Sr. Product Manager, Data Products

Aduro Advisors is a modern fund administrator making a transition towards productizing high-fidelity data generated through their services. They are seeking a Senior Product Manager to lead the development of data products by conducting customer discovery, defining business cases, and delivering prototypes.

Responsibilities:

• Own the discovery plan: Design and run a high quantity of customer interviews in Year 1 across priority segments
• Define the ideal customer profile and business case: Validate use cases, buyer personas, pricing and packaging hypotheses, and willingness to pay
• Ship a customer-facing prototype: Drive the end-to-end loop from hypotheses to requirements to prototype delivery. Work with marketing, client services, and other cross-functional teams to launch
• Partner with engineering: Work as a close partner to the Data Engineer on sequencing, feasibility, and quality tradeoffs
• Establish Success Metrics: Set and track clear Year 1 outcomes that validate product-market fit and see a path to meaningful revenue
• Navigate Governance & Compliance: Partner with legal/compliance stakeholders to ensure products adhere to privacy, anonymization, and opt-in guardrails
• Communicate clearly: Provide concise updates on learnings, decisions, risks, and next steps

Requirements:

• Data product experience: analytics, data platforms, APIs, or data-heavy B2B SaaS
• 5+ years of product management experience, including early-stage product discovery in ambiguous problem spaces
• Strong customer discovery skills: interviewing, synthesis, problem framing, and experiment design
• Excellent communication: you can distill ambiguity into clarity and write crisply for broad audiences
• Systems thinking: you understand how data quality, governance, and workflows impact product outcomes
• Bias for action: you can push work across the finish line in a fast-moving environment
• Private markets, fund administration, fintech, or institutional investing domain exposure
• Experience with data privacy/anonymization concepts and regulated environments
• Familiarity with monetization models for data products (subscriptions, usage-based, licensing)