AI Software Engineer Jobs

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About the teamOpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We embed deeply with users to solve high-leverage problems. We move quickly from prototype to deployment and surface patterns that shape the platform. We operate at the intersection of customer delivery and core development. We work closely with Product, Research, and Go-To-Market (GTM).About the RoleWe are looking for customer-focused software engineers to build effective custom software that leverages OpenAI’s APIs to solve real customer problems. As an FDSWE, you will work with our customers and OpenAI Forward Deployed Engineers to design and implement scalable solutions that solve their most difficult problems. You will design abstractions to solve customer problems, and then use them to scale our speed and quality of delivery across all Forward Deployed engagements. You will collaborate closely with Sales, Solutions Engineering, Solutions Architects, and Customer Success Managers who work on the same account. You will also work with our Research and Applied Product and Engineering teams to provide insightful customer feedback. This role is based in Paris. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.In this role, you will:Embed deeply with strategic customers to understand their business challenges and technical requirements in detail.Design, architect, and develop full-stack solutions using an experiment-driven, iterative approach.Prepare detailed scopes of work and project plans for both proof-of-concept prototypes and full production deployments.Work hands-on with customers' technical teams as a technical expert and trusted advisor, coding side-by-side to drive projects to completion on their infrastructure.Collaborate with Product, Research and Applied teams to ensure seamless customer experiences, project success and actionable product feedbackContribute to internal knowledge bases, codifying best practices and sharing insights gained from customer engagements to scale the Forward Deployed Engineering function.You’ll thrive in this role if you:7+ years of professional full stack engineering experience (excluding internships) in relevant roles at tech and product-driven companies - customer-facing experience is highly desirableFormer founder, or early engineer at a startup who has built a product from scratch is a plusExperience with relational databases like Postgres/MySQLHave a bias for action and willingness to work iteratively with your customers to deliver the right solution that solves their problem.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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

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Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.Dataiku’s promise to our customers is to provide them with the software and support needed to accelerate their Data Science and Machine Learning maturity. Dataiku’s Data Science team is responsible for delivering on that promise. As an AI Solution Architect at Dataiku, you will have the opportunity to participate in our customers' journeys, from supporting their discovery of the platform to coaching users and co-developing data science applications from design to deployment. You will work mostly for our customers in the financial services and insurance industries. You will get hands-on experience coding in multiple languages (mostly Python, occasionally R, SQL, Pyspark, JavaScript, etc.) and applying the latest big data technologies to business use cases. Our ideal candidate is comfortable learning new languages, technologies, and modelling techniques while being able to explain their work to other data scientists and clients.  Key Areas of Responsibility (What You’ll Do) Help users discover and master the Dataiku platform through user training, office hours, demos, and ongoing consultative support. Analyse and investigate various kinds of data and machine learning applications across industries and use cases. Provide strategic input to the customer and account teams that help make our customers successful. Scope and co-develop production-level data science projects with our customers. Mentor and help educate data scientists and other customer team members to aid in career development and growth. Experience (What We’re Looking For) French and English - fluent Curiosity and a desire to learn new technical skills. Empathy and an eagerness to share your knowledge with your colleagues, Dataiku’s customers, and the general public. Ability to clearly explain complex topics to technical as well as non-technical audiences. Over 5 years of experience with coding (Python, R, SQL). Over 5 years of experience building ML models.   Understanding of underlying data systems and platform mechanics such as Cloud architectures, K8S, Spark, and SQL.  Bonus points for any of these Experience with Consulting and/or Customer-facing Data Science roles. Experience in the bank & insurance, or manufacturing industries. Experience with Spark, SAS, Data Engineering or MLOps. Experience developing web apps in JavaScript, RShiny, or Dash. Experience building APIs. Experience using enterprise data science tools. Passion for teaching or public speaking. #LI-Hybrid  What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.   Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com     Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

