VP, Technology & Data Partnerships

6sense•San Francisco, CA

2d•Remote

About The Position

This is an enterprise-level leadership role responsible for defining and leading the company’s technology, data, and AI partnership strategy. The role reports directly to the Chief Product & Technology Officer and will serve 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 the reach of the platform. The leader will help determine where the company should build, buy, partner, or potentially acquire capabilities.

Requirements

An executive who has built or materially scaled a technology, platform, product, or data partnership capability.
Someone who combines ecosystem strategy with enough technical fluency to engage credibly on architecture, APIs, data rights, identity, security, privacy, and AI.
A sophisticated negotiator who understands partnership structures, economics, data licensing, commercialization, and joint product delivery.
A strong cross-functional leader who can align senior Product, Engineering, commercial, legal, finance, and executive stakeholders around difficult investment and roadmap choices.
Someone with a practical understanding of how AI, agents, and MCP are changing enterprise software ecosystems.
A builder who can create the strategy, operating model, governance, metrics, and leadership team required for the capability to scale.

Responsibilities

Set the company-wide strategy for technology, data, platform, integration, and AI partnerships.
Identify a focused portfolio of high-impact partnership opportunities that can 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 the external data strategy, including data coverage, quality, identity, signals, licensing, and differentiated data products.
Influence product and platform strategy by bringing an 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 an operating model that allows the partnership capability to scale.
Build and develop a senior, globally effective organization over time.