Product Manager - Early Career, AI Platform

Addepar is seeking an Early Career Product Manager to join the AI product management team. The team owns flagship AI products, including Addison, agentic workflows, and the Addepar MCP, with a mission to accelerate front- and back-office work for the investment industry. The role offers hands-on experience across the full product lifecycle, working alongside senior PMs in a high growth, fast-moving environment.

Responsibilities

Drive the end-to-end development of new AI features: help scope requirements, write specs, partner with engineering, design, and GTM to get them built and launched; Dig into how clients actually use AI products today, surface what's working and what isn't, and turn those insights into actionable product recommendations; Own well-defined pieces of the roadmap under the mentorship of senior PMs, with increasing autonomy; Get hands-on with AI tools and techniques, including prompting, evaluating agent behavior, and understanding what makes an AI feature work in practice; Define product analytics focused on usage patterns, adoption, and feature performance; Support operations, maintain product documentation, and triage incoming feedback and bugs; Work directly with cross-functional partners in engineering, design, marketing, and go-to-market to keep execution tight and stakeholders aligned

Requirements

0–2 years of professional experience; Genuinely excited about AI and how it's changing what products can do; Sharp analytical instincts; A bias for ownership; Excellent written and verbal communication; Comfortable communicating with senior stakeholders; Low ego, high accountability; Drawn to fast-paced, high-growth environments; Legally authorized to work in the United States without requiring current or future visa sponsorship; Authorized to begin work in the U.S. on the first day of employment

Nice to have

Strong internship, research, or project experience in a fast-paced, analytical environment; Curiosity about financial services and fintech; Experience speaking or working directly with clients; Engineering or CS background