FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in product management and strategy, with a strong focus on data-driven decision-making, stakeholder influence, and cross-functional collaboration. Proficient in developing actionable product roadmaps and measuring commercial impact through KPIs and analytics.
Highest-signal resume keywords
Product ManagementData-Driven Decision-MakingStakeholder InfluenceCross-Functional CollaborationBusiness Strategy Development
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 StrategyKPI DefinitionQuantitative AnalysisRecommendation SystemsMachine LearningData AnalysisUser Story DevelopmentExperimentationPerformance MeasurementBusiness Case Development
Soft Skills
Executive CommunicationStorytellingAnalytical Problem-SolvingSynthesis of InformationInfluencing Stakeholders
Tools & Technologies
CRM PlatformsSalesforceMicrosoft Dynamics 365AI-Powered ProductsCloud TechnologiesSaaS Solutions
Certifications & Qualifications
MBA or Relevant Advanced Degree
Industry Keywords
Enterprise SoftwareSaaSAI/MLDigital PlatformsCustomer SegmentationPredictive AnalyticsBehavioral DatasetsComplex Technology Products
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Define the long-term vision and product strategy for an intelligent next-best-product and next-best-action recommendation platform for internal sellers
- Develop a multi-year product roadmap balancing customer value, seller productivity, commercial impact, technical feasibility, and company strategy
- Define product principles, priorities, business cases, KPIs, and strategic trade-offs
- Understand seller workflows through interviews, field observation, telemetry, experimentation, and qualitative research
- Design relevant, actionable, explainable recommendation experiences integrated into seller workflows and CRM tools
- Define recommendation eligibility, scoring, ranking, personalization, confidence, explainability, and suppression requirements
- Partner with data science, machine learning, engineering, analytics, design, architecture, Sales, Finance, Strategy, and business-unit teams
- Define requirements, user stories, success criteria, and prioritized backlogs
- Lead pilots, experiments, A/B tests, and controlled launches
- Manage dependencies across CRM, customer data, product catalogues, identity, analytics, sales tools, and business processes
- Drive product adoption and operational readiness with sales operations, enablement, and go-to-market teams
- Establish links between recommendation quality, seller behavior, customer outcomes, pipeline, and revenue
- Influence senior leaders and communicate product strategy, roadmap, trade-offs, risks, and business results
- Measure seller adoption, recommendation quality, customer outcomes, operational efficiency, and commercial impact
Requirements
What you’ll need- 5+ years of experience in Product Management, Management Consulting, Corporate Strategy, Product Strategy, or a related role, preferably within technology, enterprise software, SaaS, AI/ML, data products, CRM, sales technology, or digital platforms
- Bachelor's degree in Business, Engineering, Computer Science, Economics, Finance, Mathematics, or a related discipline, or equivalent practical experience
- Demonstrated experience defining product or business strategy and translating ambiguous problems into clear, actionable plans
- Proven track record of 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 into clear insights and recommendations
- Experience working with engineering, data science, analytics, UX, and business teams
- Strong understanding of data-driven product development, experimentation, and performance measurement
- Ability to communicate complex 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 large, cross-functional organizations
- Ability to operate effectively in ambiguous, fast-changing, and highly matrixed environments
- MBA or other relevant advanced degree is preferred
- Experience with CRM and sales platforms such as Salesforce, Microsoft Dynamics 365, or equivalent enterprise ecosystems
- Familiarity with recommendation systems, machine learning ranking models, propensity models, customer segmentation, predictive analytics, or personalization
- Experience working with large-scale customer, product, behavioral, or commercial datasets
- Experience developing AI-powered products where user trust, explainability, and responsible AI are important
- Familiarity with cloud, SaaS, enterprise software, or complex technology product portfolios
- Experience driving products or strategic initiatives across global, highly matrixed organizations