Technical Deployment Lead, Applied AI

Join Anthropic as an Engagement Manager on our Applied AI team, where you will spearhead the delivery of cutting-edge AI solutions for Fortune 500 companies. In this pivotal role, you will collaborate with customers to create bespoke AI agents that enhance their core business processes. You will oversee the entire project lifecycle from the signed Statement of Work (SOW) to production deployment, coordinating cross-functional teams that include Engineering, Product, Design, and key customer stakeholders. This position goes beyond traditional project management; you will adeptly navigate complex enterprise environments, eliminate technical and organizational obstacles, and drive measurable business outcomes while upholding our commitment to safety and reliability. Work closely with Forward Deployed Engineers (FDEs) to manage stakeholder relationships and organizational intricacies, ensuring seamless delivery of AI innovations. Additionally, you will champion our mission in the field and develop the frameworks that enable scalability in our growing initiatives.

At OpenAI, we are committed to ensuring that the advancements in artificial general intelligence (AGI) benefit humanity as a whole. To achieve this goal, we are laying the technical groundwork that enables enterprises to transition from initial experiments to real-world, production-level applications of our platform and coding solutions.The Lead Technical AI Deployment Manager plays a pivotal role in this mission. You will be responsible for shaping how OpenAI’s extensive technical knowledge is shared with developers and engineering groups — transforming our approach from high-touch, limited delivery to a scalable and consistent technical training model that drives significant customer results.This role involves architecting and expanding OpenAI’s technical adoption strategies for developers. The Technical AI Deployment Manager will convert OpenAI's platform capabilities into actionable, high-quality technical training that empowers clients to design, build, and deploy effective systems. This position operates at the crossroads of technical expertise, education, and scalability.You will lead by example — initially providing impactful technical training yourself — and subsequently develop a team, set standards, and establish an operational framework that facilitates this work on a global scale.This is a foundational leadership position with substantial visibility and a well-defined path for growth as you demonstrate your impact.

About the Role:As an AI Deployment Strategist at F2-ai, you will play a pivotal role in bridging customer success, sales, and engineering teams to guarantee technical precision and effective implementation of our innovative F2 product. You will establish yourself as the go-to expert in AI prompting, serving as the technical foundation for our go-to-market strategy.Your Responsibilities:Assist in the F2 sales process: Participate in prospect and client meetings to resolve technical inquiries related to our product.Manage customer due diligence: Complete InfoSec questionnaires and enhance our due diligence knowledge base continuously.Review reports produced by users, identify issues, and collaborate with engineering to ensure customers derive value from our AI solutions.Develop prompts: Craft natural language prompts tailored to specific customer requirements to guarantee accurate and relevant report outputs.Conduct light technical implementations, such as configuring Single Sign-On (SSO) or establishing custom data retention policies.Maintain CRM hygiene: Ensure data is clean and structured to support the scalability of customer success and sales teams.Act as the customer advocate to the engineering team, providing valuable feedback that aids in product enhancement.Who You Are:You are a dynamic professional adept at translating technical language for engineers and customers alike. Your experience with enterprise buyers enables you to convey complex systems in a straightforward manner, fostering cross-functional collaboration that leads to impactful results.Experience in prompt engineering and working with LLMs and AI SaaS tools.Familiarity with enterprise information security concepts and due diligence procedures.Excellent communication skills, commercially astute, customer-focused, and technologically proficient. You can simplify complex ideas for non-technical audiences.Proficient in project management of intricate workflows and technical deliverables without the need to write production code.Strong technical aptitude and willingness to enhance your coding skills.

