Top Solutions Architect Jobs Openings in 2025

false

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!)

false

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!)

false

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.  

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 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.

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.

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.

false

Why join Heidi Health?🧘‍♂️ Additional paid day off for your birthday and wellness days🎓 A generous personal development budget of $500 per annum🧠 Learn from some of the best engineers and creatives, joining a diverse team🌏 The rare chance to create a global impact as you immerse yourself in one of Australia’s leading healthtech startups🚀 If you have an impact quickly, the opportunity to fast track your startup career!🩺 Help us reimagine primary care and change the face of healthcare in Australia and then around the world.About Your RoleWhat You’ll DoArchitect and build backend services that power LLM-based agents and clinical automations.Design robust APIs & data models that are secure, observable and easy for other teams to extend.Optimise performance and cost—profile hot paths, tune databases and right-size cloud resources.Automate quality: write unit / integration tests, craft alerts and own on-call runbooks so clinicians can trust every interaction.Partner with product, AI and front-end engineers to ship new capabilities from concept to production in weeks, not quarters.What We’re Looking ForMastery of software-engineering fundamentals; Python is our primary language, but you move fluently between technologies when the problem demands.Proven experience designing APIs (REST or GraphQL), and event-driven systems (Kafka, Pub/Sub or similar).Deep coding and architect mindset — Hands on experience in test driven development (TDD), AI coding, microservices, eventual consistency etc.Deep database expertise—schema design, query optimisation and scaling for both relational and NoSQL stores.Cloud fluency (GCP or AWS): containers, CI/CD, infrastructure-as-code, security and observability.Track record of shipping and operating distributed systems at scale with high reliabilityRigorous testing, code-review and documentation habits that elevate team standards.Hands-on work with AI/LLM services or real-time audio/streaming pipelines.What do we believe in?Heidi builds for the future of healthcare, not just the next quarter, and our goals are ambitious because the world’s health demands it. We believe in progress built through precision, pace, and ownership.Live Forever - Every release moves care forward: measured, safe, and built to last. Data guides us, but patients define the truth that matters.Practice Ownership - Decisions follow logic and proof, not hierarchy. Exceptional care demands exceptional standards in our work, our thinking, and our character.Small Cuts Heal Faster - Stability earns trust, speed delivers impact. Progress is about learning fast without breaking what people depend on.Make others better - Feedback is direct, kindness is constant, and excellence lifts everyone. Our success is measured by collective growth, not individual output.Our mission is clear: expand the world’s capacity to care, and do it without losing the humanity that makes care worth delivering.Who are Heidi?Heidi is building an AI Care Partner that supports clinicians every step of the way, from documentation to delivery of care.We exist to double healthcare’s capacity while keeping care deeply human. In 18 months, Heidi has returned more than 18 million hours to clinicians and supported over 73 million patient visits. Today, more than two million patient visits each week are powered by Heidi across 116 countries and over 110 languages.Founded by clinicians, Heidi brings together clinicians, engineers, designers, scientists, creatives, and mathematicians, working with a shared purpose: to strengthen the human connection at the heart of healthcare.Backed by nearly $100 million in total funding, Heidi is expanding across ANZ, the USA, UK, Canada, and Europe, partnering with major health systemsWe move quickly where it matters and stay grounded in what’s proven, shaping healthcare’s next era. Ready for the challenge?

false

About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence. We’re a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works.Note: The nature of this role requires candidates to be based in the Buenos Aires area, though there isn't an in-office requirement. The Opportunity We’re looking for an Application Engineer who thrives on solving hard problems with code. In this role, you'll have the opportunity to work at the cutting edge of generative AI in a high-impact role with autonomy and ownership. What You’ll Do Debug and fix issues in our platform (and ship PRs with your fixes). Build internal tools and copilots powered by generative AI to supercharge our team. Rapidly prototype proof-of-concepts for customer use cases. Work across Engineering, Product, and Solutions to unblock customers and push the boundaries of AI adoption. What We’re Looking For You have 2-5 years of experience in software. Strong in Python and Golang; comfortable shipping fixes in production systems. Hands-on with generative AI (LLM APIs, frameworks, building copilots or automations) Hands-on with OpenTelimetry and deep familiarity with distributed tracing concepts. Familiarity with AI frameworks (CrewAI, Langchain, Langgraph, DiFy, LiteLLM, etc). Familiarity or eagerness to learn JavaScript/TypeScript. Great debugger, creative problem solver, and fast learner. Independent and resourceful. You create solutions, not dependencies. Bonus Points (but not required!) Experience in a customer-facing role Built copilots, plugins, or custom GenAI-powered applications. Open-sourced or contributed PRs to real codebases. Startup or fast-moving environment experience. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes unlimited paid time off, generous parental leave plan, and others for mental and wellness support.More About Arize Arize’s mission is to make the world’s AI work—and work for people. Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge—understanding whether AI is performing and how to improve it at scale. Learn more about what we're doing here: https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/ https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/ Diversity & Inclusion @ Arize Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI Culturally conscious events such as LGBTQ trivia during pride month We have an active Lady Arizers subgroup

