Gainsight is an AI-powered retention engine behind the world’s most customer-centric companies, seeking a full-time Senior Product Manager to join their Product team. The role involves shaping Gainsight's new Atlas suite by delivering AI-powered autonomous agents and requires strong skills in product strategy, execution, and cross-functional collaboration.
Responsibilities:
- Own the agent roadmap. Frame the product vision, turn ambiguous problems into hypotheses and MVPs, and maintain a clear, data-backed backlog that ladders to Atlas and Gainsight OKRs
- Partner with customers. Conduct discovery with Sales, CS, and Professional Services leaders to deeply understand workflows, pricing sensitivities, and success criteria after the deal closes. Validate solutions via rapid prototypes and live pilots
- Drive execution with engineering & design. Write crisp PRDs / specs, craft prompts, and iterate quickly with LLMs and tools like Lovable, Cursor, etc. Facilitate sprint rituals and unblock the team
- Measure & iterate. Define success metrics, set up analytics, and run A/B tests to optimize agent performance, usability, and commercial impact
- Evangelize & enable. Train Sales and CS on positioning and pricing, craft release notes and demos, and present progress to exec sponsors and enterprise customers
- This is not a complete list of responsibilities, and the scope of the role may evolve with the needs of the team and business
Requirements:
- 3–5 + years of SaaS PM experience shipping production-grade products (ideally AI/ML-driven) with meaningful user adoption
- Ability to speak enterprise post-sales fluently. You've built or sold tools for Customer Success, Renewals, Professional Services, or adjacent revenue teams, and know their KPIs and pain points
- Prototype with AI daily. You're comfortable prompting GPT-4o, chaining calls, evaluating models vs. RAG pipelines, and hacking quick demos in Python/TypeScript or no-code tools
- Experience of making data your co-pilot. You interrogate Snowflake or BigQuery, run funnel analyses, and translate insights into product bets
- Communicating like a founder. Whether writing a one-pager, running a customer call, or debating trade-offs with engineers, you clarify the 'why,' inspire action, and welcome feedback
- Thriving in ambiguity. Deadlines excite you, hats are interchangeable, and 'good enough this week' beats 'perfect next quarter.'
- Prior software engineering, data-science, or agentic-framework (LangChain, AutoGen, CrewAI, etc.) experience
- Exposure to pricing & packaging for consumption-based or value-based SaaS models
- Track record co-developing products with large enterprises or strategic design partners