Own a product end-to-end within a new AI-native product portfolio at Advisor360°, where you’ll lead a 5-person autonomous team from idea to production with full ownership of strategy, roadmap, and outcomes. This is a true business ownership role, not backlog management, you decide what gets built, why it matters, and you’re accountable for the results. In doing so, you’ll help define what agentic software development looks like in practice and play a key role in shaping a new model for building modern B2B software.
Here’s What You’ll Do:
- Identify real business problems that financial advisors face and translate them into product opportunities backed by evidence — customer interviews, workflow observation, competitive analysis, market data
- Build and maintain deep relationships with advisors to understand their daily pain points, the friction in their client relationships, and the gaps in their current technology stack
- Develop the business case for what gets built — problem sizing, competitive positioning, differentiation, and success criteria. Every feature has a "why" rooted in customer value and business impact
- Write structured product specifications that translate business needs into precise, actionable documents — your specs are the primary input to an agentic development pipeline where AI agents execute against what you write
- Own feature design and end-to-end user story creation — your user stories define the acceptance criteria that drive the team's entire test automation pipeline, from AI-generated e2e tests through regression suites
- Partner with your Tech Lead on plan review — your spec must give both humans and AI agents enough context to execute well
- Operate 6-12 weeks ahead of your team — the next three features are defined (customer problem, proposed solution, success criteria, key risks) before the current one ships
What You Bring to the Table:
- MBA from a top-tier program and an undergraduate degree in computer science, engineering, or a related technical field
- 2+ years of product management experience at a brand-name B2B SaaS company
- Minimum 1 year as a professional software engineer — you've written production code and understand engineering from the inside
- A track record of identifying customer pain points and turning them into successful products — not just shipping features, but solving problems that drive adoption and retention
- Demonstrated ability to write detailed, structured technical specifications to drive implementation
- Strong business instincts — you think about market sizing, competitive dynamics, and customer value, not just feature lists
- Exceptional written communication
- Experience designing multi-system workflows that connect disparate data sources (support platforms, analytics, CRM, communication tools) into coherent product intelligence pipelines
- Demonstrated ability to build structured frameworks for product discovery — jobs-to-be-done analysis, opportunity scoring models, or similar systematic approaches to identifying and prioritizing customer problems
- Comfort working with LLMs as a power user — prompt engineering, agent orchestration, or building AI-assisted workflows. You don't need to train models, but you need to understand what they can and can't do well enough to design reliable agent pipelines
- Experience producing board-level or executive-facing business artifacts — investment cases, quarterly business reviews, strategy narratives — and a desire to automate the grunt work behind them
- Preferred:
- Hands-on experience with MCP (Model Context Protocol) or similar tool-integration patterns for LLMs
- Experience with workflow automation platforms (n8n, Zapier, Temporal, or custom orchestration) connecting product tooling across systems
- Background in designing feedback categorization or tagging sys