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At Replicant, we believe AI should work for people, starting with customer service. That’s why we built a platform that helps contact centers resolve more requests, proactively identify issues, and improve agent performance with AI-powered conversation intelligence and AI agents that act like your best reps.Our AI agents handle millions of calls every month for Fortune 500 companies and high-growth innovators. From processing payments to booking appointments and authenticating users, they help customers get what they need instantly, 24/7. Meanwhile, our real-time conversation insights help contact center leaders coach better and improve every interaction.We’re leading the shift from legacy systems to AI-first service, powered by large language models (LLMs) and designed for enterprise scale, security, and empathy. If you’re excited by the potential of LLMs, voice AI, and building category-defining technology with a kind, ambitious team, you’ll love it here.As a Business Development Representative, you will be focused on researching, prospecting, and creating new pipeline with enterprise customers and will have a direct impact on developing the sales culture at Replicant.Replicant is gaining traction with customer service organizations across the B2B sector in Retail, Insurance, Travel, Financial Services, Healthcare, and more. We are looking for an experienced BDR who can source enterprise deals involving multiple stakeholders in Customer Service, IT, and Operations. What You’ll DoDrive high-volume, highly-personalized outbound prospecting to generate net-new business opportunities.Use AI tools to enhance sourcing, research, prioritization, and message customization.Execute creative, research-driven outbound strategies tailored to target industries and personas.Understand and articulate Replicant’s value proposition across channels and competitively position our platform.Partner closely with marketing, product marketing, and sales to share outbound insights and optimize messaging.Take full ownership of outbound goals and deliverables with minimal oversight.Support inbound lead coverage as needed, with primary focus on outbound generation.Meet daily activity KPIs and consistently exceed quarterly quota goals, contributing to overall pipeline growthWhat You'll Bring3+ years in a Senior Business Development role with proven success driving outbound pipeline and influencing sales outcomesA clear long-term goal of becoming an Account Executive, demonstrated through ownership, curiosity, and progressionExperience working directly with customers (CX, support, success, service), with strong empathy and ability to understand customer pain pointsExceptional written, verbal, and presentation skills, especially in outbound communicationA results-driven, hunter mentality with consistent performance against outbound targetsEnergetic, self-motivated approach with strong follow-through and a bias for actionTech-savvy, able to quickly understand complex AI/automation technology and communicate value clearlyThrives in a high-growth, fast-paced environment where experimentation and creativity are encouragedCoachable and growth-oriented, someone who seeks feedback, levels up quickly, and wants to master the full sales cycleCreative thinker who enjoys testing new outbound approaches, personalizing at scale, and using AI to increase leverageFor all full-time employees, we offer:🌴 In-person connection that counts: company-wide offsites and smaller team gatherings designed to make remote work feel personal🖥️ Tech & learning stipend: Conferences, books, courses — interested? We’ll fund them📍 Remote by design: We’re distributed — no guilt about life events, we trust you to manage your calendar🏋️ Health & wellness: Flexible vacations, paid sabbatical after 5 years, comprehensive benefits, plus a stipend to support your physical and mental well-being💸 Compensation that matches your impact: competitive salaries in the company you’re helping to build📈 Equity with upside: We believe in shared ownership—You’ll own a real piece of a fast-growing AI companyOur ValuesReplicant has three core values. It is critical that everyone who joins the team feels excited and moved by these values as every new team member makes an impact on our culture.Blade Runners: We take ownership and pride to influence the outcomes of our goals. We are successful, and like a Blade Runner, use the tools at our disposal to reach our objectives. We value open and honest communication and proactively seek feedback along the way. We are a company driven to grow and achieve both individually and as a team.Bread Makers: We are humble and strive toward an egalitarian culture. No task is too big or too small. We work together to achieve our goals and develop our company mission. We believe that the whole is greater than the sum of its parts in everything that we do.Självdistans (Self-Distance): Självdistans is Swedish for self-distance. It's the ability to critically reflect on oneself and one's relations from an external perspective. With this in mind, we act with objectivity and always remember that we are not our work. There's no perfect science to growing a team or business, but we trust everyone at Replicant to point out our blind spots and humbly admit their own.Replicant is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at talent@replicant.ai and we’ll work to meet your needs.

