• Develop deep expertise in Bamboo Health's Controlled Substance products, data assets, reporting solutions, customer workflows, and regulatory landscape. • Analyze complex datasets using SQL, Tableau, and other analytical tools to identify trends, customer needs, risks, and product opportunities. • Lead the discovery, prioritization, requirements definition, and delivery of reporting and data product enhancements from concept through adoption. • Partner with customers and customer-facing teams to understand needs, manage expectations, communicate tradeoffs, and distinguish between defects, enhancements, and future opportunities. • Collaborate with Product, Engineering, Analytics, Data Engineering, Architecture, and Customer Success teams to deliver scalable, customer-focused solutions. • Translate customer feedback, business needs, regulatory requirements, and data insights into clear product requirements, user stories, acceptance criteria, and success metrics. • Support roadmap decisions by evaluating customer impact, regulatory requirements, technical feasibility, operational considerations, and business value. • Contribute to data governance, reporting, metadata, and AI-enabled product initiatives that improve customer value and operational efficiency. • Support user acceptance testing (UAT), product documentation, data definitions, and customer-facing enablement materials. • Explore opportunities to enhance workflows through AI or automation tools (e.g., document summarization, task routing, or data parsing). • Identify repetitive tasks and partner with team leads to implement scalable automation solutions.

• Own the product backlog and keep priorities clear, current, and actionable • Facilitate Agile ceremonies: backlog grooming, sprint planning, stand-ups, and retrospectives • Track progress against goals, communicating updates clearly to stakeholders • Oversee testing and validation to ensure features meet acceptance criteria • Collaborate with UX/UI designers to align user experience with business intent • Document, analyze, and iterate based on user feedback and performance metrics

• Define and launch a unified merchant experience platform • Own merchant onboarding and self-service experiences • Ship AI-powered agents and workflows • Own permissions, entitlements, and shared services • Break big problems into small releases and iterate based on feedback • Partner across product teams to drive adoption

• Define the integrations and platform strategy and roadmap — the surface area that determines whether customers trust our data enough to run their GTM on it • Make reliability a product outcome, not an afterthought: uptime, data freshness, and accuracy customers never have to think about — and fast, legible triage when something does break • Ship AI agent workflows and APIs that move real GTM work across customer systems end-to-end: enrichment, sync, signal-to-action — not demos, production • Own a small set of customer relationships directly, and turn what you learn — especially where integrations make or break a renewal — into product bets the whole company can rally behind • Partner with engineering and design to make complex capabilities feel simple — self-serve integration setup a non-technical RevOps lead can actually configure, sync behavior a data team can actually trust • The instinct to complete the swing — shipping is the midpoint, not the finish line, and you'll own the work through migrations, deprecations, enablement, and the Sales and CS feedback loop that turns features into retained revenue • Raise the bar on product craft across the team — through the work you ship and the way you operate