About the Company
The OpenAI Deployment Company (\"DeployCo\") is the deployment arm of OpenAI, purpose-built to deliver enterprise AI transformation at scale. As model capabilities accelerate, deployment has become the primary constraint to realizing AI value creation within large enterprises. DeployCo bridges that gap.
Our ambition is to build the company that defines AI deployment. We operate at the intersection of cutting-edge AI, enterprise transformation, and scaled services delivery. We partner with enterprise customers to identify where AI can transform their businesses and build solutions leveraging OpenAI's models and products. We work with many of the world's largest and most influential companies to solve their most complex business challenges using the latest advances in AI.
People who thrive at DeployCo get excited about ambitious and complex work. We are deep believers in the future with AI. We execute quickly, value intellectual honesty and empathy, and obsess over the solutions we build for our customers.
DeployCo is being built from the ground up as a subsidiary of OpenAI and funded with a partnership of outside investors.
About the Role
We are seeking a Forward Deployed Engineer to lead the design, build, and deployment of enterprise AI systems. In this role, you will operate as a senior technical owner across customer engagements, shaping architecture, setting engineering standards, and helping teams move from prototypes to durable production AI systems. DeployCo is one of the few places where engineers can work with the autonomy of a small startup while building for the scale, complexity, and impact of the world’s largest enterprises.
Your day-to-day will include leading technical discovery, designing solution architecture, building production-grade agentic AI applications, mentoring engineers, evaluating model behavior, and translating field learning into reusable platform and delivery patterns. We typically use existing closed- and open-source foundation models, including OpenAI models and APIs, and focus on turning state-of-the-art capabilities into reliable products.
We're looking for engineers who deploy high-quality agentic systems into real customer workflows and business critical decisions and deliver reusable components that help future deployments move faster.
This role is based in the UAE, with hybrid work and customer travel shaped by deployment needs.
In this role, you will:
Lead software engineering workstreams for customer deployments, owning architecture, implementation quality, evaluation strategy, and production readiness for LLM-powered systems.
Build AI applications, agents, and workflow tools using LLMs, retrieval, orchestration, APIs, data systems, and production software practices.
Guide engineers through ambiguous technical problems, reviewing designs, code, tradeoffs, and operating assumptions.
Work directly with customer technical teams and business stakeholders to translate workflows into reliable AI systems.
Prototype quickly, identify what is reusable, and harden successful patterns into reference architectures and implementation assets.
Design evaluation and monitoring approaches that improve quality, reliability, safety, and customer trust.
Surface field insights to Product and Research, connecting deployment reality to roadmap priorities and model/system improvements.
You may thrive in this role if you:
Bring senior software engineering experience building production applications and microservices, including APIs, scalable data pipelines, data systems, and cloud infrastructure.
Use your expertise in Python and SQL to design and build robust data applications in enterprise environments.
Bring production LLM experience, including leading teams delivering generative AI systems with hands-on understanding in agents, retrieval, evaluation, fine-tuning, prompt engineering, and model integration.
Have led software engineering projects from prototype to production and can set a high-quality bar while keeping teams moving quickly.
Are comfortable as a hands-on player-coach: writing code, reviewing designs, mentoring engineers, and owning customer outcomes.
Communicate clearly with executive, product, research, customer, and engineering audiences when decisions involve risk or ambiguity.
Make disciplined standardization-versus-customization decisions instead of defaulting to bespoke work.
Operate calmly under pressure and turn messy deployment problems into practical, reusable engineering patterns.
About the Company
The OpenAI Deployment Company (“DeployCo”) is the deployment arm of OpenAI, purpose-built to deliver enterprise AI transformation at scale. As model capabilities accelerate, deployment has become the primary constraint to realizing AI value creation within large enterprises. DeployCo bridges that gap.
Our ambition is to build the company that defines AI deployment. We operate at the intersection of cutting-edge AI, enterprise transformation, and scaled services delivery. We partner with enterprise customers to identify where AI can transform their businesses and build solutions leveraging OpenAI’s models and products. We work with many of the world's largest and most influential companies to solve their most complex business challenges using the latest advances in AI.
People who thrive at DeployCo get excited about ambitious and complex work. We are deep believers in the future with AI. We execute quickly, value intellectual honesty, and obsess over the solutions we build for our customers.
DeployCo is being built from the ground up as a subsidiary of OpenAI and funded with a partnership of outside investors.
About the Role
We are seeking a Member of the Finance Staff to help build DeployCo’s FP&A capabilities as the business scales. Reporting to the FP&A lead, this individual contributor will bring rigorous financial modeling, commercial judgment, and hands-on analytical execution to a growing finance team.
Your core responsibilities will be maintaining the rolling forecast and producing weekly pipeline reporting, translating changes in commercial activity, delivery capacity, and hiring into a clear view of financial performance and priorities. You will also support budgeting, management and board reporting, pricing and deal profitability analyses, strategic projects, and M&A evaluation and integration.
You will help design and build AI-enabled systems and workflows that improve the quality, speed, and repeatability of finance work. Working with Finance, Revenue Operations, GTM, Delivery, and People teams, you will turn incomplete information into well-supported assumptions, reliable models, and clear recommendations.
This role is based in New York City.
In this role, you will:
Maintain integrated rolling forecasts for the P&L, balance sheet, and free cash flow, linking commercial and operating assumptions to financial performance.
Forecast demand and capacity for deployment professionals by role, skill set, and geography to guide hiring, staffing, and utilization decisions.
Produce weekly pipeline reporting with Revenue Operations and GTM teams, reconciling changes in value, stage, probability, and timing to assess forecast implications and capacity planning.
Support budgeting, long-range planning, and headcount and expense planning, explaining variances against plan and forecast and highlighting risks and opportunities.
Build financial models, scenarios, and sensitivities to evaluate growth, unit economics, and investment decisions and inform management, board, and investor reporting.
Support pricing and deal desk decisions through customer and project profitability analyses that assess delivery costs, commercial terms, cash implications, and economic tradeoffs.
Support M&A evaluation, financial diligence, and integration planning, assessing business plans and synergies and tracking integration costs and performance through forecasting and reporting.
Help design and build AI-enabled forecasting, reporting, and analytical workflows that reduce manual work and improve insights, with checks on inputs, calculations, and outputs.
Help shape the long-term vision, organizational structure, and hiring roadmap for a growing FP&A function, while initially serving as a hands-on individual contributor.
Partner across Finance, GTM, Delivery, People, and Data to reconcile inputs, challenge assumptions, and deliver reliable recurring analyses and clear recommendations on ad hoc questions.
You may thrive in this role if you:
Have 5-8 years of total experience and substantial modeling expertise, preferably from an investment banking or private equity environment. Rigorous corporate FP&A and finance rotational backgrounds are also welcome.
Have advanced Excel or Google Sheets skills and build auditable models from first principles, linking operating drivers to financial statements and testing scenarios and sensitivities.
Bring strong financial judgment across unit economics, pricing, profitability, valuation, and investment returns.
Have demonstrated hands-on experience using AI tools for substantive financial analysis, with the judgment to verify data, calculations, and conclusions and develop repeatable workflows.
Can structure ambiguous questions, reconcile incomplete data, document assumptions, and investigate discrepancies before drawing conclusions.
Thrive in an ambiguous environment - Own recurring deliverables with accuracy and timeliness while balancing ad hoc requests.
Communicate clear recommendations and tradeoffs through writing, presentations, and effective collaboration with colleagues outside finance.
Ideally bring operating experience in budgeting, forecasting, or data analytics and translating financial plans into business decisions.
Experience with SQL or Python is a plus but not required.
About the Company
The OpenAI Deployment Company (“DeployCo”) is the deployment arm of OpenAI, purpose-built to deliver enterprise AI transformation at scale. As model capabilities accelerate, deployment has become the primary constraint to realizing AI value creation within large enterprises. DeployCo bridges that gap.
Our ambition is to build the company that defines AI deployment. We operate at the intersection of cutting-edge AI, enterprise transformation, and scaled services delivery. We partner with enterprise customers to identify where AI can transform their businesses and build solutions leveraging OpenAI’s models and products. We work with many of the world's largest and most influential companies to solve their most complex business challenges using the latest advances in AI.
People who thrive at DeployCo get excited about ambitious and complex work. We are deep believers in the future with AI. We execute quickly, value intellectual honesty, and obsess over the solutions we build for our customers.
DeployCo is being built from the ground up as a subsidiary of OpenAI and funded with a partnership of outside investors.
About the Role
We are seeking a Technical Deployment Lead to turn ambitious customer deployments into shipped, adopted systems. In this role, you will lead day-to-day technical delivery for complex engagements: translating business outcomes into technical plans, coordinating Forward Deployed Engineers (FDEs), researchers, customer engineers, Product, and customer teams, and carrying solutions from prototype through production adoption. This role will report to DeployCo delivery leadership and partner closely with Forward Deployed Engineering, Product, Research, Customer Success, Partnerships, and customer stakeholders.
Your day-to-day will be mapping customer workflows and success criteria, building delivery plans, tracking dependencies, sequencing workstreams, unblocking technical teams, making scope tradeoffs, communicating risks, and driving readiness and change management so deployed systems land in real workflows. You will also codify reusable patterns, surface field insights, and help turn complex deployments into repeatable operating muscle.
Success in this role will look like deployments that deliver measurable customer value, reach production reliably, drive adoption, and produce reusable patterns for future engagements. You will be measured by delivery reliability, quality of technical execution, customer trust, operating leverage, judgment under pressure, and the strength of field signal shared back to Product and Research.
In this role, you will:
Own technical delivery plans for customer workstreams, translating business objectives into milestones, dependencies, acceptance criteria, and operating rhythms.
Run day-to-day execution across DeployCo, OpenAI, and customer teams, keeping work sequenced, risks visible, blockers resolved, and critical paths protected.
Embed with customers to map workflows, shape requirements, align technical plans to success criteria, and ensure solutions are adopted in production.
Partner with FDEs, researchers, product, customer engineers, and customer technical teams to move prototypes through MVP, production readiness, launch, and scale.
Make pragmatic tradeoffs on scope, sequencing, resourcing, and quality while maintaining trust with technical and executive stakeholders.
Own value cases and impact measurement, including hypotheses, baselines, KPIs, adoption tracking, and readouts to sponsors.
Codify reusable delivery patterns, implementation playbooks, evals, and field insights that improve future deployments and inform product roadmap priorities.
You may thrive in this role if you:
Have 5+ years of customer-facing technical delivery, technical program management, deployment, consulting, solutions engineering, or implementation leadership experience.
Have led complex, ambiguous, cross-functional technical projects where outcomes depended on tight coordination and fast decision making.
Are technically fluent enough to pressure-test architectures, integration plans, data and workflow constraints, and production readiness without needing to be the deepest engineer in every domain.
Move fluidly between system-level strategy and execution-level detail, from executive objectives to ticket-level dependencies.
Communicate clearly with business leaders, technical teams, and customer stakeholders, especially when tradeoffs involve risk, scope, speed, or adoption.
Bring strong customer empathy and are willing to spend time onsite with customers when it accelerates delivery and trust.
Have practical interest or experience in AI/LLM systems and are eager to learn solution patterns, evaluation practices, and production pitfalls.
Operate well in high-ambiguity environments and bring enough structure to make complex work simple, visible, and shippable.
About the Company
The OpenAI Deployment Company (“DeployCo”) is the deployment arm of OpenAI, purpose-built to deliver enterprise AI transformation at scale. As model capabilities accelerate, deployment has become the primary constraint to realizing AI value creation within large enterprises. DeployCo bridges that gap.
Our ambition is to build the company that defines AI deployment. We operate at the intersection of cutting-edge AI, enterprise transformation, and scaled services delivery. We partner with enterprise customers to identify where AI can transform their businesses and build solutions leveraging OpenAI’s models and products. We work with many of the world's largest and most influential companies to solve their most complex business challenges using the latest advances in AI.
People who thrive at DeployCo get excited about ambitious and complex work. We are deep believers in the future with AI. We execute quickly, value intellectual honesty, and obsess over the solutions we build for our customers.
DeployCo is being built from the ground up as a subsidiary of OpenAI and funded with a partnership of outside investors.
About the Role
As a Forward Deployed Engineer, you will operate as a technical lead on high-stakes, ambiguous customer deployments and own both technical and business value outcomes end-to-end. You will set the bar for customer engagement and deployments of our technology, helping establish the foundation for OpenAI Deployment.
You will ramp quickly toward management responsibilities and help grow a team that can operate under pressure to deliver meaningful outcomes for customers.
You will also help shape how AI can be leveraged to drive real-world impact, as well as how the team organizes to deliver that impact. You will partner closely with OpenAI’s core functions to ensure field work informs roadmap priorities, drives new exploration, and supports safe deployment at scale.
This role is based in San Francisco or New York City. We use a hybrid work model with three days per week in the office and offer relocation assistance. This role will also require up to 50% travel.
In this role, you will:
Act as the technical lead for customer engagements, owning problems end-to-end from definition to resolution
Operate with strong agency, delivering outcomes through clarity, speed, tight coordination, and high technical quality
Guide deployment strategy and help define DeployCo’s operating model for swift, safe execution
Define and build deployment primitives that increase both customer impact and engagement velocity
Operate as a player-coach, setting a high bar for execution while helping grow the team through direct, actionable feedback
Codify successful patterns into tools, playbooks, and roadmap inputs that create leverage for DeployCo
Identify early signals and escalate them with urgency—whether in product behavior, customer environments, or delivery practices
You may thrive in this role if you:
Bring 4+ years of engineering experience
Have 0→1 experience building reusable capabilities under ambiguity, and can make disciplined standardization-versus-customization decisions instead of defaulting to bespoke work
Have led high-pressure technical projects from prototype to production
Write and review production-grade code across frontend and backend using JavaScript or Python
Simplify complex work and make fast, sound decisions under pressure
Elevate team performance through clarity rather than process overhead
Operate with urgency in ambiguous or evolving environments
Translate field experience into clear, actionable feedback for Product and Research
Build deep trust with teammates by modeling calm, focus, and strong judgment when it matters most
About the Company
The OpenAI Deployment Company (“DeployCo”) is the deployment arm of OpenAI, purpose-built to deliver enterprise AI transformation at scale. As model capabilities accelerate, deployment has become the primary constraint to realizing AI value creation within large enterprises. DeployCo bridges that gap.
