Compound
A family office for tech employees and founders. Built by engineers who understand QSBS and CFAs who understand APIs.
Senior Product Manager
Location
United States
Posted
34 days ago
Salary
Not specified
Bachelor Degree5 yrs expEnglishSQLGo
Job Description
• Own execution across the product lifecycle: Partner directly with financial advisors and operations staff to deeply understand workflows, pain points, and opportunities
• Rapidly translate user needs into product improvements and new features
• Write clear specs that engineers can run with — not 40-page PRDs, but enough to ship confidently
• Make pragmatic, high-quality decisions with imperfect information
• Measure what matters — define success metrics, instrument features, and use data to iterate
• Collaborate across the team: Work closely with engineering to scope, prioritize, and ship — you'll be in the code reviews, not just the standups
• Handle light design work initially; partner with external design resources as needed until we build internal design capacity
• Communicate tradeoffs clearly to leadership — no jargon, just clear thinking
• Shape our AI-first roadmap: Contribute to defining how AI agents will transform wealth management
• Go deep on model evals, agent architecture, and production deployment of AI tools
• Help build our Copilot — a natural-language interface for advisors to query client context
Job Requirements
- 2-5 years in a PM role (total experience 6-12 years)
- More hands-on IC than team lead or org-builder
- You've shipped real products to real users, not just roadmaps
- Sharp on financial concepts — you know what "alts" are, understand tax-loss harvesting vs. tax planning, and can speak the language
- Fintech or wealth management exposure is a strong advantage for ramp speed
- Strong interest in AI tooling and how it changes product development
- Comfortable being hands-on in modern tools — Figma, Claude Code, SQL, etc.
- You don't need to write production code, but you can read it and talk to engineers in their language
Benefits
- Direct access — real customers, fast feedback loops, no layers between you and impact
- Small team, high ownership — 6 engineers today, growing to 16 over 18 months
- AI in production — opportunity to build and deploy AI tooling with rapid feedback loops, not just experiment
- Operators who build — our advisors and ops team are partners, not just stakeholders
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