At Snorkel AI, we’re solving one of the biggest bottlenecks in enterprise AI: high-quality labeled data. Our Data-as-a-Service (DaaS) offering combines the power of programmatic data labeling and human-in-the-loop workflows to deliver training datasets faster, with higher accuracy, and at a fraction of the manual cost.
Unlike traditional data labeling vendors, which rely heavily on manual processes, Snorkel AI’s approach is automated, iterative, and built for customization at scale. Backed by years of Stanford research and trusted by leading Fortune 500 enterprises and government agencies, Snorkel helps teams ship ML products faster by transforming how training data is created.
We’re looking for a strategic and consultative Enterprise Account Executive to drive growth of our DaaS offering among large and innovative enterprises. This role is ideal for someone who understands the limitations of manual labeling and is ready to offer customers something more scalable, customizable, and impactful.
If you're excited about selling differentiated, next-generation solutions that redefine an entire category, we’d love to talk.
Key Responsibilities:
- Own the end-to-end multi-stakeholder, consultative sales process for Snorkel AI’s Data-as-a-Service offering, targeting enterprise accounts with a focus on long-term customer success.
- Proactively prospect, identify, qualify and develop a sales pipeline with a focus on large fortune 1000 companies (new logos) while running an efficient sales process.
- Develop deep understanding of customer challenges in data labeling, ML model development, and AI/ML deployment.
- Translate those challenges into tailored DaaS solutions, working closely with our technical and delivery teams.
- Differentiate Snorkel’s value vs. traditional labeling platforms by emphasizing automation, iteration, and quality.
- Work closely with Solutions Engineers and Delivery teams to design and scope pilot and production engagements.
- Contribute market intelligence and customer feedback to Product and Marketing teams
- Maintain accurate forecasting and deal progression in Salesforce or equivalent CRM.
Qualifications:
- 5+ years of enterprise sales experience in AI/ML, data services/ infrastructure, or technical services.
- Strong track record of overachievement and hitting sales targets, closing six- and seven-figure enterprise deals with technical and executive stakeholders.
- Experience selling in a competitive space where you had to position against entrenched incumbents or first-generation technologies.
- Technical background (CS, engineering, math, or statistics) or equivalent experience working closely with technical teams.
- Deep understanding of machine learning workflows, training data needs, and the enterprise AI stack.
- Comfort navigating both technical and business value conversations.
- Excellent storytelling and value-based selling skills.
- Ability to thrive in a fast-paced, collaborative, and rapidly changing environment.
- Highly intelligent. High EQ. Self-aware, Coachable. Resourceful. Humble.
- Experience working for an innovative high growth tech company (SaaS, IT infrastructure or similar preferred).