Our ambition is to build the company that defines AI deployment. We operate at the intersection of cutting-edge AI, enterprise transformation, and scaled services delivery. We partner with enterprise customers to identify where AI can transform their businesses and build solutions leveraging OpenAI’s models and products. We work with many of the world's largest and most influential companies to solve their most complex business challenges using the latest advances in AI.
People who thrive at DeployCo get excited about ambitious and complex work. We are deep believers in the future with AI. We execute quickly, value intellectual honesty, and obsess over the solutions we build for our customers.
DeployCo is being built from the ground up as a subsidiary of OpenAI and funded with a partnership of outside investors.
About the Role
We are seeking a Head of IT to help set up DeployCo as the category-defining AI deployment platform globally. In this role, you will be responsible for designing, building, and operating the company's first internal technology foundation across identity, devices, SaaS administration, support workflows, automation, vendor operations, and IT team-building. This role will report to DeployCo leadership and partner closely with Security, Engineering, People, Finance, Legal, Workplace, and deployment teams.
Your day-to-day will be a mix of hands-on systems buildout, employee support, automation, security partnership, vendor management, and operating-model design. You will choose and administer core systems, write scripts and workflows, build onboarding and offboarding and access processes, create self-service support, manage devices and SaaS, resolve issues for employees, and decide when to hire, buy, build, or automate.
Success in this role will look like a secure, reliable, auditable, AI-native IT foundation that helps a fast-growing deployment company move quickly without brittle exceptions. Within the first year, employees onboard smoothly, access and devices are managed consistently, common support workflows are automated, Security has usable evidence and controls, leadership has visibility into roadmap, risk, and budget, and the first IT hires are operating with high standards.
In this role, you will:
Build the IT function from zero, including the roadmap, operating cadence, service model, vendor strategy, documentation, metrics, and hiring plan.
Stand up and administer core systems across identity, endpoint management, SaaS, asset management, ticketing, knowledge management, networking, and collaboration.
Design secure employee lifecycle workflows for onboarding, offboarding, access requests, group management, device provisioning, app assignment, approvals, and audit trails.
Use AI and automation to reduce manual work across support, provisioning, documentation, incident triage, access reviews, policy Q&A, and compliance evidence collection.
Partner with Security to implement controls around SSO, MFA/passkeys, SCIM, conditional access, device posture, privileged administration, logging, vendor risk, and data protection.
Partner with Engineering and deployment teams to support technical workflows, customer-facing urgency, developer tooling, and systems that let teams move quickly without creating risky exceptions.
Manage IT budget, procurement, renewals, hardware logistics, and vendor relationships with a bias toward speed, simplicity, and durable leverage.
Hire, coach, and lead a small high-performing IT team while staying close to the work and modeling a hands-on builder culture.
You may thrive in this role if you:
Have 8+ years of experience across IT, systems engineering, enterprise technology, infrastructure, security operations, platform operations, or a similar domain.
Have built or materially rebuilt IT infrastructure in a startup, high-growth company, new business unit, or similarly ambiguous environment.
Are technically credible and hands-on across areas such as identity platforms, endpoint management, Google Workspace or Microsoft 365, Slack, SaaS administration, networking basics, cloud administration, scripting, and workflow automation.
Are already a serious user of AI tools and have a practical point of view on how models, agents, and automation can change internal operations.
Can write or debug scripts, connect APIs, inspect logs, configure admin consoles, and turn repeated manual work into reliable workflows.
Have strong security judgment and know how to design controls that are practical, auditable, and usable.
Communicate clearly with technical and non-technical stakeholders when tradeoffs involve speed, risk, cost, or employee experience.
Enjoy being a player-coach: you can set strategy and manage people, but you are also willing to solve the ticket, configure the system, write the doc, and carry the work through.
About the Company
The OpenAI Deployment Company (“DeployCo”) is the deployment arm of OpenAI, purpose-built to deliver enterprise AI transformation at scale. As model capabilities accelerate, deployment has become the primary constraint to realizing AI value creation within large enterprises. DeployCo bridges that gap.
Our ambition is to build the company that defines AI deployment. We operate at the intersection of cutting-edge AI, enterprise transformation, and scaled services delivery. We partner with enterprise customers to identify where AI can transform their businesses and build solutions leveraging OpenAI’s models and products. We work with many of the world's largest and most influential companies to solve their most complex business challenges using the latest advances in AI.
People who thrive at DeployCo get excited about ambitious and complex work. We are deep believers in the future with AI. We execute quickly, value intellectual honesty, and obsess over the solutions we build for our customers.
DeployCo is being built from the ground up as a subsidiary of OpenAI and funded with a partnership of outside investors.
About the Role
We are seeking a Corporate Counsel Lead to build and lead DeployCo’s legal function from inception through scale. This leader will establish the legal infrastructure required to operate a global services organization closely aligned with OpenAI, while staying close enough to the work to unblock commercial execution in real time.
Initially, this role will operate as a player-coach, partnering with OpenAI Legal to support commercial contracting, corporate governance, and regulatory frameworks. Over time, you will build an independent legal organization capable of supporting global operations, M&A, and investor requirements without becoming a bottleneck.
You will serve as a strategic advisor to DeployCo’s executive team, ensuring legal risk is managed while enabling rapid commercial execution and growth.
Your day-to-day will include negotiating customer agreements, drafting practical policies, managing outside counsel, cleaning up contracting processes, advising executives, and doing the detailed legal work required to keep a new company moving.
Success in this role will look like a legal function that protects DeployCo, earns trust with OpenAI and investors, and helps teams move faster because the rules are clear and usable.
In this role, you will:
Build and lead DeployCo’s legal function across commercial, corporate, employment, and regulatory matters.
Draft and negotiate complex enterprise customer and partner agreements.
Establish governance structures, policies, and compliance frameworks that are rigorous, usable, and built for speed.
Support corporate structuring, financing, and investor-related matters.
Lead legal diligence and integration efforts for M&A transactions.
Manage intercompany agreements and shared services with OpenAI.
Develop scalable contracting processes and risk management frameworks.
Manage outside counsel relationships globally.
Advise executives on legal risk and strategic decision-making.
You may thrive in this role if you:
Have 12–15+ years of legal experience in technology, professional services, or corporate environments.
Bring strong experience in commercial contracting and corporate governance.
Have experience supporting high-growth or PE-backed companies.
Are comfortable operating as the first legal leader in a new organization.
Thrive in fast-paced, ambiguous environments.
Balance pragmatic risk management with business enablement, and are willing to draft, negotiate, document, and chase details yourself.
The OpenAI Deployment Company (“DeployCo”) is the deployment arm of OpenAI, purpose-built to deliver enterprise AI transformation at scale. As model capabilities accelerate, deployment has become the primary constraint to realizing AI value creation within large enterprises. DeployCo bridges that gap.
Our ambition is to build the company that defines AI deployment. We operate at the intersection of cutting-edge AI, enterprise transformation, and scaled services delivery. We partner with enterprise customers to identify where AI can transform their businesses and build solutions leveraging OpenAI’s models and products. We work with many of the world's largest and most influential companies to solve their most complex business challenges using the latest advances in AI.
People who thrive at DeployCo get excited about ambitious and complex work. We are deep believers in the future with AI. We execute quickly, value intellectual honesty, and obsess over the solutions we build for our customers.
DeployCo is being built from the ground up as a subsidiary of OpenAI and funded with a partnership of outside investors.
We are seeking a Revenue Operations Lead to build the commercial operating system for DeployCo from inception through scale. This is a foundational role responsible for turning a high-ambiguity enterprise deployment motion into a repeatable, data-driven, AI-native revenue engine.
This role is not a conventional RevOps support function. You will be expected to operate as a strategic partner to DeployCo leadership, an architect of systems and process, and a hands-on builder who can turn ambiguous commercial questions into clear operating mechanisms. You will own the rhythms, metrics, workflows, and source-of-truth systems that allow DeployCo to scale across OpenAI-sourced opportunities, DeployCo-originated enterprise demand, partner-led deployments, renewals, expansions, and new commercial motions.
Initially, this role will operate as a player-coach. You will build the first versions of the pipeline and forecast process, account staffing model, qualification standards, executive business reviews, deal governance, customer lifecycle reporting, and revenue planning infrastructure. Over time, you will grow a Revenue Operations organization that can support a large, global, high-performance AI deployment business without losing speed or precision.
Your day-to-day will include designing operating rhythms, pressure-testing pipeline quality, building executive-ready reporting, running cross-functional planning processes, partnering with Finance on targets and capacity, working with Legal and Finance on deal desk and quote-to-cash workflows, identifying gaps in field execution, and building AI-native systems that reduce manual coordination and improve decision quality.
You will partner closely with DeployCo's CEO, GTM leadership, OpenAI GTM, Finance, Legal, Product, Delivery, Data, and Systems teams.
Build and own DeployCo's Revenue Operations function, including GTM planning, forecasting, pipeline governance, capacity planning, compensation operations, revenue analytics, deal operations, and commercial systems.
Design, build, and manage the core operating rhythms for the business, including forecasting, pipeline council, deal reviews, MBRs/QBRs, board/investor reporting inputs, and executive operating reviews.
Own the source of truth for the commercial funnel, from opportunity intake through qualification, scoping, proposal, contracting, deployment, and expansion.
Partner with Finance and GTM leadership to translate company goals into segment-level targets, coverage models, hiring plans, productivity assumptions, and investment priorities.
Stand up the CRM and adjacent GTM systems architecture, ensuring clean data, strong process governance, scalable workflows, and reliable reporting for leaders and operators.
Translate recurring customer, field, and delivery patterns into structured inputs for product, enablement, partner strategy, and operating-model decisions.
Identify the highest-leverage operational constraints in the business and drive them to resolution across Sales, OpenAI GTM, Delivery, Product, Finance, Legal, Data, and Systems.
Build executive-grade dashboards and operating readouts that make performance, risks, tradeoffs, and priorities clear to DeployCo leadership, OpenAI leadership, and investors.
Have built your career at the intersection of strategy, analytics, and operations, with experience across GTM Strategy & Operations, Business Operations, Strategic Finance, Revenue Strategy, Revenue Operations, or similarly analytical roles in high-growth technology businesses. You may have started your career in consulting, banking, finance, engineering, or another analytically rigorous environment before moving into operating roles.
Have built or materially scaled a commercial operating system in a high-ambiguity environment, ideally where the company was still defining its segments, motions, metrics, systems, and operating cadences.
Have personally owned complex commercial analyses and strategic decisions — such as pricing and packaging, segmentation, capacity and coverage models, unit economics, investment decisions, or GTM design — and can translate rigorous analysis into a clear recommendation and operating plan.
Are exceptionally analytical and comfortable doing the work yourself. You can structure ambiguous business questions, interrogate messy data, build rigorous analyses and models, and use them to drive decisions with senior leadership.
Bring strong judgment across GTM strategy, operating models, target setting, capacity planning, forecasting, pipeline management, and executive reporting.
Can both architect and critically evaluate commercial systems. You have made consequential decisions around CRM and GTM architecture, including evaluating tools, designing data models and workflows, leading implementations or migrations, and establishing the governance required to make those systems reliable.
Have a track record of increasing scope and responsibility, including stepping into ambiguous or underbuilt environments and leaving behind stronger systems, processes, and organizations.
Understand complex enterprise sales and delivery motions, including multi-stakeholder buying committees, services-heavy deployments, partner involvement, custom scopes, non-standard deal structures, and long implementation cycles.
Can move fluidly between strategy and execution: you are equally comfortable defining the long-term commercial operating model, analyzing a strategic business question, and fixing the workflow, forecast, dashboard, or data issue blocking a decision today.
Have executive presence and can influence senior stakeholders across technical and non-technical teams with clarity, rigor, and a best-for-the-business mindset.
Thrive in fast-moving, ambiguous environments with frequent context switching, expansive ownership, and a high bar for output quality.
Are energized by the opportunity to define how AI-native revenue operations should work inside the company built to define enterprise AI deployment.
About the Company
The OpenAI Deployment Company (\"DeployCo\") is the deployment arm of OpenAI, purpose-built to deliver enterprise AI transformation at scale. As model capabilities accelerate, deployment has become the primary constraint to realizing AI value creation within large enterprises. DeployCo bridges that gap.
Our ambition is to build the company that defines AI deployment. We operate at the intersection of cutting-edge AI, enterprise transformation, and scaled services delivery. We partner with enterprise customers to identify where AI can transform their businesses and build solutions leveraging OpenAI's models and products. We work with many of the world's largest and most influential companies to solve their most complex business challenges using the latest advances in AI.
People who thrive at DeployCo get excited about ambitious and complex work. We are deep believers in the future with AI. We execute quickly, value intellectual honesty and empathy, and obsess over the solutions we build for our customers.
DeployCo is being built from the ground up as a subsidiary of OpenAI and funded with a partnership of outside investors.
About the Role
We are seeking a Forward Deployed Engineer to lead the design, build, and deployment of enterprise AI systems. In this role, you will operate as a senior technical owner across customer engagements, shaping architecture, setting engineering standards, and helping teams move from prototypes to durable production AI systems. DeployCo is one of the few places where engineers can work with the autonomy of a small startup while building for the scale, complexity, and impact of the world’s largest enterprises.
Your day-to-day will include leading technical discovery, designing solution architecture, building production-grade agentic AI applications, mentoring engineers, evaluating model behavior, and translating field learning into reusable platform and delivery patterns. We typically use existing closed- and open-source foundation models, including OpenAI models and APIs, and focus on turning state-of-the-art capabilities into reliable products.
We're looking for engineers who deploy high-quality agentic systems into real customer workflows and business critical decisions and deliver reusable components that help future deployments move faster.
This role is based in the UK, with hybrid work and customer travel shaped by deployment needs.
In this role, you will:
Lead software engineering workstreams for customer deployments, owning architecture, implementation quality, evaluation strategy, and production readiness for LLM-powered systems.
Build AI applications, agents, and workflow tools using LLMs, retrieval, orchestration, APIs, data systems, and production software practices.
Guide engineers through ambiguous technical problems, reviewing designs, code, tradeoffs, and operating assumptions.
Work directly with customer technical teams and business stakeholders to translate workflows into reliable AI systems.
Prototype quickly, identify what is reusable, and harden successful patterns into reference architectures and implementation assets.
Design evaluation and monitoring approaches that improve quality, reliability, safety, and customer trust.
Surface field insights to Product and Research, connecting deployment reality to roadmap priorities and model/system improvements.
You may thrive in this role if you:
Bring senior software engineering experience building production applications and microservices, including APIs, scalable data pipelines, data systems, and cloud infrastructure.
Use your expertise in Python and SQL to design and build robust data applications in enterprise environments.
Bring production LLM experience, including leading teams delivering generative AI systems with hands-on understanding in agents, retrieval, evaluation, fine-tuning, prompt engineering, and model integration.
Have led software engineering projects from prototype to production and can set a high-quality bar while keeping teams moving quickly.
Are comfortable as a hands-on player-coach: writing code, reviewing designs, mentoring engineers, and owning customer outcomes.
Communicate clearly with executive, product, research, customer, and engineering audiences when decisions involve risk or ambiguity.
Make disciplined standardization-versus-customization decisions instead of defaulting to bespoke work.
Operate calmly under pressure and turn messy deployment problems into practical, reusable engineering patterns.
About the Company
The OpenAI Deployment Company (\"DeployCo\") is the deployment arm of OpenAI, purpose-built to deliver enterprise AI transformation at scale. As model capabilities accelerate, deployment has become the primary constraint to realizing AI value creation within large enterprises. DeployCo bridges that gap.
Our ambition is to build the company that defines AI deployment. We operate at the intersection of cutting-edge AI, enterprise transformation, and scaled services delivery. We partner with enterprise customers to identify where AI can transform their businesses and build solutions leveraging OpenAI's models and products. We work with many of the world's largest and most influential companies to solve their most complex business challenges using the latest advances in AI.
People who thrive at DeployCo get excited about ambitious and complex work. We are deep believers in the future with AI. We execute quickly, value intellectual honesty and empathy, and obsess over the solutions we build for our customers.
DeployCo is being built from the ground up as a subsidiary of OpenAI and funded with a partnership of outside investors.
About the Role
We are seeking a Senior Applied AI Software Engineer to lead the design, build, and deployment of enterprise AI systems. In this role, you will operate as a senior technical owner across customer engagements, shaping architecture, setting engineering standards, and helping teams move from prototypes to durable production AI systems. DeployCo is one of the few places where engineers can work with the autonomy of a small startup while building for the scale, complexity, and impact of the world’s largest enterprises.
Your day-to-day will include leading technical discovery, designing solution architecture, building production-grade agentic AI applications, mentoring engineers, evaluating model behavior, and translating field learning into reusable platform and delivery patterns. We typically use existing closed- and open-source foundation models, including OpenAI models and APIs, and focus on turning state-of-the-art capabilities into reliable products.
We're looking for engineers who deploy high-quality agentic systems into real customer workflows and business critical decisions and deliver reusable components that help future deployments move faster.
This role is based in the France, with hybrid work and customer travel shaped by deployment needs.
In this role, you will:
Lead software engineering workstreams for customer deployments, owning architecture, implementation quality, evaluation strategy, and production readiness for LLM-powered systems.
Build AI applications, agents, and workflow tools using LLMs, retrieval, orchestration, APIs, data systems, and production software practices.
Guide engineers through ambiguous technical problems, reviewing designs, code, tradeoffs, and operating assumptions.
Work directly with customer technical teams and business stakeholders to translate workflows into reliable AI systems.
Prototype quickly, identify what is reusable, and harden successful patterns into reference architectures and implementation assets.
Design evaluation and monitoring approaches that improve quality, reliability, safety, and customer trust.
Surface field insights to Product and Research, connecting deployment reality to roadmap priorities and model/system improvements.
You may thrive in this role if you:
Bring senior software engineering experience building production applications and microservices, including APIs, scalable data pipelines, data systems, and cloud infrastructure.
Use your expertise in Python and SQL to design and build robust data applications in enterprise environments.
Bring production LLM experience, including leading teams delivering generative AI systems with hands-on understanding in agents, retrieval, evaluation, fine-tuning, prompt engineering, and model integration.
Have led software engineering projects from prototype to production and can set a high-quality bar while keeping teams moving quickly.
Are comfortable as a hands-on player-coach: writing code, reviewing designs, mentoring engineers, and owning customer outcomes.
Communicate clearly with executive, product, research, customer, and engineering audiences when decisions involve risk or ambiguity.
Make disciplined standardization-versus-customization decisions instead of defaulting to bespoke work.
● Operate calmly under pressure and turn messy deployment problems into practical, reusable engineering patterns.
About the Company
The OpenAI Deployment Company (\"DeployCo\") is the deployment arm of OpenAI, purpose-built to deliver enterprise AI transformation at scale. As model capabilities accelerate, deployment has become the primary constraint to realizing AI value creation within large enterprises. DeployCo bridges that gap.
Our ambition is to build the company that defines AI deployment. We operate at the intersection of cutting-edge AI, enterprise transformation, and scaled services delivery. We partner with enterprise customers to identify where AI can transform their businesses and build solutions leveraging OpenAI's models and products. We work with many of the world's largest and most influential companies to solve their most complex business challenges using the latest advances in AI.
People who thrive at DeployCo get excited about ambitious and complex work. We are deep believers in the future with AI. We execute quickly, value intellectual honesty and empathy, and obsess over the solutions we build for our customers.
DeployCo is being built from the ground up as a subsidiary of OpenAI and funded with a partnership of outside investors.
About the Role
We are seeking a Senior Applied AI Software Engineer to lead the design, build, and deployment of enterprise AI systems. In this role, you will operate as a senior technical owner across customer engagements, shaping architecture, setting engineering standards, and helping teams move from prototypes to durable production AI systems. DeployCo is one of the few places where engineers can work with the autonomy of a small startup while building for the scale, complexity, and impact of the world’s largest enterprises.
Your day-to-day will include leading technical discovery, designing solution architecture, building production-grade agentic AI applications, mentoring engineers, evaluating model behavior, and translating field learning into reusable platform and delivery patterns. We typically use existing closed- and open-source foundation models, including OpenAI models and APIs, and focus on turning state-of-the-art capabilities into reliable products.
We're looking for engineers who deploy high-quality agentic systems into real customer workflows and business critical decisions and deliver reusable components that help future deployments move faster.
This role is based in Singapore, with hybrid work and customer travel shaped by deployment needs.
In this role, you will:
Lead software engineering workstreams for customer deployments, owning architecture, implementation quality, evaluation strategy, and production readiness for LLM-powered systems.
Build AI applications, agents, and workflow tools using LLMs, retrieval, orchestration, APIs, data systems, and production software practices.
Guide engineers through ambiguous technical problems, reviewing designs, code, tradeoffs, and operating assumptions.
Work directly with customer technical teams and business stakeholders to translate workflows into reliable AI systems.
Prototype quickly, identify what is reusable, and harden successful patterns into reference architectures and implementation assets.
Design evaluation and monitoring approaches that improve quality, reliability, safety, and customer trust.
Surface field insights to Product and Research, connecting deployment reality to roadmap priorities and model/system improvements.
You may thrive in this role if you:
Bring senior software engineering experience building production applications and microservices, including APIs, scalable data pipelines, data systems, and cloud infrastructure.
Use your expertise in Python and SQL to design and build robust data applications in enterprise environments.
Bring production LLM experience, including leading teams delivering generative AI systems with hands-on understanding in agents, retrieval, evaluation, fine-tuning, prompt engineering, and model integration.
Have led software engineering projects from prototype to production and can set a high-quality bar while keeping teams moving quickly.
Are comfortable as a hands-on player-coach: writing code, reviewing designs, mentoring engineers, and owning customer outcomes.
Communicate clearly with executive, product, research, customer, and engineering audiences when decisions involve risk or ambiguity.
Make disciplined standardization-versus-customization decisions instead of defaulting to bespoke work.
Operate calmly under pressure and turn messy deployment problems into practical, reusable engineering patterns.
About the Company
The OpenAI Deployment Company (\"DeployCo\") is the deployment arm of OpenAI, purpose-built to deliver enterprise AI transformation at scale. As model capabilities accelerate, deployment has become the primary constraint to realizing AI value creation within large enterprises. DeployCo bridges that gap.
Our ambition is to build the company that defines AI deployment. We operate at the intersection of cutting-edge AI, enterprise transformation, and scaled services delivery. We partner with enterprise customers to identify where AI can transform their businesses and build solutions leveraging OpenAI's models and products. We work with many of the world's largest and most influential companies to solve their most complex business challenges using the latest advances in AI.
People who thrive at DeployCo get excited about ambitious and complex work. We are deep believers in the future with AI. We execute quickly, value intellectual honesty and empathy, and obsess over the solutions we build for our customers.
DeployCo is being built from the ground up as a subsidiary of OpenAI and funded with a partnership of outside investors.
About the Role
We are seeking a Corporate Development Deal and Integration Lead to own DeployCo's inorganic growth agenda from strategy through integration. This is a foundational role that will operate as both transaction lead and integration architect: leading evaluation, diligence, structuring, negotiation, and close for acquisitions, while also building the integration muscle that turns deals into durable operating leverage.
This role will establish the playbooks, governance, and cross-functional operating model for future tuck-in acquisitions over the next several years. You will serve as a strategic partner to DeployCo's executive team and functional leaders across Delivery, Forward Deployed Engineering, Finance, Legal, People, IT, Recruiting, and OpenAI, helping ensure each deal strengthens DeployCo's capabilities, operating model, and long-term value creation.
In this role, you will:
Own end-to-end execution of DeployCo acquisitions, from thesis development and sourcing through diligence, valuation, negotiation, signing, and close.
Lead integration planning before sign and run post-close integration for DeployCo deals, including org design, talent retention, communications, systems/process integration, and value capture tracking.
Collaborate with OpenAI XFN stakeholders, including OpenAI Corp Dev team to share pipeline, socialize deal constructs and prepare OpenAI stakeholders with relevant context around DeployCo deals and integration operations
Partner with DeployCo and OpenAI leaders to identify inorganic priorities across talent, delivery capacity, geographic expansion, and new deployment capabilities.
Build board- and executive-ready materials, decision frameworks, and recommendations that balance strategic upside, operational risk, and financial discipline.
Work cross-functionally with Finance, Legal, People, IT, Security, Recruiting, and delivery leadership to manage diligence, structure transactions, and drive clean handoffs into execution.
Maintain a high-quality pipeline of tuck-ins and occasional larger opportunities, and continuously refine DeployCo's corp dev strategy as the business scales.
You may thrive in this role if you:
Have 10+ years of experience across corporate development, M&A, private equity, investment banking, or strategic finance, with clear ownership of transactions from initial outreach through close and integration.
Have led complex integrations and understand how to translate a signed deal into org clarity, retained talent, delivery continuity, and measurable value capture.
Are comfortable operating as a player-coach in a newly formed company: setting strategy and operating model while also doing the hands-on work to keep deals and integrations moving.
Combine strong financial and commercial judgment with practical operational instincts across services delivery, technical talent, organizational design, and change management.
Build trust quickly with founders, executives, and cross-functional partners, and communicate clearly when tradeoffs involve valuation, risk, scope, speed, or people impact.
Are excited about AI deployment and understand what capabilities, teams, and delivery models matter in building the company that defines AI deployment.
About the Company
The OpenAI Deployment Company (\"DeployCo\") is the deployment arm of OpenAI, purpose-built to deliver enterprise AI transformation at scale. As model capabilities accelerate, deployment has become the primary constraint to realizing AI value creation within large enterprises. DeployCo bridges that gap.
Our ambition is to build the company that defines AI deployment. We operate at the intersection of cutting-edge AI, enterprise transformation, and scaled services delivery. We partner with enterprise customers to identify where AI can transform their businesses and build solutions leveraging OpenAI's models and products. We work with many of the world's largest and most influential companies to solve their most complex business challenges using the latest advances in AI.
People who thrive at DeployCo get excited about ambitious and complex work. We are deep believers in the future with AI. We execute quickly, value intellectual honesty and empathy, and obsess over the solutions we build for our customers.
DeployCo is being built from the ground up as a subsidiary of OpenAI and funded with a partnership of outside investors.
About the Role
We are seeking a Senior Applied AI Software Engineer to lead the design, build, and deployment of enterprise AI systems. In this role, you will operate as a senior technical owner across customer engagements, shaping architecture, setting engineering standards, and helping teams move from prototypes to durable production AI systems. DeployCo is one of the few places where engineers can work with the autonomy of a small startup while building for the scale, complexity, and impact of the world’s largest enterprises.
Your day-to-day will include leading technical discovery, designing solution architecture, building production-grade agentic AI applications, mentoring engineers, evaluating model behavior, and translating field learning into reusable platform and delivery patterns. We typically use existing closed- and open-source foundation models, including OpenAI models and APIs, and focus on turning state-of-the-art capabilities into reliable products.
We're looking for engineers who deploy high-quality agentic systems into real customer workflows and business critical decisions and deliver reusable components that help future deployments move faster.
This role is based in Australia, with hybrid work and customer travel shaped by deployment needs.
In this role, you will:
Lead software engineering workstreams for customer deployments, owning architecture, implementation quality, evaluation strategy, and production readiness for LLM-powered systems.
Build AI applications, agents, and workflow tools using LLMs, retrieval, orchestration, APIs, data systems, and production software practices.
Guide engineers through ambiguous technical problems, reviewing designs, code, tradeoffs, and operating assumptions.
Work directly with customer technical teams and business stakeholders to translate workflows into reliable AI systems.
Prototype quickly, identify what is reusable, and harden successful patterns into reference architectures and implementation assets.
Design evaluation and monitoring approaches that improve quality, reliability, safety, and customer trust.
Surface field insights to Product and Research, connecting deployment reality to roadmap priorities and model/system improvements.
You may thrive in this role if you:
Bring senior software engineering experience building production applications and microservices, including APIs, scalable data pipelines, data systems, and cloud infrastructure.
Use your expertise in Python and SQL to design and build robust data applications in enterprise environments.
Bring production LLM experience, including leading teams delivering generative AI systems with hands-on understanding in agents, retrieval, evaluation, fine-tuning, prompt engineering, and model integration.
Have led software engineering projects from prototype to production and can set a high-quality bar while keeping teams moving quickly.
Are comfortable as a hands-on player-coach: writing code, reviewing designs, mentoring engineers, and owning customer outcomes.
Communicate clearly with executive, product, research, customer, and engineering audiences when decisions involve risk or ambiguity.
Make disciplined standardization-versus-customization decisions instead of defaulting to bespoke work.
Operate calmly under pressure and turn messy deployment problems into practical, reusable engineering patterns.
About the Company
The OpenAI Deployment Company (“DeployCo”) is the deployment arm of OpenAI, purpose-built to deliver enterprise AI transformation at scale. As model capabilities accelerate, deployment has become the primary constraint to realizing AI value creation within large enterprises. DeployCo bridges that gap.
