Top Solutions Architect Jobs Openings in 2025

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About the teamThe Codex Deployment Engineering team helps customers adopt OpenAI's coding tools throughout their software development lifecycle. We act as trusted technical partners, guiding engineering teams as they integrate Codex into their projects and workflows. Our customers span digital-native companies to global enterprises, and we work side-by-side to accelerate how they plan, build, and deliver software.About the RoleWe are seeking a technically deep, creativity-driven AI Deployment Engineer who is already a power user of AI coding tools and passionate about pushing the boundaries of developer productivity. You will partner directly with engineering leaders and hands-on builders to design, validate, and scale advanced AI workflows, often using Codex to prototype and build the very demos, integrations, and automations customers ultimately adopt.This is a highly cross-functional role that blends technical architecture, product strategy, and customer-facing leadership. You’ll work closely with Sales, Solutions Engineering, Product, Applied Engineering, and the broader Codex organization to advocate for customer needs, shape product direction, and accelerate the successful deployment of intelligent coding systems across some of the world’s most influential companies.In this role, you will:Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows.Partner directly with customers to design and implement AI-enhanced development workflows, from rapid prototyping through scalable production rollout.Build high-quality demos, reference implementations, and workflow automations, using Codex itself as part of your development process.Lead large-format workshops, technical deep dives, and hands-on enablement sessions that help engineering organizations adopt AI coding tools effectively and safely.Contribute technical content including examples, guides, patterns, and best practices to the OpenAI Cookbook to help the broader developer community accelerate their work with Codex.Gather high-fidelity product insights from real customer deployments and translate them into clear product proposals and model feedback for internal teams.Influence customer strategy and decision-making by framing how AI coding tools fit into their SDLC, technical roadmap, and organizational workflows.Serve as a trusted advisor on solution architecture, operational readiness, model configuration, security considerations, and best-practice adoption.You’ll thrive in this role if you:Have 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers.Are an active power user of AI coding tools and have deeply customized your own developer workflow; you have a point of view on what makes engineers more productive.Enjoy building scrappy, high-signal demos, integrations, and prototypes that clearly articulate what Codex can enable, often using Codex to accelerate your own development process.Have experience delivering large, high-impact workshops or technical training to engineering teams and know how to craft sessions that are engaging, hands-on, and outcomes-driven.Have contributed technical guides, patterns, or examples publicly and care about clarity, pedagogy, and community impact.Communicate complex technical concepts in clear, persuasive written and verbal form especially when helping customers make strategic decisions about where and how to apply AI.Are excited by ambiguous, rapidly evolving problem spaces and enjoy iterating toward novel solutions hand-in-hand with customers.Care about customer success, reliability, safety, and operational excellence as much as you care about technical ingenuity.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the teamThe AI Deployment Engineering team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We act as trusted advisors and technical partners to our customers, helping them build and execute their AI adoption strategy post-sale. Our mission is to develop a strong backlog of GenAI use cases tailored to each customer’s industry and to drive these initiatives from prototype to production through hands-on technical guidance and partnership.As an AI Deployment Engineer, you will help customers across various industries transform their businesses through applications such as customer service automation, content generation, and entirely new offerings powered by our most advanced models.About the roleWe are looking for a solutions-oriented technical leader to engage with customers post-sale and ensure they realize tangible business value from their investment in OpenAI's technologies. You will work closely with senior leaders and technical teams within customer organizations to establish GenAI roadmaps, strategies, prioritize high-value use cases, and guide projects from early prototyping through enterprise-grade production deployments.You will take a holistic view of each customer’s architecture and operations, designing solutions that leverage ChatGPT, OpenAI APIs, and our broader ecosystem of tools and services. You will work cross-functionally with Sales, Solutions Engineering, Applied Research, and Product teams, and report to the Head of Solutions Architecture for your segment.This role is based in San Francisco, CA. We use a hybrid work model (3 days/week in the office) and offer relocation assistance for new employees.In this role, you will:Serve as the primary technical subject matter expert  post-sale for a portfolio of customers, embedding deeply with them to design and deploy GenAI solutions.Engage with senior business and technical stakeholders to identify, prioritize, and validate the highest-value GenAI applications in their roadmap.Accelerate customer time to value by providing architectural guidance, building hands-on prototypes, and advising on best practices for scaling solutions in production.Maintain strong relationships with leadership and technical teams to drive adoption, expansion, and successful outcomes.Contribute to open-source resources and enterprise-facing technical documentation to scale best practices across customers.Share learnings and collaborate with internal teams to inform product development and improve customer outcomes.Codify knowledge and operationalize technical success practices to help the Solutions Architecture team scale impact across industries and customer types.You’ll thrive in this role if you:Have 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers.Are a strong communicator, able to explain technical and business concepts clearly to executive and practitioner audiences alike.Have experience leading complex deployments of Generative AI or traditional machine learning systems, ideally including infrastructure and network architecture considerations.Possess hands-on proficiency in languages like Python, JavaScript, or similar, and are comfortable building prototypes or proofs of concept.Take end-to-end ownership of challenges, proactively acquiring new skills or knowledge as needed to drive success.Bring a humble, collaborative mindset and an eagerness to support teammates and customers alike.Thrive in fast-paced environments, adeptly managing multiple workstreams and prioritizing for the highest customer impact.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the teamThe AI Deployment Engineering team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We act as trusted advisors and technical partners to our customers, helping them build and execute their AI adoption strategy post-sale. Our mission is to develop a strong backlog of GenAI use cases tailored to each customer’s industry and to drive these initiatives from prototype to production through hands-on technical guidance and partnership.As an AI Deployment Engineer, you will help customers across various industries transform their businesses through applications such as customer service automation, content generation, and entirely new offerings powered by our most advanced models.About the roleWe are looking for a solutions-oriented technical leader to engage with customers post-sale and ensure they realize tangible business value from their investment in OpenAI's technologies. You will work closely with senior leaders and technical teams within customer organizations to establish GenAI roadmaps, strategies, prioritize high-value use cases, and guide projects from early prototyping through enterprise-grade production deployments.You will take a holistic view of each customer’s architecture and operations, designing solutions that leverage ChatGPT, OpenAI APIs, and our broader ecosystem of tools and services. You will work cross-functionally with Sales, Solutions Engineering, Applied Research, and Product teams, and report to the Head of Solutions Architecture for your segment.This role is primarily remote, with periodic travel to our HQ and customer sites as needed.In this role, you will:Serve as the primary technical subject matter expert  post-sale for a portfolio of customers, embedding deeply with them to design and deploy GenAI solutions.Engage with senior business and technical stakeholders to identify, prioritize, and validate the highest-value GenAI applications in their roadmap.Accelerate customer time to value by providing architectural guidance, building hands-on prototypes, and advising on best practices for scaling solutions in production.Maintain strong relationships with leadership and technical teams to drive adoption, expansion, and successful outcomes.Contribute to open-source resources and enterprise-facing technical documentation to scale best practices across customers.Share learnings and collaborate with internal teams to inform product development and improve customer outcomes.Codify knowledge and operationalize technical success practices to help the Solutions Architecture team scale impact across industries and customer types.You’ll thrive in this role if you:Have 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers.Are a strong communicator, able to explain technical and business concepts clearly to executive and practitioner audiences alike.Have experience leading complex deployments of Generative AI or traditional machine learning systems, ideally including infrastructure and network architecture considerations.Possess hands-on proficiency in languages like Python, JavaScript, or similar, and are comfortable building prototypes or proofs of concept.Take end-to-end ownership of challenges, proactively acquiring new skills or knowledge as needed to drive success.Bring a humble, collaborative mindset and an eagerness to support teammates and customers alike.Thrive in fast-paced environments, adeptly managing multiple workstreams and prioritizing for the highest customer impact.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the teamThe AI Deployment Engineering team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We act as trusted advisors and technical partners to our customers, helping them build and execute their AI adoption strategy post-sale. Our mission is to develop a strong backlog of GenAI use cases tailored to each customer’s industry and to drive these initiatives from prototype to production through hands-on technical guidance and partnership.As an AI Deployment Engineer, you will help customers across various industries transform their businesses through applications such as customer service automation, content generation, and entirely new offerings powered by our most advanced models.About the roleWe are looking for a solutions-oriented technical leader to engage with customers post-sale and ensure they realize tangible business value from their investment in OpenAI's technologies. You will work closely with senior leaders and technical teams within customer organizations to establish GenAI roadmaps, strategies, prioritize high-value use cases, and guide projects from early prototyping through enterprise-grade production deployments.You will take a holistic view of each customer’s architecture and operations, designing solutions that leverage ChatGPT, OpenAI APIs, and our broader ecosystem of tools and services. You will work cross-functionally with Sales, Solutions Engineering, Applied Research, and Product teams, and report to the Head of Solutions Architecture for your segment.This role is based in our Seattle office. We use a hybrid work model (3 days/week in the office) and offer relocation assistance for new employees.In this role, you will:Serve as the primary technical subject matter expert  post-sale for a portfolio of customers, embedding deeply with them to design and deploy GenAI solutions.Engage with senior business and technical stakeholders to identify, prioritize, and validate the highest-value GenAI applications in their roadmap.Accelerate customer time to value by providing architectural guidance, building hands-on prototypes, and advising on best practices for scaling solutions in production.Maintain strong relationships with leadership and technical teams to drive adoption, expansion, and successful outcomes.Contribute to open-source resources and enterprise-facing technical documentation to scale best practices across customers.Share learnings and collaborate with internal teams to inform product development and improve customer outcomes.Codify knowledge and operationalize technical success practices to help the Solutions Architecture team scale impact across industries and customer types.You’ll thrive in this role if you:Have 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers.Are a strong communicator, able to explain technical and business concepts clearly to executive and practitioner audiences alike.Have experience leading complex deployments of Generative AI or traditional machine learning systems, ideally including infrastructure and network architecture considerations.Possess hands-on proficiency in languages like Python, JavaScript, or similar, and are comfortable building prototypes or proofs of concept.Take end-to-end ownership of challenges, proactively acquiring new skills or knowledge as needed to drive success.Bring a humble, collaborative mindset and an eagerness to support teammates and customers alike.Thrive in fast-paced environments, adeptly managing multiple workstreams and prioritizing for the highest customer impact.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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🚀 About WRITERWRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI.Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.📐 About the roleEvery company grows differently, and at WRITER, our growth is directly tied to empowering our users to create better content, faster, and at an unprecedented scale. As a strategic solutions architect, you'll be at the forefront of this mission, working directly with our largest and most strategic prospects to identify, validate, and build innovative generative AI solutions that unlock massive business value. This isn't just about selling a product; it's about deeply understanding complex enterprise needs and architecting a future where AI transforms how our customers operate. You'll be instrumental in shaping how the world's leading companies adopt and scale AI, making a tangible impact on both their success and WRITER’s continued leadership in the enterprise generative AI space.This is a full-time, hybrid role based out of our San Francisco hub. You will report directly to the VP of solutions architecture.🦸🏻‍♀️ What you'll doDrive strategic technical discovery with Fortune 500 prospects and customers, translating complex business challenges into clear, impactful technical solutions for AI-powered workArchitect and design robust, scalable, and secure generative AI solutions for enterprise clients, leveraging WRITER's platform, APIs, and custom applications to solve critical business problemsLead the development and execution of compelling proofs of concept (PoCs) and demonstrations, building custom templates and integrating WRITER's capabilities to showcase transformative value and accelerate time-to-value for customersServe as a trusted technical advisor to C-suite executives, VPs of Engineering, and AI leaders, guiding their generative AI strategy and collaborating to define enterprise-level architecture roadmapsPartner closely with WRITER's Product and Engineering teams, providing critical feedback from customer engagements to influence our product roadmap and ensure our solutions meet evolving market needsChampion the adoption of WRITER's platform and APIs, educating prospects and partners on the art of the possible with generative AI and empowering them to build their own innovative solutions.⭐️ What you need5+ years of experience in technical customer-facing roles such as solutions architect, enterprise architect, or sales engineering, ideally within a high-growth, B2B SaaS company serving Fortune 500 clientsDeep expertise in generative AI principles, large language models (LLMs), and prompt engineering best practices, with a passion for staying ahead of the curve in this rapidly evolving fieldProficiency in Python for building out WRITER Framework solutions and extensive experience with APIs, microservices, and cloud AI platforms (e.g., Azure AI, AWS SageMaker) to integrate AI capabilities into complex enterprise systemsExceptional communication and presentation skills, able to simplify complex technical concepts into clear, compelling business language for diverse audiences, from technical teams to executive leadershipA highly versatile and tenured problem solver, capable of leading multi-stakeholder discovery sessions, uncovering root causes, and architecting innovative solutions to complex business and technical challengesA builder's mindset and a proven ability to Connect deeply with customer needs, Challenge the status quo with innovative AI solutions, and Own the technical success and impact of client engagements 🍩 Benefits & perks (US Full-time employees)Generous PTO, plus company holidaysMedical, dental, and vision coverage for you and your familyPaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriFlexible spending account and dependent FSA optionsHealth savings account for eligible plans with company contributionAnnual work-life stipends for:Wellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation, company stock options and 401kWRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice.

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🚀 About WRITERWRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI.Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.📐 About the roleAt WRITER, we're not just building the future of enterprise AI; we're actively orchestrating it. The solutions architect manager plays a pivotal role in this journey, leading a team of exceptional solutions architects who empower our enterprise customers to unlock the full potential of our cutting-edge generative AI platform. You’ll be at the forefront of driving AI transformation, moving beyond theoretical discussions to hands-on deployment and measurable impact. This is your chance to lead, mentor, and inspire a team dedicated to solving complex business challenges with innovative AI solutions, directly influencing customer success and WRITER's rapid growth.This is a full-time, hybrid role based out of our San Francisco hub. You will report directly to the VP of solutions architecture.🦸🏻‍♀️ What you'll doLead and empower a team of highly skilled solutions architects, fostering their technical growth and career development across complex enterprise AI engagementsDrive the successful adoption and deployment of WRITER's generative AI platform by overseeing key pre-sales technical engagements, including use case discovery, proof-of-concept execution, and value realization for strategic customersPartner closely with sales leadership and go-to-market teams to develop strategic account plans, define compelling technical value propositions, and accelerate pipeline growth for WRITER's solutionsAct as an executive technical sponsor for WRITER’s most strategic accounts, building strong relationships with C-level stakeholders and becoming their trusted advisor in AI strategy and implementationInfluence WRITER's product roadmap by gathering critical market insights and customer feedback, ensuring our platform continuously addresses evolving enterprise AI needsArchitect robust, scalable, and secure AI solutions for diverse enterprise environments, integrating WRITER's platform with complex customer data ecosystems and existing technical stacksTransform how we facilitate customer evaluations and proofs of concept, implementing best practices and scalable processes that demonstrate clear ROI and accelerate time-to-value for our clients⭐️ What you needExperience as a seasoned and strategic leader of leaders and have 4+ years of management experience where you have managed other individuals who are collectively responsible for scaling a highly effective pre-sales (solutions architecture) organization.Proven expertise in leading and scaling a solutions architecture or sales engineering organization within a high-growth, fast-paced technology company, ideally blending startup agility with enterprise best practicesDeep technical proficiency in generative AI, large language models (LLMs), machine learning, and cloud-native architectures (AWS, Azure, GCP), coupled with hands-on experience in Python or similar scripting languagesDemonstrated ability to manage complex implementations of AI/ML solutions, understanding data pipelines, model deployment, security, and compliance in diverse, large-scale enterprise environmentsExceptional communication, presentation, and interpersonal skills, capable of translating intricate technical concepts into clear business value for executive and technical audiences, while also mentoring your team to do the sameA strategic mindset, constantly looking for opportunities to innovate, optimize processes, and drive measurable impact across customer engagements and internal team operationsA passionate commitment to our values at WRITER: Connect, by building strong relationships with customers and colleagues; Challenge, by pushing boundaries and fostering continuous improvement; and Own, by taking responsibility for results and driving them to completion 🍩 Benefits & perks (US Full-time employees)Generous PTO, plus company holidaysMedical, dental, and vision coverage for you and your familyPaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriFlexible spending account and dependent FSA optionsHealth savings account for eligible plans with company contributionAnnual work-life stipends for:Wellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation, company stock options and 401kWRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice.

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🚀 About WRITERWRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI.Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.📐 About the roleAs a customer AI architect at WRITER, you'll be at the forefront of expanding human capacity through superintelligence. This isn't just a technical role; it's a deeply influential one where you'll partner directly with our leading enterprise customers. Your expertise will be crucial in uncovering their unique business challenges and architecting AI-powered solutions that leverage our powerful platform and enterprise-grade LLMs. You'll transform complex needs into tangible, high-impact applications, creating champions and driving tangible business results. Your builder's mentality and passion for bringing cutting-edge AI into the hands of real users will directly shape the future of work for some of the world's largest companies.This is a critical role that directly impacts our customers' success and product evolution. You'll contribute significantly to WRITER's mission, working with a dynamic team to push the boundaries of what's possible with generative AI.This is a hybrid role based out of our London hub. You'll initially report to our VP of technical delivery.🦸🏻‍♀️ What you'll doPartner deeply with enterprise customers to identify strategic AI use cases, validating technical feasibility and owning the end-to-end implementation of tailored solutionsArchitect and deliver custom applications, templates, and integrations leveraging WRITER's platform, APIs, and Knowledge Graph capabilities to solve complex business challengesTranslate intricate technical concepts and platform capabilities into clear, prescriptive solution recommendations, guiding customers through the generative AI landscapeCollaborate relentlessly with internal Product and Engineering teams, providing crucial customer feedback that directly influences our product roadmap and drives continuous innovationDrive down customer time-to-value by developing scalable processes, robust documentation, and efficient workflows for technical integrationsChampion the successful adoption and expansion of WRITER's AI solutions within customer accounts, ensuring maximum impact and return on investment⭐️ What you needOver 5 years of hands-on experience in technical SaaS roles, with at least 3 years specifically in solutions architecture, technical consulting, or technical account managementDeep technical fluency in Python and extensive experience leveraging APIs, especially in designing sophisticated prompts and understanding linguistic principles for AI applicationsProven track record of architecting and delivering complex technical solutions for Fortune 500 enterprises in a fast-paced, high-growth B2B SaaS environmentExceptional communication and executive presence, capable of simplifying complex AI concepts for diverse audiences, from technical teams to C-suite leadershipA true builder's mindset with a passion for emerging technologies, always eager to experiment, learn, and iterate in the rapidly evolving world of generative AIA relentless drive to Connect with customers and internal teams, Challenge the status status quo with innovative solutions, and Own the successful outcomes for our most strategic accounts🍩 Benefits & perks (UK full-time employees):Generous PTO, plus company holidaysComprehensive medical and dental insurancePaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriCompetitive pension scheme and company contributionAnnual work-life stipends for:Wellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation and company stock options

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🚀 About WRITERWRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI.Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.📐 About the roleAs a customer AI architect at WRITER, you'll be at the forefront of expanding human capacity through superintelligence. This isn't just a technical role; it's a deeply influential one where you'll partner directly with our leading enterprise customers. Your expertise will be crucial in uncovering their unique business challenges and architecting AI-powered solutions that leverage our powerful platform and enterprise-grade LLMs. You'll transform complex needs into tangible, high-impact applications, creating champions and driving tangible business results. Your builder's mentality and passion for bringing cutting-edge AI into the hands of real users will directly shape the future of work for some of the world's largest companies.This is a critical role that directly impacts our customers' success and product evolution. You'll contribute significantly to WRITER's mission, working with a dynamic team to push the boundaries of what's possible with generative AI.This is a hybrid role based out of our San Francisco or New York City hubs, or remote within the US. You'll initially report to our VP of technical delivery.🦸🏻‍♀️ What you'll doPartner deeply with enterprise customers to identify strategic AI use cases, validating technical feasibility and owning the end-to-end implementation of tailored solutionsArchitect and deliver custom applications, templates, and integrations leveraging WRITER's platform, APIs, and Knowledge Graph capabilities to solve complex business challengesTranslate intricate technical concepts and platform capabilities into clear, prescriptive solution recommendations, guiding customers through the generative AI landscapeCollaborate relentlessly with internal Product and Engineering teams, providing crucial customer feedback that directly influences our product roadmap and drives continuous innovationDrive down customer time-to-value by developing scalable processes, robust documentation, and efficient workflows for technical integrationsChampion the successful adoption and expansion of WRITER's AI solutions within customer accounts, ensuring maximum impact and return on investment⭐️ What you needOver 5 years of hands-on experience in technical SaaS roles, with at least 3 years specifically in solutions architecture, technical consulting, or technical account managementDeep technical fluency in Python and extensive experience leveraging APIs, especially in designing sophisticated prompts and understanding linguistic principles for AI applicationsProven track record of architecting and delivering complex technical solutions for Fortune 500 enterprises in a fast-paced, high-growth B2B SaaS environmentExceptional communication and executive presence, capable of simplifying complex AI concepts for diverse audiences, from technical teams to C-suite leadershipA true builder's mindset with a passion for emerging technologies, always eager to experiment, learn, and iterate in the rapidly evolving world of generative AIA relentless drive to Connect with customers and internal teams, Challenge the status status quo with innovative solutions, and Own the successful outcomes for our most strategic accounts 🍩 Benefits & perks (US Full-time employees)Generous PTO, plus company holidaysMedical, dental, and vision coverage for you and your familyPaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriFlexible spending account and dependent FSA optionsHealth savings account for eligible plans with company contributionAnnual work-life stipends for:Wellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation, company stock options and 401kWRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice.

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About the CompanyModels are what they eat. But a large portion of training compute is wasted training on data that are already learned, irrelevant, or even harmful, leading to worse models that cost more to train and deploy.At DatologyAI, we’ve built a state of the art data curation suite to automatically curate and optimize petabytes of data to create the best possible training data for your models. Training on curated data can dramatically reduce training time and cost (7-40x faster training depending on the use case), dramatically increase model performance as if you had trained on >10x more raw data without increasing the cost of training, and allow smaller models with fewer than half the parameters to outperform larger models despite using far less compute at inference time, substantially reducing the cost of deployment. For more details, check out our recent blog posts sharing our high-level results for text models and image-text models.We raised a total of $57.5M in two rounds, a Seed and Series A. Our investors include Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, Amazon, and AI visionaries like Geoff Hinton, Yann LeCun, Jeff Dean, and many others who deeply understand the importance and difficulty of identifying and optimizing the best possible training data for models. Our team has pioneered this frontier research area and has the deep expertise on both data research and data engineering necessary to solve this incredibly challenging problem and make data curation easy for anyone who wants to train their own model on their own data.This role is based in Redwood City, CA. We are in office 4 days a week.About the RoleWe are looking for a highly technical Solutions Engineer with deep ML and AI platform experience to support customers in a pre-sales role. In this role, you will partner closely with our most strategic prospects to deeply understand their data curation needs, technical constraints, and business goals, and to design scalable solutions that demonstrate the impact of DatologyAI’s platform.This role requires strong hands-on understanding of modern LLM/VLM training and evaluation. You will work directly with customer ML teams to design PoCs that connect data curation decisions to measurable outcomes in model quality, training efficiency, and downstream performance—across the full lifecycle of training (pre-training, mid-training, and post-training), and with rigorous evaluation plans and reporting. What You’ll Work OnEmbed deeply with strategic customers to understand their data curation needs, business challenges, and technical requirements in detail.Lead end-to-end customer PoCs that connect data curation, training behavior, evaluation outcomes, including dataset analysis, training plan design, and results interpretation.Partner with customer ML teams to map data & curation strategyDesign and execute evaluation plans for base and post-trained models, selecting appropriate benchmarks/metrics, and running model evaluationsProduce customer-ready evaluation reports: methodology, metrics, baselines, ablations (e.g., curated vs raw), conclusions, and recommended next steps for productionization.Communicate technical results to both ML experts and exec stakeholders, including tradeoffs in compute, latency, and deployment cost.Collaborate closely with GTM, Engineering, and Research teams to ensure seamless customer experiences, deliver compelling demos, align on requirements, and bring customer insights into actionable model training and product strategies.Provide technical guidance, training, and clear documentation to ensure prospects can confidently assess the solution. About You4+ years of experience in software, ML platform, solutions, or customer engineering roles, with significant experience driving technical pre-sales engagements and PoCs.Strong practical expertise in ML model training, including how models are trained and improved across pre-training, domain-specific mid-training, and post-training, such as supervised fine-tuning and reinforcement learning.Demonstrated ability to design, run, and interpret model evaluations for base and post-trained models: choosing metrics/benchmarks, building or using evaluation harnesses, analyzing results, and presenting findings clearly with customers.Strong programming skills in Python (or equivalent); able to prototype quickly and iterate with customers.Experience with data processing / distributed systems (e.g., Spark, Ray, data lakes/warehouses) and comfort working with large-scale datasets.Familiarity with modern ML infrastructure: PyTorch/Hugging Face ecosystems, distributed training concepts, and deployment environments across cloud/on-prem/hybrid.Familiarity with cloud platforms (AWS/GCP/Azure) and containerization (Docker/Kubernetes).Strong communication skills, with the ability to translate complex ML and systems topics for diverse audiences.Required to travel to customer sites as needed to support pre-sales engagements. CompensationAt DatologyAI, we are dedicated to rewarding talent with highly competitive salary and significant equity. The salary for this position ranges from $230,000 to $300,000 OTE.The candidate's starting pay will be determined based on job-related skills, experience, qualifications, and interview performance.We offer a comprehensive benefits package to support our employees' well-being and professional growth:100% covered health benefits (medical, vision, and dental).401(k) plan with a generous 4% company match.Unlimited PTO policyAnnual $2,000 wellness stipend.Annual $1,000 learning and development stipend.Daily lunches and snacks are provided in our office!Relocation assistance for employees moving to the Bay Area.

