About the role
About the Team
OpenAI’s Forward Deployed Engineering team partners with banks, asset managers, insurers, and private capital firms to deploy production-grade AI systems in high-stakes financial environments. We operate at the intersection of customer delivery and core platform development, embedding deeply with customers to translate frontier model capabilities into reliable, auditable systems that create measurable business impact. Our work turns early deployments into repeatable solution patterns, operating standards, and evaluation practices that scale across regulated financial institutions.
About the Role
As a foundational FDE manager, you’ll lead FDE through high-stakes, ambiguous financial services deployments and own technical and business value outcomes end to end. You’ll grow a team that can operate under pressure and help OpenAI learn from the field. You will work with customers who are experts in investment banking, trading, risk, compliance, underwriting, research, operations, or investment decision-making, translating complex workflows, data constraints, and regulatory requirements into production systems.
You’ll partner closely with Product, Research, Sales, and GTM to ensure fieldwork informs roadmap priorities, drives new exploration, and supports safe deployment at scale. Your decisions will influence how OpenAI is trusted by the customers closest to our deployment work. Your success will be measured by how consistently your team ships, how clearly you deliver signal to Research and Product, and how durable your team and delivery model prove to be.
This role is based in New York City We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. This role also will require travel up to 25%.
In this role, you will
- Lead and grow a team of FDE delivering production systems with frontier models
- Own end-to-end delivery outcomes through clarity, speed, tight coordination, and technical quality
- Codify what works into tools, playbooks, and roadmap inputs that create leverage for both OpenAI and our wider developer community
- Notice early indicators and raise them with urgency, whether in product behavior, customer environments, or delivery practices
- Use judgement to distinguish what requires action and what does not
- Set a high bar for FDE performance and support each person’s growth through direct, actionable feedback
- Define how we staff and support field teams that can scale without added complexity