About Our TeamAt OpenAI, our Forward Deployed Engineering (FDE) team collaborates with clients to transform cutting-edge research into robust production systems. We sit at the confluence of customer engagement and fundamental platform enhancement.About the PositionAs the Technical Deployment Lead (TDL) specializing in Life Sciences, you'll be instrumental in shaping how OpenAI delivers complex systems to our clients. You will oversee the development, deployment, and integration of these systems, ensuring alignment with business objectives. Your role includes translating strategic goals into actionable technical plans, managing the day-to-day activities of FDEs, researchers, and customer engineers, and collaborating with client teams to ensure that our solutions meet their unique needs.Your primary focus will be on the Life Sciences sector, working alongside pharmaceutical firms, clinical research organizations, and data service providers to implement innovative AI solutions for drug discovery, development, and operational processes. You will take charge of the entire delivery process: engaging with Life Sciences clients to delineate workflows and success metrics, ensuring timely component shipments, and leading readiness and change management efforts for effective user adoption. You’ll monitor progress, manage interdependencies, make sequencing decisions, and drive the development of prototypes from concept to MVP and beyond. Additionally, you’ll convey field insights to our Product and Research teams, helping to shape our strategic roadmap and priorities.Your success will be gauged primarily by the impact of your deployments—delivering tangible value that aligns with client objectives, fostering widespread adoption, and becoming integral to their operations. Other success indicators include delivery reliability, operational efficiency, quality of judgment under pressure, and the influence of your work on product development.This position offers a high level of trust and autonomy. To excel, you’ll need profound technical project management skills, a strong sense of ownership regarding outcomes, and the ability to deeply understand client workflows while collaborating with their teams to tackle intricate engineering challenges swiftly.Your Responsibilities Include:Leading the technical delivery strategy for multiple interconnected workstreams. Convert business goals into a comprehensive roadmap with milestones, dependencies, and acceptance criteria.Overseeing daily engineering operations. Monitor and drive the delivery across OpenAI FDE and client teams.

About Our TeamAt OpenAI, our Forward Deployed Engineering (FDE) team is dedicated to transforming groundbreaking research into robust production systems. We work closely with our clients to tackle significant challenges, serving as the driving force behind our most intricate large-scale projects. Our agile approach allows us to rapidly transition from prototypes to production, establishing reusable patterns that enhance our platform. We function at the nexus of deployment and development, collaborating extensively with OpenAI Research, Product, and Partnerships.About the PositionAs a Technical Deployment Lead (TDL), you will be instrumental in defining the delivery of sophisticated systems to our clients. You will oversee the construction, shipping, and adoption processes. Your role involves translating business objectives into actionable technical plans, managing daily operations across FDEs, Researchers, and Customer Engineers, and collaborating with customer teams to ensure the delivery aligns with their objectives.You will manage the entire delivery process: engaging with customers to outline workflows and success metrics, ensuring timely shipping of components, and leading readiness and change management efforts for successful adoption. Your responsibilities will include tracking progress, managing dependencies, making sequencing decisions, and driving prototypes from initial concept through to MVP and scaling. Additionally, you will provide field insights to Product and Research to inform roadmaps and priorities.Your success will primarily be measured by the impact of deployments that yield quantifiable value aligned with customer goals, increase adoption, and become integral to their workflows. Other success metrics include delivery reliability (meeting milestones, minimizing reopen/churn), operational efficiency (reusing patterns across deployments), sound judgment under pressure, and product impact (field feedback influencing roadmaps/architectures).This role is characterized by a high level of trust and autonomy. To excel, you will need profound technical project management skills, a strong sense of ownership over outcomes, and an ability to immerse yourself in customer workflows while partnering with their teams to resolve complex engineering challenges swiftly.This position is based in San Francisco. We adopt a hybrid working model, requiring three days in the office each week. Relocation assistance is available, and travel of 25%-50% is anticipated.

