Product Manager, Early Career, AI Platform

About the Role

Addepar is a global data and AI platform empowering investment professionals. The AI product management team owns flagship AI products. The mission is to accelerate front- and back-office work for the investment industry. This role will provide hands-on experience across the full product lifecycle, working alongside senior PMs in a high growth, fast-moving environment. The role requires working closely with engineering, design, product, marketing, and go-to-market teams to drive new AI products to success.

Key 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 our AI products, surface what's working and what isn't, and turn those insights into clear, actionable product recommendations.
• Own well-defined pieces of the roadmap under the mentorship of senior PMs, with increasing autonomy.
• Get hands-on with the AI tools and techniques the team uses daily, 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.
• Help the team stay organized and move fast: 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 & Tech Stack

• Conversational AI
• Agents
• MCP (Messaging Communication Protocol)
• AI tools and techniques
• Prompting
• Agent behavior evaluation
• Product analytics (usage patterns, adoption, feature performance)

Qualifications

• 0–2 years of professional experience; strong internship, research, or project experience in a fast-paced, analytical environment is a plus.
• Genuine excitement about AI and its impact on products.
• Demonstrates use of AI tools, keeps up with new developments, and has opinions on the future of AI.
• Sharp analytical instincts: comfortable breaking down ambiguous problems, working with data, and reasoning to recommendations.
• Bias for ownership: proactive in asking questions, planning, and execution.
• Excellent written and verbal communication skills, capable of explaining technical ideas clearly to engineers and clients.
• Comfortable communicating with senior stakeholders.
• Low ego, high accountability.
• Drawn to fast-paced, high-growth environments.
• Curiosity about financial services and fintech is a plus, but not required.
• Experience speaking or working directly with clients is a plus, but not required.
• Engineering/CS background is a plus, but not required.
• Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship.