Senior Product Manager, Data & AI Products; R14077
Listed on 2026-07-04
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IT/Tech
AI Business & Operations, Business Systems/ Tech Analyst, Data Analyst, Business Intelligence -
Business
AI Business & Operations, Business Systems/ Tech Analyst, Data Analyst, Business Intelligence
Senior Product Manager, Data & AI Products (R14077)
Remote - India
About OportunOportun (Nasdaq: OPRT) is a mission-driven financial services company that puts its members' financial goals within reach. With intelligent borrowing, savings, and budgeting capabilities, Oportun empowers members with the confidence to build a better financial future. Since inception, Oportun has provided more than $21.3 billion in responsible and affordable credit, saved its members more than $2.5 billion in interest and fees, and helped its members set aside an average of more than $1,800 annually.
Workingat Oportun
Working at Oportun means enjoying a differentiated experience of being part of a team that fosters a diverse, equitable and inclusive culture where we all feel a sense of belonging and are encouraged to share our perspectives. This inclusive culture is directly connected to our organization's performance and ability to fulfill our mission of delivering affordable credit to those left out of the financial mainstream.
We celebrate and nurture our inclusive culture through our employee resource groups.
We're looking for a Senior Product Manager to own and scale Oportun's internal data products and lead our Gen AI analytics initiative. This role sits at the intersection of data infrastructure, AI/ML, and product strategy. You'll own critical data products that power Capital Markets, FP&A, and Enterprise Analytics while building the next generation of AI powered data access tools. You'll be building internal products that make Oportun's data more accessible, trustworthy, and actionable.
Your users are analysts, data scientists, finance and other business teams, and executives who depend on data to make high‑stakes decisions every day. If you're excited by the idea of applying product thinking to data infrastructure and AI systems, and you want to work on problems that span forecasting models, capital markets operations, semantic layers, and agentic AI, this role is for you.
You will lead product strategy for Oportun Research, our AI‑powered analytics assistant. This means defining the roadmap, working with engineering on agentic capabilities, designing human‑in‑the‑loop workflows, and driving adoption across the org.
Data Products Portfolio- Merlin:
Our suite of forecasting models powering Collateral Revenue, Fair Value, and related corporate forecasting. You'll drive the roadmap from current state through advanced time‑series capabilities. - Cosmos:
Our Capital Markets data platform handling pledging operations, concentration management, and investor reporting. - HITL Platform:
The Human‑in‑the‑Loop system for capturing institutional knowledge, validating AI outputs, and building feedback loops that make our data and AI systems smarter over time.
You'll partner with analytics engineering to ensure our semantic layer is comprehensive enough to support AI‑powered querying. This means understanding metric definitions, data certification status, and how to expose the semantic layer as an API for AI agents.
What Success Looks LikeIn the first 90 days:
- Deep understanding of Merlin, Cosmos, and the HITL platform architecture and roadmaps
- Relationships built with key stakeholders across Capital Markets, FP&A, Risk, and Engineering
- First iteration of Oportun Research product requirements and pilot scope defined
In the first year:
- Oportun Research launched and demonstrating measurable reduction in analyst use
- Merlin advanced forecasting capabilities (scenario planning, time‑series optimization) in production
- HITL platform operational with feedback loops capturing institutional knowledge
- Clear metrics showing self‑service adoption growth and response quality
- 6-10+ years of product management experience, with at least 3 years focused on data products, analytics platforms, or AI/ML systems
- Track record of shipping data‑intensive products in complex enterprise environments
- Experience working with data engineering, analytics engineering, and/or ML engineering teams
- Familiarity with the modern data stack (warehouses, semantic layers, BI tools,…
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