Head of Engagement Management - Data as a Service

About the Team

The DaaS Engagement Management team sits at the center of Snorkel AI’s Data-as-a-Service business, partnering with leading AI labs and enterprises to deliver high-quality datasets that power frontier AI systems, and reports into the GM of the business.

The team is responsible for driving customer adoption, consumption, and expansion, working closely with Sales, Delivery, Product, and Engineering. This function is a critical driver of revenue realization and net revenue retention (NRR) for the DaaS business.

About the Role

As the Head of Engagement Management, DaaS, you will lead and scale the Engagement Management function, owning customer outcomes, consumption, and revenue realization across the DaaS business.

You will be responsible for building and managing a high-performing team of Engagement Managers, setting strategy, defining operating rhythms, and ensuring the team is focused on the highest-impact customer opportunities.

You will partner closely with Sales leadership, Product, and Delivery to drive expansion, improve customer retention, and maximize revenue from existing accounts.

This role blends team leadership, customer success strategy, and commercial ownership—you are accountable for both the success of your team and the overall growth and health of the DaaS customer base.

About You

You are a strong operator and people leader with a track record of building and scaling customer-facing teams in high-growth environments. You bring a balance of strategic thinking and execution, and are comfortable owning both customer outcomes and revenue performance.

You thrive in ambiguity, are highly collaborative, and have experience working cross-functionally to drive both customer success and business growth. You are motivated by building durable customer relationships and scalable systems that drive long-term impact.

Responsibilities

• Build, lead, and develop the Engagement Management team, including hiring, coaching, and performance management
• Define and execute the Engagement Management strategy, aligning team priorities to business goals (consumption, NRR, expansion)
• Own overall customer consumption, adoption, and revenue realization across DaaS accounts
• Partner with Sales leadership to drive expansion strategy and execution across key accounts
• Establish operating cadence, metrics, and reporting to track account health, usage, and revenue performance
• Ensure the team is focused on highest-value accounts and opportunities, prioritizing impact and growth
• Build and scale repeatable playbooks and motions for driving consumption, successful pilot-to-production handoffs and expansion
• Oversee customer engagements across lifecycle, ensuring strong delivery, stakeholder alignment, and long-term partnership health
• Act as a senior escalation point for customer issues and drive cross-functional resolution with Product, Delivery, and Engineering
• Develop deep relationships with senior and executive stakeholders across strategic accounts

Requirements

• 8+ years of experience in customer success, account management, consulting, or similar roles in a technical or data-driven environment
• 3+ years of experience leading and scaling customer-facing teams
• Proven track record of driving customer adoption, consumption, and expansion at scale
• Experience partnering closely with Sales leadership in a shared ownership model of revenue growth
• Experience leading teams in consumption-based or usage-based business models; 
• Experience driving net revenue retention (NRR) and expansion metrics at scale
• Strong leadership and organizational skills, with the ability to set strategy and execute through teams
• Experience building processes, playbooks, and operating rhythms in high-growth environments
• Excellent communication skills, including executive-level stakeholder management
• Technical aptitude in data, AI/ML, or related domains
• Ability to operate in fast-paced, ambiguous environments
• Willingness to travel up to 20%

Bonus points for:

• Background in AI/ML, data infrastructure, or data services businesses
• Experience working in high-growth or early-stage environments building functions from the ground up