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?In this role as a Solutions Architect at Cohere, you will play a significant role in growing our business. In this dynamic role, you will need to be both a strategic thinker and a hands-on doer. You will take a hands-on approach to building customer demos and proof of concepts that showcase the business value of our platform. As the technical relationship owner, you will collaborate with stakeholders to understand their business objectives and translate those into technical solutions. You will take ownership of the customer narrative, serving as the voice of the customer and acting as a liaison between the customer and our product team. Additionally, you will provide guidance on best practices for using Cohere, identify areas for improvement within the platform, and cultivate technical champions within customer organizations to drive adoption and gather feedback to enhance our products.In this role, you will:Develop and deliver cutting-edge agentic AI solutions utilizing Cohere’s foundation models and Agentic AI Foundry - North.Architect scalable, secure, and customizable NLP and generative AI solutions tailored to enterprise customer needs.Collaborate with customers to understand complex workflows, design pilots, and translate business requirements into technical solutions encompassing model fine-tuning, custom agents, and agent orchestration.Support deployment and integration of large language models (LLMs) and custom solutions into production environments using Kubernetes, Docker, and cloud infrastructures, ensuring high performance and security.Lead technical engagements, including deep dives into AI architectures, workshop facilitation, and establishing best practices for agent-based AI systems and model customization.Work with product development to provide customer feedback on agentic AI capabilities, contribute to product enhancements, and help shape future features.This career opportunity may be a good match for you if you possess:5+ years of experience in AI/ML solution architecture, with demonstrated expertise in agentic AI, model customization, and deploying tailored AI models in enterprise contexts.Strong hands-on skills with Python, Jupyter Notebooks, and cloud-native deployment frameworks such as Kubernetes, Docker, Cloud managed AI services like AWS Sagemaker, Bedrock, or Azure AI Foundry or Google Vertex AI.Experience in designing and deploying “agentified” AI workflows, that involve multiple interconnected models or agents, to solve business challenges.Hands-on experience building on agent orchestration frameworks like Cohere North and deploying custom agents to production.Familiarity with model fine-tuning methodologies, and the development of AI agents optimized for specific workflows and enterprise needs.In-depth understanding of the strengths, weaknesses, and operational considerations of generative LLMs, with experience in customizing and orchestrating these models.Excellent communication skills to articulate complex AI architectures to both technical stakeholders and executive audiences.Nice to have: Background in building and managing scalable AI/ML ecosystems, with knowledge of multi-cloud deployment strategies.Nice to have: Familiarity with security standards for deploying agent-based AI solutions, including data privacy, model safety, and access controls.Nice to have: Experience working in a startup-like context.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacation (30 working days!)

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About us:At Articul8 AI, we relentlessly pursue excellence and create exceptional AI products that exceed customer expectations. We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business. We believe in using our advantages to make a positive impact on the world and inspiring others to do the same.Job Description:Articul8 AI is seeking an exceptional Solution Architect to join us in shaping the future of Generative Artificial Intelligence (GenAI). We are looking for a Solution Architect with a proven track record of architecting, designing, and building scalable, reliable, and cost-effective solutions. As a member of our Product Technology team, you will work closely with a customer's technical and business leaders to gain a deep understanding of their technical gaps and needs, and business objectives. You will craft optimal GenAI-based solutions that promote innovation and accelerate our process of bringing new products to market. This position offers exciting opportunities to work closely with cross-functional teams and external partners to drive innovations in enterprise-grade GenAI.Responsibilities:Solution Design: Develop detailed and scalable architectural designs to address client needs. This involves utilizing Articul8 products as well as third party libraries and tools and designing solutions that leverage these resources effectively.Piloting and Prototyping: Run pilot programs with customers to demonstrate feasibility and advantages of proposed Articul8-based solutions. In the process, they often are responsible for introducing new product features or even building prototypes of new products.Client Interaction: Work closely with clients to understand their business challenges and technical requirements. Conduct workshops, meetings, and presentations to communicate solutions and best practices.Performance Optimization: Optimize solutions for performance, reliability, and cost-effectiveness. This involves selecting appropriate instance types, auto-scaling configurations, and storage options.Security and Compliance: Ensure that solutions comply with security best practices and regulatory requirements. Implement identity and access management, data encryption, and other security measures.Documentation and Training: Create comprehensive documentation of the solution architecture and provide training to clients or internal teams on the implementation and management of the solution.Teamwork: Collaborate with cross-functional teams, including Applied Research, Engineering, Quality Assurance, and Customer Success, to seamlessly incorporate innovation and maintain our product technology leadership.Leadership: Mentor and guide junior team members and help building a strong culture of rapid innovationRequired Qualifications:Professional experience:2+ years of design, implementation, or consulting in applications and infrastructures experience4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experienceEducation: BSc degree in Computer Science, Engineering, Mathematics, or a related field.Preferred Qualifications:Technology stack:Cloud Platforms: AWS, Azure, GCPProgramming Languages: Python, Node.js, Go, RubyAPIs and Integration: OpenAPI, FastAPI, Swagger, Flask, RESTDatabases: PostgreSQL, MySQL, MongoDB, RedisML Frameworks: PyTorch, Scikit-learn, KerasDevelopment and Deployment: Jenkins, Docker, KubernetesMonitoring and Logging: Prometheus, Grafana, ELK Stack.Version Control: Git, GitHub, GitLabArchitecture Design and Modeling: Microsoft Visio, Drawio.Collaboration and Project Management: JIRA, Confluence, TrelloMaster’s or PhD in Computer science or related technical fields.Experience developing tools, libraries, and infrastructure for data preprocessing, model training/finetuning, and deployment of LLMs in research and production environments.Professional Attributes:Problem Solving: ability to break down complex problems into manageable components, devising creative solutions, and iteratively refining ideas based on feedback and experimental evidence.Collaboration and Communication: proficiency in working within cross-functional teams—communicating clearly, providing constructive criticism, delegating responsibilities, and respecting diverse perspectives.Project Management and Prioritization: demonstrated aptitude in balancing multiple projects, deadlines, and allocating time efficiently between short-term objectives and long-term goals. Ability to follow and oversee projects, coordinating resources, setting milestones, monitoring progress, and adjusting plans accordingly.Critical Thinking: ability to carefully evaluate assumptions, questioning established methodologies, challenging own biases, and maintaining skepticism when interpreting results.Curiosity and Continuous Learning: ability to stay curious about advances in related fields and constantly seeking opportunities to expand knowledge base.Emotional Intelligence and Intellectual Humility: capable of displaying empathy, resilience, adaptability, and self-awareness. Ability to recognize own limitations, embracing uncertainty, acknowledging mistakes, and valuing others' contributions. By joining our team, you become part of a community that embraces diversity, inclusiveness, and lifelong learning. We nurture curiosity and creativity, encouraging exploration beyond conventional wisdom. Through mentorship, knowledge exchange, and constructive feedback, we cultivate an environment that supports both personal and professional development. Your future experience at Articul8 will include continuous learning and growth opportunities as we embark on an exciting journey to disrupt the status quo. If you're excited about joining a team that's passionate about making a difference, we want to hear from you. In addition to our competitive salary and benefits package, we offer a range of perks and programs designed to help you succeed, including: Professional development opportunities, including training and mentorship programsFlexible work arrangements, including remote work optionsAccess to the latest technologies and toolsRegular social events and team-building activitiesA supportive and inclusive work environment If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team. Join us on this adventure and help shape the future of Generative AI in the enterprise.NOTE: This position is available via CLT contract only, Thank you!

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About Articul8 AIAt Articul8, we build enterprise-grade Generative AI solutions that help global organizations unlock new value from their data. Our platform is trusted by some of the world's most innovative companies, and we partner closely with customers to design, deploy, and scale AI solutions that deliver measurable impact.As a fast-moving startup, we move with urgency and focus. Every team member has real ownership, and the work you do here directly shapes our platform and our customers' success. If you thrive in an environment where innovation happens daily and impact is visible, Articul8 is the place to do the best work of your career.Role OverviewWe are seeking a Senior Solution Architect with 10+ years of experience to join our Customer Success team. In this comprehensive role, you will guide customers through their entire AI journey - from initial solution architecture and technical discovery in pre-sales to hands-on implementation and optimization post-sale. This position requires both strategic thinking to articulate the value of our platform and technical depth to ensure successful deployment in complex enterprise environments.Key ResponsibilitiesSolution Design: Deeply understand customer business challenges, mapping them to technical solutions and crafting compelling AI prototypes on the Articul8 platform that address real business objectives.Customer Enablement: Lead technical workshops, hackathons, and training sessions to help customers envision AI transformation and empower their teams for ongoing success.Cross-Functional Collaboration: Work seamlessly with Sales, Product, and Engineering teams to position the platform and deliver best-fit solutions.Platform Deployment: Oversee installation, configuration, and scaling of the Articul8 platform in customer environments, ensuring high standards of security, reliability, and performance.Custom Engineering: Develop and implement tailored workflow solutions to meet unique customer needs and requirements.Infrastructure Optimization: Architect and tune Kubernetes-based environments on AWS, Azure, GCP, and on-premises for infrastructure excellence.Ongoing Training: Deliver enablement workshops and documentation to support long-term customer autonomy and expansion.Continuous Improvement: Monitor and refine deployments for cost-effectiveness, performance scalability, and resilience.Customer Advocacy: Gather feedback and relay it to Product and Engineering, influencing roadmap and product enhancements based on actual customer needs.Required Qualifications10+ years in solution architecture, technical implementation, or enterprise software delivery, with a proven track record of engaging and advising executive and technical leadership.Advanced proficiency in Kubernetes orchestration, cloud platforms (AWS, Azure, GCP), microservices, and containerization.Strong foundation in modern programming languages such as Python, Node.js, or Go with hands-on software engineering experience.Deep understanding of enterprise integration patterns, RESTful APIs, and GraphQL.Demonstrated skill in building effective prototypes, demos, and production-ready deployments.Exceptional ability to communicate complex technical concepts clearly to both executive and engineering audiences, with strong presentation and documentation skills.Expertise in generative AI building blocks and at least one specialization in AI/ML pipelines, API design, data engineering, vector/graph databases, or AI model orchestration.Willingness and ability to travel for customer workshops, deployments, and support as necessary.Our Culture MattersAt Articul8, culture isn't just words — it's how we show up for each other and our customers:Practice humility – Listen first, respect all voices, and recognize that great solutions are built together.Bias for outcomes – Focus on impact, not just effort; deliver meaningful results that matter to our customers.Care deeply – About customers, teammates, and the quality of our deliverables. Act as Customer 0 for our products and tools.Dare to do the impossible & embrace scarcity – Push boundaries with creativity and resourcefulness.Build a better world – Use our technology and platform to create solutions that benefit not just enterprises, but society at large.What We OfferJoining Articul8 means stepping into a startup environment where every contribution matters and outcomes move the company forward. It's an "all in" culture — not about long hours, but about shared commitment, ownership, and impact.The opportunity to architect and implement cutting-edge Generative AI for leading global enterprises.A culture of curiosity and technical excellence, where you'll continuously learn and grow.High ownership of solutions — your work goes live, impacts customers directly, and informs the product roadmap.A collaborative team that values diversity, inclusion, and creativity, supporting both personal and professional development.Equity and ownership opportunities in a category-defining company.The chance to build reference architectures and deployments that will shape enterprise AI adoption at scale.If you're ready to join a team that's moving fast, thinking big, and helping customers succeed with Generative AI from initial vision through production deployment, we'd love to hear from you.

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About Articul8 AIAt Articul8, we build enterprise-grade Generative AI solutions that help global organizations unlock new value from their data. Our platform is trusted by some of the world's most innovative companies, and we partner closely with customers to design, deploy, and scale AI solutions that deliver measurable impact.As a fast-moving startup, we move with urgency and focus. Every team member has real ownership, and the work you do here directly shapes our platform and our customers' success. If you thrive in an environment where innovation happens daily and impact is visible, Articul8 is the place to do the best work of your career.Role OverviewThe Manufacturing & Industrial Solutions Architect at Articul8 will play a critical role in partnering with leading manufacturing companies to design, implement, and optimize scalable, flexible, and resilient cloud architectures. This senior technical role will merge deep manufacturing and industrial domain expertise, cloud architecture proficiency, and customer success engagement to deliver measurable business impact. The role includes guiding the product roadmap by driving feedback and market insights into solution strategy and product development in complex enterprise environments.Key ResponsibilitiesDesign and deploy scalable architectures for manufacturing use cases including industrial operations that include SCADA/HMI, EDA, IoT, Machine Learning, AI, and advanced analytics.Lead technical workshops, prototype solutions, and oversee platform deployment and optimization.Collaborate with product and engineering teams to incorporate customer feedback into the product roadmap.Advise customers on Articul8 product adoption strategies with a focus on differentiating capability, security, cost, and operational efficiency.Architect and tune Kubernetes-based and containerized infrastructure leveraging cloud platforms (AWS, Azure, GCP, or on-premises) to ensure infrastructure excellence.Develop reusable solution templates and document best practices.Partner with sales and business development to drive cloud adoption and align solutions with industry trends.Continuously monitor and improve deployed solutions for performance and scalability.Communicate technical concepts clearly to diverse audiences and advocate for customer needs internally.Stay current with emerging manufacturing and cloud technologies to inform strategy and ability to support other industry verticals when required.Required Qualifications10+ years of experience in solution architecture, technical implementation, or enterprise software delivery, including significant engagement with executive and technical leadership.Strong expertise in cloud platforms, Kubernetes orchestration, containerization, microservices architecture, and modern programming languages (e.g., Python, Node.js, Go).Deep understanding of manufacturing industry specific challenges, IT/OT convergence, and digital transformation.Experience with enterprise integration patterns, RESTful APIs, GraphQL, and data engineering.Proven ability to build effective prototypes, demos, and production-grade deployments.Exceptional communication skills, capable of articulating complex technical concepts clearly across business and engineering audiences.Expertise in generative AI building blocks and at least one specialization in AI/ML pipelines, API design, data engineering, vector/graph databases, or AI model orchestration.Willingness and ability to travel for customer workshops, deployments, and support as necessary.Our Culture MattersAt Articul8, culture isn't just words — it's how we show up for each other and our customers:Practice humility – Listen first, respect all voices, and recognize that great solutions are built together.Bias for outcomes – Focus on impact, not just effort; deliver meaningful results that matter to our customers.Care deeply – About customers, teammates, and the quality of our deliverables. Act as Customer 0 for our products and tools.Dare to do the impossible & embrace scarcity – Push boundaries with creativity and resourcefulness.Build a better world – Use our technology and platform to create solutions that benefit not just enterprises, but society at large.What We OfferJoining Articul8 means stepping into a startup environment where every contribution matters and outcomes move the company forward. It's an "all in" culture — not about long hours, but about shared commitment, ownership, and impact.The opportunity to architect and implement cutting-edge Generative AI for leading global enterprises.A culture of curiosity and technical excellence, where you'll continuously learn and grow.High ownership of solutions — your work goes live, impacts customers directly, and informs the product roadmap.A collaborative team that values diversity, inclusion, and creativity, supporting both personal and professional development.Equity and ownership opportunities in a category-defining company.The chance to build reference architectures and deployments that will shape enterprise AI adoption at scale.If you're ready to join a team that's moving fast, thinking big, and helping customers succeed with Generative AI from initial vision through production deployment, we'd love to hear from you.

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Our MissionReflection’s mission is to build open superintelligence and make it accessible to all.We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.Role OverviewReflection is building frontier AI systems and partnering closely with customers to deploy them in real-world, high-impact environments. We’re looking for a Solutions Architect to work directly with prospective customers and partners, helping them understand what’s possible with Reflection’s models and translating business problems into concrete technical solutions.In this role, you’ll sit at the intersection of sales, engineering, and partnerships. You will own technical discovery, shape AI use cases, and enable both customers and partners to successfully evaluate and adopt Reflection’s technology.What You’ll DoEnterprise Solutions ArchitecturePartner with account executives to deeply understand customer needs, prioritize high-impact use cases, and translate them into technical solutions.Design and deliver customer-specific demos and prototypes that showcase the power of our models.Serve as the primary technical advisor throughout the enterprise sales cycle, from initial discovery to deployment.Develop and maintain high-quality technical pre-sales assets tailored to different audiences, from engineering deep dives to business executive summaries.Represent Reflection at customer meetings, partner summits, and industry events.Partner Solutions ArchitectureLead the technical integration of Reflection's models within our distribution partners' platforms (cloud, inference providers, and system integrators).Own the technical enablement of partner sales and solutions engineering teams through technical workshops, training, and joint solution sessions.Develop joint sales assets with partner teams, including reference architectures, deployment patterns, case studies, and documentation.Provide technical expertise for priority partner accounts alongside Reflection's partnerships team.What We're Looking For:5+ years of technical pre-sales experience in roles such as Solutions Architect, Sales Engineer, Partner Solutions, or similar technical consulting roles.Strong software engineering foundations. You are hands-on with code (Python, TypeScript) and can build functional demos and proof-of-concept applications from scratch.Deep familiarity with the generative AI ecosystem, including the modern agent engineering stack: LLM orchestration, RAG architectures, vector databases, and fine-tuning strategies.Deep understanding of enterprise software architectures, including cloud and on-premise environments, containerization, and deployment patterns for AI solutions.Experience building enablement assets (documentation, presentations, workshops) and driving technical evangelism at scale.Excellent presentation and communication skills, with the ability to adapt your messaging across technical and business stakeholders.What We Offer:We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models.We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time. Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?In this role as a Solutions Architect at Cohere, you will play a significant role in growing our business. In this dynamic role, you will need to be both a strategic thinker and a hands-on doer. You will take a hands-on approach to building customer demos and proof of concepts that showcase the business value of our platform. As the technical relationship owner, you will collaborate with stakeholders to understand their business objectives and translate those into technical solutions. You will take ownership of the customer narrative, serving as the voice of the customer and acting as a liaison between the customer and our product team. Additionally, you will provide guidance on best practices for using Cohere, identify areas for improvement within the platform, and cultivate technical champions within customer organizations to drive adoption and gather feedback to enhance our products.In this role, you will:Develop and deliver cutting-edge agentic AI solutions utilizing Cohere’s foundation models and Agentic AI Foundry - North.Architect scalable, secure, and customizable NLP and generative AI solutions tailored to enterprise customer needs.Collaborate with customers to understand complex workflows, design pilots, and translate business requirements into technical solutions encompassing model fine-tuning, custom agents, and agent orchestration.Support deployment and integration of large language models (LLMs) and custom solutions into production environments using Kubernetes, Docker, and cloud infrastructures, ensuring high performance and security.Lead technical engagements, including deep dives into AI architectures, workshop facilitation, and establishing best practices for agent-based AI systems and model customization.Work with product development to provide customer feedback on agentic AI capabilities, contribute to product enhancements, and help shape future features.This career opportunity may be a good match for you if you possess: 5+ years of experience in AI/ML solution architecture, with demonstrated expertise in agentic AI, model customization, and deploying tailored AI models in enterprise contexts.Strong hands-on skills with Python, Jupyter Notebooks, and cloud-native deployment frameworks such as Kubernetes, Docker, Cloud managed AI services like AWS Sagemaker, Bedrock, or Azure AI Foundry or Google Vertex AI.Experience in designing and deploying “agentified” AI workflows, that involve multiple interconnected models or agents, to solve business challenges.Hands-on experience building on agent orchestration frameworks like Cohere North and deploying custom agents to production.Familiarity with model fine-tuning methodologies, and the development of AI agents optimized for specific workflows and enterprise needs.In-depth understanding of the strengths, weaknesses, and operational considerations of generative LLMs, with experience in customizing and orchestrating these models.Excellent communication skills to articulate complex AI architectures to both technical stakeholders and executive audiences.Nice to have: Background in building and managing scalable AI/ML ecosystems, with knowledge of multi-cloud deployment strategies.Nice to have: Familiarity with security standards for deploying agent-based AI solutions, including data privacy, model safety, and access controls.Nice to have: Experience working in a startup-like context.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacation (30 working days!)

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?In this role as a Solutions Architect at Cohere, you will play a significant role in growing Cohere’s Defence and National Security business. In this dynamic role, you will need to be both a strategic thinker and a hands-on doer. You will take a hands-on approach to building customer demos and proof of concepts that showcase the business value of our platform. As the technical relationship owner, you will collaborate with stakeholders to understand their business objectives and translate those into technical solutions. You will take ownership of the customer narrative, serving as the voice of the customer and acting as a liaison between the customer and our product team. Additionally, you will provide guidance on best practices for using Cohere, identify areas for improvement within the platform, and cultivate technical champions within customer organizations to drive adoption and gather feedback to enhance our products.In this role, you will:Develop and deliver cutting-edge agentic AI solutions utilizing Cohere’s foundation models and Agentic AI Foundry - North.Architect scalable, secure, and customizable NLP and generative AI solutions tailored to enterprise customer needs.Collaborate with customers to understand complex workflows, design pilots, and translate business requirements into technical solutions encompassing model fine-tuning, custom agents, and agent orchestration.Support deployment and integration of large language models (LLMs) and custom solutions into production environments using Kubernetes, Docker, and cloud infrastructures, ensuring high performance and security.Lead technical engagements, including deep dives into AI architectures, workshop facilitation, and establishing best practices for agent-based AI systems and model customization.Work with product development to provide customer feedback on agentic AI capabilities, contribute to product enhancements, and help shape future features.This career opportunity may be a good match for you if you possess: 5+ years of experience in AI/ML solution architecture, with demonstrated expertise in agentic AI, model customization, and deploying tailored AI models in enterprise contexts.Top Secret Security clearance in CanadaStrong hands-on skills with Python, Jupyter Notebooks, and cloud-native deployment frameworks such as Kubernetes, Docker, Cloud managed AI services like AWS Sagemaker, Bedrock, or Azure AI Foundry or Google Vertex AI.Experience in designing and deploying “agentified” AI workflows, that involve multiple interconnected models or agents, to solve business challenges.Hands-on experience building on agent orchestration frameworks like Cohere North and deploying custom agents to production.Familiarity with model fine-tuning methodologies, and the development of AI agents optimized for specific workflows and enterprise needs.In-depth understanding of the strengths, weaknesses, and operational considerations of generative LLMs, with experience in customizing and orchestrating these models.Excellent communication skills to articulate complex AI architectures to both technical stakeholders and executive audiences.Nice to have: Background in building and managing scalable AI/ML ecosystems, with knowledge of multi-cloud deployment strategies.Nice to have: Familiarity with security standards for deploying agent-based AI solutions, including data privacy, model safety, and access controls.Nice to have: Experience working in a startup-like context.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacation (30 working days!)

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About Enterpret  At Enterpret, we are building customer feedback intelligence for product development teams. We are solving complex problems in natural language processing, serverless computing, analytics on frontend, pushing the envelope of what’s possible by applying first principle thinking. We are backed by some of the most storied VC firms like Kleiner Perkins, and Sequoia Capital who share our conviction. We are also lucky to have some of the most respected product development teams like Canva, Notion, Samsung and Loom, as our customers. We love working with folks who are resourceful, thrive in ambiguity, and display a strong sense of ownership. Our engineering culture is built around leveraging and contributing to open-source tools. We aim to build upon and improve state-of-the-art systems in our field of work. Read more about our team, core values, and operating principles - here. What You’ll Do Build and scale core backend systems that power our customer feedback intelligence platform. Partner closely with the founding team to develop features and ship quickly. Solve complex engineering challenges in distributed systems and ML infrastructure. Design cost-effective and scalable solutions using modern backend architectures. Collaborate cross-functionally with design, frontend, and data science teams. Contribute to product direction with ideas and proof-of-concepts. Continuously raise the bar on reliability, scalability, and engineering excellence. What It Takes 6+ years in software engineering, with a proven record of building and shipping reliable systems. 3+ years at one organization where you’ve built systems from scratch and led projects. Deep expertise in distributed systems, domain modeling, and event-driven/microservices architectures. Proficiency in at least one of our core stack areas: Golang, serverless architectures, SQL/NoSQL databases, ElasticSearch, GraphQL, or microservices. Experience working with CI/CD pipelines and automated testing. Strong interpersonal skills with a track record of mentoring and collaborating with other engineers. Analytical and organizational ability to break down and solve ambiguous problems. Why Enterpret? High Impact: Build foundational systems at an early-stage startup where every line of code matters. Ownership: End-to-end responsibility for features and systems. Complex Challenges: Work on state-of-the-art ML platforms, distributed infra, and real-time analytics. Growth: Learn and grow with a high-caliber team and expand into leadership or deep technical expertise. Culture: Open, collaborative, and values-driven environment with autonomy. Benefits: Competitive salary, equity, hybrid work setup, premium healthcare, and more. What We Value At Enterpret, we operate with a deep sense of ownership — we play for the team and do what it takes to win together. We care personally for our teammates while pushing each other with honest, actionable feedback. Above all, we approach everything with humility and a drive to keep learning and getting better.   Equal Opportunities We are an equal opportunity employer. We ensure that none of our employees or prospective employees receives less favourable treatment as a result of age, sex, disability, marital status, colour, race, religion or ethnic origin. Equally we aim to ensure that no such employee is disadvantaged by terms and conditions of employment which cannot be justified.  

