Sr. Product Manager - Advisor Experience
New York, United States · Remote · Full-time
- Posted 3d ago
- From Addepar’s careers page
- Location
- New York, United States
- Work mode
- Remote
- Type
- Full-time
- Level
- Senior
- Experience
- 5+ years
- Department
- Product Management
Opens the listing on job-boards.greenhouse.io
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About the role
Who We Are
Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore.
The Role
We are seeking a Senior Product Manager to lead and shape Addepar’s Advisor experience for Registered Investment Advisors (RIAs). In this role, you will own the surface area, features, and capabilities designed specifically to empower wealth managers to acquire, retain, and advise their end-clients across web and mobile platforms.
You will analyze early user feedback and adoption metrics to establish and execute a clear long-term roadmap. Sitting at the intersection of integrated ecosystem tools, like CRMs, Addepar data and technology, and AI, you will leverage artificial intelligence to turn platform data into tailored, context-aware insights for individual clients. Partnering closely with engineering, product design, user research, and client-facing teams, you will build and refine the tools and workflows that simplify daily operations for advisors.
What You’ll Do
- Build a deep understanding of the Advisor persona within the RIA segment, learning how their daily workflows connect across the broader Addepar platform.
- Collaborate with cross-functional partners and stakeholders to author a long-term product direction across mobile and web surfaces.
- Partner closely with AI and engineering teams to refine AI-powered insights, ensuring they are tailored and contextually relevant for financial advisors.
- Translate high-level business goals into clear, detailed requirements, user stories, and acceptance criteria that empower engineering teams to deliver with confidence.
- Monitor key adoption and engagement metrics to evaluate feature performance, refine workflows, and continuously elevate the Advisor experience.
- Articulate the core purpose and value behind each product initiative, ensuring go-to-market teams are equipped to drive client success.
Who You Are
- You have 5 or more years of experience in Product Management. You have navigated the full lifecycle, from launching new applications and features from the ground up to scaling and optimizing established products.
- You have practical experience incorporating AI/ML capabilities into workflow applications to deliver personalized user outcomes and streamline routine tasks.
- You have prior experience in wealth management, fintech, or the RIA ecosystem, experience working with front-office wealth advisors is a plus.
- You thrive in the cross-functional partnership across Product, Design, Engineering, and Client Success to solve complex problems and deliver intuitive user experiences.
- You balance qualitative user insights with quantitative analytics to prioritize effectively, make sound decisions, and adapt your approach as new evidence emerges.
- You excel at articulating the why behind every feature. You empower stakeholders and go-to-market partners with the narrative they need to effectively communicate value to our clients.
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About Addepar
Data and AI for financial professionalsAddepar provides a data and AI platform for financial professionals to unify data, streamline workflows and support business productivity.
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