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.About the team Our Government and Public Services business unit is committed to leveraging AI for the benefit of individual citizens and the public good. From our work informing strategic government decisions, to optimising our NHS, through to protecting children from harmful online content - we know that AI offers opportunities to drive improvements at every level of Government and we are proud to lead on some of the most impactful work happening in the sector.About the role As a Lead Learning Engineer at Faculty, you’ll ensure our AI-powered education solutions are grounded in learning science, measurably effective, and set a global standard for education innovation and excellence. You will set the strategy for learning design and evaluation, drive the creation and adoption of our Learning Engineering Playbook, and ensure our products genuinely improve how people learn. Working closely with senior leadership and cross-functional teams, you will architect scalable, data-rich learning systems and guide others to embed best-in-class learning science into our product development. What you'll be doing: Defining learning goals and skill models, and breaking them down into scaffolded tasks, assessments, feedback loops, and adaptivity logic.Designing instrumentation schemas (i.e., the events, labels, and outcomes we track) and setting metrics that link product use to learning outcomes like mastery or retention.Leading formative studies and collaborating on summative evaluations to validate learning impact.Working closely with UX, data science, and engineering teams to ensure learning-science principles are embedded in user flows and data pipelines.Contributing to Faculty’s Learning Engineering Playbook, refining design principles, checklists, and measurement tools to support reuse and consistency across projects.Supporting cross-functional teams and clients in applying learning-science best practice through collaborative design sessions and informal coaching.Who we're looking for: You have a strong foundation in learning sciences, instructional design, educational psychology, or a related field (advanced degree preferred).You’ve designed digital learning experiences and understand how to build effective user interactions in adaptive or AI-supported tools.You’re comfortable designing and analysing learning instrumentation — from A/B testing to formative or quasi-experimental studies.You can collaborate confidently with data scientists and engineers — specifying evaluation metrics, designing telemetry flows, and ensuring data supports learning outcomes.You’re a clear communicator who can translate complex learning-science ideas into practical input for product and engineering teams.What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.About the team Our Government and Public Services business unit is committed to leveraging AI for the benefit of individual citizens and the public good. From our work informing strategic government decisions, to optimising our NHS, through to protecting children from harmful online content - we know that AI offers opportunities to drive improvements at every level of Government and we are proud to lead on some of the most impactful work happening in the sector.About the role As a Lead Learning Engineer at Faculty, you’ll ensure our AI-powered education solutions are grounded in learning science, measurably effective, and set a global standard for education innovation and excellence. You will set the strategy for learning design and evaluation, drive the creation and adoption of our Learning Engineering Playbook, and ensure our products genuinely improve how people learn. Working closely with senior leadership and cross-functional teams, you will architect scalable, data-rich learning systems and guide others to embed best-in-class learning science into our product development. What you'll be doing: Leading the design of learning goals, skill models, adaptivity logic, and feedback systems across flagship education projects.Creating and owning Faculty’s Learning Engineering Playbook, defining best practices for scaffolding, feedback loops, measurement rubrics, and data instrumentation (i.e., how we track learning progress through user interactions).Designing and overseeing rigorous evaluations including formative, summative, and quasi-experimental studies to test product effectiveness and improve learning outcomes.Collaborating with product, data science, and engineering leads to co-architect learning systems that are technically robust and pedagogically sound.Coaching and mentoring Learning Engineers and cross-functional colleagues (PM, UX, DS) to apply learning science principles in day-to-day product decisions.Acting as the internal and external subject matter expert on learning science, representing Faculty in strategic conversations with senior clients. Who we're looking for:You have expert-level knowledge of learning sciences, instructional design, and cognitive or behavioural science.You’ve led the design and evaluation of complex digital learning systems, especially adaptive or AI-driven tools at scale.You bring deep expertise in defining data instrumentation and running robust evaluation strategies to measure learning impact (e.g., mastery, retention, transfer).You can partner confidently with data scientists and engineers to design adaptive systems and telemetry pipelines rooted in pedagogy.You’re an excellent communicator with the ability to influence senior stakeholders and guide product strategy through the lens of learning science. What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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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 looking for a AI Marketing Engineer, Agents to help technical teams build agents that can automate real work processes. You’ll master the art of agent building, understand architectural best practices, and then translate those to the broader customer base and agent builders everywhere.   At Glean, we believe AI agents are the next generation of apps—working alongside and on behalf of users and teams to get high-value work done. Building these agents requires both an understanding of what’s possible with AI and how businesses operate. This combination of technical and business expertise is what will help enterprises accelerate their path to agent adoption. We’re looking for someone who has been hands-on building agents that transform businesses. You’ll play a key role in taking these learnings and educating the market: capturing the mindshare of technical teams building agents, building ready-to-use agents, and defining architectural best practices for agentic automation.   You will: Build and scale agents that transform how businesses operate, driving adoption through enablement resources such as implementation guides, blogs, and live build sessions. Understand enterprise agent architectures in depth and translate those learnings into whitepapers, consulting sessions, and best-practice guides for technical teams. Cultivate relationships with agent builders, capturing their feedback and turning it into actionable insights that deepen trust and engagement with Glean Agents. Empower technical teams by creating high-quality tutorials, how-to guides, and blog posts that demonstrate best practices and accelerate adoption of Glean Agents. Represent Glean at conferences and events showcasing real-world enterprise agent architectures and learnings. About you:   4+ years of experience in outbound solutions architecture, with a strong track record of understanding customer requirements, translating them into architectural best practices, and packaging product solutions that drive adoption. You should also have hands-on experience building agents. Deep understanding of AI models and agent systems — including planners, tool use, memory, context engineering, and evaluation — so you can clearly explain concepts and tradeoffs to technical teams. Ability to translate business goals into technical agent architectures, and package up resources for both internal and external teams on how to identify the right agents, design them effectively, and actually build them. Passion for communication, storytelling, and technical writing. You bring clarity to complexity and make technical ideas feel exciting, relevant, and actionable. Strong technical skills. You can build agents in code or natural language, evaluate their quality, and use advanced agent tools to meaningfully improve performance. Collaborative and influential. You work seamlessly across marketing, engineering, and product, helping take lessons learned and feed them to the broader agent-building community. Location:  This is a hybrid position based in our San Francisco or Palo Alto office. You should also be prepared to travel for events and workshops. Compensation & Benefits:   The standard base salary range for this position is $160,000 - $250,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.   #LI-HYBRID

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!In this role, you will:Build and ship features for North, our AI workspace platformCollaborate with UI/UX designers to implement interface elementsAs security and privacy are paramount, you will sometimes need to re-invent the wheel, and won’t be able to use the most popular libraries or toolingCollaborate with researchers to productionize state-of-the-art models and techniquesResearch new technologies and best practicesYou may be a good fit if:Have shipped (lots of) Android and iOS code (Kotlin, Swift) in productionYou excel in fast-paced environments and can execute while priorities and objectives are a moving targetYou’ve worked in both large enterprises and startupsYou have strong coding abilities and are comfortable working across the stack.You’re able to read and understand, and even fix issues outside of the main code baseYou have experience bootstrapping new projectsYou have built and deployed extremely performant client-side or server-side RAG/agentic applications to millions of users.Bonus: You love art and have an eye for design and a creative mindset - A plus, if you have a portfolio, GitHub or other showcases of your projectsIf some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacation (30 working days!)