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Aircall is a unicorn AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, faster resolutions, and scale. We’re redefining what a customer communications platform can be—by combining voice, SMS, WhatsApp, and AI into one seamless workspace. Our momentum comes from a simple but powerful idea: help every customer-facing team work smarter, not harder. Aircall’s AI Voice Agent automates routine calls, AI Assist streamlines post-call tasks, and AI Assist Pro delivers real-time guidance that helps people do their best work. The result—companies grow revenue, deliver faster resolutions, and scale service. We’ve built a product customers love and a business that scales fast. Aircall operates in nine global offices (Paris, New York, San Francisco, Sydney, Madrid, London, Berlin, Seattle, and Mexico City), and is backed by world-class investors. Our teams are shipping AI innovation faster than ever and expanding across new product lines and markets. At Aircall, you’ll join a company in motion—ambitious, profitable, and product-driven—where impact is visible, decisions are fast, and growth is real. How We Work at Aircall: At Aircall, we believe in customer obsession, continuous learning, and delivering extraordinary outcomes. We value open collaboration, taking ownership, and making smart, informed decisions with speed and precision. If you thrive in a fast-paced, team-driven environment where curiosity, trust, and impact matter, you'll fit right inAbout the Team Aircall’s Forward Deployed Engineering team connects our innovative AI Agents technology to real-world SMB workflows. We turn possibility into production — delivering automation that improves customer experience, boosts productivity, and unlocks new business value. Working cross-functionally with Product, Engineering, Sales, Solutions, and Customer Success, the team ensures every deployment delivers measurable impact. This is a dynamic, hands-on role at the intersection of technical consulting, project leadership, and AI adoption strategy. You don’t need to be a full-time software engineer, but you should be fluent in APIs, very confident managing technical projects, and eager to continuously learn, build, and scale new models that empower both customers and teammates. About the Role As a Forward-Deployed Engineer, you’ll own the end-to-end delivery of technically sound, low-code AI solutions for Aircall customers. You’ll design, implement, and operationalize workflows that connect the AI Agent with CRMs, help desks, and communication tools. You’ll also play a key role in driving team upskilling, building reusable frameworks, and leading cross-functional initiatives that improve how Aircall deploys AI at scale. This is a hands-on role where you’ll translate customer challenges into scalable technical solutions, working directly with Product and Engineering to refine Aircall’s platform and accelerate adoption. Please note, this is not a software engineering role. This is a hybrid, revenue driving role across Solutions Engineering, Software Engineering, Consulting, Professional Services, and Product Ownership What you'll do:Lead customer discovery and design sessions to map business processes, identify automation opportunities, and define solution architecture.Design, build, and deploy integrations using low/no-code platforms (Zapier, Make, n8n, Workato) and CRM automation tools (HubSpot Workflows, Salesforce Flow) with API connectors.Collaborate with Engineering to validate technical feasibility, resolve blockers, and share field learnings that inform product improvements.Configure and optimize the AI Agent — defining intents, prompts, actions, guardrails, and performance metrics.Manage complex, cross-functional deployments — defining timelines, aligning stakeholders, ensuring accountability, and delivering on time and within scope.Create scalable models and reusable frameworks (templates, playbooks, reference architectures) that make future projects faster and more consistent.Champion continuous learning and enablement — train peers, run internal workshops, and document best practices to raise the technical bar across the team.Run global, targeted outbound campaigns within the existing customer base to generate pipeline and accelerate adoption, working closely with the customer marketing team.Collaborate with GTM leadership to embed routines and cadences that drive accountability for new product pipeline, forecast accuracy, and performance tracking.Own regional top-line targets for assigned products (e.g., AI Voice Agent MRR generated per area) by collaborating with AEs and AMs who hold add-on quotas.Act as an internal product owner within the GTM function—defining product-specific MRR strategies, coordinating cross-functional support, and ensuring Aircall delivers the leading AI-enabled communication platform.Collaborate with Product and PMM to shape the AI Voice Agent roadmap based on customer needs, integration insights, and field learnings.Drive internal and external product education, including enablement for System Integrators (SIs) and channel partners.Maintain deep awareness of AI and CX industry trends, ensuring Aircall’s positioning remains competitive and insights continuously feed back into product and GTM strategies.What you'll bring:5–8 years in technical consulting, solutions engineering, or integration-focused project management.Strong command of APIs, webhooks, and data structures (JSON, REST, GraphQL) — able to design and troubleshoot integrations confidently. Even better if you have experience with MCP Servers.Hands-on experience with low-code orchestration tools (Zapier, Make, n8n, Workato) and CRM automation (HubSpot, Salesforce).Practical understanding of AI workflow configuration, including prompt engineering, evaluation, and monitoring.Proven ability to lead cross-functional projects, working with Engineering, Product, and Customer Success to deliver scalable outcomes.Excellent communication and stakeholder management skills, translating between technical and business audiences.A growth mindset — constantly learning new tools, frameworks, and ways to improve the customer experience and team capability. Nice-to-haves:Experience in telephony, voice, or contact center systems (SIP/WebRTC, call routing, containment, AHT).Familiarity with BI and analytics tools (Looker, BigQuery, Snowflake).Exposure to scripting (JavaScript/Python) for light customization and debugging.What Success Looks Like: Consistent delivery of high-quality, scalable AI Agent deployments with clear business outcomes.Shortened time-to-first-value and increased automation adoption across SMB customers.Reusable frameworks, models, and templates actively used by peers and partners.Strong collaboration with Engineering and Product to enhance platform capabilities.Demonstrated leadership in team enablement and upskilling, with measurable impact on technical excellence.Sustained improvements in customer metrics (containment, AHT, CSAT) and revenue impact (ARR, NRR) driven by your solutions 11,000 - 115,000 a yearThis base range is not including a quarterly bonus, equity, and other benefits. The maximum OTE for this role is 190K, including a 75K bonus. The actual salary offered will carefully consider a wide range of factors, including your skills, location, qualifications, and experience.Why This Role is Unique This is a role for builders, connectors, and enablers. You’ll be at the intersection of AI innovation, customer experience, and scalable delivery — combining technical curiosity with a consulting mindset. Every project you lead not only delivers value for customers but also strengthens Aircall’s internal capability to deploy AI faster and smarter. If you’re motivated by making cutting-edge technology accessible and impactful — while continuously learning and helping others do the same — this is the perfect next step in your career. Why join us? 🚀 Key moment to join Aircall in terms of growth and opportunities💆‍♀️ Our people matter, work-life balance is important at Aircall📚 Fast-learning environment, entrepreneurial and strong team spirit🌍 45+ Nationalities: cosmopolite & multi-cultural mindset💵 Competitive salary package & equity🏨 Medical, dental, and vision insurance is 100% covered📈 401k plan with company matching!✈️ Unlimited PTO — take the time you need to come to work feeling great!⭐️ Wellness, commuter, and childcare reimbursements💚 Generous parental leave policy DE&I Statement: At Aircall, we believe diversity, equity and inclusion – irrespective of origins, identity, background and orientations – are core to our journey.  We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We’re working to create a place filled with diverse people who can enrich and learn from one another. We’re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.   We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn. Want to know more about candidate privacy? Find our Candidate Privacy Notice here.

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Aircall is a unicorn AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, faster resolutions, and scale. We’re redefining what a customer communications platform can be—by combining voice, SMS, WhatsApp, and AI into one seamless workspace. Our momentum comes from a simple but powerful idea: help every customer-facing team work smarter, not harder. Aircall’s AI Voice Agent automates routine calls, AI Assist streamlines post-call tasks, and AI Assist Pro delivers real-time guidance that helps people do their best work. The result—companies grow revenue, deliver faster resolutions, and scale service. We’ve built a product customers love and a business that scales fast. Aircall operates in nine global offices (Paris, New York, San Francisco, Sydney, Madrid, London, Berlin, Seattle, and Mexico City), and is backed by world-class investors. Our teams are shipping AI innovation faster than ever and expanding across new product lines and markets. At Aircall, you’ll join a company in motion—ambitious, profitable, and product-driven—where impact is visible, decisions are fast, and growth is real. How We Work at Aircall: At Aircall, we believe in customer obsession, continuous learning, and delivering extraordinary outcomes. We value open collaboration, taking ownership, and making smart, informed decisions with speed and precision. If you thrive in a fast-paced, team-driven environment where curiosity, trust, and impact matter, you'll fit right in About the Team Aircall’s Forward Deployed Engineering team connects our innovative AI Agents technology to real-world SMB workflows. We turn possibility into production — delivering automation that improves customer experience, boosts productivity, and unlocks new business value. Working cross-functionally with Product, Engineering, Sales, Solutions, and Customer Success, the team ensures every deployment delivers measurable impact. This is a dynamic, hands-on role at the intersection of technical consulting, project leadership, and AI adoption strategy. You don’t need to be a full-time software engineer, but you should be fluent in APIs, very confident managing technical projects, and eager to continuously learn, build, and scale new models that empower both customers and teammates. As a Forward-Deployed Engineer, you’ll own the end-to-end delivery of technically sound, low-code AI solutions for Aircall customers. You’ll design, implement, and operationalize workflows that connect the AI Agent with CRMs, help desks, and communication tools. You’ll also play a key role in driving team upskilling, building reusable frameworks, and leading cross-functional initiatives that improve how Aircall deploys AI at scale. This is a hands-on role where you’ll translate customer challenges into scalable technical solutions, working directly with Product and Engineering to refine Aircall’s platform and accelerate adoption. Please note, this is not a software engineering role. This is a hybrid, revenue driving role across Solutions Engineering, Software Engineering, Consulting, Professional Services, and Product Ownership Key ResponsibilitiesLead customer discovery and design sessions to map business processes, identify automation opportunities, and define solution architecture.Design, build, and deploy integrations using low/no-code platforms (Zapier, Make, n8n, Workato) and CRM automation tools (HubSpot Workflows, Salesforce Flow) with API connectors.Collaborate with Engineering to validate technical feasibility, resolve blockers, and share field learnings that inform product improvements.Configure and optimize the AI Agent — defining intents, prompts, actions, guardrails, and performance metrics.Manage complex, cross-functional deployments — defining timelines, aligning stakeholders, ensuring accountability, and delivering on time and within scope.Create scalable models and reusable frameworks (templates, playbooks, reference architectures) that make future projects faster and more consistent.Champion continuous learning and enablement — train peers, run internal workshops, and document best practices to raise the technical bar across the team.Run global, targeted outbound campaigns within the existing customer base to generate pipeline and accelerate adoption, working closely with the customer marketing team.Collaborate with GTM leadership to embed routines and cadences that drive accountability for new product pipeline, forecast accuracy, and performance tracking.Own regional top-line targets for assigned products (e.g., AI Voice Agent MRR generated per area) by collaborating with AEs and AMs who hold add-on quotas.Act as an internal product owner within the GTM function—defining product-specific MRR strategies, coordinating cross-functional support, and ensuring Aircall delivers the leading AI-enabled communication platform.Collaborate with Product and PMM to shape the AI Voice Agent roadmap based on customer needs, integration insights, and field learnings.Drive internal and external product education, including enablement for System Integrators (SIs) and channel partners.Maintain deep awareness of AI and CX industry trends, ensuring Aircall’s positioning remains competitive and insights continuously feed back into product and GTM strategies.Qualifications5–8 years in technical consulting, solutions engineering, or integration-focused project management.Strong command of APIs, webhooks, and data structures (JSON, REST, GraphQL) — able to design and troubleshoot integrations confidently. Even better if you have experience with MCP Servers.Hands-on experience with low-code orchestration tools (Zapier, Make, n8n, Workato) and CRM automation (HubSpot, Salesforce).Practical understanding of AI workflow configuration, including prompt engineering, evaluation, and monitoring.Proven ability to lead cross-functional projects, working with Engineering, Product, and Customer Success to deliver scalable outcomes.Excellent communication and stakeholder management skills, translating between technical and business audiences.A growth mindset — constantly learning new tools, frameworks, and ways to improve the customer experience and team capability. Nice-to-haves:Experience in telephony, voice, or contact center systems (SIP/WebRTC, call routing, containment, AHT).Familiarity with BI and analytics tools (Looker, BigQuery, Snowflake).Exposure to scripting (JavaScript/Python) for light customization and debugging.What Success Looks Like: Consistent delivery of high-quality, scalable AI Agent deployments with clear business outcomes.Shortened time-to-first-value and increased automation adoption across SMB customers.Reusable frameworks, models, and templates actively used by peers and partners.Strong collaboration with Engineering and Product to enhance platform capabilities.Demonstrated leadership in team enablement and upskilling, with measurable impact on technical excellence.Sustained improvements in customer metrics (containment, AHT, CSAT) and revenue impact (ARR, NRR) driven by your solutionsWhy This Role is Unique This is a role for builders, connectors, and enablers. You’ll be at the intersection of AI innovation, customer experience, and scalable delivery — combining technical curiosity with a consulting mindset. Every project you lead not only delivers value for customers but also strengthens Aircall’s internal capability to deploy AI faster and smarter. If you’re motivated by making cutting-edge technology accessible and impactful — while continuously learning and helping others do the same — this is the perfect next step in your career. Why join us? 🚀 Key moment to join Aircall in terms of growth and opportunities💆‍♀️ Our people matter, work-life balance is important at Aircall📚 Fast-learning environment, entrepreneurial and strong team spirit🌍 45+ Nationalities: cosmopolite & multi-cultural mindset💶 Competitive salary package & benefits DE&I Statement: At Aircall, we believe diversity, equity and inclusion – irrespective of origins, identity, background and orientations – are core to our journey.  We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We’re working to create a place filled with diverse people who can enrich and learn from one another. We’re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.   We are strongly committed to hiring a diverse and multicultural team and we encourage applications from traditionally underrepresented backgrounds.

