Staff Product Manager - AI Platform

The Role

We are seeking a Staff Product Manager to join the AI Platform team. Our team is responsible both for our central AI Platform that powers AI capabilities across Addepar’s platform, as well as, owns some of our flagship AI products like Addison.

As a Staff Product Manager, you’ll take a leadership role in defining the product management function for a new organization. You’ll also lead zero-to-one product efforts, building and scaling net new product offerings in a high growth, fast moving environment - leveraging the latest and greatest in agents, agentic workflows, and LLMs to build transformative new products that deliver value to clients. This role will require working closely with engineering, design, product, marketing, go-to-market to drive new AI products to success.

This is a highly cross-functional and visible role suited for a hands-on builder who thrives at the intersection of AI, customer-centric product development, and financial technology.

Addepar takes a market-based approach to pay. A successful candidate’s starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The range displayed on each job posting reflects the minimum and maximum target base salary for roles in Colorado, California, and New York.

The current range for this role is $142,000 - $223,000 (base salary) + bonus + equity + benefits. 

Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits.

Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B, F-1/OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment.

What You’ll Do

• Shape the product direction and execution for AI at Addepar, turning strategy into roadmaps and execution
• Execute on zero-to-one AI products, from design to development to launch and scale - working deeply with clients to drive success
• Own the product roadmap for some of our fastest growing and highly visible AI products, scaling them across our client base
• Work across engineering and product to understand different domain contexts and build a scalable AI platform to enable rapid solutions development across Addepar
• Partner closely with engineering, product, design to execute on new products in a highly-iterative and fast moving team culture
• Mentor and support other product managers and establish product rituals and product management discipline in a newly formed organization

Who You Are

• At least 5+ years of experience in Product Management, ideally in Fintech, SaaS, or AI product development environments
• A hands-on builder who enjoys vibe coding, keeping up with the latest and greatest AI tools, likes to get their hands dirty and turn potential into action with AI
• A systems thinker who can distill complexity into clear product strategy and design client-centric solutions
• Agility to keep up with the latest and greatest in AI technology and industry trends
• Familiarity with core AI / LLM concepts like prompting, reinforcement learning, retrieval, agents / tool use, evaluations
• Experience in developing deep domain context in a new industry and working with cross-functional domain experts to drive impact
• Experience building AI products, with proven expertise in building both zero-to-one products and scaling commercial products
• A disciplined product operator—familiar with agile/lean delivery, PRD writing, and driving execution through cross-functional teams
• Data-driven and outcome-oriented; you naturally define KPIs, validate assumptions, and prioritize based on impact
• Exceptional communicator who builds alignment across Product, Engineering, and Go-to-Market teams
• Thrives in ambiguous, fast-growing environments and brings structure, process, and clarity where needed