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?We’re seeking an experienced Technical Program Manager to join Cohere’s customer-facing Engineering Program Management team. We need someone with curiosity, drive, independence, and leadership, who has hands-on experience working directly with customers and managing projects for enterprise-grade software or enterprise-focused machine learning solutions. In return, you’ll have the unique opportunity to shape Cohere’s operations, collaborate with leading minds in the LLM space, work directly with our Strategic Customers as well as Applied ML (AML) Engineering, Forward Deployed Engineering (FDE), Platform , Product and Go-to-Market teams, and be the “technical” voice of Cohere for the customer. You will get a chance to create extremely high-impact contributions to our fast-growing company, product and culture.Please Note: This role is open to candidates based in Japan.As a Technical Program Manager, you will:Communicate: Provide clear, timely, and objective communication across the tech organization, Cohere teams, leadership, and most importantly - our strategic customers and external partners.Optimize: Break down complex issues into strategies, driving engineering alignment with product, business, and marketing while fostering collaboration.Plan: Create and manage project schedules, identify dependencies, manage risks, and drive organizational alignment.Execute: Ensure on-time delivery, identify development needs, and establish checkpoints for status updates.Problem solve: Proactively identify and resolve issues, coordinate cross-functional dependencies, and prioritize impacts to schedule and product quality.You may be a good fit if:Fluency in both English and Japanese (written and verbal) is required for this role.You have at least 7 years of experience as an Engineering or Technical Program Manager, with at least 2 years in customer-facing technical delivery and operations focused on enterprise-grade AI software/solutionsKnowledge or experience with LLM training or optimization would be a key differentiatorYou are problem-focused and making customers successful really excites youYou are detail-oriented and extremely self-organized. You love enabling people and teams around you, and are excellent at capturing detailed notes/action items during highly technical meetings and tracking progress.You have a Bias for Action - you are very execution focused and you like getting things done.You have experience working with cross-functional teams (more than one team) to get technical products, services or solutions shipped to an internal or an external customer and can independently own tracking and reporting across multiple work-streams, with owners in different time-zones.You are comfortable holding leaders and individual contributors accountable. You can be assertive while remaining diplomatic. You are not afraid to follow up with people to ensure shipping within committed deadlines.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacation (30 working days!)

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Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.Dataiku’s promise to our customers is to provide them with the software and support needed to accelerate their Data Science and Machine Learning maturity. Dataiku’s Data Science team is responsible for delivering on that promise. As an AI Solution Architect at Dataiku, you will have the opportunity to participate in our customers' journeys, from supporting their discovery of the platform to coaching users and co-developing data science applications from design to deployment. You will work mostly for our customers in the financial services and insurance industries. You will get hands-on experience coding in multiple languages (mostly Python, occasionally R, SQL, Pyspark, JavaScript, etc.) and applying the latest big data technologies to business use cases. Our ideal candidate is comfortable learning new languages, technologies, and modelling techniques while being able to explain their work to other data scientists and clients.  Key Areas of Responsibility (What You’ll Do) Help users discover and master the Dataiku platform through user training, office hours, demos, and ongoing consultative support. Analyse and investigate various kinds of data and machine learning applications across industries and use cases. Provide strategic input to the customer and account teams that help make our customers successful. Scope and co-develop production-level data science projects with our customers. Mentor and help educate data scientists and other customer team members to aid in career development and growth. Experience (What We’re Looking For) French and English - fluent Curiosity and a desire to learn new technical skills. Empathy and an eagerness to share your knowledge with your colleagues, Dataiku’s customers, and the general public. Ability to clearly explain complex topics to technical as well as non-technical audiences. Over 5 years of experience with coding (Python, R, SQL). Over 5 years of experience building ML models.   Understanding of underlying data systems and platform mechanics such as Cloud architectures, K8S, Spark, and SQL.  Bonus points for any of these Experience with Consulting and/or Customer-facing Data Science roles. Experience in the bank & insurance, or manufacturing industries. Experience with Spark, SAS, Data Engineering or MLOps. Experience developing web apps in JavaScript, RShiny, or Dash. Experience building APIs. Experience using enterprise data science tools. Passion for teaching or public speaking. #LI-Hybrid  What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.   Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com     Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