HappyRobot creates AI-driven workforces for enterprises, supporting operations across voice, email, and major enterprise systems. With backing from Y Combinator (S23), a16z, and Base10, and over $60 million raised, the team focuses on improving essential processes for large organizations worldwide. The platform began in complex logistics settings, where the team built its own voice stack, models, and orchestration layer. Today, HappyRobot is broadening this infrastructure to serve more industries. For details on the company's vision, see our manifesto. Role overview The Deployment Operations Lead acts as the operational center of the Deployments organization at HappyRobot. This position suits someone who values structure and discipline, and enjoys keeping complex operations organized. The role connects Deployments (including Forward Deployed Engineers and Deployment Strategists), Commercial, and Product teams to ensure accounts are staffed, delivered, and improved over time. Responsibilities include managing playbooks, staffing models, and feedback systems to make deployments repeatable and scalable. Tasks may involve creating onboarding materials, reallocating resources during a quarter, or helping define commercial scopes for new projects. What you will do Playbooks & Delivery Standards: Build and update deployment playbooks. Set best practices for each stage: scoping, kickoff, integration, go-live, and expansion. Ensure Forward Deployed Engineers and Deployment Strategists have reliable processes for every account. Staffing & Capacity Planning: Manage staffing for the deployment team. Assign engineers and strategists to accounts based on complexity, technical requirements, and available capacity. Adjust assignments as priorities change and serve as the main contact for team allocations. Delivery Assurance: Track account delivery across the portfolio. Identify risks early and put mitigation plans in place to keep projects moving forward. Location This position is based in San Francisco.

About Our TeamAt OpenAI, our AI Deployment Manager team collaborates with visionary organizations to transform innovative AI technologies into impactful solutions. We excel in facilitating technical enablement and adoption, guiding clients on effectively integrating OpenAI’s products into their workflows, teams, and processes.Our initiatives encompass structured workshops, technical enablement sessions, and adoption programs designed to transition customers from initial interactions to confident and scalable usage. We collaborate closely with Sales, AI Success Engineers, Solutions Engineering, and Product teams to ensure our clients are not only empowered but also positioned for long-term success as our platform continues to evolve.Our clientele ranges from rapidly-growing digital enterprises to the largest global corporations, government agencies, and educational institutions. Each engagement represents a chance to maximize the benefits of AI in the way individuals work, create, and innovate. This role is pivotal in achieving that goal.About the RoleThe AI Deployment Manager is a specialized post-sales enablement role, focused on delivering transformative enablement and adoption services across OpenAI’s diverse product offerings. This position is responsible for crafting and executing technical enablement experiences that uphold a repeatable adoption framework—fostering sustained engagement, broadening usage, and delivering measurable business outcomes across OpenAI’s product suite, including ChatGPT Enterprise, Codex, Agents, and our API. This entails assisting customers in understanding and effectively applying deployment harnesses, evaluation layers, and operational controls essential for reliable utilization.This position combines strong technical fluency, instructional design expertise, and customer advisory skills. You will facilitate live trainings, workshops, and adoption interventions for diverse audiences ranging from technical builders to executive leaders, guiding customers on not only the capabilities of OpenAI’s products but also on practical usage in real-world applications.Success in this role is measured by enhancing customer confidence, increasing product adoption, supporting successful launches of new features, and assisting clients in translating technical functionalities into tangible business results.This position is located at our San Francisco headquarters, operating under a hybrid work model of three days in the office per week, and we offer relocation assistance for new team members.In this role, you will:Oversee the technical enablement of OpenAI products, including ChatGPT Enterprise, Codex, Agents, and API capabilities, defining effective enablement patterns to support adoption...

