Technical Deployment Lead, Financial Services

Details

OpenAI’s Forward Deployed Engineering (FDE) team turns research breakthroughs into production-grade systems. We embed deeply with customers to solve high-leverage problems and act as the delivery engine for our most complex large-scale engagements. We move quickly from prototype to production and surface reusable patterns that shape our platform. We operate at the intersection of deployment and development, working closely with OpenAI Research, Product and Partnerships.

Responsibilities

• Own the technical delivery plan for multiple interdependent workstreams. Translate business objectives into a roadmap with milestones, dependencies, and acceptance criteria.
• Run day-to-day engineering execution: track and drive delivery across OpenAI FDE and customer teams, keep progress unblocked and sequenced, and make real-time trade-offs on scope and priority to protect the critical path.
• Embed with customer teams to land production deployments and drive adoption: map workflows, shape tools/integrations, translate requirements into a delivery plan, and lead onboarding, adoption, and change management.
• Partner with Product and Research so platform components and research workstreams land in time to support deployment goals.
• Codify solution patterns and evaluations: extract reusable patterns and package field signals to improve product and models.
• Own value cases and ROI: set impact hypotheses, baselines, and KPIs; run pre-/post-deployment measurement and report to executive sponsors.
• Shape how OpenAI engages Financial Services customers and lead high-stakes, complex customer engagements from 0→1 prototypes through MVP and scale.

Requirements

• 7+ years of customer-facing technical delivery leadership.
• Expertise in Financial Services and experience partnering with banks, asset managers, and private capital investors.
• Track record of leading large, complex, high-stakes customer engagements where outcomes depended on tight coordination and fast decision making, ideally involving AI.
• Strong technical fluency: comfortable discussing technical details, pressure-testing architectures, sequencing work, and making trade-offs.
• Experience shipping AI / LLM systems and understanding solution patterns, integration basics, and production pitfalls.
• Ability to move between system-level understanding and execution-level detail: dive into customer workflows/data, map constraints, sketch architectures, and move ambiguous problems to shipped systems.
• Strong judgment under pressure, strategic thinking, pattern-matching, and executive presence to translate technical trade-offs to business leaders.
• Willingness to be onsite with customers frequently (often 25–50% travel, sometimes higher).

Role details

• Location: This role is based in New York City. Hybrid work model: 3 days in the office per week.
• Travel: Up to 50% required.
• Relocation assistance is offered for eligible employees.

Benefits

• Base pay range: $280,000 – $345,000 (total compensation may include equity and bonuses).
• Medical, dental, and vision insurance with employer contributions to Health Savings Accounts.
• Pre-tax accounts (Health FSA, Dependent Care FSA, commuter expenses).
• 401(k) with employer match.
• Paid parental leave, paid medical and caregiver leave, flexible PTO, 13+ paid holidays and coordinated office closures.
• Mental health and wellness support; employer-paid basic life and disability coverage.
• Annual learning and development stipend; daily meals in offices and meal delivery credits as eligible.
• Relocation support for eligible employees and additional taxable fringe benefits (e.g., charitable donation matching, wellness stipends).

About OpenAI

OpenAI is an AI research and deployment company focused on ensuring general-purpose artificial intelligence benefits all of humanity. OpenAI emphasizes safety, diverse perspectives, and inclusive hiring practices. Background checks will be administered in accordance with applicable law. Reasonable accommodations for applicants with disabilities are available upon request.