false

Aircall is a unicorn AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, faster resolutions, and scale. We’re redefining what a customer communications platform can be—by combining voice, SMS, WhatsApp, and AI into one seamless workspace. Our momentum comes from a simple but powerful idea: help every customer-facing team work smarter, not harder. Aircall’s AI Voice Agent automates routine calls, AI Assist streamlines post-call tasks, and AI Assist Pro delivers real-time guidance that helps people do their best work. The result—companies grow revenue, deliver faster resolutions, and scale service. We’ve built a product customers love and a business that scales fast. Aircall operates in nine global offices (Paris, New York, San Francisco, Sydney, Madrid, London, Berlin, Seattle, and Mexico City), and is backed by world-class investors. Our teams are shipping AI innovation faster than ever and expanding across new product lines and markets. At Aircall, you’ll join a company in motion—ambitious, profitable, and product-driven—where impact is visible, decisions are fast, and growth is real. How We Work at Aircall: At Aircall, we believe in customer obsession, continuous learning, and delivering extraordinary outcomes. We value open collaboration, taking ownership, and making smart, informed decisions with speed and precision. If you thrive in a fast-paced, team-driven environment where curiosity, trust, and impact matter, you'll fit right in About the Team Aircall’s Forward Deployed Engineering team connects our innovative AI Agents technology to real-world SMB workflows. We turn possibility into production — delivering automation that improves customer experience, boosts productivity, and unlocks new business value. Working cross-functionally with Product, Engineering, Sales, Solutions, and Customer Success, the team ensures every deployment delivers measurable impact. This is a dynamic, hands-on role at the intersection of technical consulting, project leadership, and AI adoption strategy. You don’t need to be a full-time software engineer, but you should be fluent in APIs, very confident managing technical projects, and eager to continuously learn, build, and scale new models that empower both customers and teammates. As a Forward-Deployed Engineer, you’ll own the end-to-end delivery of technically sound, low-code AI solutions for Aircall customers. You’ll design, implement, and operationalize workflows that connect the AI Agent with CRMs, help desks, and communication tools. You’ll also play a key role in driving team upskilling, building reusable frameworks, and leading cross-functional initiatives that improve how Aircall deploys AI at scale. This is a hands-on role where you’ll translate customer challenges into scalable technical solutions, working directly with Product and Engineering to refine Aircall’s platform and accelerate adoption. Please note, this is not a software engineering role. This is a hybrid, revenue driving role across Solutions Engineering, Software Engineering, Consulting, Professional Services, and Product Ownership Key ResponsibilitiesLead customer discovery and design sessions to map business processes, identify automation opportunities, and define solution architecture.Design, build, and deploy integrations using low/no-code platforms (Zapier, Make, n8n, Workato) and CRM automation tools (HubSpot Workflows, Salesforce Flow) with API connectors.Collaborate with Engineering to validate technical feasibility, resolve blockers, and share field learnings that inform product improvements.Configure and optimize the AI Agent — defining intents, prompts, actions, guardrails, and performance metrics.Manage complex, cross-functional deployments — defining timelines, aligning stakeholders, ensuring accountability, and delivering on time and within scope.Create scalable models and reusable frameworks (templates, playbooks, reference architectures) that make future projects faster and more consistent.Champion continuous learning and enablement — train peers, run internal workshops, and document best practices to raise the technical bar across the team.Run global, targeted outbound campaigns within the existing customer base to generate pipeline and accelerate adoption, working closely with the customer marketing team.Collaborate with GTM leadership to embed routines and cadences that drive accountability for new product pipeline, forecast accuracy, and performance tracking.Own regional top-line targets for assigned products (e.g., AI Voice Agent MRR generated per area) by collaborating with AEs and AMs who hold add-on quotas.Act as an internal product owner within the GTM function—defining product-specific MRR strategies, coordinating cross-functional support, and ensuring Aircall delivers the leading AI-enabled communication platform.Collaborate with Product and PMM to shape the AI Voice Agent roadmap based on customer needs, integration insights, and field learnings.Drive internal and external product education, including enablement for System Integrators (SIs) and channel partners.Maintain deep awareness of AI and CX industry trends, ensuring Aircall’s positioning remains competitive and insights continuously feed back into product and GTM strategies.Qualifications5–8 years in technical consulting, solutions engineering, or integration-focused project management.Strong command of APIs, webhooks, and data structures (JSON, REST, GraphQL) — able to design and troubleshoot integrations confidently. Even better if you have experience with MCP Servers.Hands-on experience with low-code orchestration tools (Zapier, Make, n8n, Workato) and CRM automation (HubSpot, Salesforce).Practical understanding of AI workflow configuration, including prompt engineering, evaluation, and monitoring.Proven ability to lead cross-functional projects, working with Engineering, Product, and Customer Success to deliver scalable outcomes.Excellent communication and stakeholder management skills, translating between technical and business audiences.A growth mindset — constantly learning new tools, frameworks, and ways to improve the customer experience and team capability. Nice-to-haves:Experience in telephony, voice, or contact center systems (SIP/WebRTC, call routing, containment, AHT).Familiarity with BI and analytics tools (Looker, BigQuery, Snowflake).Exposure to scripting (JavaScript/Python) for light customization and debugging.What Success Looks Like: Consistent delivery of high-quality, scalable AI Agent deployments with clear business outcomes.Shortened time-to-first-value and increased automation adoption across SMB customers.Reusable frameworks, models, and templates actively used by peers and partners.Strong collaboration with Engineering and Product to enhance platform capabilities.Demonstrated leadership in team enablement and upskilling, with measurable impact on technical excellence.Sustained improvements in customer metrics (containment, AHT, CSAT) and revenue impact (ARR, NRR) driven by your solutionsWhy This Role is Unique This is a role for builders, connectors, and enablers. You’ll be at the intersection of AI innovation, customer experience, and scalable delivery — combining technical curiosity with a consulting mindset. Every project you lead not only delivers value for customers but also strengthens Aircall’s internal capability to deploy AI faster and smarter. If you’re motivated by making cutting-edge technology accessible and impactful — while continuously learning and helping others do the same — this is the perfect next step in your career. Why join us? 🚀 Key moment to join Aircall in terms of growth and opportunities💆‍♀️ Our people matter, work-life balance is important at Aircall📚 Fast-learning environment, entrepreneurial and strong team spirit🌍 45+ Nationalities: cosmopolite & multi-cultural mindset💶 Competitive salary package & benefits DE&I Statement: At Aircall, we believe diversity, equity and inclusion – irrespective of origins, identity, background and orientations – are core to our journey.  We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We’re working to create a place filled with diverse people who can enrich and learn from one another. We’re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.   We are strongly committed to hiring a diverse and multicultural team and we encourage applications from traditionally underrepresented backgrounds.