About the RoleJoin Rowspace as a founding AI Deployment Manager, where you'll be the linchpin in maintaining and enhancing our relationships with high-profile financial clients. Your mission is to drive their success on the Rowspace platform, ensuring they derive maximum value while exploring opportunities for expanded usage across their organizations. As the primary feedback conduit between our customers and the product team, your insights will help shape our offerings.This innovative role transcends conventional account management, requiring you to dive deep into the intricacies of investor operations—including their research methodologies, decision-making workflows, and data infrastructures. The ideal candidate will possess firsthand experience in finance or a consulting background that showcases their adeptness at managing complex client relationships.Your ResponsibilitiesManage customer relationships after the sale, focusing on onboarding, adoption, expansion, and retention.Develop a comprehensive understanding of your customers' workflows and how Rowspace integrates into their daily processes.Serve as the voice of the customer, synthesizing feedback to collaborate closely with product and engineering teams on future developments.Identify growth opportunities and collaborate with Account Executives to close deals.Engage in late-stage deals to ensure seamless transitions, maintaining strong relationships even before contracts are finalized.Create playbooks that define exceptional customer engagement strategies at Rowspace.Your Qualifications3–7+ years of experience in finance (buy-side, sell-side, or fintech) or management consulting, with a proven track record in ongoing client engagement.In-depth knowledge of finance workflows or a rapid learning ability in this area.Demonstrated self-starter attitude with a proactive approach to problem-solving.Detail-oriented and curious; you prefer in-depth understanding over surface-level insights.Strong pattern recognition capabilities to identify trends across customer feedback and articulate their implications for product development.Excellent communication skills, capable of delivering clear updates and leading productive quarterly business reviews.

About the Role: Strala is on the lookout for exceptional operators to tackle one of the most challenging roles in AI-native services: enabling critical AI solutions for some of the world’s largest insurance companies. This role is pivotal, involving direct engagement with clients to ensure successful deployments of our technology. You will navigate complex environments, connecting our engineering efforts with the intricate realities faced by large insurers, ultimately delivering substantial ROI. If you possess a unique blend of technical expertise and leadership skills, capable of guiding high-stakes discussions with executives while also diving deep into data models to resolve issues, we want to hear from you.About Strala: At Strala, we are revolutionizing the claims process and enhancing loss ratios for the largest insurers globally. Our mission is to reshape the $280 billion foundation of the insurance industry using applied AI.In under a year, we’ve achieved multi-seven-figure ARR with approximately 50% month-over-month growth, all without dedicated growth personnel. We’ve successfully secured funding from top-tier investors, including early partners of OpenAI, Cognition, and Ramp. Our lean and powerful team comprises elite professionals, including top sales leaders, engineers from renowned companies like DRW, Optiver, AWS, and Palantir, AI researchers from prestigious institutions such as Oxford and Cambridge, and multiple ICPC and Olympiad winners.Key Responsibilities: Oversee multiple client deployments from post-sale design through to go-live and stabilization, serving as the primary contact for VP-level stakeholders.Collaborate with client teams on architecture, data models, workflow design, and source-of-record decisions.Transform complex client realities into structured plans, including milestones, ownership, risks, dependencies, and progress tracking. Communicate effectively with both client executives and internal engineering teams.Establish trust with senior stakeholders while engaging deeply with technical teams, earning credibility in both arenas.Coordinate daily with Strala's engineering and sales teams, translating client requirements into engineering priorities and incorporating deployment context into deal strategies.Partner with Sales on late-stage deals to refine project scope and identify opportunities for expansion.This position is based in San Francisco. We believe that in-person collaboration leads to better results.

About the TeamJoin the AI Deployment Engineering team at OpenAI, dedicated to the secure and efficient implementation of Generative AI applications for developers and enterprises. We serve as trusted advisors and innovative partners, crafting a comprehensive backlog of GenAI use cases tailored to industry needs, and guiding them to production with robust technical support. As the head of our AI Deployment Engineers in the Digital Native segment, you will empower technology and software companies to revolutionize their operations via solutions like customer service automation, content generation, and cutting-edge applications utilizing our most advanced models.About the RoleWe are in search of an accomplished leader to drive the technical success of our key technology and software clients across the Americas. In this strategic position, you will oversee the complete implementation process, guaranteeing smooth platform integration. Acting as the voice of our customers, you will coordinate technical teams to provide a unified, exceptional experience throughout the customer journey. Your performance will be evaluated based on the launch of live applications, increased API usage, and compelling customer success stories that highlight our technology's value.This position is based in our San Francisco office, operating on a hybrid work model of three days in-office per week, with relocation assistance available for new hires.Your Responsibilities Include:Develop and implement the strategy and operational framework for the AI Deployment Engineering team, ensuring alignment with corporate goals and customer needs.Lead, build, and mentor a team of high-achieving AI Deployment Engineers to achieve outstanding customer results, evidenced by production customer applications and enhanced API engagement.Act as the technical advocate for our clients, distilling their requirements to shape the Research and Applied Product/Engineering roadmaps.Serve as the primary technical escalation point during project development, fostering trust and ensuring direct communication with executive stakeholders.Establish yourself as an industry thought leader, promoting the safe and innovative utilization of our technology across diverse sectors.You Will Excel in This Role If You:Possess over 8 years of experience in a technical, customer-facing role, managing C-level technical and business relationships with complex global organizations.Demonstrate a strong foundation in AI technologies and their deployment in business contexts.Exhibit exceptional communication and leadership skills, with a proven ability to drive teams toward success.

