Remote
AI Product Manager
About this role
We’re building the AI-driven future of customer success, from retention to growth! We’re building the AI-driven future of customer success, from retention to growth! Gainsight is the AI-powered retention engine behind the world’s most customer-centric companies. The Gainsight CustomerOS platform orchestrates the customer journey from onboarding to outcomes to advocacy. More than 2,000 companies trust Gainsight’s applications and AI agents to drive learning, adoption, community connection, and success for their customers.
To explore how our suite of solutions is shaping the future of customer success, check out the link https://www.gainsight.com. About This Role: We’re looking for a full-time AI Product Manager to join our Product team reporting to the CTO. This role is a remote role based in the USA. In this role, you'll play a key role in helping strategic customers succeed with Atlas, Gainsight's AI native service, by embedding with their teams to own each deployment end to end, from technical implementation and the business case to renewals and product feedback.
This is a great opportunity for someone who thrives in a forward-deployed, ambiguous, customer-embedded environment and enjoys working cross-functionally with teams like Engineering, Support, Services, and Renewals. The ideal candidate brings strong skills in technical product management, senior stakeholder communication, and ROI modeling. What You'll Do: Deploy Atlas in customer environments - Own the customer engagement from discovery through full scope delivery.
- Define and document implementation requirements for each account, validated against the customer's real data and workflows. - Own resolution of blockers across support, engineering, and the customer's IT. - Lead the technical implementation of Atlas agents inside customer tenants: data mapping across objects, fields, and tokens, connector configuration, and authentication setup spanning DNS, SSO, and Salesforce integrations.
- Support the rollout of AI agents alongside an AI native services team leveraging both agentic and human engagement. - Own roadmap prioritization of each deployment and reconcile it against broader customer and engineering requirements. Build and defend the business case - Construct ROI models and value narratives tailored to each account, and present them with credibility to customer leadership. - Run go or no-go reviews on new opportunities, weighing business cases against effort and upside, and make a clear recommendation.