Our ambition is to build the company that defines AI deployment. We operate at the intersection of cutting-edge AI, enterprise transformation, and scaled services delivery. We partner with enterprise customers to identify where AI can transform their businesses and build solutions leveraging OpenAI’s models and products. We work with many of the world's largest and most influential companies to solve their most complex business challenges using the latest advances in AI.
People who thrive at DeployCo get excited about ambitious and complex work. We are deep believers in the future with AI. We execute quickly, value intellectual honesty, and obsess over the solutions we build for our customers.
DeployCo is being built from the ground up as a subsidiary of OpenAI and funded with a partnership of outside investors.
About the Role
We are seeking a Principal - Strategic Accounts to build and grow DeployCo’s most important customer relationships. You will work closely with OpenAI account teams, customer leaders, and DeployCo’s technical teams to understand business priorities, identify transformational applications of AI, and shape engagements that deliver measurable results.
Your focus will be on developing commercial opportunities and relationships: qualifying opportunities, building the business case, coordinating discovery and scoping, and guiding engagements through commercial agreement into deployment. As customers see results, you will help identify where DeployCo can deepen its impact.
This role combines strategic problem-solving, customer partnership, and commercial ownership. Success means shaping high-impact customer engagements, building trusted customer relationships, and growing those relationships through demonstrated value.
In this role you will:
Build relationships with senior enterprise leaders, understanding their priorities, operating constraints, and opportunities for frontier AI deployment
Partner with OpenAI account teams to understand customer context and develop opportunities introduced to DeployCo
Lead qualification and discovery, bringing in technical and deployment colleagues to assess feasibility and define scope
Lead the commercial process with customers, working with legal, finance, and deployment teams, ensuring expectations and commitments are clear
Bring customer insights back into DeployCo’s approach to qualification, engagement design, and account development
You may thrive in this role if you:
Take ownership in ambiguous environments, moving comfortably between long-term account development and the detail needed to advance an engagement
Can turn customer ambition into a clear problem, a credible scope, and an actionable next step
Have shaped and delivered complex customer engagements, bringing together senior stakeholders, technical teams, and commercial considerations
Build trust with customers by understanding their business, exercising sound judgment, and following through on commitments
Communicate clearly with senior executives and coordinate effectively across teams with different priorities
Bring a rigorous quantitative foundation through education or professional experience
About the Company
The OpenAI Deployment Company (“DeployCo”) is the deployment arm of OpenAI, purpose-built to deliver enterprise AI transformation at scale. As model capabilities accelerate, deployment has become the primary constraint to realizing AI value creation within large enterprises. DeployCo bridges that gap.
Our ambition is to build the company that defines AI deployment. We operate at the intersection of cutting-edge AI, enterprise transformation, and scaled services delivery. We partner with enterprise customers to identify where AI can transform their businesses and build solutions leveraging OpenAI’s models and products. We work with many of the world's largest and most influential companies to solve their most complex business challenges using the latest advances in AI.
People who thrive at DeployCo get excited about ambitious and complex work. We are deep believers in the future with AI. We execute quickly, value intellectual honesty, and obsess over the solutions we build for our customers.
DeployCo is being built from the ground up as a subsidiary of OpenAI and funded with a partnership of outside investors.
About the Role
As a Forward Deployed Engineer, you will operate as a technical lead on high-stakes, ambiguous customer cybersecurity deployments and own both technical and business value outcomes end-to-end. You will set the bar for customer engagement and deployments of our technology, helping establish the foundation for OpenAI Deployment.
You will ramp quickly toward management responsibilities and help grow a team that can operate under pressure to deliver meaningful outcomes for customers.
You will also help shape how AI can be leveraged to drive real-world impact, as well as how the team organizes to deliver that impact. You will partner closely with OpenAI’s core functions to ensure field work informs roadmap priorities, drives new exploration, and supports safe deployment at scale.
This role is based in San Francisco or New York City. We use a hybrid work model with three days per week in the office and offer relocation assistance. This role will also require up to 50% travel.
In this role, you will:
Act as the technical lead for customer engagements, owning problems end-to-end from definition to resolution
Operate with strong agency, delivering outcomes through clarity, speed, tight coordination, and high technical quality
Guide deployment strategy and help define DeployCo’s operating model for swift, safe execution
Define and build deployment primitives that increase both customer impact and engagement velocity
Build and evaluate AI security workflows, integrating customer security systems with appropriate access controls and human oversight
Operate as a player-coach, setting a high bar for execution while helping grow the team through direct, actionable feedback
Codify successful patterns into tools, playbooks, and roadmap inputs that create leverage for DeployCo
Identify early signals and escalate them with urgency, whether in product behavior, customer environments, or delivery practices
You may thrive in this role if you:
Bring 4+ years of engineering experience
Can credibly discuss both established and emerging threats, including AI-enabled attack and defense, translating them into practical detection and response workflows for both practitioners and customer leadership
Have 0→1 experience building reusable capabilities under ambiguity, and can make disciplined standardization-versus-customization decisions instead of defaulting to bespoke work
Have built and deployed cybersecurity solutions in Fortune 500 or similarly complex enterprises, from prototype to production
Write and review production-grade code across frontend and backend using JavaScript or Python
Simplify complex work and make fast, sound decisions under pressure
Elevate team performance through clarity rather than process overhead
Operate with urgency in ambiguous or evolving environments
Translate field experience into clear, actionable feedback for Product and Research
Build deep trust with teammates by modeling calm, focus, and strong judgment when it matters most
The OpenAI Deployment Company (“DeployCo”) is the deployment arm of OpenAI, purpose-built to deliver enterprise AI transformation at scale. As model capabilities accelerate, deployment has become the primary constraint to realizing AI value within large enterprises. DeployCo bridges that gap.
Our ambition is to build the company that defines AI deployment. We operate at the intersection of frontier AI, enterprise transformation, and scaled services delivery. We partner with some of the world’s largest and most influential companies to identify where AI can transform their businesses and build solutions using OpenAI’s models and products.
People who thrive at DeployCo get excited about ambitious and complex work. We are deep believers in the future with AI. We execute quickly, value intellectual honesty and empathy, and obsess over the solutions we build for our customers.
DeployCo is being built from the ground up as a subsidiary of OpenAI and funded through a partnership with outside investors.
Some teams have already developed something difficult to recreate through individual hiring: a proven way of working together.
You know how one another thinks. You can challenge an idea without slowing the work down. You divide ambiguous problems quickly, raise each other’s standards and keep moving when the answer is not obvious. Earned trust, direct communication and clear ownership are key to succeeding at DeployCo.
If you are part of an established team of two to five people, we invite you to apply to DeployCo together. You might be former founders deciding what to build next, a product team affected by a restructure or a group of colleagues who know their best work happens alongside one another.
DeployCo works in small, multidisciplinary teams that take enterprise AI systems from an important problem to production. Applying together helps us understand what you have achieved as a group and how you work with other people.
We hire and assign each person individually, placing them where their skills can have the greatest impact. People who apply together may work on different deployments, with different colleagues and for different customers from the outset.
Your team might include software, data or machine learning engineers alongside technical product or delivery leaders. We care less about a prescribed combination of titles than whether you have demonstrated that you can solve hard problems and ship high-quality products together.
Own complex AI deployments from technical discovery through production and adoption.
Build agentic applications and workflow tools using OpenAI models, APIs, retrieval, orchestration, data systems and production software practices.
Work directly with customer teams to understand important workflows and turn ambiguity into practical systems.
Make clear decisions about architecture, evaluation, reliability, safety and production readiness.
Prototype quickly, test assumptions with real users and harden successful ideas into durable products.
Identify what can be reused across deployments and turn field experience into stronger engineering and delivery patterns.
Share what you learn with DeployCo’s Product and Research partners, connecting deployment reality to future model and product improvements.
You are an established group of two to five people who have already delivered meaningful work together.
You bring complementary strengths across engineering, product, data, AI or technical delivery.
You have taken at least one complex product or system from an unclear starting point to a real production outcome.
Every member of the team is exceptional in their own discipline. A strong team is not a substitute for strong individual contributors.
You are comfortable remaining hands-on while taking collective ownership of the outcome.
You communicate clearly, disagree constructively and change your minds when the evidence demands it.
You can work closely with customer stakeholders without losing technical ambition or delivery pace.
You operate calmly in complex environments and do not need perfect conditions to do great work.
You care about leaving behind reliable systems rather than impressive prototypes.
We will consider teams with different levels of seniority and experience. Each person will be assessed against the requirements of the DeployCo role that best matches their skills.
Submit one application for the team. Tell us who you are, how you have worked together, what you have built and why you want your next chapter to be at DeployCo.
We will coordinate the interview process for everyone who applies together. It will include individual conversations and technical assessment, alongside a working session designed to understand how you solve problems together.
Every person will be assessed individually and held to the same bar as other DeployCo candidates for the relevant role. We will also consider what your shared experience shows about how you collaborate, learn and deliver.
We will communicate decisions on a coordinated timeline. Each person will be hired into an individual role and will receive individual employment terms and an individual offer. Applying through this route does not determine which deployment you join or who you will work with after you start.
Compensation will be determined individually according to each team member’s role, level, location, skills and experience. Eligible offers include equity.
","descriptionPlain":"ABOUT THE COMPANY\n\nThe OpenAI Deployment Company (“DeployCo”) is the deployment arm of OpenAI, purpose-built to deliver enterprise AI transformation at scale. As model capabilities accelerate, deployment has become the primary constraint to realizing AI value within large enterprises. DeployCo bridges that gap.\n\nOur ambition is to build the company that defines AI deployment. We operate at the intersection of frontier AI, enterprise transformation, and scaled services delivery. We partner with some of the world’s largest and most influential companies to identify where AI can transform their businesses and build solutions using OpenAI’s models and products.\n\nPeople who thrive at DeployCo get excited about ambitious and complex work. We are deep believers in the future with AI. We execute quickly, value intellectual honesty and empathy, and obsess over the solutions we build for our customers.\n\nDeployCo is being built from the ground up as a subsidiary of OpenAI and funded through a partnership with outside investors.\n\n\n\n\nABOUT APPLYING WITH YOUR TEAM\n\nSome teams have already developed something difficult to recreate through individual hiring: a proven way of working together.\n\nYou know how one another thinks. You can challenge an idea without slowing the work down. You divide ambiguous problems quickly, raise each other’s standards and keep moving when the answer is not obvious. Earned trust, direct communication and clear ownership are key to succeeding at DeployCo.\n\nIf you are part of an established team of two to five people, we invite you to apply to DeployCo together. You might be former founders deciding what to build next, a product team affected by a restructure or a group of colleagues who know their best work happens alongside one another.\n\nDeployCo works in small, multidisciplinary teams that take enterprise AI systems from an important problem to production. Applying together helps us understand what you have achieved as a group and how you work with other people.\n\nWe hire and assign each person individually, placing them where their skills can have the greatest impact. People who apply together may work on different deployments, with different colleagues and for different customers from the outset.\n\nYour team might include software, data or machine learning engineers alongside technical product or delivery leaders. We care less about a prescribed combination of titles than whether you have demonstrated that you can solve hard problems and ship high-quality products together.\n\n\n\n\nAT DEPLOYCO, YOU WILL:\n\n - Own complex AI deployments from technical discovery through production and adoption.\n\n - Build agentic applications and workflow tools using OpenAI models, APIs, retrieval, orchestration, data systems and production software practices.\n\n - Work directly with customer teams to understand important workflows and turn ambiguity into practical systems.\n\n - Make clear decisions about architecture, evaluation, reliability, safety and production readiness.\n\n - Prototype quickly, test assumptions with real users and harden successful ideas into durable products.\n\n - Identify what can be reused across deployments and turn field experience into stronger engineering and delivery patterns.\n\n - Share what you learn with DeployCo’s Product and Research partners, connecting deployment reality to future model and product improvements.\n\n\nYOU MAY BE A STRONG FIT FOR THIS ROUTE IF:\n\n - You are an established group of two to five people who have already delivered meaningful work together.\n\n - You bring complementary strengths across engineering, product, data, AI or technical delivery.\n\n - You have taken at least one complex product or system from an unclear starting point to a real production outcome.\n\n - Every member of the team is exceptional in their own discipline. A strong team is not a substitute for strong individual contributors.\n\n - You are comfortable remaining hands-on while taking collective ownership of the outcome.\n\n - You communicate clearly, disagree constructively and change your minds when the evidence demands it.\n\n - You can work closely with customer stakeholders without losing technical ambition or delivery pace.\n\n - You operate calmly in complex environments and do not need perfect conditions to do great work.\n\n - You care about leaving behind reliable systems rather than impressive prototypes.\n\nWe will consider teams with different levels of seniority and experience. Each person will be assessed against the requirements of the DeployCo role that best matches their skills.\n\n\n\n\nHOW THE PROCESS WORKS\n\n\n\n\nAPPLY TOGETHER\n\nSubmit one application for the team. Tell us who you are, how you have worked together, what you have built and why you want your next chapter to be at DeployCo.\n\n\n\n\nINTERVIEW TOGETHER AND INDIVIDUALLY\n\nWe will coordinate the interview process for everyone who applies together. It will include individual conversations and technical assessment, alongside a working session designed to understand how you solve problems together.\n\nEvery person will be assessed individually and held to the same bar as other DeployCo candidates for the relevant role. We will also consider what your shared experience shows about how you collaborate, learn and deliver.\n\n\n\n\nRECEIVE A COORDINATED DECISION\n\nWe will communicate decisions on a coordinated timeline. Each person will be hired into an individual role and will receive individual employment terms and an individual offer. Applying through this route does not determine which deployment you join or who you will work with after you start.\n\n\n\n\nCOMPENSATION\n\nCompensation will be determined individually according to each team member’s role, level, location, skills and experience. Eligible offers include equity.","compensation":{"compensationTierSummary":"$170K – $400K • Offers Equity","scrapeableCompensationSalarySummary":"$170K - $400K","compensationTiers":[{"id":"a4107403-4f65-443f-9711-f44cdb2ee5ff","tierSummary":"$170K – $400K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"63bf8880-be25-4fa2-aa59-ef4902f13740","summary":"$170K – $400K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":170000,"maxValue":400000},{"id":"28ea0a81-a4f4-429b-92cd-80e6eb5d89ba","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":170000,"maxValue":400000},{"compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"fe030b5a-2372-4ccd-b932-c7c1cecbad58","title":"Global Real Estate and Workplace Operations Lead","department":"Operations","team":"Operations","employmentType":"FullTime","location":"New York","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Francisco","address":{"postalAddress":{"addressCountry":"United States"}}}],"publishedAt":"2026-10-16T17:38:17.088+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/openai-deployment-company/fe030b5a-2372-4ccd-b932-c7c1cecbad58","applyUrl":"https://jobs.ashbyhq.com/openai-deployment-company/fe030b5a-2372-4ccd-b932-c7c1cecbad58/application","descriptionHtml":"About the Company
The OpenAI Deployment Company (“DeployCo”) is the deployment arm of OpenAI, purpose-built to deliver enterprise AI transformation at scale. As model capabilities accelerate, deployment has become the primary constraint to realizing AI value creation within large enterprises. DeployCo bridges that gap.
