SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 258,165 - 340,642 / annual
6sense is seeking a VP of Technology & Data Partnerships to lead the company's enterprise-level technology, data, and AI partnership strategy. This role reports directly to the Chief Product & Technology Officer and serves as the executive owner of the broader technology and data partnership ecosystem.
This is not a traditional channel or alliances sales role. The focus is on partnerships that shape the product, strengthen the company's data advantage, and extend platform reach. The leader will help determine where the company should build, buy, partner, or potentially acquire capabilities.
Key Responsibilities:
- Set company-wide strategy for technology, data, platform, integration, and AI partnerships
- Identify a focused portfolio of high-impact partnership opportunities that improve product differentiation, innovation, distribution, and growth
- Build trusted C-suite relationships with priority technology platforms, data providers, cloud companies, and emerging AI ecosystems
- Originate and negotiate complex, multi-year agreements covering product scope, data rights, intellectual property, economics, investment, exclusivity, and governance
- Shape external data strategy, including data coverage, quality, identity, signals, licensing, and differentiated data products
- Influence product and platform strategy by bringing external ecosystem and market perspective into company investment decisions
- Partner closely with Product and Engineering to ensure strategic agreements translate into funded roadmaps, clear ownership, successful launches, and measurable customer adoption
- Establish portfolio governance, performance measures, and operating model that allows the partnership capability to scale
- Build and develop a senior, globally effective organization over time
Success Metrics:
- 60 days: Assess existing portfolio, market landscape, strategic gaps, team capabilities, active commitments, and role boundaries
- 90 days: Develop executive-ready technology, data, and AI ecosystem strategy with concentrated priority bets, investment choices, executive sponsors, and Product/R&D commitments
- 6 months: Demonstrate visible progress on consequential partnerships with signed or late-stage agreements, funded productization paths, and clear impact measures
- 12 months: Establish focused portfolio producing measurable adoption, distribution, differentiation, and commercial impact, supported by trusted C-suite relationships and scalable team/operating model
Requirements:
- Executive experience building or materially scaling a technology, platform, product, or data partnership capability
- Combination of ecosystem strategy with technical fluency to engage credibly on architecture, APIs, data rights, identity, security, privacy, and AI
- Sophisticated negotiation skills with understanding of partnership structures, economics, data licensing, commercialization, and joint product delivery
- Strong cross-functional leadership ability to align senior Product, Engineering, commercial, legal, finance, and executive stakeholders around difficult investment and roadmap choices
- Practical understanding of how AI, agents, and MCP are changing enterprise software ecosystems
- Ability to create strategy, operating model, governance, metrics, and leadership team required for capability to scale