false

About The Role:We are hiring our first Partner Solutions Architect to help define how partners and enterprises adopt agentic AI using LangChain, LangGraph, and LangSmith.This is a hands on technical role working closely with cloud providers, system integrators, and technology partners to build integrations, reference architectures, and production ready demos. You will work at the intersection of engineering, product, partnerships, and GTM, translating partner and customer needs into scalable technical solutions.What You’ll Do:Partner with cloud providers, system integrators, and ISVs to design and build agentic AI solutions.Create production ready solutions, sample repositories, and reference architectures using LangChain, LangGraph, and LangSmith.Collaborate closely with product and engineering teams to support partner integrations and solution design.Enable partners through technical workshops, solution walkthroughs, and hands on collaboration.Gather partner and customer feedback and translate it into actionable insights for product and integration roadmaps.How to Be Successful in the Role:5 or more years in technical, customer or partner facing roles such as Solutions Architect, Sales Engineer, Forward Deployed Engineer, DevRel, or Applied AI Engineer.Strong Python skills and experience building and deploying solutions on cloud platforms, with AWS preferred.Experience working with LLMs, RAG, agents, orchestration frameworks, or ML infrastructure.Ability to collaborate effectively with external partners on complex technical projects.Strong communication skills and comfort explaining technical concepts to both technical and non technical audiences.Start up DNA - the ability to thrive in a fast paced, scaling environment.Experience taking generative AI or agent based systems from prototype to production, preferred.Hands on experience with LangChain, LangGraph, LangSmith, or similar agent frameworks, would be a big bonus.Background in cloud native architectures including serverless, containerized, or VPC based deployments, preferred.Prior open source contributions or technical content creation, would be a bonus. Compensation and Benefits:We offer competitive compensation including base salary, equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Compensation varies based on role, level, and location.Annual salary range: $170,000 to $200,000 USD

false

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 positionIn this role as a Solutions Architect at Cohere, you will play a significant role in growing Cohere’s business and have a great deal of autonomy when it comes to technical pre-sales and post-sales.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.ResponsibilitiesDevelop 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.Qualifications5+ 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.PreferredBackground in building and managing scalable AI/ML ecosystems, with knowledge of multi-cloud deployment strategies.Familiarity with security standards for deploying agent-based AI solutions, including data privacy, model safety, and access controls.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!)