Our ambition is to build the company that defines AI deployment. We operate at the intersection of cutting-edge AI, enterprise transformation, and scaled services delivery. We partner with enterprise customers to identify where AI can transform their businesses and build solutions leveraging OpenAI’s models and products. We work with many of the world's largest and most influential companies to solve their most complex business challenges using the latest advances in AI.
People who thrive at DeployCo get excited about ambitious and complex work. We are deep believers in the future with AI. We execute quickly, value intellectual honesty, and obsess over the solutions we build for our customers.
DeployCo is being built from the ground up as a subsidiary of OpenAI and funded with a partnership of outside investors.
About the Role
We are seeking a Global Real Estate Operations Lead to build and lead DeployCo’s global workplace operations function. You will set the long-term direction, shape the team and provider model, and own delivery across our international portfolio. As a partner to senior leadership, you will guide decisions about workplace investment, capacity, and the organization needed to support our growth.
This is a strategic, hands-on leadership role with substantial autonomy. Your focus will be workplace and facilities operations, with sufficient real estate and project expertise to oversee environmental health and safety, outsourced leasing, design, and construction. You will be accountable for dependable services today while building the capability to scale.
You will partner with business Site Leads for local insight while retaining accountability for operational delivery. You should be comfortable moving between a global operating plan, a difficult provider conversation, and an urgent facilities issue. You will coordinate with OpenAI’s Real Estate and Workplace team where relevant and build DeployCo’s own delivery capability.
In this role, you will:
Set and execute the global workplace operations strategy, translating business growth into service models, staffing, budgets, and operating standards.
Own workplace and facilities services across the portfolio, including maintenance, landlord relationships, health and safety coordination, employee services, and issue resolution.
Build and lead the global workplace operations team, starting with strong local site operations staff. Define responsibilities, develop leaders, and evolve the organization as the portfolio grows, enabling teams to make sound decisions and deliver independently.
Set consistent service expectations while adapting to local requirements, office size, and working patterns. Partner with business Site Leads on local context and priorities while your team owns delivery and workplace communications.
Establish a global workplace operations standard for DeployCo ensuring people receive a consistent and high value working experience.
Manage workplace and facilities providers, setting scopes, performance measures, commercial expectations, and escalation paths. Address recurring problems and hold partners accountable.
Lead workplace integration of acquired businesses and readiness for new offices, moves, and expansions, maintaining service continuity through each transition.
Oversee outsourced leasing, design, construction, and office projects. Assess specialist recommendations, coordinate approvals, and manage dependencies, budgets, risks, and operational handover.
Own workplace budget planning, forecasting, and reporting. Use utilization, service, and cost data to guide space and investment recommendations.
Build processes, tools, and playbooks that improve visibility and prevent recurring issues. Coordinate with cross-functional partners on safety readiness, office services, employee experiences, and onsite gatherings.
You may thrive in this role if you:
Have progressive experience leading workplace and facilities operations across multiple countries, with a record of building reliable services in a fast-moving environment.
Demonstrated ability to set an operating strategy, build scalable systems, and make sound decisions independently when information or resources are incomplete.
Strong people leadership, including hiring, coaching, delegation, and performance management across geographically dispersed teams.
Depth in provider and landlord management, financial planning, and operational performance, combined with a practical understanding of facilities and health and safety requirements.
Fluency in leasing, real estate transactions, design, and construction sufficient to question advice, recognize risks, and oversee specialist delivery.
Experience opening offices or managing significant workplace transitions, and clear communication with senior leaders, employees, and external partners.
Experience at a third-party facilities or real estate firm followed by in-house leadership at a fast-growing technology company, or equivalent paths demonstrating operational depth and the ability to build
Experience integrating acquired offices or supporting a distributed professional-services business
Experience in establishing and managing regional office sites globally taking into consideration regional work practices and operational nuances
About the Company
The OpenAI Deployment Company (“DeployCo”) is the deployment arm of OpenAI, purpose-built to deliver enterprise AI transformation at scale. As model capabilities accelerate, deployment has become the primary constraint to realizing AI value creation within large enterprises. DeployCo bridges that gap.
Our ambition is to build the company that defines AI deployment. We operate at the intersection of cutting-edge AI, enterprise transformation, and scaled services delivery. We partner with enterprise customers to identify where AI can transform their businesses and build solutions leveraging OpenAI’s models and products. We work with many of the world's largest and most influential companies to solve their most complex business challenges using the latest advances in AI.
People who thrive at DeployCo get excited about ambitious and complex work. We are deep believers in the future with AI. We execute quickly, value intellectual honesty, and obsess over the solutions we build for our customers.
DeployCo is being built from the ground up as a subsidiary of OpenAI and funded with a partnership of outside investors.
About the Role
We are seeking a Technical Deployment Lead to turn ambitious cybersecurity deployments into shipped, adopted systems. In this role, you will lead day-to-day technical delivery for complex engagements: translating business outcomes into technical plans, coordinating Forward Deployed Engineers (FDEs), researchers, customer engineers, Product, and customer teams, and carrying solutions from prototype through production adoption. This role will report to DeployCo delivery leadership and partner closely with Forward Deployed Engineering, Product, Research, Customer Success, Partnerships, and customer stakeholders.
You will partner with enterprise security teams to deploy AI across threat investigation, incident response, and vulnerability management.
Your day-to-day will be mapping customer workflows and success criteria, building delivery plans, tracking dependencies, sequencing workstreams, unblocking technical teams, making scope tradeoffs, communicating risks, and driving readiness and change management so deployed systems land in real workflows. You will also codify reusable patterns, surface field insights, and help turn complex deployments into repeatable operating muscle.
Success in this role will look like deployments that deliver measurable customer value, reach production reliably, drive adoption, and produce reusable patterns for future engagements. You will be measured by delivery reliability, quality of technical execution, customer trust, operating leverage, judgment under pressure, and the strength of field signal shared back to Product and Research.
In this role, you will:
Own technical delivery plans for customer workstreams, translating business objectives into milestones, dependencies, acceptance criteria, and operating rhythms.
Run day-to-day execution across DeployCo, OpenAI, and customer teams, keeping work sequenced, risks visible, blockers resolved, and critical paths protected.
Embed with customer security teams and relevant business and technology functions to map workflows, shape requirements, and ensure solutions are adopted in production.
Partner with FDEs, researchers, product, customer engineers, and customer technical teams to move prototypes through MVP, production readiness, launch, and scale.
Make pragmatic tradeoffs on scope, sequencing, resourcing, and quality while maintaining trust with technical and executive stakeholders.
Own value cases and impact measurement, including hypotheses, baselines, KPIs, adoption tracking, and readouts to sponsors.
Codify reusable delivery patterns, implementation playbooks, evals, and field insights that improve future deployments and inform product roadmap priorities.
You may thrive in this role if you:
Have 5+ years of customer-facing technical delivery, technical program management, deployment, consulting, solutions engineering, or implementation leadership experience.
Can credibly discuss both established and emerging threats, including AI-enabled attack and defense, translating them into practical detection and response workflows for both practitioners and customer leadership
Have led complex, ambiguous, cross-functional cybersecurity deployments in Fortune 500 or similarly complex enterprises, where outcomes depended on tight coordination and fast decision making.
Are technically fluent enough to pressure-test architectures, integration plans, data and workflow constraints, and production readiness without needing to be the deepest engineer in every domain.
Move fluidly between system-level strategy and execution-level detail, from executive objectives to ticket-level dependencies.
Communicate clearly with business leaders, technical teams, and customer stakeholders, especially when tradeoffs involve risk, scope, speed, or adoption.
Bring strong customer empathy and are willing to spend time onsite with customers when it accelerates delivery and trust.
Have practical interest or experience in AI/LLM systems and are eager to learn solution patterns, evaluation practices, and production pitfalls.
Operate well in high-ambiguity environments and bring enough structure to make complex work simple, visible, and shippable.
About the Company
The OpenAI Deployment Company (“DeployCo”) is the deployment arm of OpenAI, purpose-built to deliver enterprise AI transformation at scale. As model capabilities accelerate, deployment has become the primary constraint to realizing AI value creation within large enterprises. DeployCo bridges that gap.
Our ambition is to build the company that defines AI deployment. We operate at the intersection of cutting-edge AI, enterprise transformation, and scaled services delivery. We partner with enterprise customers to identify where AI can transform their businesses and build solutions leveraging OpenAI’s models and products. We work with many of the world's largest and most influential companies to solve their most complex business challenges using the latest advances in AI.
People who thrive at DeployCo get excited about ambitious and complex work. We are deep believers in the future with AI. We execute quickly, value intellectual honesty, and obsess over the solutions we build for our customers.
DeployCo is being built from the ground up as a subsidiary of OpenAI and funded with a partnership of outside investors.
About the Role
We are seeking an Executive Business Partner to support two C-level executives as DeployCo builds and scales. This person will keep both leaders organized, prepared, and moving quickly as priorities, teams, and operating rhythms take shape.
This is a hands-on role for someone with strong administrative fundamentals who enjoys bringing structure to a changing environment. You will own day-to-day coordination, anticipate needs, and keep commitments moving without requiring leaders to manage every detail. You should be comfortable making routine decisions independently, creating simple systems where needed, and recognizing when a consequential trade-off requires a leader’s input.
What you will do
Manage complex calendars for two leaders, resolving routine conflicts, protecting focus time, and surfacing meaningful trade-offs with clear options.
Coordinate leadership meetings, recruiting conversations, customer and partner engagements, planning sessions, and team events. Keep logistics, materials, attendees, and follow-through aligned.
Manage domestic and international travel across time zones, often with short notice or changing plans, in partnership with travel support where available.
Keep leaders prepared by gathering relevant context, coordinating pre-reads and briefing materials, and confirming that meetings have clear objectives and the right participants.
Establish and maintain lightweight routines, trackers, templates, and action logs that make priorities and commitments visible.
Anticipate recurring needs, identify gaps, and improve workflows when the same friction appears repeatedly.
Handle sensitive information with discretion, sound judgment, and attention to access, timing, and audience.
Partner closely with Operations, peer EBPs, and the leaders’ teams to share relevant context, clarify ownership, and ensure work moves smoothly across teams.
About the Company
DeployCo helps enterprises turn advances in AI into meaningful business outcomes. Working with OpenAI’s technology, we bring together engineering expertise and delivery experience to build and deploy AI solutions that change how organisations work.
We’re building a global company in a rapidly evolving field. That takes people who bring curiosity, sound judgement and a willingness to get close to difficult problems. We care about moving quickly, earning our customers’ trust and delivering work that makes a lasting difference.
About the Role
We are seeking an InfoSec Lead to build and lead DeployCo’s security function as we scale globally. You will own our security strategy and execution, protecting our people, systems and data while helping teams deliver secure AI solutions for enterprise customers.
This is a hands-on leadership role. You will establish the foundations of our security programme, build a high-performing team and partner closely with IT, Engineering, Delivery and Legal. You will be a trusted advisor to leadership and a credible counterpart to customer security teams, translating complex risks into clear decisions.
AI will be central to your remit. You will shape how we secure AI applications and agentic systems, govern our internal use of AI, and apply AI to improve our own security capabilities.
Success will mean a security function that earns customer confidence, gives teams practical ways to build securely and keeps pace with the company’s growth.
In this role, you will:
Build and own DeployCo’s security strategy, roadmap, budget and operating model, with clear priorities and accountability across the business.
Establish core security capabilities across cloud infrastructure, identity and access, data protection, application security, vulnerability management, detection and incident response.
Partner with Engineering and Delivery to embed security into the full lifecycle of customer deployments, from architecture and development through production operations.
Partner with Product and Engineering to build application security into product design and development, define security requirements, review designs and prioritize fixes so products are secure at launch and as they evolve.
Define security requirements and practical controls for AI applications, agents and internal AI adoption, covering approved tools, data handling, access permissions, third-party integrations and human oversight, while addressing risks such as prompt injection, sensitive data exposure and tool misuse.
Use AI and automation to improve security operations, including alert triage, investigation, vulnerability prioritisation and evidence collection, with appropriate validation and controls.
Lead security assurance and audit readiness, building towards relevant frameworks and certifications such as SOC 2 and ISO 27001 as customer and business needs require.
Work with Legal and commercial teams on customer security reviews, contractual commitments, supplier risk and data protection requirements.
Own incident preparedness and response, including exercises, escalation processes, recovery planning and clear communication during incidents.
Support acquisitions, integrations, bringing teams and systems onto a consistent security baseline.
Give executive leadership and the board clear visibility into material risks, programme maturity and investment decisions.
Hire, develop and lead a strong security team, building a culture where security is understood and shared across the company.
You may thrive in this role if you:
Bring 15+ years of experience in information security, including senior leadership responsibility in a technology, enterprise software or services business.
Have built or materially scaled a security function in a fast-growing organisation and know how to sequence investment as the business evolves.
Combine strategic judgement with technical depth across cloud security, identity, application security and detection and response.
Have practical experience securing AI-enabled applications or deployments, with a clear understanding of how models, retrieval systems, agents and tool integrations change the threat landscape.
Have a considered view on where AI can improve security operations and where human judgement and verification remain essential.
Have earned the trust of enterprise customers and can confidently discuss security architecture, assurance and risk with their technical and executive leaders.
Have led significant incident response and can make clear, proportionate decisions under pressure.
Can turn security requirements into controls and workflows that engineers and delivery teams can use effectively.
Communicate clearly with executives and boards, connecting technical risks to customer trust, business priorities and investment choices.
Enjoy building in ambiguity, taking ownership and staying close enough to the work to help solve difficult problems directly.
