Gainsight AI Product Manager at Gainsight leads end-to-end deployment of Atlas AI native service for strategic customers. Manages technical implementation, business case, renewals, and product feedback in a customer-embedded environment.
Responsibilities
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.
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.
Qualification
Experience with AI native servicesHands-on technical fluencySound judgment under ambiguityNice-to-have skills or experienceBackground in customer successWhy You’ll Love It HereOur Compensation and Benefits
Required
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
Why You’ll Love It Here:
Gainsight is a place where innovation is shaped through collaboration, curiosity, and a shared focus on solving real-world problems. With a growing suite of products across customer success, product experience, community, education, and AI-powered relationship intelligence, we continue to evolve with the needs of our customers. When people with diverse strengths, a strong sense of community, and true passion for our mission come together, they drive greater impact and create lasting value. What underpins it all is a culture that offers the stability, trust, and support that people need - not just to do the job, but to show up as themselves and feel connected to the work they do. Gainsters love working here for several reasons. Here are a few:
Our Compensation and Benefits: At Gainsight, we believe great work happens when teammates feel fully supported.
