AI Product Manager

Overview

Gainsight is hiring a full-time AI Product Manager on the Product team, reporting to the CTO, to help strategic customers succeed with Atlas, Gainsight's AI native service, by embedding with their teams to own each deployment end to end.

What you'll do

• 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, including 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.
• Construct ROI models and value narratives tailored to each account, and present them to customer leadership.
• Run go or no-go reviews on new opportunities, weighing business cases against effort and upside, and make a clear recommendation.
• Partner on services scoping and pricing for new deployments.
• Lead renewal reviews, implementation, and outcome-based conversations.
• Define and design agentic renewal workflows to drive specific customer goals and ensure the renewals team is trained to execute the process.
• Surface problems, own the path forward, and clarify ownership.
• Carry the reality of the field back to the core team, including gaps, friction, recurring failure modes, and recurring requests across accounts.
• Prioritize product fixes so that hard-won lessons compound.
• Contribute to internal reviews and shape the roadmap with real evidence.
• Document configurations, failure modes, and ROI frameworks in forms the next deployment can use.

What you'll need

• 3-5 years of product management experience with technically complex, integration-heavy software.
• Exceptional relationship and communication skills, with the ability to build trust quickly with senior stakeholders and stay composed in difficult conversations.
• Experience with AI native services, distributed systems, databases, training ML models, RAG, and LLMs.
• Hands-on technical fluency in data modeling, APIs and connectors, authentication and DNS fundamentals, and enough SQL or spreadsheet skill to build and defend an ROI model.
• Sound judgment under ambiguity, with the ability to run a room with senior people, make recommendations without complete information, and own the result.
• Comfort owning outcomes across teams you do not manage, including support, engineering, services, and the customer's organization.
• A bias to action and willingness to be the first person to make something work before it is fully productized.

Nice to have

• Background in customer success, RevOps, data, or AI and ML products.

Details

• Remote role based in the USA.
• Occasional travel (up to 10%) for team meetings, training, or company events.
• Starting base salary range of $275,000 - $300,000 USD annually, plus eligibility for an annual bonus and equity program.