AI Product Manager at Gainsight

Gainsight is a leading AI-powered customer success technology company helping businesses improve customer retention, strengthen relationships, and accelerate growth.

Through its innovative CustomerOS platform, Gainsight enables organizations to manage the entire customer journey, from onboarding and product adoption to customer engagement, retention, and advocacy.

Trusted by more than 2,000 companies worldwide, Gainsight combines artificial intelligence, automation, customer insights, and intelligent digital solutions to help businesses deliver exceptional customer experiences.

The company continues to expand its AI capabilities, creating exciting career opportunities for professionals passionate about technology, innovation, and customer success.

Job Description

Gainsight is recruiting an experienced and results-driven AI Product Manager to join its Product team. This is a full-time remote position based in the United States, reporting directly to the Chief Technology Officer (CTO).

The successful candidate will play an important role in helping strategic customers implement and maximize the value of Atlas, Gainsight’s AI-native service.

This position combines technical product management, artificial intelligence implementation, customer relationship management, and business strategy.

The AI Product Manager will oversee customer deployments from initial planning and technical integration through performance evaluation, business value assessment, renewals, and continuous product improvement.

The ideal candidate should be comfortable working directly with customers, managing complex technical projects, collaborating across departments, and making strategic decisions in rapidly evolving environments.

Key Responsibilities

1. AI Product Deployment and Implementation

• Manage customer engagements from initial discovery through successful implementation and delivery.
• Identify, document, and validate technical requirements based on customer data, systems, and business processes.
• Coordinate with engineering, technical support, and customer IT teams to resolve implementation challenges.
• Lead the integration and configuration of Atlas AI agents within customer environments.
• Oversee data mapping, API connections, authentication configurations, and integrations involving Salesforce, DNS, and single sign-on (SSO).
• Support the deployment of AI-powered solutions through collaboration with technical specialists and service teams.
• Establish implementation priorities while balancing customer expectations and engineering resources.

2. Business Strategy and ROI Management

• Develop financial models to demonstrate the business value and return on investment of AI solutions.
• Present implementation strategies, financial projections, and business recommendations to senior customer executives.
• Evaluate new deployment opportunities based on technical complexity, commercial potential, and expected outcomes.
• Support the development of service proposals, project scopes, and pricing strategies.
• Ensure proposed AI solutions align with customers’ operational and financial objectives.

3. Customer Success and Retention

• Oversee customer renewal discussions and performance evaluations.
• Develop AI-driven renewal processes designed to improve customer retention and business outcomes.
• Collaborate with renewal teams to ensure effective implementation of customer engagement strategies.
• Identify operational challenges and coordinate timely solutions.
• Maintain strong relationships with key customer stakeholders throughout the product lifecycle.

4. Product Development and Engineering Collaboration

• Collect customer feedback and identify recurring technical challenges, integration issues, and product improvement opportunities.
• Communicate customer experiences and implementation insights to engineering and product development teams.
• Recommend product enhancements based on actual customer needs and deployment performance.
• Participate in internal product reviews and contribute to strategic roadmap planning.
• Maintain detailed documentation of deployment configurations, technical challenges, ROI models, and successful implementation practices.
• Help improve deployment efficiency by developing reusable processes and implementation frameworks.

Qualifications and Requirements

Candidates interested in this opportunity should possess the following qualifications and professional capabilities:

• 3–5 years of experience in product management, preferably involving technically complex software products.
• Strong understanding of artificial intelligence, machine learning, and AI-powered software solutions.
• Experience working with distributed systems, databases, large language models (LLMs), and retrieval-augmented generation (RAG).
• Knowledge of AI model training and AI-native service delivery.
• Practical experience with data modeling, APIs, software integrations, authentication systems, and DNS configurations.
• Ability to work with SQL, spreadsheets, and analytical tools for business modeling and performance evaluation.
• Excellent communication, negotiation, and stakeholder management skills.
• Experience presenting technical and commercial recommendations to senior business executives.
• Strong analytical thinking, decision-making, and problem-solving abilities.
• Ability to coordinate projects involving engineering, customer support, professional services, and external stakeholders.
• Confidence managing complex responsibilities independently in a remote working environment.
• Willingness to take initiative, adapt to changing priorities, and deliver results with limited supervision.

Preferred Qualifications

Additional consideration may be given to candidates with experience in:

• Customer success management and customer retention strategies.
• Revenue operations (RevOps).
• Data analytics and data-driven product development.
• Artificial intelligence and machine learning product management.
• AI-powered enterprise software and customer engagement platforms.

Employee Benefits

Successful candidates may enjoy a comprehensive range of benefits, including:

• Health Insurance: Fully covered medical insurance premiums for employee-only coverage.
• Paid Time Off: Flexible paid leave arrangements supporting work-life balance.
• Retirement Benefits: Access to a 401(k) retirement savings plan.
• Dental and Vision Coverage: Additional insurance benefits for eligible employees.
• Remote Work: Flexibility to work remotely from an approved location in the United States.
• Fertility Support: A lifetime fertility assistance benefit of up to $10,000.
• Coworking Access: Opportunities to use coworking facilities in various locations worldwide.
• Recharge Holidays: One dedicated long weekend every quarter for rest and personal well-being.
• Career Development: Professional mentoring, continuous learning, and career advancement opportunities.
• Equity Participation: Eligibility to participate in the company’s equity compensation program.

Work Environment

Gainsight promotes a collaborative, innovative, and people-focused working environment where employees are encouraged to develop new ideas, solve complex challenges, and contribute to meaningful business outcomes.

The company emphasizes professional development, teamwork, flexibility, and a human-first organizational culture.

Employees work alongside experienced professionals across engineering, product management, customer success, and artificial intelligence.

Although this is a fully remote position, occasional travel of up to 10% may be required for company meetings, professional training, and organizational events.

How to Apply

Qualified candidates interested in the AI Product Manager position at Gainsight should visit the company’s official careers platform to explore available opportunities and submit their applications.

Applicants should prepare an updated resume highlighting their experience in technical product management, AI implementation, software integrations, business strategy, and stakeholder engagement.

Important: This is a United States-based remote position, not an unrestricted worldwide remote opportunity. Applicants should verify employment eligibility and location requirements before applying.