Gimlet Labs is pioneering the creation of the first heterogeneous neocloud specifically designed for AI workloads. As the demand for AI systems continues to grow, the industry is encountering significant challenges related to power, capacity, and cost with current homogeneous, vertically integrated infrastructures. Gimlet tackles these limitations by decoupling AI workloads from their physical hardware, intelligently partitioning tasks into components and orchestrating them to the most suitable hardware, optimizing for performance and efficiency. This innovative approach facilitates the use of heterogeneous systems across multiple vendors and generations of hardware, including the latest cutting-edge accelerators, enabling substantial improvements in performance and cost efficiency at scale.Furthermore, Gimlet is developing a robust production-grade neocloud tailored for agentic workloads. Our customers benefit from deploying and managing their workloads seamlessly through stable, production-ready APIs, alleviating the need to focus on hardware selection, placement, or intricate performance optimizations.Collaborating with foundation labs, hyperscalers, and AI-native organizations, Gimlet powers real-world production workloads capable of scaling to gigawatt-class AI datacenters.Gimlet Labs is on the lookout for a Technical Staff Intern to assist in the development of our platform dedicated to deploying and monitoring AI workloads. In this role, you will leverage the latest AI methodologies to create frameworks that enhance and optimize AI workloads. You will play a vital role in advancing Gimlet’s unique compilation framework, facilitating the partitioning and orchestration of AI workloads across varied hardware environments. Your designs will lead to scalable systems capable of handling production workloads of millions of requests per second.

Join Our Innovative TeamAt OpenAI, our AI Deployment Engineering team is dedicated to the safe and impactful integration of Generative AI applications for developers and enterprises alike. Acting as trusted advisors and thought leaders, we collaborate closely with our customers to curate an effective portfolio of GenAI use cases tailored to their industries, propelling these solutions into production through expert technical guidance. As the head of our Solutions Architects within the Digital Native segment, you will empower technology and software firms to revolutionize their operations through advanced solutions, including customer service enhancements, automated content generation, and pioneering applications utilizing our most cutting-edge models.Your RoleWe are on the lookout for a visionary leader who will spearhead the technical success of our key technology and software clients across the Americas. In this pivotal position, you will oversee the entire implementation process, ensuring a smooth platform integration. As the voice of our clients, you will synchronize technical teams to provide a cohesive and outstanding experience throughout the customer journey. Your success will be gauged by the deployment of live applications, heightened API engagement, and compelling customer narratives that highlight the transformative power of our technology.This position is based in our San Francisco office, embracing a hybrid work model with three in-office days per week, and we offer relocation support for new hires.Key ResponsibilitiesDevelop and execute the strategy and operational framework of the AI Deployment Engineering team, ensuring alignment with organizational goals and the dynamic needs of our clients.Lead, nurture, and inspire a high-performing team of Solutions Architects to achieve remarkable customer outcomes, evidenced by production applications and increased API utilization.Act as the technical champion for our clients, translating their requirements into actionable insights for Research and Applied Product/Engineering roadmaps.Serve as the primary technical escalation resource during development phases, building trust and maintaining open lines of communication with executive stakeholders.Position yourself as an industry thought leader, advocating for the responsible and innovative use of our technology across various sectors.Ideal Candidate ProfilePossess 8+ years of experience in a technical, customer-facing role, particularly with C-level technical and business executives.Demonstrated leadership in managing complex projects and cross-functional teams.Exceptional communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.Strong analytical and problem-solving skills, coupled with a passion for innovative technology.