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About the TeamThe AI Deployment and Adoption team helps customers turn frontier AI into real business value. We accelerate adoption of OpenAI technology at scale and guide organizations from initial activation to measurable organization wide impact. We partner closely with Sales, Product, Solutions Architecture, and Security to deliver safe and responsible AI transformation. Our work shapes how customers generate tangible outcomes from OpenAI products and creates a repeatable blueprint for successful enterprise launches and expansions.About the RoleWe are hiring a Value Realization Lead to own the definition, tracking, and achievement of business outcomes across our enterprise, education and government customers. You will lead this important initiative and help our customers and internal teams create financial and operational assets that show proof of value of how OpenAI transforms workflows and productivity. You will build business case assets, calculators and validate outcomes through launch, adoption, and expansion.Your success will be measured by how quickly GTM customers realize value at scale, how clearly results are quantified for executives, and how frequently proven outcomes drive additional adoption.This role is based in San Francisco HQ in the United States.In this Role, You WillCreate the strategy of how we take our value realization program to the next level across all our productsCreate and maintain standardized ROI and TCO calculators for internal and customer use and codify value frameworks and reusable assets that scale globally across GTMDesign value realization plans that guide activation, workflow integration, and change managementCreate a structured value discovery process to identify high impact use cases and define measurable business outcomesPublish value reports that quantify results and strengthen relationships with C level sponsorsEstablish and maintain baselines, KPIs, and dashboards that track value deliveryBuild value hypotheses and business cases that support customer alignment and investment decisionsDevelop clear value storytelling for executives that highlights financial and productivity outcomesPartner with Account Directors and our post-sale teams to influence sales, renewals and expansion strategyProvide thought leadership on AI driven business transformation and evolving customer value patterns You Will Thrive in this Role If YouBring 8+ years of experience creating and scaling value realization/consulting/engineering teams or a similar roleHave strong financial analysis skills and experience presenting quantified value to executives with experience with enterprise telemetry, KPI tracking, or productivity measurementExperience with large scale AI, cloud, or digital transformation programsCommunicate with clarity and confidence with both technical and business stakeholdersCan translate AI capabilities into financial impact and workforce transformation narrativesEnjoy managing multiple complex customers at once and driving toward clear resultsShow humility, curiosity, and a desire to help customers succeedOperate with high ownership and urgencyAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the TeamOpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI.About the RoleWe’re looking for a RTL Engineer to design and implement key compute, memory, and interconnect components for our custom AI accelerator. You’ll work closely with architecture, verification, physical design, and ML engineers to translate AI workloads into efficient hardware structures. This is a hands-on design role with significant ownership across definition, modeling, and implementation.This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.ResponsibilitiesProduce clean, production-quality microarchitecture and RTL for major accelerator subsystemsContribute to architectural studies including performance modeling and feasibility analysis.Collaborate with software, simulator, and compiler teams to ensure hardware/software co-design and workload fit.Partner with DV and PD to ensure functional correctness, timing closure, area/power targets, and clean integration.Build and review performance and functional models to validate design intent.Participate in design reviews, documentation, and bring-up support across the full silicon lifecycle.You Might Thrive In This Role If You Have:Graduate-level research or industry experience in computer architecture, AI/ML hardware–software co-design, including workload analysis, dataflow mapping, or accelerator algorithm optimization.Expertise writing production-quality RTL in Verilog/SystemVerilog, with a track record of delivering complex blocks to tape-out.Experience developing hardware design models or architectural simulators, ideally for AI/ML or high-performance compute systems.Familiarity with industry-standard design tools (lint, CDC/RDC, synthesis, STA) and methodologies.Ability to work cross-functionally with architecture, ML systems, compilers, and verification teams.Strong problem-solving skills and ability to think across abstraction layers, from algorithms to circuits.Passion for building industry-leading massive-scale hardware systems.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.ABOUT THE TEAM The Corp Tech Acquisition team scopes and manages the implementation of Anduril’s acquired companies. We help enable the new acquisitions to build, ship, and deploy products at scale with Anduril’s systems and processes. As we continue to acquire companies and expand our capabilities, we are seeking a highly skilled Acquisition Program Manager specializing in Mergers & Acquisitions (M&A). This role will lead and coordinate the acquisition process, work with leadership and cross-functional teams to ensure a smooth integration, and manage all aspects of program planning and execution. ABOUT THE JOB   Oversee the acquisition program lifecycle from due diligence, integration, and adoption to completion across multiple acquisitions Work closely with cross-functional stakeholders (IT, Legal, HR, Supply Chain, Manufacturing, Mission Operations, Finance, Product, Deployments) to root cause problems and scope key requirements, milestones, and dependencies for acquisition implementation success Own building the program management foundation for the acquisition team Own defining, managing, and improving program management processes for all acquisition implementations Help implement risk management strategies, identifying potential issues and developing contingency plans Manage the program timeline across all related acquisitions, ensuring milestones are met and programs stay on track Define program scope, goals, and deliverables in collaboration with stakeholders and senior management Facilitate communication and collaboration across cross-functional teams and departments Provide regular updates and/or risks to the appropriate management channels and escalate issues, as necessary, according to each acquisitions integration plan Analyze each program status and, when necessary, revise the scope, schedule, or resources to ensure that program requirements can be met Establish and maintain relationships with relevant stakeholders, providing day-to-day contact on program status and changes REQUIRED QUALIFICATIONS   50%+ travel required insanely high execution bar, and will see all programs through from conception to tactical completion to move Anduril forward 5+ years of program management experience, preferably with managing complex systems and operations implementations 5+ years of experience with managing executive communication, board of director goals or driving cross company initiatives Excellent written and verbal communication skills and strong presentation skills, able to clearly articulate needs to leadership team and a wide variety of cross-functional stakeholders Collaborate across teams, strategizing how to bridge different parts of the organization to achieve cross-functional outcomes Ability to observe and anticipate potential risks across programs, milestones, timelines, etc. You are incredibly organized, detail-oriented, and and excel in strategic planning You have both high ownership and low ego, approaching everything with strong outcome orientation and high humility You’re discerning and an incredibly fast learner U.S. Persons status is required as this position needs to access export-controlled data    US Salary Range$146,000—$194,000 USD  The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:  Healthcare Benefits  US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you.  UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents.  IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents.  Additional Benefits  Income Protection: Anduril covers life and disability insurance for all employees.  Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.  Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.  Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching. Additional work-life services, such as legal and financial support, are also available.  Professional Development: Annual reimbursement for professional development  Commuter Benefits: Company-funded commuter benefits based on your region.  Relocation Assistance: Available depending on role eligibility.  Retirement Savings Plan  US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options.  UK & IE Roles: Pension plan with employer match.  AUS Roles: Superannuation plan.  The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.  To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. 