false

Notable is the leading healthcare AI platform for transforming workforce productivity. Health systems, hospitals, and payers use Notable to improve healthcare quality, close gaps in patient care, drive member enrollment, and patient acquisition, retention, and reimbursement, scaling growth without hiring more staff.We are on a mission to improve the lives of patients, staff, and clinicians - to improve healthcare for humanity. This isn't just a lofty goal - it's something we're achieving every single day. When you join Notable, you become part of a force actively transforming healthcare. Our aim to impact 100 million patients isn't just a number; it's a commitment to creating meaningful change on a massive scale.Therefore, our culture is purposeful in pursuit of this mission. We believe our culture gives each person the opportunity to do the best work of their lives, work with the best teammates, and have fun achieving great things together.Role Summary:As a Forward Deployed Engineer, you will partner directly with customers to understand their biggest challenges and rapidly design, implement, and integrate technical solutions that drive real impact. This role blends problem-solving, creativity, and hands-on engineering as you help deploy products and workflows in live environments. You’ll gain unique exposure to critical industries and institutions across the country and play a key role in shaping how they operate and innovate.Our ideal candidate is technically curious, an excellent communicator, and deeply committed to customer success. They thrive in collaborative environments​ working seamlessly with both technical and non-technical partners​ and are comfortable operating in a fast-moving setting with evolving goals and continuous user feedback.What you'll doTechnical Solution Design & Architecture: Leverage engineering expertise to design scalable AI workflows for clinical and operational use cases. You will produce professional-grade systems and data-flow diagrams to define interfaces, failure modes, and integration points with EHRs and legacy systems.Build & Deploy AI Agents: You will get hands-on to configure and deploy Large Language Model (LLM) powered workflows. This involves applying advanced prompting strategies, building agentic workflows, and tuning vector stores for quality, latency, and cost.Security & Compliance Assurance: Perform technical validation of AI algorithm outputs and ensure strict adherence to HIPAA/SOC 2 controls. You will establish guardrails (audit trails, least-privilege access) to ensure safe clinical deployment.Execute & Operationalize: Independently manage technical implementation plans, defining scope and setting expectations with customers. You will drive "scrappy-but-safe" prototypes into production and facilitate the transition to steady-state ownership alongside Customer Success teams.Stakeholder Engagement: Serve as the technical voice in customer meetings, translating complex platform capabilities into clear value propositions for executives and non-technical stakeholders.Drive Product Improvement: Provide input to internal cross-functional teams on platform gaps, identifying which capabilities are harder to deploy and helping to widen the competitive advantage.You're a great fit ifYou Thrive on Technical Challenges: You are a builder who enjoys pushing the boundaries of AI innovation and are comfortable digging deep into areas you are unfamiliar with to make it happen.You Obsess Over Outcomes: You demonstrate strong product intuition, understanding that the goal is not just software delivery, but tangible ROI and improved outcomes for patients and providers.You Bridge the Gap: You enjoy operating at the intersection of technical execution and strategic vision, inspiring innovation in the partners and leaders you build with.You have an Entrepreneurial Mindset: You look at yourself as an owner who likes to build and solve challenges others have yet to master, thriving in an autonomous, high-performance environment. What we're looking for5+ years of experience in Forward Deployed, Solutions, or Implementation Engineering roles with significant client-facing responsibility.Proficiency in TypeScript/Node.js for backend development and scripting. Experience with APIs (REST, gRPC), event-driven architectures, and cloud infrastructure (AWS/GCP/Azure).Practical experience building with LLMs, including prompting, RAG, vector databases, and evaluation frameworks.Familiarity with healthcare data standards (HL7, FHIR, C-CDA) and workflows (Revenue Cycle, Access) is preferred.Ability to communicate technical concepts to a variety of audiences, from technical/IT teams to operational executives.This role offers a blend of in-office collaboration and travel. You’ll spend about 50% of your time meeting with customers and teams on-site, and we ask that you join us in the office three days a week to stay connected and work closely with your teammates.#LI-TD1We value in-person collaboration and connection. For Bay Area–based employees, this role requires being in our San Mateo office at least three days a week. For remote employees, occasional travel to headquarters is expected for company-wide events and onsite gatherings.Beware of job scam fraudsters! Our recruiters use @notablehealth.com email addresses exclusively. We do not conduct interviews via text or instant message, to purchase equipment through us, or to provide sensitive personally identifiable information such as bank account or social security numbers. If you have been contacted by someone claiming to be me from a different domain about a job offer, please report it as potential job fraud to law enforcement and contact us here.

false

About ElevenLabsElevenLabs is a research and product company defining the frontier of audio AI. Millions of people use our technology to read articles, voice over videos, and restore voices lost to disability. Leading developers and enterprises worldwide use ElevenLabs to build intelligent agents for support, sales, and education.We launched in January 2023 with the first AI model to cross the threshold of human-like speech. In January 2025, we raised a $180 million Series C round, valuing the company at $3.3 billion. By September 2025, that valuation doubled to $6.6 billion as we surpassed $200 million ARR in under three years.Our mission is to build the most important audio AI platform in the world, solve AI audio intelligence, and make information accessible in any voice, language, or sound.Our core offerings are our Creative Platform and the Agents Platform, powered by proprietary Text to Speech, Speech to Text, and conversational AI models.We are just getting started. If you want to work hard and create lasting impact, we would like to hear from you.How we workHigh-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.Excellence everywhere: Everything we do should match the quality of our AI models.Global team: We prioritize your talent, not your location.What we offerInnovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.About the roleAs a Forward Deployed Engineer Strategist, you'll work as part of a driven and creative team of Engineers, Product Designers, and other Strategists to deploy our voice AI technology against the most challenging problems our customers face. Your mission is to synthesize disconnected streams of thought into a cohesive understanding of what the most important problem is, what the data means, what the product needs, what users are motivated by, and where the impact could be.No two days are the same, but as a FDE Strategist you can expect to:Meet with strategic customers to understand their critical audio and voice AI needs and locate their biggest pain points.Identify relevant use cases through deep engagement with customer problems and workflows, and work with Engineers to implement our voice and audio AI technology into innovative solutions.Design and architect bespoke integrations for customers, ensuring our technology fits seamlessly into their products and operations.Guide customers on best practices for implementing our voice and audio AI models to maximize their effectiveness.Present the results of our work and proposals for future work to audiences ranging from technical teams to C-suite executives.Collaborate with our Research and Product teams to incorporate field insights into ElevenLabs' software products and AI models.Build and deliver compelling demos of our voice and audio AI technology to new and existing customers.Scope out potential applications in new industries and expand our AI solutions across different sectors globally.Take full ownership of end-to-end execution of major projects for our most strategic partners, working hands-on to deliver high-impact solutions.Collaborate daily with our customers' engineering and executive teams to ensure optimal implementation of ElevenLabs' technologies.RequirementsExperience working with customers in a technical capacity. It's ok if you only worked with customers in student clubs or side projects, as long as you are interested in working closely with them.Basic proficiency in Python and understanding of API integration to implement scripts and help with prototyping/demo building.Excellent communication and problem-solving skills, especially in terms of ability to summarize complex technical concepts and using logic in pursuing optimal solutions.A proven track record of taking ownership of complex projects and delivering results.Adaptability to work across different customer environments and technical use cases.Technical aptitude to quickly understand our voice and audio AI models and their applications.#LI-remote

false

Join our team as a Forward Deployed Engineer and thrive at the intersection of advanced AI engineering and real-world enterprise problem-solving. Your skills will translate complex multimodal agentic AI, LLMs, and machine-learning architectures into clear, compelling business value. In this role, you will enjoy working directly with customers to design AI systems that see, hear, read, reason, decide, and act. Join us at an exciting moment, wear many hats, and help us build something from the ground up!This role is based in Singapore and covers customers and partners across Asia Pacific.As a Forward Deployed Engineer, you will:Technical Presales & AI Solution Architecture:Lead technical discovery with customers to understand their business challenges, data environment, infrastructure landscape, and operational workflows.Architect end-to-end multimodal agentic AI solutions involving:LLMs, Vision models, Speech modelsRAG pipelinesRealtime perception–decision–action loopsAgent frameworks, planning, tool-use, and orchestrationIntegration with enterprise APIs, databases, security systems, VMS, IoT, MDM, or existing appsConduct PoCs, benchmarks, and A/B evaluations, producing clear documentation on metrics, model performance, constraints, and ROI.ML/GenAI Engineering, Model Customization & Fine-Tuning:Work closely with customer data teams to gather, clean, and preprocess multimodal datasets (text, images, audio, video, sensor data).Build and optimize:Custom LLM prompts & prompt-chainsFine-tuned LLM/vision modelsDomain-specific embedding modelsCustom scorers, loss functions, and evaluation metricsAdvise customers on LLMOps best practices, including lifecycle management, scalable APIs, agent reliability, function-calling strategies, and safety guardrails.Agentic AI & Multimodal Capabilities Evangelism:Demonstrate how Reka’s multimodal models can:Interpret CCTV, documents, screens, emails, speech, logsCombine perception with reasoning + actionIntegrate with enterprise tools to perform tasks autonomouslyHelp customers understand advanced concepts such as:Tool-use and planningMulti-agent workflowsKnowledge grounding and retrievalChain-of-thought vs distilled reasoningObservability and telemetry for AI agentsCustomer Enablement, Workshops & Technical Training:Design and run workshops for audiences ranging from business leaders to data scientists.Train customers on:AI fundamentalsMultimodal modelsDeployment patterns (on-prem, cloud, hybrid, air-gapped)Reka platform usage, APIs, SDKs, and agent creationProduce sample notebooks, reference architectures, code snippets, reusable templates, and best-practice guidelines.Internal Collaboration & Product Feedback:Work with product, engineering, and research teams to influence the roadmap based on customer needs.Contribute internal prototypes, demos, agent frameworks, or tools that improve presales velocity.Assist in competitive analysis (vs OpenAI, Anthropic, Gemini, AWS, Mistral, local APAC AI vendors).You may be a good fit, if you have:Technical Expertise3–6+ years hands-on experience in AI/ML engineering, presales, solution architecture, or applied ML roles.Strong proficiency in:PythonML frameworks (PyTorch/TensorFlow/JAX)LLM frameworks (LangChain, LlamaIndex, DSPy, OpenAI/Anthropic/Mistral APIs)Model serving (FastAPI, Triton, Ray, vLLM, Ollama, MLFlow)Solid grounding in:Machine learning fundamentalsVision models (object detection, action recognition, OCR, VLMs)Speech-to-text/voice modelsMultimodal fusion techniquesDistributed training & inference optimizationDeployment / Architecture KnowledgeFamiliar with enterprise infrastructure:Kubernetes, Docker, API gatewaysData lake / warehouse technologiesCloud platforms (Azure, GCP, AWS)On-prem GPU servers (NVIDIA, HPE, Supermicro, Dell)Understanding of ML security, compliance & governance:RBAC, audit logs, data residencyPre/Post-production model monitoringDrift detection, bias, safety guardrailsPrivacy-preserving ML, PII redaction, access controlAI Engineering & Agentic Workflow UnderstandingExperience with:RAG pipelines (vector DBs, embedding tuning, hybrid search)Multi-agent systems or agent tool-useFunction calling, workflow orchestrationLLMOps / ModelOps best practicesKnowledge of GenAI fine-tuning techniques:SFT, LoRA, QLoRA, DPOVision model tuningDataset curation & augmentationSoft Skills & Business CommunicationExceptional communication, storytelling, and presentation skills.Ability to simplify complex technical concepts for business stakeholders.Strong consultative problem-solving mindset and customer empathy.Comfortable leading executive presentations, technical workshops, and live demos.Strong cross-functional communication and problem-solving skills.The ability to build in a fast-paced environment under some uncertainty.A kind and collaborative nature and work style.Reka's MissionReka's mission is to build useful multimodal artificial intelligence and use it to empower organizations and businesses. We are a globally distributed foundation model startup, headquartered in the San Francisco Bay Area, California. Embracing a remote-first approach, our team brings together top talent from around the world. Our founding team, along with many of our team members, has contributed to many of the breakthroughs in AI over the past decade. Why Reka?An Elite Team: Collaborate with top-tier engineers, researchers, operators from renowned organizations like Google DeepMind and Facebook AI Research (FAIR) and successful startups, driving innovation in cutting-edge AI technology.Massive Market Opportunity: Be part of a rapidly growing industry poised to transform multiple sectors globally, offering the chance to make a significant impact.Mission-Driven Environment: Work alongside a collaborative, mission-focused team dedicated to advancing AI for meaningful applications.Inclusive and Open Culture: Thrive in an open and inclusive work environment that values diverse perspectives and fosters creativity.Generous Benefits: Enjoy 5 weeks of paid leave to recharge, comprehensive healthcare benefits including vision and dental, and additional perks that support your well-being.