Join OpenAI as a Manager of AI Deployment Engineering for our Codex team. In this pivotal role, you will lead initiatives to deploy cutting-edge AI technologies, ensuring efficient integration and transformative impact across various platforms. Your expertise will drive the development of innovative solutions that enhance user experiences and streamline operations.

About the TeamAt OpenAI, our Forward Deployed Engineering (FDE) organization exists at the crucial intersection of product design, engineering, research, and market strategy. We are dedicated to transforming cutting-edge platform capabilities into practical applications by collaborating with design partners, converting raw customer feedback into tangible software, repeatable processes, and robust products.The FDE Platform team acts as a vital leverage function that amplifies the impact of the FDE organization on OpenAI’s products and platform. By integrating with customer-focused FDE pods, we provide hands-on support in areas such as architecture, product development, refactoring, and construction. This position is ideal for collaborative software engineers who are passionate about innovating with fellow creators on state-of-the-art products.About the RoleAs a pioneering Technical Deployment Lead (TDL) for the FDE Platform team, you will play a crucial role in ensuring the success of our earliest deployments with design partners, guiding them from initial planning and defining success metrics through to production and measurable value realization.This role is both operationally intensive and technically demanding: you will foster alignment among OpenAI and customer stakeholders, oversee the delivery plan across interconnected workstreams, and proactively address enterprise constraints to avoid late-stage discoveries. You will collaborate closely with both B2B and FDE Platform teams to ensure precise execution, transparent tradeoffs, and a scalable rollout strategy for our platform design partners. Success will be evaluated based on delivered outcomes and adoption within critical workflows rather than mere activity metrics.Your success will be quantified through impactful platform outcomes, which include successful deployments that deliver measurable value aligned with customer objectives, foster user adoption, and become integral to their workflows. Additional success metrics will encompass delivery reliability (on-time milestones, minimal reopen/churn), operational leverage (reuse of patterns across deployments), capacity for sound judgment under pressure, and product impact (field data that influences roadmaps and architectures).This position is based in San Francisco or New York City. Our hybrid work model requires employees to be in the office three days per week. We provide relocation assistance, and travel up to 50% is expected.In This Role, You WillDefine Pilot Scope and Success Criteria: Collaborate with customer sponsors and technical leads to translate goals into actionable plans, measurable outcomes, and clear acceptance criteria.Oversee Delivery Plans Across Workstreams: Manage the delivery process across multiple interdependent streams to ensure cohesive execution and successful deployment.

About ApiphanyApiphany is a groundbreaking foundational AI company dedicated to advancing physical product development. We empower innovators across automotive, aerospace, medtech, energy, and industrial sectors to convert vast amounts of unstructured technical data into immediate, actionable insights. Supported by prestigious investors including Markforged, Databricks, GM, and Character, our mission is to transform engineering decision-making, simplifying complexities for leading manufacturers worldwide.Our models are meticulously designed to handle the intricacies of engineering and manufacturing, comprehending principles of physics, design specifications, and program constraints. Our elite team comprises builders from Stanford, Berkeley, MIT, UW, and CMU, along with industry experts from GM, Ford, and Genesis Therapeutics. We are passionate about revolutionizing hard-tech and collectively establishing a category-defining company.About the RoleAs the Lead Deployment Strategist at Apiphany, you will bridge the gap between product, data, and customer success. Your goal will be to convert our partners' most intricate manufacturing and engineering challenges into substantial AI-driven outcomes.You will work closely with engineers, product designers, and executives—both internally and within customer organizations—to pinpoint high-impact problems, outline workflows, and implement Apiphany’s intelligence platform in practical settings. Your role will involve translating data insights into decisions that enhance the design and construction of the world's most advanced products.This position is ideal for analytical, product-oriented problem solvers who excel in uncertain environments, enjoy direct customer interaction, and aspire to connect AI technology with real-world change.