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Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With nine offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:Shield AI is seeking an Staff Systems Engineer, Cyber to lead the design and implementation of secure-by-design architectures across our autonomy software stack, developer tools, mission systems, and cloud-deployed infrastructure. You will work cross-functionally with engineering, product, infrastructure, and compliance teams to ensure that our autonomy platforms are robust against cyber threats, meet evolving security and assurance requirements, and are prepared for field deployment in adversarial environments. This is a technical and hands-on role focused on embedding security principles into software development lifecycles, designing resilient system architectures, and guiding the secure evolution of the Hivemind autonomy ecosystem and related platforms.Key Responsibilities:Define and evolve the security architecture across embedded, edge, and cloud components of Shield AI’s autonomy stackDrive adoption of secure software development practices, including threat modeling, secure code review standards, and automated static/dynamic analysis toolingLead the design of cryptographic protocols, identity and access management systems, secure communication layers, and key management infrastructureConduct architecture risk assessments and influence design decisions to minimize attack surfaces and improve defense-in-depthCollaborate with infrastructure, autonomy, and mission software teams to define policies for software update security, telemetry handling, and secure provisioningPartner with compliance and certification teams to align systems with NIST, FedRAMP, and/or DoD cybersecurity frameworksServe as a technical point of contact for external security assessments, penetration testing, and red team exercisesKey Outcomes:System-wide Security Architecture: well-defined, modular security architecture adopted across autonomy, developer tools, and fielded systemsIntegrated Secure SDLC Practices: security design and validation embedded into the software development lifecycle and CI/CD pipelinesResilient Identity & Access Control: robust IAM, authentication, and secure communication protocols implemented across cloud, edge, and vehicle systemsAttack Surface Reduction: system-level threat models maintained; critical vulnerabilities proactively mitigatedDeployment Readiness: platforms hardened for operational use in contested and adversarial environments; Hivemind software products deployed into secure environments (e.g. FedRAMP, IL3/IL5/etc)Cross-Team Security Alignment: security requirements clearly communicated and tracked across product and engineering teamsRequired qualifications:7+ years in cybersecurity engineering or architectureSome knowledge of modern cryptography, secure systems design, and authentication protocolsExperience designing secure architectures for distributed, embedded, or autonomy-related systemsFamiliarity with CI/CD pipelines, static analysis, container security, and SBOM practicesProven ability to assist with security initiatives across software and infrastructure teamsExperience with risk assessment methodologies and adversarial modelingPreferred qualifications:Proficient programming and review skills in C++, Python, Go, and TypescriptExperience in defense, aerospace, or critical infrastructure environmentsKnowledge of security certification processes (e.g., RMF, FedRAMP, NIST 800-53, DoD STIGs)Familiarity with secure boot, TPMs, hardware root of trust, and embedded device hardeningHands-on experience with secure telemetry, remote attestation, and anti-tamper designBackground in red teaming, incident response, or forensic readinessActive security certifications such as CISSP, GSE, OSCP, or equivalent 150,711 - 2,256,067 a year#LI-LD1#LF Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

