About the Role
At Snorkel AI, we're redefining how enterprises build and deploy machine learning applications with programmatic data labeling and powerful LLM-adaptive data pipelines. Our Data-as-a-Service (DaaS) business serves the world’s leading AI labs and technology companies to deliver the high-quality data that fuels their most ambitious GenAI efforts.
We’re looking for a dynamic and strategic leader to head our Engagement Management team—the customer success function responsible for driving long-term partnerships, delivering cutting-edge data solutions, and shaping the future of AI development alongside our customers.
As the Head of Engagement Management for DaaS, you will own the end-to-end relationship with our enterprise customers, ensuring the delivery of high-quality data pipelines while developing trusted, strategic partnerships, and driving revenue growth. You’ll lead a team that interfaces directly with AI leaders at the frontier—navigating technical complexity, influencing product/technical strategy, and ensuring successful delivery from pilot through to long-term production.
You will be a customer champion, technical advisor, and operator—building the foundation of a high-impact team that directly influences both customer outcomes and Snorkel’s growth trajectory.
Responsibilities
- Lead the Strategic Engagement team, scaling a high-performing group that serves as the trusted primary partner for DaaS customers—from initial pilot through full-scale deployment—driving exceptional delivery outcomes, revenue growth, and long-term account expansion.
- Build the operating plan and long-term vision for the Engagement Management team, identifying key investments to scale customer success and drive revenue growth.
- Lead with a metrics-driven mindset, developing KPIs and success metrics to track performance, quality, and customer value of the Engagement Management team.
- Oversee the on-time, high-quality delivery of complex datasets, translating technical complexity into clear business value, and guiding customers from pilot to production to secure long-term commitments, scale revenue, and improve margins.
- Accelerate revenue by strategically driving growth, upsell and cross-sell opportunities across our portfolio of customers and partnering with Sales and Marketing on high-impact expansion initiatives.
- Develop trusted, strategic relationships with senior technical stakeholders at AI labs
- and tech giants—guiding their journey and ensuring mutual success.
- Champion customer and business needs, shaping priorities across teams while surfacing insights to continuously improve delivery, experience, and technical capabilities.
- Identify and manage delivery risks and blockers, escalating cross-functionally as needed to maintain project momentum.
- Collaborate across Snorkel’s teams —Delivery Ops, Engineering, Research, GTM, and Product—to align on customer priorities and execute effectively.
Qualifications
- 8+ years of experience in customer success, technical account management, consulting, or engagement management—ideally in a data/ML, SaaS, or technical services context.
- Proven track record building and maintaining high-value customer relationships at the executive level, ideally within enterprise tech or AI/ML ecosystems.
- Strong project management and delivery oversight experience, with the ability to manage ambiguity, prioritize ruthlessly, and drive cross-functional execution.
- Technical aptitude and fluency in data pipelines, AI/ML workflows, or data annotation—comfortable being hands-on with complex use cases.
- Exceptional communication skills with the ability to clearly convey value, manage stakeholders, and resolve challenges diplomatically.
- Experience growing and mentoring high-performing teams; excited to build a team from the ground up.
- Passion for GenAI, customer outcomes, and building in fast-paced, high-impact environments.
- B.S. degree in Business Administration, Engineering, or comparable degree/experience.
- Travel up to 20% based on customer needs.
The salary range for this position based in the San Francisco Bay Area is $160,000-$240,000. All offers include equity compensation in the form of employee stock options.
