AI Product Manager

🕒 il y a 12 jours

🎸 Tennessee – Distant

infoinfo

💵 $275 000 - $300 000 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

✅ Responsable Produit

🗣️🇺🇸🇬🇧 Anglais requis

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Gainsight

1001 - 5000 employés

☁️ SaaS

🤝 B2B

🏢 Entreprise

💰 €52 000 000 Series E - Gainsight en 2017-05

SaaS • B2B • Enterprise

Gainsight est une entreprise SaaS qui propose une plateforme unifiée de Customer Success et des produits connexes pour aider les entreprises à fidéliser, développer et encourager l'adoption de produits auprès de leurs clients. Son offre comprend Gainsight CS (customer success), Product Experience (analyses et interactions en application), Customer Communities, Skilljar (formation client), ainsi que des agents et services alimentés par l'IA (Staircase AI, Agent Studio, Gainsight MCP) pour révéler des insights et automatiser les workflows de customer success. Gainsight se positionne comme une solution d'entreprise native en IA pour les équipes post-vente, en mettant l'accent sur la rétention en tant que service, les données clients intégrées et l'évolutivité pour les CSMs et les équipes produit.

Description

• 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

🎯 Exigences

• 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

🏖️ Avantages

• 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

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