Senior Product Manager

August 29

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Logo of Gainsight

Gainsight

SaaS • B2B • Artificial Intelligence

Gainsight is a leader in the field of Customer Success Platforms, recognized in the 2024 Gartner® Magic Quadrant. It offers a comprehensive suite of products designed to enhance customer engagement, drive retention, and expand business growth. Gainsight's platform provides real-time, AI-powered insights across customer interactions, enables digital-led strategies for customer success, and enhances user adoption through in-app engagements and product analytics. The company aims to consolidate customer data, align business teams, and create efficient customer communities. With a focus on scaling customer journeys using AI while maintaining human elements, Gainsight serves a wide range of industries through its customer success management solutions.

1001 - 5000 employees

Founded 2013

☁️ SaaS

🤝 B2B

🤖 Artificial Intelligence

📋 Description

• 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.

🎯 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. • You26ve 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. You00re 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. (nice-to-have) • Exposure to pricing & packaging for consumption-based or value-based SaaS models. (nice-to-have) • Track record co-developing products with large enterprises or strategic design partners. (nice-to-have)

🏖️ Benefits

• fully covered medical premiums (employee-only) • flexible PTO • 401(k) plan • dental and vision coverage • remote work options • $10,000 lifetime fertility stipend • access to coworking spaces around the globe • Recharge Holidays - one long weekend each quarter to relax and reset

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