The OpenAI Deployment Company (“DeployCo”) is the deployment arm of OpenAI, purpose-built to deliver enterprise AI transformation at scale. As model capabilities accelerate, deployment has become the primary constraint to realizing AI value creation within large enterprises. DeployCo bridges that gap.
Our ambition is to build the company that defines AI deployment. We operate at the intersection of cutting-edge AI, enterprise transformation, and scaled services delivery. We partner with enterprise customers to identify where AI can transform their businesses and build solutions leveraging OpenAI’s models and products. We work with many of the world's largest and most influential companies to solve their most complex business challenges using the latest advances in AI.
People who thrive at DeployCo get excited about ambitious and complex work. We are deep believers in the future with AI. We execute quickly, value intellectual honesty, and obsess over the solutions we build for our customers.
DeployCo is being built from the ground up as a subsidiary of OpenAI and funded with a partnership of outside investors.
We are seeking a Revenue Operations Lead to build the commercial operating system for DeployCo from inception through scale. This is a foundational role responsible for turning a high-ambiguity enterprise deployment motion into a repeatable, data-driven, AI-native revenue engine.
This role is not a conventional RevOps support function. You will be expected to operate as a strategic partner to DeployCo leadership, an architect of systems and process, and a hands-on builder who can turn ambiguous commercial questions into clear operating mechanisms. You will own the rhythms, metrics, workflows, and source-of-truth systems that allow DeployCo to scale across OpenAI-sourced opportunities, DeployCo-originated enterprise demand, partner-led deployments, renewals, expansions, and new commercial motions.
Initially, this role will operate as a player-coach. You will build the first versions of the pipeline and forecast process, account staffing model, qualification standards, executive business reviews, deal governance, customer lifecycle reporting, and revenue planning infrastructure. Over time, you will grow a Revenue Operations organization that can support a large, global, high-performance AI deployment business without losing speed or precision.
Your day-to-day will include designing operating rhythms, pressure-testing pipeline quality, building executive-ready reporting, running cross-functional planning processes, partnering with Finance on targets and capacity, working with Legal and Finance on deal desk and quote-to-cash workflows, identifying gaps in field execution, and building AI-native systems that reduce manual coordination and improve decision quality.
You will partner closely with DeployCo's CEO, GTM leadership, OpenAI GTM, Finance, Legal, Product, Delivery, Data, and Systems teams.
Build and own DeployCo's Revenue Operations function, including GTM planning, forecasting, pipeline governance, capacity planning, compensation operations, revenue analytics, deal operations, and commercial systems.
Design, build, and manage the core operating rhythms for the business, including forecasting, pipeline council, deal reviews, MBRs/QBRs, board/investor reporting inputs, and executive operating reviews.
Own the source of truth for the commercial funnel, from opportunity intake through qualification, scoping, proposal, contracting, deployment, and expansion.
Partner with Finance and GTM leadership to translate company goals into segment-level targets, coverage models, hiring plans, productivity assumptions, and investment priorities.
Stand up the CRM and adjacent GTM systems architecture, ensuring clean data, strong process governance, scalable workflows, and reliable reporting for leaders and operators.
Translate recurring customer, field, and delivery patterns into structured inputs for product, enablement, partner strategy, and operating-model decisions.
Identify the highest-leverage operational constraints in the business and drive them to resolution across Sales, OpenAI GTM, Delivery, Product, Finance, Legal, Data, and Systems.
Build executive-grade dashboards and operating readouts that make performance, risks, tradeoffs, and priorities clear to DeployCo leadership, OpenAI leadership, and investors.
Have built your career at the intersection of strategy, analytics, and operations, with experience across GTM Strategy & Operations, Business Operations, Strategic Finance, Revenue Strategy, Revenue Operations, or similarly analytical roles in high-growth technology businesses. You may have started your career in consulting, banking, finance, engineering, or another analytically rigorous environment before moving into operating roles.
Have built or materially scaled a commercial operating system in a high-ambiguity environment, ideally where the company was still defining its segments, motions, metrics, systems, and operating cadences.
Have personally owned complex commercial analyses and strategic decisions — such as pricing and packaging, segmentation, capacity and coverage models, unit economics, investment decisions, or GTM design — and can translate rigorous analysis into a clear recommendation and operating plan.
Are exceptionally analytical and comfortable doing the work yourself. You can structure ambiguous business questions, interrogate messy data, build rigorous analyses and models, and use them to drive decisions with senior leadership.
Bring strong judgment across GTM strategy, operating models, target setting, capacity planning, forecasting, pipeline management, and executive reporting.
Can both architect and critically evaluate commercial systems. You have made consequential decisions around CRM and GTM architecture, including evaluating tools, designing data models and workflows, leading implementations or migrations, and establishing the governance required to make those systems reliable.
Have a track record of increasing scope and responsibility, including stepping into ambiguous or underbuilt environments and leaving behind stronger systems, processes, and organizations.
Understand complex enterprise sales and delivery motions, including multi-stakeholder buying committees, services-heavy deployments, partner involvement, custom scopes, non-standard deal structures, and long implementation cycles.
Can move fluidly between strategy and execution: you are equally comfortable defining the long-term commercial operating model, analyzing a strategic business question, and fixing the workflow, forecast, dashboard, or data issue blocking a decision today.
Have executive presence and can influence senior stakeholders across technical and non-technical teams with clarity, rigor, and a best-for-the-business mindset.
Thrive in fast-moving, ambiguous environments with frequent context switching, expansive ownership, and a high bar for output quality.
Are energized by the opportunity to define how AI-native revenue operations should work inside the company built to define enterprise AI deployment.
About the Company
The OpenAI Deployment Company (“DeployCo”) is the deployment arm of OpenAI, purpose-built to deliver enterprise AI transformation at scale. As model capabilities accelerate, deployment has become the primary constraint to realizing AI value creation within large enterprises. DeployCo bridges that gap.
Our ambition is to build the company that defines AI deployment. We operate at the intersection of cutting-edge AI, enterprise transformation, and scaled services delivery. We partner with enterprise customers to identify where AI can transform their businesses and build solutions leveraging OpenAI’s models and products. We work with many of the world's largest and most influential companies to solve their most complex business challenges using the latest advances in AI.
People who thrive at DeployCo get excited about ambitious and complex work. We are deep believers in the future with AI. We execute quickly, value intellectual honesty, and obsess over the solutions we build for our customers.
DeployCo is being built from the ground up as a subsidiary of OpenAI and funded with a partnership of outside investors.
About the Role
We are seeking a high-horsepower, operationally disciplined Talent Sourcer. You may or may not have a recruiting background, but you must have a track record of turning outreach into high-quality pipelines in high-pressure environments (for example, in an SDR role). Your focus will be sourcing exceptional Forward Deployed Engineers: customer-facing software engineers who combine technical depth, business judgment, and the ability to deliver in ambiguous environments.
You will partner with recruiters and hiring managers to understand hiring needs, align on candidate profiles, and build sourcing strategies as DeployCo grows.
Your day-to-day will be a mix of research, outreach and experimentation. You will explore technical communities and talent markets, build relationships with engineers, and use what you learn to improve how we find and engage talent.
Success in this role will look like a consistent pipeline of qualified, engaged candidates who progress through our hiring process, strong partnerships with the hiring team, and a clear understanding of which sourcing approaches lead to great hires.
In this role, you will:
Identify engineers with the technical ability, customer focus, and judgment to succeed as Forward Deployed Engineers
Develop creative sourcing strategies across companies, communities, networks, and other channels
Apply a data-driven approach to every aspect of the role: tracking response rates, conversion rates, and pipeline quality to understand what works and adjusting your approach based on the data
Write thoughtful, personalized outreach that gives candidates a clear reason to engage with DeployCo
Conduct initial candidate conversations to understand their experience, interests, and fit for the role
Build and nurture talent pools for current and future hiring needs
Partner with recruiters and hiring managers to refine searches using candidate feedback and interview outcomes
Test sourcing tools and techniques, and turn successful approaches into practices the team can repeat
You may thrive in this role if you:
Bring 2+ years of sourcing, recruiting, SDR, or comparable experience, ideally in a fast-growing environment
Have built strong engineering pipelines in competitive markets, including candidates who were not actively looking
Understand technical roles and can have credible, curious conversations with engineers about their work
Recognize relevant skills and potential across different backgrounds, titles, and technology stacks
Write clear, compelling outreach and build trust through thoughtful candidate interactions
Use data and feedback to improve your approach and prioritize your time
Take initiative, move quickly, and stay effective as hiring needs evolve
Enjoy researching unfamiliar talent markets and trying new ways to reach people
Have experience sourcing for forward deployed engineering, solutions architecture, or other customer-facing technical roles
The OpenAI Deployment Company (“DeployCo”) is the deployment arm of OpenAI, purpose built to deliver enterprise AI transformation at scale. As model capabilities accelerate, deployment has become the primary constraint to realizing AI value creation within large enterprises. DeployCo bridges that gap.
Our ambition is to build the company that defines AI deployment. We operate at the intersection of cutting edge AI, enterprise transformation, and scaled services delivery. We partner with enterprise customers to identify where AI can transform their businesses and build solutions leveraging OpenAI’s models and products.
People who thrive at DeployCo get excited about ambitious and complex work. We are deep believers in the future with AI. We execute quickly, value intellectual honesty and empathy, and obsess over the solutions we build for our customers.
DeployCo is being built from the ground up as a subsidiary of OpenAI and funded with a partnership of outside investors.
We are looking for an Workplace Operations Manager to own the day to day operations and workplace experience of our Singapore office.
You will play a central role in making Singapore a great place to work, ensuring our people, workplace and operations are set up to support a fast growing team. Our Singapore office is directly managed rather than a serviced office, so this is a hands on role that includes responsibility for the practical day to day running of the workplace, alongside employee experience, team coordination, events and administrative support.
As DeployCo continues to grow in Singapore and in Asia, you will also have the opportunity to shape how we operate by identifying gaps, building better processes and using technology and AI to make the way we work simpler and more effective.
This role is based in Singapore and is primarily office based.
•Own Singapore workplace operations, ensuring the office and its supporting services run smoothly, reliably and efficiently as the team grows.
•Create a great employee and visitor experience, supporting onboarding, team activities, meetings, events and the overall day to day experience of working from our Singapore office.
•Manage our workplace ecosystem, including external vendors, suppliers, building management and other partners required to support the Singapore team.
•Support Singapore leadership and the broader teamwith administrative and operational coordination, helping priorities move forward effectively.
•Drive team culture and engagement, supporting initiatives and experiences that bring people together and strengthen the Singapore team.
•Build and improve operational processes, identifying opportunities to simplify, automate and improve how the office and team operate.
•Use AI and technology to work smarter, experimenting with tools and new ways of working to reduce manual work and solve everyday operational challenges.
•Partner with the wider APAC and global Operations teamson regional initiatives, events and operational priorities as required.
•Take ownership of the unexpected. in a fast growing company, not everything fits neatly into a job description. You will be someone the team can rely on to figure things out and make things happen.
• Have experience in office management, workplace operations, business operations, administration or a similar environment.
• Are AI native and curious. You actively use AI in your day to day work and are excited about finding new ways to use it to solve problems, automate repetitive work and improve how things get done.
• Have a genuine interest in AI and are excited to work in an environment where technology is changing quickly.
• Are proactive and resourceful. You see something that could be better and naturally take ownership of improving it.
• Are highly organised and comfortable managing multiple priorities at the same time.
• Enjoy being hands on and are equally comfortable thinking about how something should work and rolling up your sleeves to make it happen.
• Are a strong communicator who can work confidently with employees, senior leaders, customers, partners and external vendors.
• Have strong attention to detail and a high bar for the experience you create for others.
• Are comfortable with ambiguity and enjoy working in a fast moving environment where processes are still being built.
• Want to grow beyond traditional office management and take on broader operational responsibility as the team scales.
About the Company
The OpenAI Deployment Company (“DeployCo”) is the deployment arm of OpenAI, purpose-built to deliver enterprise AI transformation at scale. As model capabilities accelerate, deployment has become the primary constraint to realizing AI value creation within large enterprises. DeployCo bridges that gap.
Our ambition is to build the company that defines AI deployment. We operate at the intersection of cutting-edge AI, enterprise transformation, and scaled services delivery. We partner with enterprise customers to identify where AI can transform their businesses and build solutions leveraging OpenAI’s models and products. We work with many of the world's largest and most influential companies to solve their most complex business challenges using the latest advances in AI.
People who thrive at DeployCo get excited about ambitious and complex work. We are deep believers in the future with AI. We execute quickly, value intellectual honesty, and obsess over the solutions we build for our customers.
DeployCo is being built from the ground up as a subsidiary of OpenAI and funded with a partnership of outside investors.
About the Role
We are seeking a Technical Deployment Lead to turn ambitious customer deployments into shipped, adopted systems. In this role, you will lead day-to-day technical delivery for complex engagements: translating business outcomes into technical plans, coordinating Forward Deployed Engineers (FDEs), researchers, customer engineers, Product, and customer teams, and carrying solutions from prototype through production adoption. This role will report to DeployCo delivery leadership and partner closely with Forward Deployed Engineering, Product, Research, Customer Success, Partnerships, and customer stakeholders.
Your day-to-day will be mapping customer workflows and success criteria, building delivery plans, tracking dependencies, sequencing workstreams, unblocking technical teams, making scope tradeoffs, communicating risks, and driving readiness and change management so deployed systems land in real workflows. You will also codify reusable patterns, surface field insights, and help turn complex deployments into repeatable operating muscle.
Success in this role will look like deployments that deliver measurable customer value, reach production reliably, drive adoption, and produce reusable patterns for future engagements. You will be measured by delivery reliability, quality of technical execution, customer trust, operating leverage, judgment under pressure, and the strength of field signal shared back to Product and Research.
In this role, you will:
Own technical delivery plans for customer workstreams, translating business objectives into milestones, dependencies, acceptance criteria, and operating rhythms.
Run day-to-day execution across DeployCo, OpenAI, and customer teams, keeping work sequenced, risks visible, blockers resolved, and critical paths protected.
Embed with customers to map workflows, shape requirements, align technical plans to success criteria, and ensure solutions are adopted in production.
Partner with FDEs, researchers, product, customer engineers, and customer technical teams to move prototypes through MVP, production readiness, launch, and scale.
Make pragmatic tradeoffs on scope, sequencing, resourcing, and quality while maintaining trust with technical and executive stakeholders.
Own value cases and impact measurement, including hypotheses, baselines, KPIs, adoption tracking, and readouts to sponsors.
