AI Product Manager

About the 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.

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.
• Partner on services scoping and pricing for new deployments.

Stay close to outcomes

• 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 successfully execute the process.
• Surface problems, own the path forward, and clarify ownership.

Close the loop to product and engineering

• Carry the reality of the field back to the core team: the gaps, the friction, the recurring failure modes, and the requests that recur across accounts.
• Prioritize product fixes so that hard-won lessons compound.
• Contribute to internal reviews and shape the roadmap with real evidence.
• Document what you learn, configurations, failure modes, ROI frameworks, in forms the next deployment can actually use, not just the one you're in.

Additional information

This role may require occasional travel (up to 10%) for team meetings, training, or company events. This is not a complete list of responsibilities, and the scope of the role may evolve with the needs of the team and business.

What We're Looking For

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

Nice-to-have skills or experience

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

Our Compensation and Benefits

At Gainsight, we believe great work happens when teammates feel fully supported.

• The starting base salary range for this role is $275,000 - $300,000 USD annually. Actual compensation may vary based on factors such as skills, experience, and location. In addition to base pay, this role is eligible for an annual bonus and participation in Gainsight’s equity program.
• We offer a comprehensive benefits package including fully covered medical premiums (employee-only), flexible PTO, 401(k) plan, dental and vision coverage, and remote work options. Additional benefits include a $10,000 lifetime fertility stipend and access to coworking spaces around the globe. You'll also enjoy dedicated Recharge Holidays - one long weekend each quarter to relax and reset.

• Our Core Values: We are guided by our values and our mission to be living proof you can win in business while being Human-First.
• Our Growth Opportunities: From mentoring to career development opportunities, we’re passionate about helping our teammates learn, grow, and thrive.
• Our Parody Videos: No explanation needed. Just watch them here!
• If this sounds like the right role for you, we’d love to hear from you.

Additional Information

If you require accommodations or have questions about how your personal data will be used during the hiring process, please contact.