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Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With nine offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:We’re seeking a Staff Integration & Test Engineer to lead advanced integration and test activities for Shield AI’s Hivemind autonomy systems in Frisco, TX. You’ll define and execute test strategies that span Hivemind Software integration, simulation, hardware-in-the-loop, vehicle-in-the-loop, and live flight operation, ensuring robust system performance and reliability in real-world mission environments.  As a senior technical leader, you’ll architect test infrastructure, collaborate with cross-functional teams, mentor teammates and drive continuous improvement in validation methodologies and test automation. This role is deeply hands-on and highly collaborative, working across software, hardware, systems, and flight test disciplines to ensure seamless integration of Hivemind autonomy on platforms such as VBAT.  Shield AI is scaling and growing rapidly, the ideal candidate will demonstrate adaptability, a growth mindset, and a willingness to learn new technologies and methodologies quickly in a fast-paced, evolving environment. This is an opportunity to grow alongside a company that is changing the world, building something insanely great with a mission-driven culture, a sense of urgency, and an unwavering commitment to protecting those who serve. What you'll do:Lead system-level integration, test planning, and validation for advanced autonomous aircraft systemsDefine and implement test architectures, methodologies, and strategies across simulation, HIL, VIL, and flight environments. Own and manage comprehensive test plans, defining objectives, success criteria, procedures, and resource needs. Architect and evolve test infrastructure and automation frameworks that enable scalable and repeatable validation. Define Hivemind Software test release processes and quality release gates. Collaborate closely with software, hardware, and systems engineering teams to ensure robust integration and system readiness. Conduct hands-on debugging and validation of autonomy, avionics, and control systems. Lead flight test preparation, system configuration, and real-time troubleshooting during live events.Develop tools and utilities in Python (and optionally C++) to support automation, data analysis, and telemetry validation.Establish test documentation standards, ensuring traceability, repeatability, and knowledge sharing across teams. Mentor and provide technical direction to junior and senior engineers, fostering a culture of technical rigor and continuous improvement. Partner with program and mission teams to communicate test readiness, progress, and system performance effectively.Required qualification:Bachelor’s or Master’s degree in Engineering, Computer Science, Robotics, Aerospace Engineering, or related technical discipline.8+ years of experience in system integration, test planning, and validation of complex systems—ideally within robotics, aerospace, or autonomy.Proven expertise in test planning, including test plan creation, test case design, and validation tracking and software quality release processes.Deep understanding of test infrastructure, automation, and validation methodologies.Strong proficiency in Python for scripting, automation, and analysis; working knowledge of C++ preferred.Experience architecting and maintaining Hardware-in-the-Loop (HIL), Vehicle-in-the-Loop (VIL), or similar real-time test systems.Proven ability to troubleshoot complex, multidisciplinary systems involving software, hardware, and controls.Demonstrated success leading technical projects, mentoring engineers, and defining test strategies for multi-system programs.Excellent communication and cross-functional collaboration skills.Adaptability, growth mindset, and willingness to learn new technologies quickly in a scaling, fast-paced environment.Self-starter with strong sense of urgency, initiative, and comfort operating in ambiguity.U.S. Citizenship and ability to obtain and maintain a SECRET clearance.Preferred qualifications:Experience testing or integrating autonomous air, ground or sea vehicles.Background in defense, aerospace, or mission-critical robotics systems.Experience developing test infrastructure and automation frameworks at organizational scale.Familiarity with simulation and modeling tools for system-level validation.Knowledge of configuration management, verification processes, and data analytics for test reporting.Experience supporting flight test operations, including safety, instrumentation, and post-flight analysis. 140,000 - 210,000 a year#LI-LD1#LD Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

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Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With nine offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. This role is for a seasoned C++ generalist and systems integrator who thrives at the intersection of software, infrastructure, and integration. You’ll lead complex technical efforts across distributed systems and simulation environments, with minimal oversight. Your work will shape foundational capabilities that power autonomy, simulation, and real-time system interfaces across multiple platforms. What You'll Do: Architect and implement high-performance C++ and Python systems across cross-platform environments.Lead the design and integration of distributed systems, simulation tools, and third-party hardware/software.Define and enforce technical direction, design patterns, and integration practices across projects.Guide teams in building robust messaging and API layers (e.g., gRPC, REST, ZeroMQ) that bridge critical system components.Own the evolution and support of CI/CD pipelines using GitLab CI, Docker, Conan, and CMake.Lead debugging and optimization of real-time and multi-threaded systems across a range of domains.Drive end-to-end integration efforts, including planning, implementation, and verification across simulation and operational systems.Serve as a force multiplier by mentoring other engineers and contributing to shared tooling and process improvements.Evaluate and incorporate new technologies that improve system performance, stability, and developer efficiency.Required Qualifications: Typically requires a minimum of 7 years of related experience with aBachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience.Advanced experience designing and maintaining large C++ systems, with fluency in C++14/17/20 and comfort navigating legacy C++98/03 codebases.Proficiency in Linux/Unix environments, including system-level development and debugging tools.Strong systems integration background with practical experience in distributed systems, real-time processing, and hardware/software interfaces.Significant experience with CI/CD systems, containerization (e.g., Docker), and build tooling (e.g., CMake, Conan).Proficiency in Python and familiarity with other scripting and automation tools.Deep knowledge of Linux environments (Windows experience is a bonus).Demonstrated success leading efforts involving 10+ contributors, including technical planning and mentorship.Strong understanding of networking concepts and communication protocols.Active SECRET clearance.Preferred Qualifications: Real-time or distributed simulation experience (e.g., AFSIM, NGTS, or similar).Familiarity with message-passing infrastructure and web-service technologies like gRPC, REST APIs, and message queues.Familiarity with open standards like UCI and OMS, and an understanding of data buses and interface protocols common in avionics and aircraft systems.Experience integrating simulation with autonomy frameworks or real-time operators.Experience developing and integrating with modeling or analysis pipelines.Ability to obtain a TS/SCI clearance. 150,711 - 226,067 a year#LI-LD1#LD Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