false

FEQ127R16 DatabricksはデータとAIの企業であり、全世界で10,000以上の組織が、Comcast、Condé Nast、Grammarly、Fortune 500の50%以上を含む、Databricks Data Intelligence Platformを利用してデータ、分析、AIを統合し民主化しています。Databricksはサンフランシスコに本社を置き、世界中にオフィスを展開しており、Lakehouse、Apache Spark™、Delta Lake、MLflowのオリジナルクリエイターによって設立されました。詳細については、X、LinkedIn、FacebookでDatabricksをフォローしてください。 仕事の内容 プリセールスソリューションアーキテクト（分析、AI、ビッグデータ、パブリッククラウド）として、あなたは営業プロセス全体にわたってハンズオン環境で技術評価フェーズを指導します。あなたは営業チームの技術アドバイザーとなり、現場で顧客要件を実現するために製品チームと連携します。Databricks データインテリジェンスプラットフォームを使用して顧客が具体的なデータ駆動の成果を達成する手助けをし、データチームがプロジェクトを完了し、当社のプラットフォームを企業エコシステムに統合できるよう支援します。ビッグデータ、分析、データエンジニアリング、データサイエンスの問題に対する顧客の最大の課題に対する解決策を見つけながら、あなたは営業チームと一緒にお客様に解決策を提案します。あなたはフィールドエンジニアリングのマネージャーに報告します。 あなたがもたらす影響： あなたはアーキテクチャと設計の側面におけるビッグデータ分析の専門家となります。 見込み客をDatabricksの評価と採用へ導きます。 リファレンスアーキテクチャ、ハイレベルの導入・移行プラン、およびデモアプリケーションを作成することで顧客を支援します。 顧客アーキテクチャをサポートするためにDatabricksとサードパーティアプリケーションを統合します。 ワークショップ、セミナー、およびミートアップを主導することで技術コミュニティと関わります。 営業と共に、担当するセグメントのクライアントとの成功した関係を築き、技術的およびビジネス価値を提供します。 顧客のユースケースのディスカバリー 既存顧客のDatabricks環境の最適化 Databricks製品改善のための活動 必要な条件/経験: 様々な業界・産業で外部クライアントと関わるプリセールスまたはポストセールスの経験 技術概念を示す経験、プレゼンテーションやホワイトボードを使用した経験 パブリッククラウド（AWS、Azure、GCP）内でのアーキテクチャ設計と実装の経験 エンタープライズアカウントとの業務経験  日本語での流暢なコミュニケーション、および英語でのビジネス上の読み書きができること データ領域、もしくは、機械学習・AI領域の基本的な技術理解。および、SQLのコーディングスキル。 望ましい経験/スキル: データエンジニアリングまたはデータサイエンスのいずれかにおいてコアな強みを持つ顧客向けプリセールスまたはコンサルティングの役割に対する理解があることが望ましい Apache Spark™、AI、データサイエンス、データエンジニアリング、Hadoop、Cassandraなどのビッグデータ技術に関する経験 Python, Scala, Java、もしくはRを使用したApache Sparkの流暢なコーディング経験 データ領域、もしくは、機械学習・AI領域での開発経験。特に、Python(Pandas, NumPy等)のコーディング経験  About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.  Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

