Product Manager, Financial Services

OpenAI is building AI products for serious professional work. Were going deep on finance with a committed team focused on unlocking the potential of AI in this vertical: working closely with industry experts and users to build bespoke solutions that help finance professionals do real work.

OpenAIs Financial Services team works closely with customers to understand where AI can improve the economics and quality of financial work: faster diligence broader research coverage sharper client materials more accurate models and better investment analysis. Our work spans workflows across investment banking equity research private equity asset management wealth management insurance and other parts of finance. We bring together OpenAIs models financial data and enterprise knowledge to build products that fit how financial professionals work.

Were looking for a Product Manager to help define and build OpenAIs financial services products. Reporting to the GM of Financial Services you will own product strategy roadmap and execution for key experiences taking them from customer discovery and early prototypes through launch adoption and iteration. This is a hands-on role. You will spend time with bankers investors analysts and other finance professionals; build and test early product experiences; and work closely with Engineering Design Research and customer-facing teams to ship. You should have strong judgment about both the product experience and the work it produces. You will also form a vision for how AI can change the financial services space and can translate that into product execution.

• Own product strategy and priorities. Work with the GM to identify the most valuable customer problems and translate them into a clear roadmap. Make decisions about what to build what to defer and where partners or shared OpenAI capabilities can best meet the need.

• Go deep on financial workflows. Sit with customers observe how they work and understand the documents they create data they trust tools they use and standards they apply. Use those insights to design experiences that customers return to in their daily work.

• Build and ship. Create working prototypes demos example outputs and product requirements using Codex and other OpenAI tools. Partner with Engineering and Design to turn early concepts into reliable products resolve dependencies and drive delivery through launch and iteration.

• Raise the bar for quality and trust. Work with Research and Engineering to turn real finance tasks and product failures into evaluations datasets and model feedback. Define what good looks like across accuracy source traceability completeness and ease of review while making practical tradeoffs across quality latency reliability and cost.

• Make products work inside financial institutions. Translate integration data-access privacy security and review requirements into product decisions. Work across Legal Security Partnerships and core product teams to address deployment barriers and determine which needs require finance-specific solutions.

• Measure results and drive adoption. Define success through task completion output acceptance repeat usage time saved and business impact. Combine product data evaluations and customer feedback to guide investment. Partner with GTM and customer-facing teams on pilots onboarding and launches then use what you learn to improve the product.

• Have a track record of taking complex products from discovery through launch and sustained adoption as a product manager founder or builder with substantial product ownership.

• Understand financial work well enough to earn credibility with demanding practitioners. You may have built products for financial institutions or worked directly in investment banking investing equity research corporate development or related fields.

• Combine strong product taste with attention to detail. You care about making complex workflows feel simple and can judge both the experience and the quality of its outputs.

• Work comfortably with engineers and researchers on model behavior data quality integrations and evaluations. You can distinguish a model limitation from a data workflow or product-design problem.

• Use AI deeply in your own work and build prototypes to test ideas. You are willing to teach onboard debug and inspect outputs alongside customers.

• Know how to choose useful goals and metrics test assumptions and change priorities when the evidence changes.

• Bring sound judgment about privacy trust and accuracy in consequential professional work.

• Take ownership in ambiguous situations drive decisions across teams you do not manage and communicate clearly. You can set direction and stay close to the details required to ship.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core and to achieve our mission we must encompass and value the many different perspectives voices and experiences that form the full spectrum of humanity.

We are an equal opportunity employer and we do not discriminate on the basis of race religion color national origin sex sexual orientation age veteran status disability genetic information or other applicable legally protected characteristic.

For additional information please see OpenAIs Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws including the San Francisco Fair Chance Ordinance the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct adverse and negative relationship with the following job duties potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary confidential and non-public addition job duties require access to secure and protected information technology systems and related data security obligations.

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