About the Team:The AI Deployment Management (ADM) team empowers organizations to harness OpenAI's products, translating them into meaningful, long-lasting results through exceptional service execution.Our mission is to facilitate the successful adoption and operationalization of AI within organizations. We collaborate with enterprises and educational institutions to transform the potential of OpenAI's technology into sustainable capabilities through structured training, technical enablement, and dedicated services.By guiding customers from experimentation to production, the ADM team accelerates their time-to-value, enhances product adoption, and establishes OpenAI as an essential element in organizational operations. In the education sector, this involves promoting AI literacy, fostering institution-wide adoption, and enhancing workflows in teaching, administration, learning, and research.About the Role:As the EDU AI Deployment Manager, you will play a crucial role in post-sales enablement, delivering high-impact adoption services tailored to educational institutions leveraging OpenAI's product suite. This position is responsible for designing and implementing enablement experiences that establish a repeatable adoption framework, ensuring sustained activation, broadening usage, and measuring impact across OpenAI’s offerings, including ChatGPT Enterprise and Agents.This role requires a blend of product expertise, instructional design, and customer advisory skills. You will lead interactive workshops, provide services, and create adoption strategies for diverse audiences, including faculty, students, staff, technical practitioners, and institutional leaders, helping them understand not just the functionalities of OpenAI’s products but also their application in real-world scenarios.Success in this role translates to accelerating institutional readiness and AI literacy, boosting product adoption across campuses, facilitating the launch of new product features, and assisting customers in realizing tangible outcomes across teaching, learning, research, and operations. You will take charge of achieving outcomes related to activation and sustained usage by shaping how enablement leads to measurable impact.This role is based in our San Francisco or New York City office, operating on a hybrid work model with three days in the office each week. We also offer relocation assistance for new employees.Responsibilities:Own the enablement of OpenAI products, including ChatGPT Enterprise and Agents, while defining effective enablement patterns to support adoption among faculty, students, IT administrators, and instructional designers.

*Candidates must be available for at least 3-5 days per week at one of the following locations:Shackelford, TexasSanta Teresa, New Mexico / (El Paso, TX)Saline, MichiganAbout Our Team:At OpenAI, we are on a transformative journey to establish the most advanced AI infrastructure ecosystem in collaboration with our capital partners. The Stargate team plays a pivotal role in shaping our core infrastructure strategy and executing our ambitious vision. We engage deeply with commercial, technical, strategic, and operational facets, liaising with teams and executives both within and outside of OpenAI.About the Role:We are seeking a dynamic Technical Program Manager who thrives on tackling substantial global challenges with a broad array of stakeholders. This role is integral to the Infrastructure Strategy & Delivery team supporting Stargate, focusing on coordinating datacenter deployments in collaboration with external development and operations teams.Delivering a data center is a complex endeavor that requires a holistic understanding of commercial dependencies, construction timelines, equipment readiness, design specifics, and commissioning timelines. It necessitates a proactive mindset to foresee potential issues and mitigate risks before they arise.In this role, you will be responsible for managing site deployment, ensuring that our data center and supercomputer projects are successfully delivered on schedule. You will work closely with our strategic partners to ensure they meet contractual milestones for AI compute delivery. By fostering relationships, establishing critical timelines, and enhancing supplier performance, you will be at the forefront of OpenAI’s infrastructure and organizational strategy. Infrastructure is destiny, and you will be in the driver's seat!Your Responsibilities:Lead partner performance to meet essential commercial SLAs, construction timelines, and deployment commitments.Act as the primary liaison with external partners for contract alignment, risk management, and high-level reporting.Identify and mitigate risks to datacenter deployments by recognizing critical path items and addressing blockers proactively.Cultivate relationships with internal and external stakeholders, ensuring effective communication and prompt decision-making.

