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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in defining and executing product strategies for AI-powered recommendation systems, with a strong focus on data-driven decision-making, cross-functional collaboration, and measurable business impact.
Highest-signal resume keywords
Product ManagementBusiness Strategy DevelopmentData-Driven Product DevelopmentExecutive CommunicationCross-Functional Collaboration
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 StrategyQuantitative AnalysisKPI DefinitionRecommendation SystemsPredictive AnalyticsMachine LearningPersonalizationBusiness Case DevelopmentOperational Performance AnalysisComplex Problem Solving
Soft Skills
Analytical ThinkingStructured Problem SolvingInfluencing StakeholdersStorytelling SkillsAdaptability
Tools & Technologies
CRM PlatformsSaaSCloud TechnologiesAnalytics ToolsOpportunity Management Tools
Certifications & Qualifications
MBAAdvanced Degree in Business or Related Discipline
Industry Keywords
AI-Powered ProductsEnterprise SalesGlobal Matrixed OrganizationsSeller ProductivityCustomer Outcomes
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Define the vision, strategy, roadmap, business case, and execution for an AI-powered seller recommendation product
- Build next-best-product and next-best-action recommendations for internal sales teams
- Understand seller, customer, and business needs and translate them into scalable product opportunities
- Define recommendation eligibility, scoring, ranking, personalization, confidence, explainability, and suppression
- Integrate recommendations into CRM, account planning, opportunity management, and seller productivity tools
- Partner with engineering, data science, machine learning, analytics, UX, Sales, Finance, Strategy, Customer Success, and other cross-functional teams
- Lead discovery, development, launches, pilots, experiments, A/B tests, and controlled rollouts
- Manage dependencies across CRM, customer data, product catalog, identity, analytics, and sales systems
- Drive product adoption and operational readiness
- Develop business cases and measure seller adoption, recommendation quality, customer outcomes, pipeline, revenue, cross-sell, upsell, and productivity impact
- Influence senior leaders and communicate product strategy, roadmap, trade-offs, risks, and results
- Serve as the voice of sellers and customers in a global, matrixed organization
Requirements
What you’ll need- 5+ years of experience in Product Management, Management Consulting, Corporate Strategy, Product Strategy, or a related role
- Bachelor's degree in Business, Engineering, Computer Science, Economics, Finance, Mathematics, or a related discipline, or equivalent practical experience
- Experience defining product or business strategy and translating ambiguous problems into actionable plans
- Track record taking complex products, capabilities, or strategic initiatives from problem definition through execution and measurable impact
- Strong commercial and strategic acumen
- Experience developing business cases, defining KPIs, analyzing financial or operational performance, and using quantitative analysis
- Strong analytical and structured problem-solving capabilities
- Ability to synthesize qualitative and quantitative information
- Experience working with engineering, data science, analytics, UX, and business teams
- Understanding of data-driven product development, experimentation, and performance measurement
- Ability to communicate technical and business concepts to technical and non-technical audiences
- Strong executive communication and storytelling skills
- Ability to influence senior stakeholders and drive alignment across cross-functional organizations
- Ability to operate in ambiguous, fast-changing, and matrixed environments
- Preferred: MBA or other relevant advanced degree
- Preferred experience with enterprise sales, CRM platforms, recommendation systems, machine learning, predictive analytics, personalization, large-scale datasets, AI-powered products, cloud, SaaS, and global matrixed organizations
Benefits
Comp & perks- Equal employment opportunity without regard to protected characteristics
- Voluntary disclosure of applicant information kept in strict confidence