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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in defining product vision and strategy for AI platforms, with a strong focus on orchestration, personalization, and governance. Proven ability to influence cross-functional teams and mentor product leaders while driving platform adoption and quality standards.
Highest-signal resume keywords
Product Management ExperienceAI/ML Platform LeadershipTechnical Fluency in AI ProductsInfluencing ExecutivesMentorship of Product Leaders
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Product StrategyPlatform Model DevelopmentAgent OrchestrationSearch and RetrievalPersonalizationData ManagementQuality AssuranceGovernanceRisk ManagementBusiness Impact Measurement
Soft Skills
Influencing Without AuthorityJudgment Across Customer ExperienceCollaboration Across TeamsMentorshipCommunication
Certifications & Qualifications
Bachelor’s Degree in Computer ScienceBachelor’s Degree in Engineering
Industry Keywords
Enterprise PlatformsAgentic SystemsDeveloper EcosystemsComplex Enterprise DecisionsProduct Standards
About the role
Key responsibilities & impact- Define the enterprise product vision, strategy, and roadmap for associate-facing conversational and agentic AI
- Shape platform capabilities across orchestration, context and memory, personalization, search and retrieval, distribution, quality, observability, access, and governance
- Define how enterprise and domain-specific agents work together across experiences while balancing reuse with segment and business needs
- Establish measures and mechanisms for quality, trust, adoption, and business impact
- Prioritize high-value use cases and guide build, buy, and partner decisions
- Influence senior Product, Engineering, Design, Data, Security, and business leaders across complex enterprise decisions
- Raise the bar for AI product management through product judgment, standards, and mentorship
Requirements
What you’ll need- Bachelor’s degree in computer science, engineering, or related area and 11 years’ experience in product management; or 13 years’ experience in product management or related area
- Deep product leadership experience building and scaling complex enterprise platforms across AI/ML, agentic systems, search, personalization, data, or developer ecosystems
- Proven ability to turn ambiguous, enterprise-scale problems into clear product strategy, platform model, and executable roadmaps
- Strong technical fluency in modern AI products, including agent orchestration, retrieval, evaluation, context, and model-driven experiences
- Experience driving platform adoption across multiple product, engineering, and business teams
- Strong judgment across customer experience, platform reuse, quality, governance, risk, and business value
- Exceptional ability to influence executives and deeply technical partners without direct authority
- Track record of mentoring senior product leaders and raising product standards
Benefits
Comp & perks- Incentive awards for performance
- 401(k) match
- Stock purchase plan
- Paid maternity and parental leave
- PTO, including sick leave, holidays, and other purposes
- Multiple health plans, including medical, vision, and dental coverage
- Performance-based bonus awards
- Company-paid life insurance
- Family care leave
- Bereavement leave
- Jury duty leave
- Voting leave
- Short-term and long-term disability
- Company discounts
- Military Leave Pay
- Adoption and surrogacy expense reimbursement
- Live Better U education benefit, including fully paid tuition, books, and fees for eligible programs
- English Language Learning and short-form certificate programs through Live Better U