false

FEQ127R16 DatabricksはデータとAIの企業であり、全世界で10,000以上の組織が、Comcast、Condé Nast、Grammarly、Fortune 500の50%以上を含む、Databricks Data Intelligence Platformを利用してデータ、分析、AIを統合し民主化しています。Databricksはサンフランシスコに本社を置き、世界中にオフィスを展開しており、Lakehouse、Apache Spark™、Delta Lake、MLflowのオリジナルクリエイターによって設立されました。詳細については、X、LinkedIn、FacebookでDatabricksをフォローしてください。 仕事の内容 プリセールスソリューションアーキテクト（分析、AI、ビッグデータ、パブリッククラウド）として、あなたは営業プロセス全体にわたってハンズオン環境で技術評価フェーズを指導します。あなたは営業チームの技術アドバイザーとなり、現場で顧客要件を実現するために製品チームと連携します。Databricks データインテリジェンスプラットフォームを使用して顧客が具体的なデータ駆動の成果を達成する手助けをし、データチームがプロジェクトを完了し、当社のプラットフォームを企業エコシステムに統合できるよう支援します。ビッグデータ、分析、データエンジニアリング、データサイエンスの問題に対する顧客の最大の課題に対する解決策を見つけながら、あなたは営業チームと一緒にお客様に解決策を提案します。あなたはフィールドエンジニアリングのマネージャーに報告します。 あなたがもたらす影響： あなたはアーキテクチャと設計の側面におけるビッグデータ分析の専門家となります。 見込み客をDatabricksの評価と採用へ導きます。 リファレンスアーキテクチャ、ハイレベルの導入・移行プラン、およびデモアプリケーションを作成することで顧客を支援します。 顧客アーキテクチャをサポートするためにDatabricksとサードパーティアプリケーションを統合します。 ワークショップ、セミナー、およびミートアップを主導することで技術コミュニティと関わります。 営業と共に、担当するセグメントのクライアントとの成功した関係を築き、技術的およびビジネス価値を提供します。 顧客のユースケースのディスカバリー 既存顧客のDatabricks環境の最適化 Databricks製品改善のための活動 必要な条件/経験: 様々な業界・産業で外部クライアントと関わるプリセールスまたはポストセールスの経験 技術概念を示す経験、プレゼンテーションやホワイトボードを使用した経験 パブリッククラウド（AWS、Azure、GCP）内でのアーキテクチャ設計と実装の経験 エンタープライズアカウントとの業務経験  日本語での流暢なコミュニケーション、および英語でのビジネス上の読み書きができること データ領域、もしくは、機械学習・AI領域の基本的な技術理解。および、SQLのコーディングスキル。 望ましい経験/スキル: データエンジニアリングまたはデータサイエンスのいずれかにおいてコアな強みを持つ顧客向けプリセールスまたはコンサルティングの役割に対する理解があることが望ましい Apache Spark™、AI、データサイエンス、データエンジニアリング、Hadoop、Cassandraなどのビッグデータ技術に関する経験 Python, Scala, Java、もしくはRを使用したApache Sparkの流暢なコーディング経験 データ領域、もしくは、機械学習・AI領域での開発経験。特に、Python(Pandas, NumPy等)のコーディング経験  About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.  Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

