Account Executive- Data as a Service
Compensation
Salary undisclosedDescription
Account Executive - Data-as-a-Service (DaaS)
At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.
We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
We’re looking for a high-caliber Account Executive who brings an enterprise-grade sales motion, but is excited to sell into a new generation of AI-native buyers. This is a consultative, technical sale into sophisticated customers building real AI products.
What You’ll Do:
- Own the full sales cycle from prospecting through close and expansion
- Build and manage pipeline across large, high-potential accounts (net new focus)
- Sell into AI/ML leaders at LLM companies and vertical AI startups, as well as large organizations building internal AI capabilities
- Run a structured, multi-threaded sales process across technical and executive stakeholders
- Diagnose customer challenges across data, model development, and production AI workflows
- Translate those challenges into scoped DaaS engagements (pilots → production)
- Partner closely with Solutions Engineering and Delivery to shape and land deals
- Clearly differentiate Snorkel’s approach vs. the competition
- Maintain strong forecasting discipline and pipeline hygiene
- Bring customer insight back to Product and GTM teams
Who You Are:
- 5+ years of quota-carrying experience in a complex, technical sales environment (AI/ML, data infrastructure, or technical services)
- Proven track record of closing 6–8 figure deals with technical buyers and senior stakeholders
- Experience competing against incumbents or redefining a category
- Comfortable selling into highly technical personas (ML engineers, data scientists, AI founders)
- Strong ability to lead both technical and business value conversations
- Structured, disciplined operator with strong pipeline management skills
- High ownership, low ego, highly coachable
Nice to Have:
- Background in ML/data workflows or experience selling into AI teams
- Experience in high-growth, early-stage or category-creating companies
Stack
- Posted
- Apr 7, 2026
- Last seen
- Jun 25, 2026
- First seen
- Jun 25, 2026
- Status
- active