AI Product Manager

This is a fully remote position, open to applicants in Tennessee.

📋 Description

• Take ownership of customer engagements from initial discovery to comprehensive delivery.

• Define and document implementation requirements that are validated against customer data and workflows.

• Address and resolve blockers across support, engineering, and customer IT teams.

• Lead the technical implementation of Atlas agents within customer environments, including data mapping, connector configuration, and authentication setup across DNS, SSO, and Salesforce integrations.

• Assist in the rollout of AI agents in collaboration with an AI-native services team.

• Manage deployment roadmap prioritization based on customer and engineering requirements.

• Create ROI models and value narratives for customer accounts.

• Conduct go/no-go reviews and provide recommendations on new opportunities.

• Collaborate on services scoping and pricing strategies.

• Lead renewal reviews, implementation processes, and discussions focused on outcomes.

• Design renewal workflows for agents and provide training to the renewals team.

• Identify issues, take ownership of the resolution path, and clarify ownership responsibilities.

• Bring insights from the field, including gaps, friction points, failure modes, and recurring requests to product and engineering teams.

• Prioritize product fixes and contribute to roadmap planning decisions.

• Document configurations, failure modes, and ROI frameworks for future deployments.

• Collaborate across functions with Engineering, Support, Services, and Renewals teams.

• Report directly to the CTO.

⛳️ Requirements

• 3-5 years of experience in product management with technically complex, integration-heavy software.

• Outstanding relationship-building and communication skills with senior stakeholders.

• Familiarity with AI native services, distributed systems, databases, training ML models, RAG, and LLMs.

• Practical technical knowledge in data modeling, APIs and connectors, authentication, and DNS fundamentals.

• Proficiency with SQL or spreadsheets for building and defending ROI models.

• Strong judgment in ambiguous situations.

• Capability to take ownership of outcomes across support, engineering, services, and customer organizations.

• Proactive approach and readiness to make solutions work before full productization.

• Preferred: background in customer success, RevOps, data, or AI and ML products.

🏝️ Benefits

• Eligibility for annual bonuses.

• Participation in Gainsight’s equity program.

• Fully covered medical premiums for employee-only plans.

• Flexible paid time off (PTO).

• 401(k) retirement plan.

• Dental and vision insurance coverage.

• Options for remote work.

• $10,000 lifetime fertility stipend.

• Access to coworking spaces globally.

• Dedicated Recharge Holidays, offering one long weekend each quarter.

• Opportunities for mentoring and career development.