Codify reusable delivery patterns, implementation playbooks, evals, and field insights that improve future deployments and inform product roadmap priorities.
You may thrive in this role if you:
Have 5+ years of customer-facing technical delivery, technical program management, deployment, consulting, solutions engineering, or implementation leadership experience.
Have led complex, ambiguous, cross-functional technical projects where outcomes depended on tight coordination and fast decision making.
Are technically fluent enough to pressure-test architectures, integration plans, data and workflow constraints, and production readiness without needing to be the deepest engineer in every domain.
Move fluidly between system-level strategy and execution-level detail, from executive objectives to ticket-level dependencies.
Communicate clearly with business leaders, technical teams, and customer stakeholders, especially when tradeoffs involve risk, scope, speed, or adoption.
Bring strong customer empathy and are willing to spend time onsite with customers when it accelerates delivery and trust.
Have practical interest or experience in AI/LLM systems and are eager to learn solution patterns, evaluation practices, and production pitfalls.
Operate well in high-ambiguity environments and bring enough structure to make complex work simple, visible, and shippable.
About the Company
The OpenAI Deployment Company (“DeployCo”) is the deployment arm of OpenAI, purpose-built to deliver enterprise AI transformation at scale. As model capabilities accelerate, deployment has become the primary constraint to realizing AI value creation within large enterprises. DeployCo bridges that gap.
Our ambition is to build the company that defines AI deployment. We operate at the intersection of cutting-edge AI, enterprise transformation, and scaled services delivery. We partner with enterprise customers to identify where AI can transform their businesses and build solutions leveraging OpenAI’s models and products. We work with many of the world's largest and most influential companies to solve their most complex business challenges using the latest advances in AI.
People who thrive at DeployCo get excited about ambitious and complex work. We are deep believers in the future with AI. We execute quickly, value intellectual honesty, and obsess over the solutions we build for our customers.
DeployCo is being built from the ground up as a subsidiary of OpenAI and funded with a partnership of outside investors.
We are seeking a Product Lead to shape and build the internal platform that DeployCo runs on. Building an AI-native company starts with how we operate ourselves. In this role, you will own the product vision, strategy, and roadmap for our internal platform, rethinking how work gets done with AI and translating complex operational needs into intuitive, reliable tools.
Your scope will span DeployCo’s core business operations: staffing and resourcing, financial operations and reporting, recruiting workflows, and sales and pipeline management. You will connect these workflows into a coherent platform that gives teams the tools to execute and leaders the information to make better decisions.
You will partner closely with engineers and leaders across Delivery, Finance, People, Sales, and Operations, owning the product from discovery through launch and ongoing improvement. You will set a high bar for quality and work closely with teams to ensure what we build becomes part of how they operate.
Success in this role will look like a platform that teams rely on every day, workflows that require less manual effort, and accurate, accessible information that improves how we run the business. You will help DeployCo scale its operations while keeping teams focused on delivering value to customers.
Own the product vision and roadmap for DeployCo’s internal platform, balancing immediate operational needs with the capabilities the business will need as it scales.
Embed with internal teams to understand how work gets done and redesign workflows around AI and automation, reducing manual effort, simplifying handoffs, and translating opportunities into clear product priorities.
Build connected experiences across people, resourcing, finance, recruiting, and sales, accounting for how information and decisions move between teams.
Partner closely with engineers and designers to ship high-quality products, making pragmatic tradeoffs on scope, sequencing, usability, and reliability.
Shape the platform’s data and reporting capabilities so teams and leadership can trust the information behind operational decisions, financial reviews, and board reporting.
Shape platform security and access controls so employees and external partners can access only the information and capabilities appropriate to their roles.
Own adoption and continuous improvement, using direct feedback and measures such as time saved, workflow completion, data accuracy, and usage to guide investment.
Have a track record of building excellent products that deliver meaningful value to users, including hands-on experience building AI-powered or agentic applications, and are excited to bring that ambition to DeployCo’s own teams and operations.
Can set a compelling long-term direction while staying close to execution, moving comfortably between company priorities, user needs, and the details of a product experience.
Bring strong user empathy and a high bar for product craft, investing time in understanding how people work and making complex workflows feel simple and intuitive.
Are hands-on: comfortable working in Figma, SQL, and Git, and using tools like Codex to prototype ideas, test assumptions, and accelerate development in close partnership with engineers.
Are technically fluent enough to work through data models, integrations, permissions, and system tradeoffs with engineers, and comfortable using data to investigate problems and measure results.
Communicate clearly with technical and non-technical partners, make compelling cases for what to build and why, and build alignment around priorities and tradeoffs.
Operate well in ambiguity, take initiative, and bring the structure and follow-through needed to turn a broad mandate into shipped products that teams adopt and rely on.
About the Company
The OpenAI Deployment Company (“DeployCo”) is the deployment arm of OpenAI, purpose-built to deliver enterprise AI transformation at scale. As model capabilities accelerate, deployment has become the primary constraint to realizing AI value creation within large enterprises. DeployCo bridges that gap.
Our ambition is to build the company that defines AI deployment. We operate at the intersection of cutting-edge AI, enterprise transformation, and scaled services delivery. We partner with enterprise customers to identify where AI can transform their businesses and build solutions leveraging OpenAI’s models and products. We work with many of the world's largest and most influential companies to solve their most complex business challenges using the latest advances in AI.
People who thrive at DeployCo get excited about ambitious and complex work. We are deep believers in the future with AI. We execute quickly, value intellectual honesty, and obsess over the solutions we build for our customers.
DeployCo is being built from the ground up as a subsidiary of OpenAI and funded with a partnership of outside investors.
About the Role
We are seeking a Principal - Strategic Accounts to build and grow DeployCo’s most important cybersecurity customer relationships. You will work closely with OpenAI account teams, customer leaders, and DeployCo’s technical teams to understand business priorities, identify transformational applications of AI, and shape engagements that deliver measurable results.
Your focus will be on developing commercial opportunities and relationships: qualifying opportunities, building the business case, coordinating discovery and scoping, and guiding engagements through commercial agreement into deployment. As customers see results, you will help identify where DeployCo can deepen its impact.
This role combines strategic problem-solving, customer partnership, and commercial ownership. Success means shaping high-impact customer engagements, building trusted customer relationships, and growing those relationships through demonstrated value.
In this role you will:
Build relationships with senior enterprise leaders within the cybersecurity space, understanding their specific priorities, operating constraints, and opportunities for frontier AI deployment
Partner with OpenAI account teams to understand customer context and develop opportunities introduced to DeployCo
Lead qualification and discovery, bringing in technical and deployment colleagues to assess feasibility and define scope
Lead the commercial process with customers, working with legal, finance, and deployment teams, ensuring expectations and commitments are clear
Bring customer insights back into DeployCo’s approach to qualification, engagement design, and account development
You may thrive in this role if you:
Have experience in the cybersecurity industry or managing strategic client relationships with cybersecurity companies, with an understanding of the sector’s priorities, challenges, and buying dynamics, is strongly preferred
Take ownership in ambiguous environments, moving comfortably between long-term account development and the detail needed to advance an engagement
Can turn customer ambition into a clear problem, a credible scope, and an actionable next step
Have shaped and delivered complex customer engagements, bringing together senior stakeholders, technical teams, and commercial considerations
Build trust with customers by understanding their business, exercising sound judgment, and following through on commitments
Communicate clearly with senior executives and coordinate effectively across teams with different priorities
Bring a rigorous quantitative foundation through education or professional experience
About the Company
The OpenAI Deployment Company (“DeployCo”) is the deployment arm of OpenAI, purpose-built to deliver enterprise AI transformation at scale. As model capabilities accelerate, deployment has become the primary constraint to realizing AI value creation within large enterprises. DeployCo bridges that gap.
Our ambition is to build the company that defines AI deployment. We operate at the intersection of cutting-edge AI, enterprise transformation, and scaled services delivery. We partner with enterprise customers to identify where AI can transform their businesses and build solutions leveraging OpenAI’s models and products. We work with many of the world's largest and most influential companies to solve their most complex business challenges using the latest advances in AI.
People who thrive at DeployCo get excited about ambitious and complex work. We are deep believers in the future with AI. We execute quickly, value intellectual honesty, and obsess over the solutions we build for our customers.
DeployCo is being built from the ground up as a subsidiary of OpenAI and funded with a partnership of outside investors.
About the Role
We are seeking a Principal - Strategic Accounts to build and grow DeployCo’s most important customer relationships within life sciences. You will work closely with OpenAI account teams, customer leaders, and DeployCo’s technical teams to understand business priorities, identify transformational applications of AI, and shape engagements that deliver measurable results.
Your focus will be on developing commercial opportunities and relationships: qualifying opportunities, building the business case, coordinating discovery and scoping, and guiding engagements through commercial agreement into deployment. As customers see results, you will help identify where DeployCo can deepen its impact.
This role combines strategic problem-solving, customer partnership, and commercial ownership. Success means shaping high-impact customer engagements, building trusted customer relationships, and growing those relationships through demonstrated value.
In this role you will:
Build relationships with senior enterprise leaders within the life sciences space, understanding their specific priorities, operating constraints, and opportunities for frontier AI deployment
Partner with OpenAI account teams to understand customer context and develop opportunities introduced to DeployCo
Lead qualification and discovery, bringing in technical and deployment colleagues to assess feasibility and define scope
Lead the commercial process with customers, working with legal, finance, and deployment teams, ensuring expectations and commitments are clear
Bring customer insights back into DeployCo’s approach to qualification, engagement design, and account development
You may thrive in this role if you:
Have experience in the life sciences industry or managing strategic client relationships with life sciences companies, with an understanding of the sector’s priorities, challenges, and buying dynamics, is strongly preferred
Take ownership in ambiguous environments, moving comfortably between long-term account development and the detail needed to advance an engagement
Can turn customer ambition into a clear problem, a credible scope, and an actionable next step
Have shaped and delivered complex customer engagements, bringing together senior stakeholders, technical teams, and commercial considerations
Build trust with customers by understanding their business, exercising sound judgment, and following through on commitments
Communicate clearly with senior executives and coordinate effectively across teams with different priorities
Bring a rigorous quantitative foundation through education or professional experience
About the Company
The OpenAI Deployment Company (“DeployCo”) is the deployment arm of OpenAI, purpose-built to deliver enterprise AI transformation at scale. As model capabilities accelerate, deployment has become the primary constraint to realizing AI value creation within large enterprises. DeployCo bridges that gap. Our ambition is to build the company that defines AI deployment. We operate at the intersection of cutting-edge AI, enterprise transformation, and scaled services delivery. We partner with enterprise customers to identify where AI can transform their businesses and build solutions leveraging OpenAI’s models and products. We work with many of the world's largest and most influential companies to solve their most complex business challenges using the latest advances in AI. People who thrive at DeployCo get excited about ambitious and complex work. We are deep believers in the future with AI. We execute quickly, value intellectual honesty, and obsess over the solutions we build for our customers. DeployCo is being built from the ground up as a subsidiary of OpenAI and funded with a partnership of outside investors.
About the Role
We are seeking a Finance Data Analytics Senior Manager to build and own the data foundation for DeployCo’s AI-native FP&A function. Reporting to the FP&A lead, you will combine hands-on data skills with finance expertise to build reliable pipelines, maintain trusted datasets, analyze performance, and deliver clear recommendations. You will own the full finance data lifecycle, from connecting source systems and defining financial metrics to explaining business results. Working with FP&A, Accounting, and cross-functional teams, you will support budgeting, rolling forecasts, revenue and pipeline analysis, headcount and capacity planning, and management reporting. This is a hands-on role for someone who is equally comfortable writing SQL, troubleshooting a data pipeline, and explaining a financial analysis. You will build and maintain the underlying systems and use the data yourself to answer business questions, identify risks and opportunities, and recommend actions as the finance function grows.
This role is based in New York City.
In this role, you will:
Build and maintain finance data pipelines and models connecting ERP, planning, CRM, HRIS, and project delivery systems, with consistent financial metric definitions.
Own data quality and reliability through monitoring, troubleshooting, source reconciliations, automated checks, documentation, and access controls.
Analyze revenue, margins, pipeline conversion, and workforce capacity; explain performance drivers and variances, and maintain models for budgeting, forecasting, and scenario analysis.
Deliver clear management reporting and enable self-service analysis through trusted datasets, dashboards, and documented metrics that help finance and business teams answer their own questions.
Use Codex and ChatGPT to analyze finance data, develop recommendations, and automate recurring workflows, validating code, calculations, and conclusions and keeping outputs traceable.
Partner with FP&A, Accounting, IT, Engineering, and business teams to prioritize finance data needs, use approved platforms, and support tool adoption.
You may thrive in this role if you:
Bring approximately 6–10 years of relevant experience across finance, FP&A, accounting, analytics, data engineering, or finance systems, with meaningful hands-on experience in both finance and data.
Have personally built and maintained data pipelines and financial datasets used for recurring analysis and reporting, including ongoing troubleshooting and support.
Bring strong SQL and practical proficiency in Python or a comparable scripting language, with experience integrating APIs, querying databases, and automating data transformations.
Have a strong understanding of financial statements and hands-on experience in budgeting, forecasting, and revenue, cost, margin, and variance analysis; can explain the business drivers behind the numbers.
Have practical experience with data modeling, ETL/ELT, cloud data warehouses, and scheduled workflows; can turn inconsistent source data into reliable, well-documented finance datasets.
Are strong in Excel or Google Sheets and have built dashboards and reporting in a BI tool such as Power BI, Tableau, or Looker, connecting detailed data to useful financial analysis.
Apply sound data quality and control practices, including source reconciliations, automated checks, version control, documentation, and appropriate access to sensitive finance data.
Communicate clearly with finance, technical, and business stakeholders; translate ambiguous questions into analyses and recommendations, and explain assumptions and limitations.
Take ownership from initial build through ongoing maintenance, analysis, and reporting, prioritizing business needs and improving processes as the finance function grows.
About the Company
The OpenAI Deployment Company (“DeployCo”) is the deployment arm of OpenAI, purpose-built to deliver enterprise AI transformation at scale. As model capabilities accelerate, deployment has become the primary constraint to realizing AI value creation within large enterprises. DeployCo bridges that gap.
Our ambition is to build the company that defines AI deployment. We operate at the intersection of cutting-edge AI, enterprise transformation, and scaled services delivery. We partner with enterprise customers to identify where AI can transform their businesses and build solutions leveraging OpenAI’s models and products. We work with many of the world's largest and most influential companies to solve their most complex business challenges using the latest advances in AI.
