Product Manager

The Product Manager owns product planning and execution across the full product lifecycle — gathering and prioritizing customer and market requirements, defining the product vision, establishing product strategy, and working closely with Engineering, Design, Sales, Marketing, and other stakeholders to build and launch successful products and capabilities. Modern product management moves faster than it used to. We expect our PMs to work fluently with AI tools and with our design system, using both to compress the distance between an idea and something a customer can actually react to. In practice that means synthesizing research in hours rather than weeks, producing clickable prototypes instead of static wireframes, and pressure-testing hypotheses with working artifacts before committing engineering capacity. The bar is not “uses AI” — it is judgment about where AI accelerates the work and where human verification is non-negotiable. The Product Manager brings the team a deep knowledge of users, the market, how existing products are actually used, and which outcomes matter most. The PM establishes and tests product hypotheses and ensures investments support the company’s overall strategy and goals. Together, Product Management, Design, and Engineering discover, plan, and build effective solutions that deliver on the product vision. The Product Manager is the evangelist for their product area — providing transparency into the product development process, building alignment across company stakeholders, and effectively sharing the product vision and strategy. RESPONSIBILITIES Vision, Strategy & Roadmap Develop, validate, and communicate the product vision and strategy for your assigned areas. Own and maintain product roadmaps, communicating status, sequencing, and trade-offs to internal stakeholders. Partner with Product Leadership to prioritize your area within the overall portfolio, and identify and manage cross-team dependencies. Participate in product pricing and packaging decisions. Discovery & Research Conduct user and market research to build a deep understanding of user and buyer personas, critical customer segments, and the competitive landscape. Use AI-assisted research and synthesis — interview transcription and thematic analysis, support-ticket and usage-data mining, competitive teardowns — to shorten time-to-insight, while validating conclusions with real customers rather than trusting model output. Frame explicit hypotheses, define what evidence would disprove them, and run lightweight experiments before large investments. Work directly with product and usage data — query it, chart it, and size opportunities without waiting on an analyst. Design, Prototyping & Definition Partner with Design on exploratory, interaction, and fit-and-finish work. Build your own low- and mid-fidelity mockups and clickable prototypes using our design system and AI-assisted prototyping tools — enough fidelity to test a…