Senior Product Manager, Agentic Products

About the role

The Build the Future of AI for Financial Advisors role at Advisor360° is a 0→1 product role with real ownership. You won't be optimizing the margins of an existing feature—you'll be deciding what should exist in the first place. This role is remote or hybrid, working three days per week onsite in our Needham, MA headquarters.

Agentic Product Strategy & Delivery

• You are the product owner for Advisor360°'s advisor-facing agentic experiences. The platform team provides the foundation (LLMs, RAG, agent infrastructure).
• You decide what to build on top of it and why. Own the product strategy, roadmap, and delivery of agent-powered products across advisor workflows: intelligent onboarding, client servicing, compliance, and emerging use cases.
• Define new AI product concepts from 0 to 1, taking them from discovery through launch and iteration with a bias toward rapid experimentation.
• Translate advisor needs and firm-level goals into product requirements that AI Engineering and Design can execute against.
• Own quality and release decisions for your products; you define what "good" means for end users and hold the bar on what ships.
• Define experiments and measure outcomes using data and KPIs to validate product-market fit, assess feature success, and surface opportunities for improvement.

Customer Discovery & Go-to-Market

• You will spend real time with advisors and firms to make sure what we build actually solves their problems.
• Lead product launches in partnership with sales, marketing, training, and customer success, with a strong focus on measurable adoption and business impact.
• Manage projects from concept to launch, including continuous product discovery, rapid prototyping, writing technical requirements, and conducting user testing to ensure high-quality outcomes.
• Develop and validate pricing, packaging, and positioning for AI capabilities in collaboration with go-to-market teams.

Cross-Functional Leadership

• You will sit at the intersection of AI Engineering, Data Science, Design, and the business. Your job is to keep these teams aligned on what matters and move together.
• Partner closely with PMs across the business to ensure product needs show up in platform and data roadmaps; you are their most important internal customer.
• Collaborate with Compliance and Legal to ensure AI behavior stays predictable, explainable, and appropriate for regulated use cases.
• Foster an empowered, outcome-focused team culture where cross-functional teams have the autonomy and tools to make key product decisions.
• Guide and mentor other Product Managers on best practices, including PSVs, PRFAQs, and WBRs; act as a thought leader for AI product innovation within Advisor360°.

Core Requirements

• 7+ years of product management experience, with a track record of delivering AI-powered or technically complex B2B products, ideally including experience taking a product from 0 to 1.
• Deep customer empathy and strong product discovery instincts. You have spent real time with users, and you know how to translate what you learn into products that work.
• Strong enough technically to work productively with AI Engineering and Data Science teams. You understand how ML, LLMs, RAG, and agentic systems work enough to make good product tradeoffs.
• Experience defining quality criteria, success metrics, and release standards for products where "correctness" is not binary; you are comfortable with probabilistic systems and know how to set the bar.
• Pristine communication skills who can translate between engineering depth and executive context.
• Data-fluent: comfortable with SQL, BI tooling, and using quantitative evidence to make product decisions.

Preferred Experience

• Experience in financial services, wealth management, or another highly regulated industry (fintech, healthcare, legal tech) where compliance and trust serve as design constraints, not afterthoughts.
• Experience launching AI-powered products to enterprise customers; you understand the adoption curve and the trust gap.
• Strong understanding of the wealth management value chain: advisor workflows, BD/RIA dynamics, firm-level economics.
• Experience with pricing, packaging, or commercialization of AI/SaaS capabilities.