People who thrive at DeployCo get excited about ambitious and complex work. We are deep believers in the future with AI. We execute quickly, value intellectual honesty, and obsess over the solutions we build for our customers.
DeployCo is being built from the ground up as a subsidiary of OpenAI and funded with a partnership of outside investors.
About the Role
As a Forward Deployed Engineer, you will operate as a technical lead on high-stakes, ambiguous customer deployments and own both technical and business value outcomes end-to-end. You will set the bar for customer engagement and deployments of our technology, helping establish the foundation for OpenAI Deployment.
You will ramp quickly toward management responsibilities and help grow a team that can operate under pressure to deliver meaningful outcomes for customers.
You will also help shape how AI can be leveraged to drive real-world impact, as well as how the team organizes to deliver that impact. You will partner closely with OpenAI’s core functions to ensure field work informs roadmap priorities, drives new exploration, and supports safe deployment at scale.
An active U.S. government security clearance is required. While TS/SCI with polygraph is preferred, all levels will be considered. Candidates must be able to maintain their clearance and obtain customer-specific access.
For cleared engagements, build within customer-approved environments and account for restrictions on data, connectivity, tooling, and access. Work closely with the Technical Deployment Lead and customer engineers to establish a feasible path from prototype to a system the customer can operate.
This role is based in Washington, D.C., New York, or San Francisco. Candidate location will be evaluated on a case-by-case basis and candidates based elsewhere may be considered depending on customer needs, access requirements, and the ability to work onsite.
We use a hybrid work model with three days per week in the office and offer relocation assistance. Office and secure customer-site arrangements will be discussed case by case. This role will also require up to 50% travel; some work may require access to secure facilities.
In this role, you will:
Lead technical engagements end to end, delivering quickly with sound engineering judgment.
Build reusable deployment capabilities and guide implementation strategy.
Coach teammates, capture repeatable practices, and escalate emerging customer or product issues.
Design integrations that respect the target environment’s access boundaries and approved data flows.
Evaluate AI behavior using permitted datasets, and develop appropriate testing, observability, and human review for the customer workflow.
Partner with customer security and infrastructure teams on environment readiness, release procedures, and operational handoff.
Share reusable lessons through approved channels while keeping customer-sensitive details within their authorized boundaries.
You may thrive in this role if you:
Have 4+ engineering years; build production frontend and backend systems in JavaScript or Python.
Ship ambiguous projects, choose reuse versus customization wisely, and make calm, clear decisions.
Strengthen teams, earn trust, and turn customer learning into product feedback.
Have built or integrated software in environments with restricted access, connectivity, or data handling.
Can diagnose deployment problems with limited tooling and collaborate effectively with cleared customer teams.
Have an active U.S. government security clearance. While TS/SCI with polygraph is preferred, all levels will be considered. Candidates must be able to maintain their clearance and obtain customer-specific access.
About the Company
The OpenAI Deployment Company (“DeployCo”) is the deployment arm of OpenAI, purpose-built to deliver enterprise AI transformation at scale. As model capabilities accelerate, deployment has become the primary constraint to realizing AI value creation within large enterprises. DeployCo bridges that gap.
Our ambition is to build the company that defines AI deployment. We operate at the intersection of cutting-edge AI, enterprise transformation, and scaled services delivery. We partner with enterprise customers to identify where AI can transform their businesses and build solutions leveraging OpenAI’s models and products. We work with many of the world's largest and most influential companies to solve their most complex business challenges using the latest advances in AI.
People who thrive at DeployCo get excited about ambitious and complex work. We are deep believers in the future with AI. We execute quickly, value intellectual honesty, and obsess over the solutions we build for our customers.
DeployCo is being built from the ground up as a subsidiary of OpenAI and funded with a partnership of outside investors.
About the Role
We are seeking a Technical Deployment Lead to turn ambitious customer deployments into shipped, adopted systems for customers whose work requires cleared personnel. In this role, you will lead day-to-day technical delivery for complex engagements: translating business outcomes into technical plans, coordinating Forward Deployed Engineers (FDEs), researchers, customer engineers, Product, and customer teams, and carrying solutions from prototype through production adoption. This role will report to DeployCo delivery leadership and partner closely with Forward Deployed Engineering, Product, Research, Customer Success, Partnerships, and customer stakeholders.
Your day-to-day will be mapping customer workflows and success criteria, building delivery plans, tracking dependencies, sequencing workstreams, unblocking technical teams, making scope tradeoffs, communicating risks, and driving readiness and change management so deployed systems land in real workflows. For cleared engagements, you will account for access approvals, secure-facility scheduling, and customer security and infrastructure requirements, coordinating delivery and communicating through approved channels. You will also codify reusable patterns, surface field insights, and help turn complex deployments into repeatable operating muscle, respecting customer restrictions on what can be shared or reused.
Success in this role will look like deployments that deliver measurable customer value, reach production reliably, drive adoption, and produce reusable patterns for future engagements while meeting customer security and operational requirements. You will be measured by delivery reliability, quality of technical execution, customer trust, operating leverage, judgment under pressure, and the strength of field signal shared back to Product and Research through approved channels.
An active U.S. government security clearance is required. While TS/SCI with polygraph is preferred, all levels will be considered. Candidates must be able to maintain their clearance and obtain customer-specific access.
For cleared engagements, build within customer-approved environments and account for restrictions on data, connectivity, tooling, and access. Work closely with the Technical Deployment Lead and customer engineers to establish a feasible path from prototype to a system the customer can operate.
This role is based in Washington, D.C., New York, or San Francisco. Candidate location will be evaluated on a case-by-case basis and candidates based elsewhere may be considered depending on customer needs, access requirements, and the ability to work onsite.
We use a hybrid work model with three days per week in the office and offer relocation assistance. Office and secure customer-site arrangements will be discussed case by case. This role will also require up to 50% travel; some work may require access to secure facilities.
In this role, you will:
Own technical delivery plans for customer workstreams, translating business objectives into milestones, dependencies, acceptance criteria, and operating rhythms.
Run day-to-day execution across DeployCo, OpenAI, and customer teams, keeping work sequenced, risks visible, blockers resolved, and critical paths protected.
Embed with customers to map workflows, shape requirements, align technical plans to success criteria, and ensure solutions are adopted in production.
Partner with FDEs, researchers, product, customer engineers, and customer technical teams to move prototypes through MVP, production readiness, launch, and scale.
Make pragmatic tradeoffs on scope, sequencing, resourcing, and quality while maintaining trust with technical and executive stakeholders.
Own value cases and impact measurement, including hypotheses, baselines, KPIs, adoption tracking, and readouts to sponsors.
Codify reusable delivery patterns, implementation playbooks, evals, and field insights that improve future deployments and inform product roadmap priorities.
Account for access approvals, secure-facility scheduling, and dependencies on customer security and infrastructure teams in delivery plans.
Align technical teams and customer stakeholders on readiness criteria for the target environment, including testing, operational ownership, and support.
Keep sponsors informed through approved channels, with delivery risks and decisions communicated at the appropriate sensitivity level.
You may thrive in this role if you:
Have 5+ years of customer-facing technical delivery, technical program management, deployment, consulting, solutions engineering, or implementation leadership experience.
Have led complex, ambiguous, cross-functional technical projects where outcomes depended on tight coordination and fast decision making.
Are technically fluent enough to pressure-test architectures, integration plans, data and workflow constraints, and production readiness without needing to be the deepest engineer in every domain.
Move fluidly between system-level strategy and execution-level detail, from executive objectives to ticket-level dependencies.
Communicate clearly with business leaders, technical teams, and customer stakeholders, especially when tradeoffs involve risk, scope, speed, or adoption.
Bring strong customer empathy and are willing to spend time onsite with customers when it accelerates delivery and trust.
Have practical interest or experience in AI/LLM systems and are eager to learn solution patterns, evaluation practices, and production pitfalls.
Operate well in high-ambiguity environments and bring enough structure to make complex work simple, visible, and shippable.
Have worked with government, national-security, or other customers operating under clearance and access constraints.
Can balance delivery momentum with customer security requirements and coordinate effectively when information or access is restricted.
Have an active U.S. government security clearance. While TS/SCI with polygraph is preferred, all levels will be considered. Candidates must be able to maintain their clearance and obtain customer-specific access.
About the Company
The OpenAI Deployment Company (“DeployCo”) is the deployment arm of OpenAI, purpose-built to deliver enterprise AI transformation at scale. As model capabilities accelerate, deployment has become the primary constraint to realizing AI value creation within large enterprises. DeployCo bridges that gap.
Our ambition is to build the company that defines AI deployment. We operate at the intersection of cutting-edge AI, enterprise transformation, and scaled services delivery. We partner with enterprise customers to identify where AI can transform their businesses and build solutions leveraging OpenAI’s models and products. We work with many of the world's largest and most influential companies to solve their most complex business challenges using the latest advances in AI.
People who thrive at DeployCo get excited about ambitious and complex work. We are deep believers in the future with AI. We execute quickly, value intellectual honesty, and obsess over the solutions we build for our customers.
DeployCo is being built from the ground up as a subsidiary of OpenAI and funded with a partnership of outside investors.
About the Role
We are seeking a Principal - Strategic Accounts to build and grow DeployCo’s most important customer relationships. You will work closely with OpenAI account teams, customer leaders, and DeployCo’s technical teams to understand business priorities, identify transformational applications of AI, and shape engagements that deliver measurable results.
Your focus will be on developing commercial opportunities and relationships: qualifying opportunities, building the business case, coordinating discovery and scoping, and guiding engagements through commercial agreement into deployment. As customers see results, you will help identify where DeployCo can deepen its impact.
This role combines strategic problem-solving, customer partnership, and commercial ownership. Success means shaping high-impact customer engagements, building trusted customer relationships, and growing those relationships through demonstrated value.
In this role you will:
Build relationships with senior enterprise leaders, understanding their priorities, operating constraints, and opportunities for frontier AI deployment
Partner with OpenAI account teams to understand customer context and develop opportunities introduced to DeployCo
Lead qualification and discovery, bringing in technical and deployment colleagues to assess feasibility and define scope
Lead the commercial process with customers, working with legal, finance, and deployment teams, ensuring expectations and commitments are clear
Bring customer insights back into DeployCo’s approach to qualification, engagement design, and account development
You may thrive in this role if you:
Take ownership in ambiguous environments, moving comfortably between long-term account development and the detail needed to advance an engagement
Can turn customer ambition into a clear problem, a credible scope, and an actionable next step
Have shaped and delivered complex customer engagements, bringing together senior stakeholders, technical teams, and commercial considerations
Build trust with customers by understanding their business, exercising sound judgment, and following through on commitments
Communicate clearly with senior executives and coordinate effectively across teams with different priorities
Bring a rigorous quantitative foundation through education or professional experience
About the Company
The OpenAI Deployment Company (“DeployCo”) is the deployment arm of OpenAI, purpose-built to deliver enterprise AI transformation at scale. As model capabilities accelerate, deployment has become the primary constraint to realizing AI value creation within large enterprises. DeployCo bridges that gap.
Our ambition is to build the company that defines AI deployment. We operate at the intersection of cutting-edge AI, enterprise transformation, and scaled services delivery. We partner with enterprise customers to identify where AI can transform their businesses and build solutions leveraging OpenAI’s models and products. We work with many of the world's largest and most influential companies to solve their most complex business challenges using the latest advances in AI.
People who thrive at DeployCo get excited about ambitious and complex work. We are deep believers in the future with AI. We execute quickly, value intellectual honesty, and obsess over the solutions we build for our customers.
DeployCo is being built from the ground up as a subsidiary of OpenAI and funded with a partnership of outside investors.
About the Role
We’re looking for a Strategic Partnerships Lead to build and scale new cloud and consulting partnerships on behalf of DeployCon. With the executive team, you will define where partnerships can create the greatest value, develop a strategy, and establish new programs and operating models to produce sustained commercial results.
This is an opportunity to build from the ground up: building relationships with new partners, shaping compelling joint offerings, negotiating agreements, and bringing those offerings to life. You will work closely with DeployCo leadership, legal, finance, commercial and technical teams, and close counterparts at OpenAI to align priorities and drive execution.
You should bring the strategic judgment to decide what to build, the commercial experience to make it successful, and the operating discipline to carry it through.
What success looks like: DeployCo has a focused partnership strategy, a repeatable program, and an active portfolio delivering measurable commercial value. Partners understand how to work with us, internal teams have clear ownership, and successful collaborations help more customers deploy AI effectively.
In this role, you will:
Design, build and launch new partnership programs. Create a clear partner value proposition, commercial incentives, legal agreements, and operating model – including onboarding, enablement, and governance. Turn initial successes into programs that scale effectively for DeployCo and work across customers.
Deliver measurable commercial impact for the business. Build joint business plans that generate new qualified pipeline, revenue, customer adoption, and expansion. Set targets, track performance, and adjust or exit initiatives when results fall short. Calibrate expectation and performance with partner organizations.
Lead and collaborate across functions and organizations. In order to build and scale partnerships, effectively bring together key stakeholders across legal, finance, sales, engineering, and delivery to make clear decisions, divide responsibilities, and hit key milestones. Project manage complex workstreams, resolve competing priorities and advance high pace initiatives.
Build trusted executive relationships. Represent DeployCo with senior leaders at partners establish shared priorities and remain accountable for the health and performance of each relationship.
You may thrive in this role if you:
10+ years of experience in strategic partnerships, business development, platform product management or strategic alliances within the technology sector. Significant experience in strategic partnerships, alliances, business development, or ecosystem leadership within enterprise technology.
Experience in high-growth startup or fast-paced technology environments.
Built something from scratch, such as a partnerships function, alliance strategy, or large-scale partner program that you personally took from an initial thesis to launch and scale.
A demonstrated commercial track record. You can point to programs you owned, explain the commercial model and your contribution, and quantify the pipeline, revenue, adoption, or customer outcomes they produced.
Strong commercial judgment and negotiation skills, including experience evaluating partnership economics and structuring complex agreements alongside Legal and Finance.
A record of leading cross-functional initiatives through influence, aligning senior stakeholders, and translating broad goals into completed work.
Practical technical fluency. You can discuss APIs, enterprise integrations, data requirements, and AI deployment considerations with technical counterparts, ask informed questions, and translate constraints into sound partnership decisions.
Comfort operating with ambiguity, making decisions with incomplete information, and moving between long-term planning and detailed execution.
Clear communication, strong relationship-building skills, and a willingness to take personal ownership of results.