false

FEQ127R16 DatabricksはデータとAIの企業であり、全世界で10,000以上の組織が、Comcast、Condé Nast、Grammarly、Fortune 500の50%以上を含む、Databricks Data Intelligence Platformを利用してデータ、分析、AIを統合し民主化しています。Databricksはサンフランシスコに本社を置き、世界中にオフィスを展開しており、Lakehouse、Apache Spark™、Delta Lake、MLflowのオリジナルクリエイターによって設立されました。詳細については、X、LinkedIn、FacebookでDatabricksをフォローしてください。 仕事の内容 プリセールスソリューションアーキテクト（分析、AI、ビッグデータ、パブリッククラウド）として、あなたは営業プロセス全体にわたってハンズオン環境で技術評価フェーズを指導します。あなたは営業チームの技術アドバイザーとなり、現場で顧客要件を実現するために製品チームと連携します。Databricks データインテリジェンスプラットフォームを使用して顧客が具体的なデータ駆動の成果を達成する手助けをし、データチームがプロジェクトを完了し、当社のプラットフォームを企業エコシステムに統合できるよう支援します。ビッグデータ、分析、データエンジニアリング、データサイエンスの問題に対する顧客の最大の課題に対する解決策を見つけながら、あなたは営業チームと一緒にお客様に解決策を提案します。あなたはフィールドエンジニアリングのマネージャーに報告します。 あなたがもたらす影響： あなたはアーキテクチャと設計の側面におけるビッグデータ分析の専門家となります。 見込み客をDatabricksの評価と採用へ導きます。 リファレンスアーキテクチャ、ハイレベルの導入・移行プラン、およびデモアプリケーションを作成することで顧客を支援します。 顧客アーキテクチャをサポートするためにDatabricksとサードパーティアプリケーションを統合します。 ワークショップ、セミナー、およびミートアップを主導することで技術コミュニティと関わります。 営業と共に、担当するセグメントのクライアントとの成功した関係を築き、技術的およびビジネス価値を提供します。 顧客のユースケースのディスカバリー 既存顧客のDatabricks環境の最適化 Databricks製品改善のための活動 必要な条件/経験: 様々な業界・産業で外部クライアントと関わるプリセールスまたはポストセールスの経験 技術概念を示す経験、プレゼンテーションやホワイトボードを使用した経験 パブリッククラウド（AWS、Azure、GCP）内でのアーキテクチャ設計と実装の経験 エンタープライズアカウントとの業務経験  日本語での流暢なコミュニケーション、および英語でのビジネス上の読み書きができること データ領域、もしくは、機械学習・AI領域の基本的な技術理解。および、SQLのコーディングスキル。 望ましい経験/スキル: データエンジニアリングまたはデータサイエンスのいずれかにおいてコアな強みを持つ顧客向けプリセールスまたはコンサルティングの役割に対する理解があることが望ましい Apache Spark™、AI、データサイエンス、データエンジニアリング、Hadoop、Cassandraなどのビッグデータ技術に関する経験 Python, Scala, Java、もしくはRを使用したApache Sparkの流暢なコーディング経験 データ領域、もしくは、機械学習・AI領域での開発経験。特に、Python(Pandas, NumPy等)のコーディング経験  About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.  Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

true

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company.About the Role: Glean is seeking a talented AI Outcomes Manager to join our rapidly expanding team. The AI Outcomes Manager will play a crucial role in transforming how every department works, with the power of Glean. They will work closely with executives and end users, combining business acumen, product sense, and prompting skills to help them transform into an AI-native enterprise. You will: Engage with executive sponsors and provide strategic reviews and consult customers on developing and executing on their AI roadmap Deeply comprehend Glean's suite of products, ensuring the ability to best help customers get the most out of the Glean platform Conduct use case discovery workshops and turn those use cases into tangible outcomes  Collaborate internally with Product and R&D to help shape Glean’s product roadmap based on the voice of our users  Proactively identify opportunities to expand Glean’s deployment and enhance customer engagement About you: 2+ years of professional experience  Hungry, curious, and consultative mindset Strong problem-solving skills with the ability to adapt to different users and scenarios Proven understanding and ability to write complex prompts  Ability to understand various user types and convey a sense of the most valuable applications of AI in diverse job functions Excellent communication skills to effectively interact with multiple stakeholder groups Product sense and ability to drive a product’s full potential capabilities Good to have: Customer presence: ability to work with any level from individual contributors to CEOs Prior experience in consultative roles, solutions engineering, support, or product management Location: London, United Kingdom This role is remote #LI-Remote

