AI Product Manager

Gainsight

. Own customer engagements from discovery through full-scope delivery .

Posted 10/9/2026full-timeRemote • Tennessee • United StatesMid-LevelSenior💰 $275,000 - $300,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing customer engagements and technical implementations, with a strong focus on AI-native services, data modeling, and integration-heavy software. Capable of constructing ROI models and collaborating cross-functionally to drive product improvements and customer success.

Highest-signal resume keywords

Product Management ExperienceAI Native ServicesData ModelingAPIs and ConnectorsROI Model Construction

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data MappingConnector ConfigurationAuthentication SetupSQLMachine Learning ModelsDistributed SystemsRAGLLMsImplementation RequirementsTechnical Fluency

Soft Skills

Exceptional Relationship SkillsCommunication SkillsSound JudgmentBias to ActionProblem-Solving

Tools & Technologies

SalesforceDNSSpreadsheets

Industry Keywords

Customer SuccessRevOpsIntegration-Heavy SoftwareTechnical ImplementationCross-Functional Collaboration

Tech Stack

Tools & technologies

Distributed SystemsDNSSQL

About the role

Key responsibilities & impact

Own customer engagements from discovery through full-scope delivery
Define and document implementation requirements validated against customer data and workflows
Resolve blockers across support, engineering, and customer IT
Lead technical implementation of Atlas agents in customer tenants, including data mapping, connector configuration, and authentication setup across DNS, SSO, and Salesforce integrations
Support AI agent rollouts alongside an AI-native services team
Own deployment roadmap prioritization against customer and engineering requirements
Construct ROI models and value narratives for customer accounts
Run go/no-go reviews and make recommendations on new opportunities
Partner on services scoping and pricing
Lead renewal reviews, implementation, and outcome-based conversations
Design agentic renewal workflows and train the renewals team
Surface problems, own the path forward, and clarify ownership
Bring field insights, gaps, friction, failure modes, and recurring requests to product and engineering
Prioritize product fixes and contribute to roadmap decisions
Document configurations, failure modes, and ROI frameworks for future deployments
Collaborate cross-functionally with Engineering, Support, Services, and Renewals
Report to the CTO

Requirements

What you’ll need

3-5 years of product management experience with technically complex, integration-heavy software
Exceptional relationship and communication skills with senior stakeholders
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
Comfort with SQL or spreadsheets to build and defend ROI models
Sound judgment under ambiguity
Ability to own outcomes across support, engineering, services, and customer organizations
Bias to action and willingness to make something work before it is fully productized
Nice-to-have: background in customer success, RevOps, data, or AI and ML products

Benefits

Comp & perks

Annual bonus eligibility
Participation in Gainsight’s equity program
Fully covered medical premiums (employee-only)
Flexible PTO
401(k) plan
Dental and vision coverage
Remote work options
$10,000 lifetime fertility stipend
Access to coworking spaces around the globe
Dedicated Recharge Holidays — one long weekend each quarter
Mentoring and career development opportunities