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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing the end-to-end product lifecycle for enterprise AI portfolios, with a strong focus on Agile methodologies, data analysis, and stakeholder management. Proven ability to lead cross-functional teams and drive product delivery while ensuring alignment with customer experience and strategic goals.
Highest-signal resume keywords
Product Management ExperienceAgile MethodologyData AnalysisTechnical WritingStakeholder Management
About the role
Key responsibilities & impact- Own the end-to-end product lifecycle for the enterprise AI portfolio
- Create and maintain one integrated delivery roadmap across teams, including sequencing and dependencies
- Own quarterly planning, portfolio reviews, leadership forums, and the forward calendar of executive forums, launches, audits, and planning cycles
- Collaborate with development, architecture, security, identity, and partner organizations to drive technical delivery and product releases
- Analyze quantitative and qualitative data to prioritize features, assess risks, and support senior leadership decisions
- Identify execution, operational, and organizational issues and drive improvement plans
- Track leadership commitments to closure and escalate before deadlines are missed
- Manage the product backlog and coordinate Agile ceremonies across teams
- Lead high-urgency or high-sensitivity initiatives assigned by senior leadership
- Perform other duties and projects as assigned by business management
Requirements
What you’ll need- Bachelor's Degree plus 7 years of related work experience OR Advanced degree with 5 years of related experience
- Acceptable areas of study include Computer Science, Engineering, IT or equivalent experience
- 6+ years experience in hands on technical writing production code, solution engineering, or technical architecture in large scale company/application/product environment
- 7+ years of relevant Product Management experience in an agile software product development environment
- Advanced level understanding of customer experience
- Working knowledge of AI, generative AI or platform engineering
- Knowledge of Agile Methodology, Backlog Management, Customer Centricity, Data Analysis, Problem Solving, Product Management, Product Roadmap, Solution Architecture Design, Stakeholder Management, Strategic Alignment, Technical Design Documentation, and Technical Writing
- At least 18 years of age
- Legally authorized to work in the United States
- Certified Scrum Master (CSM) or Scrum Product Owner Certification (CSPO) preferred
- Agile Certified Practitioner (PMI-ACP) preferred
Benefits
Comp & perks- Annual stock grant
- Employee stock purchase plan
- 401(k)
- Free, year-round money coaches
- Medical, dental and vision insurance
- Flexible spending account
- Paid time off
- Up to 12 paid holidays
- Paid parental and family leave
- Family building benefits
- Back-up care
- Enhanced family support
- Childcare subsidy
- Tuition assistance
- College coaching
- Short- and long-term disability
- Voluntary AD&D coverage
- Voluntary accident coverage
- Voluntary life insurance
- Voluntary disability insurance
- Voluntary long-term care insurance
- Mobile service and home internet discounts
- Pet insurance
- Commuter and transit programs
- Career growth opportunities
- Annual bonus or periodic sales incentive or bonus for eligible employees
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 RoadmapSolution Architecture DesignBacklog ManagementTechnical Design DocumentationProblem SolvingCustomer CentricityTechnical DeliveryQuantitative AnalysisQualitative AnalysisAI Knowledge
Soft Skills
CollaborationLeadershipCommunicationOrganizational SkillsExecution
Certifications & Qualifications
Certified Scrum Master (CSM)Scrum Product Owner Certification (CSPO)Agile Certified Practitioner (PMI-ACP)
Industry Keywords
Enterprise AIGenerative AIPlatform EngineeringAgile Software DevelopmentTechnical Architecture