• Prioritize work based on alignment to business priorities, cost, and expected return on investment; clearly articulate tradeoffs behind every call • Build and measure iteratively, shipping in increments and using success metric results to determine what's next – pivot or stay the course • Communicate clearly and often about what we’re building, why it's the most important thing to do, and how we will know if it worked • Use data to make decisions – from customer adoption analytics to competitor and market intelligence – know how to cut through the noise to find signal • Collaborate relentlessly with other product managers, design, engineering and go-to-market teams to release new value with speed. • Leverage AI-powered workflows to drive efficiency, reducing time-to-validation while delivering innovative solutions.

• Own the platform’s core surfaces end-to-end, including onboarding, permissions, preferences, homepage, notifications, audit trail, and reporting, from strategy through iteration. • Champion the end-to-end user experience, map real user flows and journeys, and shape intuitive, cohesive interactions across every surface. • Think in systems to design primitives and patterns that compose cleanly across products, anticipating second-order effects and prioritizing long-term foundations. • Turn messy, ambiguous horizontal challenges into concrete, elegant requirements and shipped software. • Establish direction with data, defining clear success metrics and leveraging analytics to guide future iteration. • Leverage the latest AI prototyping tools to pressure-test ideas and build rapid proofs-of-concept before committing engineering time. • Facilitate airtight coordination across engineering, design, data, and GTM functions to ship cohesive products.

• Own the backlog and story quality for a complex engagement — often spanning multiple engineering tracks or workstreams • Translate product strategy and roadmap from a 3Pillar PM or client PM into epics, stories, and acceptance criteria with a high degree of independence • Navigate ambiguity confidently: identify gaps in requirements, drive the right conversations to resolve them, and make well-reasoned decisions when direction is incomplete • Lead and facilitate backlog refinement sessions; ensure the team is never blocked waiting on story clarity • Actively participate in all Agile ceremonies as a senior, prepared contributor — and help shape ceremony effectiveness • Mentor and guide POs on the engagement; review their stories, raise the quality bar, and invest in their development • Partner with UX to ensure research findings and design decisions are translated faithfully and completely into the backlog • Communicate backlog health, scope risks, and delivery signals clearly to the PM and Delivery Lead • Champion AI-forward backlog practices — model effective use of AI in story writing, acceptance criteria, and requirements analysis; help the team adopt these habits • Contribute product context in client-facing sessions when needed — credible and clear on scope, requirements, and trade-offs

• Own the backlog and story quality for a complex engagement — often spanning multiple engineering tracks or workstreams • Translate product strategy and roadmap from a 3Pillar PM or client PM into epics, stories, and acceptance criteria with a high degree of independence • Navigate ambiguity confidently: identify gaps in requirements, drive the right conversations to resolve them, and make well-reasoned decisions when direction is incomplete • Lead and facilitate backlog refinement sessions; ensure the team is never blocked waiting on story clarity • Actively participate in all Agile ceremonies as a senior, prepared contributor — and help shape ceremony effectiveness • Mentor and guide POs on the engagement; review their stories, raise the quality bar, and invest in their development • Partner with UX to ensure research findings and design decisions are translated faithfully and completely into the backlog • Communicate backlog health, scope risks, and delivery signals clearly to the PM and Delivery Lead • Champion AI-forward backlog practices — model effective use of AI in story writing, acceptance criteria, and requirements analysis; help the team adopt these habits • Contribute product context in client-facing sessions when needed — credible and clear on scope, requirements, and trade-offs