About Our TeamThe Technical Success team at OpenAI is pivotal in ensuring the seamless and secure deployment of ChatGPT and OpenAI API applications for both developers and enterprises. Acting as trusted advisors, we empower our customers to maximize the value derived from our innovative models and products.Within this team, the AI Deployment Engineering group is dedicated to supporting high-impact and strategic partners. We engage collaboratively to overcome technical challenges, provide in-depth expertise, and co-create groundbreaking ecosystem experiences that showcase the enhanced benefits of partnering with OpenAI.About the RoleWe are seeking an AI Deployment Engineer to play a crucial role in shaping the future of OpenAI’s partner ecosystem within the ChatGPT domain across various applications and commerce. As the primary technical resource for our strategic partners, you will lead solution design efforts and co-develop innovative experiences that fully leverage our platform's capabilities.You will provide expert technical guidance while collaborating with our Partnerships, Product, Engineering, and Go-To-Market teams, reporting directly to the Technical Success department.This position is based in our San Francisco or New York City office, utilizing a hybrid work model of three days in-office each week, with relocation assistance available for new hires.Key Responsibilities:Deliver outstanding partner experiences by providing technical expertise, scoping use cases, and aiding in the development of applications within ChatGPT and commerce checkout processes alongside technical stakeholders and strategic partners.Collaborate with our Partnerships team to design and support ecosystem integrations, ensuring technical feasibility and impactful launches.Advise partners on best practices for utilizing the OpenAI API and ChatGPT to develop secure, scalable, and unique experiences.Act as the initial point of contact for inquiries related to design, security, compliance, and architecture, escalating complex requirements to internal experts when necessary.Develop and sustain documentation, implementation guides, and FAQs addressing common partner requirements and technical hurdles.Collect partner feedback to represent the ecosystem's voice within internal teams, influencing product roadmaps and future partner initiatives.

As the Deployment Director at endeavorAI, you will play a pivotal role in leading our deployment initiatives and ensuring the successful execution of our cutting-edge AI solutions. You will collaborate closely with cross-functional teams to strategize, oversee, and optimize deployment processes, ensuring that our technology meets the highest standards of quality and performance.

Cooper AI develops artificial intelligence tools designed for the commercial insurance industry. The platform integrates with existing systems to automate manual tasks, allowing professionals to focus on clients and business growth. With backing from Lightspeed, General Catalyst, and Valor, Cooper AI spun out of Nirvana, a Series D insurtech company valued at $1.5 billion. The company's mission centers on modernizing the global insurance market by automating workflows and delivering real-time improvements for carriers and brokers. Role overview The AI Deployment Strategist shapes Cooper AI’s market presence and delivers value to customers throughout the deployment lifecycle. This role adapts the platform to fit each agency’s processes, partners with engineers to connect systems, and trains users for sustained adoption. The strategist acts as an advisor to insurance leaders and works closely with product and engineering teams. The position’s impact extends beyond software setup, helping insurance organizations transform their operations. What you will do Lead deployments from start to finish. Manage multiple customer projects, from initial scoping and configuring Cooper’s features to setting up integrations and supporting adoption among producers, service representatives, and account managers. Drive meaningful activation. Focus on transforming agency operations by customizing the platform, empowering internal champions to train others, and tracking usage to ensure Cooper becomes part of daily workflows. Be a trusted advisor. Build relationships with agency owners and user champions, map AI capabilities to real-world use cases, share data-driven insights, and help shape product and adoption strategies. Requirements 4+ years’ experience in management consulting or a related area, with strong knowledge of the insurance industry. Technical skills in software integration and managing deployment projects. Clear communication and the ability to collaborate with a range of stakeholders. Location: San Francisco, CA