false

Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 700+ customers in 58+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewThe Solutions Architect at Harvey.ai is a critical role that bridges the gap between our product team and client-facing teams. You will be responsible for explaining the technical aspects of Harvey, addressing security and architecture questions, configuring customer accounts, and ensuring seamless integration with our platform. Your expertise will be instrumental in driving upsell opportunities for additional SKUs and our API offerings.What You'll DoCollaborate closely with the Go To Market and Customer Success teams to articulate Harvey's architecture, security standards, API capabilities, and AI features to prospective and existing clients during the sales cycleArticulate Harvey's proprietary AI technology at a deep technical level to enterprise stakeholders, including our model development approach, benchmarking methodologies, and technical processes, while positioning Harvey's capabilities within the broader AI landscapeCommunicate Harvey's enterprise-grade security standards, compliance frameworks, and custom security configurations to audiences ranging from C-suite executives to technical security teams, tailoring the depth and framing appropriatelyLead API discovery and scoping conversations with prospects and customers to understand their integration requirements, use cases, and technical constraints, providing technical direction and support to their engineering teams without writing code directlyAssist in resolving bespoke or complex authentication requirements, including advanced SSO configurations, SCIM provisioning, and custom identity provider integrationsEnsure successful configuration and connection of third-party integrations to Harvey, including iManage, SharePoint, and other document management systemsCollaborate with the product team to provide feedback and insights based on customer interactions, helping to inform future product developmentWhat You Have3-5 years of experience in a Solutions Architecture, Solutions Engineering, or Technical Sales role, ideally working with enterprise customersStrong understanding of RESTful APIs, including authentication methods (OAuth, API keys), common integration patterns, and comfort discussing technical implementation details with customer engineering teamsTechnical acumen with the ability to explain concepts like LLM behavior, security architecture, and API integrations to both technical and non-technical audiencesExperience navigating enterprise buying cycles and aligning with multiple stakeholders across legal, IT, and executive teamsExcellent communication skills with a talent for translating between customer needs and internal teams, including Product and EngineeringDemonstrated ability to work through ambiguity, prioritize effectively, and champion customer outcomes in fast-changing environmentsA collaborative, low-ego approach—you enjoy working across functions, engaging with customers, and unblocking teammatesCuriosity about generative AI and excitement to learn about emerging technologies and how they apply in highly regulated industriesBonus PointsExperience with LLM frameworks, legal tech, or working in high-trust, high-compliance environmentsExperience with Azure cloud services, enterprise authentication protocols (SAML, OAuth, SCIM), and networking concepts (firewalls, proxies, VPNs)Familiarity with enterprise document management systems like iManage, SharePoint, NetDocuments, or similar platformsPrior experience at a high-growth startupBackground in software engineering, technical consulting, or professional servicesCompensation $145,000 to $195,000 OTE 80/20 Split#LI-RB1Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

true

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company.About the Role: Glean is seeking a talented AI Outcomes Manager to join our rapidly expanding team. The AI Outcomes Manager will play a crucial role in transforming how every department works, with the power of Glean. They will work closely with executives and end users, combining business acumen, product sense, and prompting skills to help them transform into an AI-native enterprise. You will: Engage with executive sponsors and provide strategic reviews and consult customers on developing and executing on their AI roadmap Deeply comprehend Glean's suite of products, ensuring the ability to best help customers get the most out of the Glean platform Conduct use case discovery workshops and turn those use cases into tangible outcomes  Collaborate internally with Product and R&D to help shape Glean’s product roadmap based on the voice of our users  Proactively identify opportunities to expand Glean’s deployment and enhance customer engagement About you: 2+ years of professional experience  Hungry, curious, and consultative mindset Strong problem-solving skills with the ability to adapt to different users and scenarios Proven understanding and ability to write complex prompts  Ability to understand various user types and convey a sense of the most valuable applications of AI in diverse job functions Excellent communication skills to effectively interact with multiple stakeholder groups Product sense and ability to drive a product’s full potential capabilities Good to have: Customer presence: ability to work with any level from individual contributors to CEOs Prior experience in consultative roles, solutions engineering, support, or product management Location: London, United Kingdom This role is remote #LI-Remote

true

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company.About the Role: Glean is seeking a talented AI Outcomes Manager to join our rapidly expanding team. The AI Outcomes Manager will play a crucial role in transforming how every department works, with the power of Glean. They will work closely with executives and end users, combining business acumen, product sense, and prompting skills to help them transform into an AI-native enterprise. You will: Engage with executive sponsors and provide strategic reviews and consult customers on developing and executing on their AI roadmap Deeply comprehend Glean's suite of products, ensuring the ability to best help customers get the most out of the Glean platform Conduct use case discovery workshops and turn those use cases into tangible outcomes  Collaborate internally with Product and R&D to help shape Glean’s product roadmap based on the voice of our users  Proactively identify opportunities to expand Glean’s deployment and enhance customer engagement About you: 2+ years of professional experience  Hungry, curious, and consultative mindset Strong problem-solving skills with the ability to adapt to different users and scenarios Proven understanding and ability to write complex prompts  Ability to understand various user types and convey a sense of the most valuable applications of AI in diverse job functions Excellent communication skills to effectively interact with multiple stakeholder groups Product sense and ability to drive a product’s full potential capabilities Good to have: Customer presence: ability to work with any level from individual contributors to CEOs Prior experience in consultative roles, solutions engineering, support, or product management Location: London, United Kingdom This role is remote #LI-Remote