Enterprise Account Executive: Data-as-a-Service

US.svg
United States
Location
San Francisco United States
United States
San Francisco United States
United States
Salary
(Yearly)
(Yearly)
(Yearly)
(Yearly)
(Hourly)
Undisclosed
-
Date posted
August 26, 2025
Job type
Experience level
Mid level

Job Description

About Snorkel

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!

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).

Be Your Best at Snorkel

Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.

Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Apply now
Snorkel AI is hiring a Enterprise Account Executive: Data-as-a-Service. Apply through Homebase and and make the next move in your career!
Apply now
Companies size
501-1000
employees
Founded in
2019
Headquaters
Redwood City, CA, United States
Country
United States
Industry
Software Development
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