VP of Product and Partnerships
USFull-TimeVp
SalaryCompetitive compensation with equity participation.
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Job Details
- Experience
- 7+ years
- Required Skills
- AgileData AnalysisProduct ManagementSaaS
Requirements
- 7+ years of product management experience, including senior leadership roles in SaaS or technology-driven environments.
- Proven ability to translate executive vision into structured, executable product roadmaps with measurable outcomes.
- Strong experience owning product discovery and delivery, including requirements definition and agile execution.
- Experience building and managing strategic partnerships, including integrations and vendor relationships.
- Strong technical fluency with the ability to collaborate effectively with engineering teams.
- Demonstrated ability to design and implement monetization strategies and pricing models.
- Strong analytical and data-driven decision-making skills, with the ability to synthesize insights into strategy.
- Executive presence with strong communication and cross-functional influence skills.
- Experience in higher education, edtech, or workforce development strongly preferred.
Responsibilities
- Own and translate product vision into a structured roadmap, working closely with executive leadership to define priorities, milestones, and success metrics.
- Lead end-to-end product lifecycle management, ensuring requirements are clearly defined, sequenced, and delivered in collaboration with engineering teams.
- Drive market and customer discovery efforts through interviews, focus groups, beta testing, and ongoing research to inform product strategy and prioritization.
- Own the strategic partnerships function, including content providers, integration partners, and technology vendors that enhance platform capabilities.
- Lead internal enablement across Customer Success, Marketing, and Sales by developing clear messaging, positioning, and product value narratives.
- Define and evolve monetization strategies in partnership with Finance and executive leadership, including pricing, packaging, and feature tiering.
- Champion AI innovation and data strategy, shaping how the platform evolves into a more intelligent and data-driven solution.
- Build and mentor a high-performing product organization with scalable processes, standards, and operating rhythms.
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