The opportunity
Pendo is the AI-powered analytics and adoption platform for builders. The Product team builds the tools that help software teams understand how their products are used, where adoption breaks down, and what drives business outcomes.
What you'll do
Own the analytics product roadmap: define priorities, defend tradeoffs with data and reasoning, and keep the long-term direction aligned with enterprise customer needs and the broader Pendo platform.
Drive AI-powered capabilities within the analytics area: define what the AI does, how outputs are surfaced, how confidence is communicated, and where human judgment stays in the loop — with the customer problem as the starting point, not the model capability.
Run continuous discovery with enterprise customers and India-based product: and engineering teams; synthesize findings across time zones into clear, actionable product decisions without requiring a synchronous handoff.
Lead the full product lifecycle for the analytics area from early concept: through GA and post-launch iteration; make clear calls on scope, sequence, and tradeoffs and own the outcome.
Apply AI tools across the full product cycle: synthesizing discovery at scale, generating early wireframe concepts, drafting specs and competitive analyses — and share methods and findings with the broader product team.
Serve as the subject-matter expert for Sales, Customer Success, Marketing,: and Partnerships on the analytics area; translate product capability into commercial narrative and feed market signal back into the roadmap.
What they're looking for
- Write specs that engineering can act on without a verbal walkthrough;: document decisions, produce async artifacts that reduce synchronous dependency, and bring a substantive point of view to design reviews.
- + years of product management experience with a track record of owning: product areas end-to-end in a B2B SaaS environment.
- Experience defining or shipping AI-powered product features: you can work with engineering to spec what a model does, how outputs are surfaced, how confidence is communicated, and where human judgment stays in the loop.
- Demonstrated experience building for enterprise customers, including: navigating complex procurement, security, compliance, or data privacy requirements.
