Product Manager, OnCorps AI

• Domain Expertise: 5+ years of experience in Financial Services, FinTech, or RegTech. You should be deeply familiar with institutional finance operations (e.g., Asset Management, Fund Accounting, or Regulatory Reporting)
• Product Lifecycle Management: Proven track record of taking complex data products from initial concept through to successful market launch
• Hands-on Project Management: Experience managing technical workstreams using Agile/Scrum methodologies. You should be comfortable using Jira, Confluence, or similar tools to track velocity and capacity
• Data Literacy: Ability to work closely with Data Scientists. You don’t need to code, but you must understand how data inputs, model training, and output validation impact the final financial product
• Communication: Exceptional ability to explain complex technical or financial concepts to both engineers and C-suite executives

Desirable

• We are seeking a talented and motivated Product Manager to join our rapidly growing team. You'll work alongside a team that's redefining what's possible in capital markets technology, while collaborating closely with leadership in a fast-moving, high-agency environment
• As Product Manager, you will sit at the intersection of financial expertise, artificial intelligence, and disciplined execution
• This is a "player-coach" style role that requires both high-level product strategy and hands-on project management
• This is a high-impact role where you will combine deep financial intuition with disciplined technical execution
• You will be the bridge between complex global regulations and the code that automates them
• You will be responsible for defining the future of AI-driven financial oversight while ensuring that our development cycles are predictable and high-quality
• You must understand the nuances of institutional finance to ensure our products are solving the industry’s most pressing challenges
• Product Strategy & Financial Services Domain Leadership
• Vision & Roadmap: Define the long-term strategy for one or more product areas, ensuring it evolves ahead of shifting global financial regulations (e.g., SEC, FCA, ESMA)
• Domain Expertise: Act as the internal subject matter expert on financial workflows, ensuring the AI models are solving for the right "edge cases" in financial data
• KPI Management: Establish and track product success metrics centered on operational efficiency, risk reduction, and ROI for institutional clients
• Project Management & Execution
• Delivery Management: Own the end-to-end delivery lifecycle. You aren't just defining the "What"; you are managing the "When" by building sprint plans, managing backlogs, and removing technical blockers
• Requirement Architecture: Translate complex financial requirements into detailed PRDs, user stories, and acceptance criteria that Engineering and Data Science teams can execute upon
• Cross-Functional Sync: Lead the "rhythm of the business": sprint planning, stand-ups, and retrospectives, ensuring Engineering, Design, and QA are aligned on high-stakes deadlines
• Stakeholder & Risk Management
• Risk Mitigation: Identify potential project risks (data gaps, technical debt, scope creep) early and implement mitigation strategies to maintain momentum
• Client Alignment: Partner with Sales and Customer Success to ensure product launches are seamless and that internal teams are equipped with the technical knowledge to support global FS clients