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Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With nine offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:At Shield AI, our mission is to protect service members and civilians with intelligent systems that are deployed in the world’s most critical environments. As an Engineer on our Software Systems team, you’ll play a central role in delivering integrated solutions built around our core autonomy platform—Hivemind—which is already operating in high-stakes, real-world missions.   This isn’t a traditional engineering role. You’ll work at the intersection of software, systems architecture, and autonomy—partnering across teams to turn complex design visions into operational reality. You won’t just build systems; you’ll help define how autonomous technologies are designed, developed, and deployed. In this role, you will collaborate closely with:  -US and international programmatic leadership to determine the ppropriate System Engineering level of effort  -System Design Teams (e.g., Human Factors, UX, Architecture, etc.) to decompose solution designs to actionable levels of detail  -System Development & Test (e.g., Development, Integration, Test) to define system architectures  What you'll do:Define end-to-end system requirements, from solution level to specific  implementations of software  Support the design & development process for the software system architecture  Use MBSE tools to document, maintain & extend existing architecture in support of new integrations & capabilities  Develop and maintain models using Unified Modeling Language (UML), Systems Modeling Language (SysML), and/or Unified Profile  Develop SysML models with emphasis on system decomposition, functions, interfaces, and behavior  Collaborate with SMEs for improved tooling and connection to code for automated system models  Lead cross-functional teams on projects  Collaborate to define implementations of the systems engineering processes  Engage cross-functionally with product management, program management,  mechanical engineering, embedded engineering, business development, and other company leaders  Report status, risks, accomplishments, expectations to senior leadershipRequired qualifications:A minimum of 5 years of systems engineering or related experience with a Bachelor’s degree; or 4 years and a Master’s degree; or 2 years with a PhD; or equivalent work experience.  B.S. degree in a STEM discipline (e.g., Software, Aerospace, Mechanical, Electrical Systems Engineering)  Experience with Systems Engineering practices and principals, including writing, organizing, and verifying requirements  Experience with MBSE and related efforts  Experience working in cross-functional teams  Excellent communication skills, both written and verbally  Organized and methodical  Software engineer experience in C++ and/or Python  Experience in reading, interpreting, and applying engineering drawings, including assembly drawings, parts lists, wiring diagrams, and schematics  Demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to othersPreferred qualifications:Expertise with Mavelink, Arudpilot, QGC and Mission Planner  Expertise with MBSE, inclusive of use of Cameo API and Velocity Template Language  (VTL)  Expertise with Requirement & Design decomposition  Experience in any/all of the following: Autonomy, Aircraft, Unmanned Vehicles    Our international team members are employed through our Employer of Record (EOR) and receive a comprehensive international benefits package on top of base salary. For full details on compensation and benefits, please consult your talent acquisition partner.

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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.

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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.

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Job Description: Enterprise AE EMEA Location:  UK (ideally commutable distance to London) Role: As an Enterprise Account Executive at Together, you will play a critical role in driving AI innovation by securing high-value enterprise accounts. You’ll focus on building and expanding relationships with some of the largest companies in the world, helping them leverage Together’s product suite to achieve transformative outcomes. You’ll work cross-functionally with product, engineering, and research teams to deliver the most impactful solutions, running proof-of-concepts (POCs) and identifying strategic opportunities to scale within accounts. The ideal candidate is a seasoned sales professional with a technical background, a proven track record of landing and expanding enterprise deals, and has a passion for AI, machine learning, or infrastructure products. Key Responsibilities: Close Large Enterprise Deals: Own the end-to-end sales process, from generating pipeline to closing high-value, strategic enterprise deals. Drive Expansion Opportunities: Identify and capitalize on opportunities for growth within existing accounts, becoming a trusted partner to key decision-makers. Manage POCs: Collaborate with internal technical teams and clients to design and execute successful proof-of-concepts that demonstrate the value of Together’s AI solutions. Pipeline Generation: Consistently generate and manage a robust pipeline, identifying new business opportunities and strategically positioning Together’s offerings. Collaborate with Product Teams: Bring the voice of the customer into product discussions, ensuring Together’s solutions align with enterprise needs and market trends. Community Engagement - Plan and host community events within target geographies to strengthen TAI’s brand presence and build awareness across the AI ecosystem Partner Engagement - Drive partner engagement initiatives to deepen relationships, expand collaborations, and amplify TAI’s presence within the AI ecosystem Requirements: 7-10 years of sales experience, with at least 1-3 years focused on strategic enterprise selling. Strong technical background, with experience in sales of AI/ML and/or infrastructure products strongly preferred. Proven success in closing large enterprise deals and expanding relationships within complex organizations. Ability to lead and manage POCs, working closely with technical teams to ensure success. Excellent communication skills, with the ability to engage effectively with both C-level executives and technical teams. Highly adaptable, proactive, and thrives in a fast-paced environment. Demonstrated ability to consistently meet or exceed revenue targets and pipeline generation goals. About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy