Head of Technology & Data Partnerships

6sense

2d•$195,000 - $270,000•Remote

About The Position

This enterprise-level leadership role is responsible for defining and leading 6sense’s technology, data, and AI partnership strategy, and serving as the executive owner of the broader technology and data partnership ecosystem. It 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 platform’s reach. The leader will help determine where the company should build, buy, partner, or potentially acquire capabilities. The role has significant influence over product direction, ecosystem positioning, investment choices, and long-term strategic advantage. It calls for an executive who can combine ecosystem strategy with technical fluency, sophisticated negotiation, cross-functional leadership, and the ability to build the strategy, operating model, governance, metrics, and leadership team needed to scale this capability. Success includes assessing the portfolio, market landscape, strategic gaps, team capabilities, commitments, and role boundaries in the first 60 days; producing an executive-ready strategy and concentrated set of priority bets by 90 days; advancing consequential partnerships with funded productization paths within six months; and establishing a focused portfolio with measurable impact and a scalable operating model within 12 months.

Requirements

Experience building or materially scaling a technology, platform, product, or data partnership capability.
Technical fluency to engage credibly on architecture, APIs, data rights, identity, security, privacy, and AI.
Sophisticated negotiation skills and understanding of partnership structures, economics, data licensing, commercialization, and joint product delivery.
Strong cross-functional leadership skills, including the ability to align senior Product, Engineering, commercial, legal, finance, and executive stakeholders around investment and roadmap choices.
Practical understanding of how AI, agents, and MCP are changing enterprise software ecosystems.
Ability to create the strategy, operating model, governance, metrics, and leadership team required to scale the capability.

Responsibilities

Set the 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 the external data strategy, including data coverage, quality, identity, signals, licensing, and differentiated data products.
Bring an external ecosystem and market perspective into company investment decisions and influence product and platform strategy.
Partner with Product and Engineering to translate strategic agreements into funded roadmaps, clear ownership, successful launches, and measurable customer adoption.
Establish portfolio governance, performance measures, and an operating model that enables the partnership capability to scale.
Build and develop a senior, globally effective organization over time.
Assess the existing portfolio, market landscape, strategic gaps, team capabilities, active commitments, and role boundaries in the first 60 days.
Develop an executive-ready technology, data, and AI ecosystem strategy with priority bets, investment choices, executive sponsors, and Product and R&D commitments by 90 days.
Demonstrate progress on consequential partnerships, including signed or late-stage agreements with funded productization paths and clear impact measures within six months.
Establish a focused portfolio producing measurable adoption, distribution, differentiation, and commercial impact within 12 months.