Enterprise Account Executive: Enterprise AI

Snorkel • Full-time • New York City, NY (Hybrid); San Francisco, CA (Hybrid); United States (Remote) • 5d ago

Enterprises continue to struggle in getting specialized, high-value AI use cases to production–a trend likely to be greatly exacerbated by the push to agentic systems that require more specialization and much higher accuracy.

As an Enterprise Account Executive – Enterprise AI Solutions, you’ll drive adoption of specialized unified AI platforms, services, and data solutions across large enterprise accounts. You'll partner with technical and business stakeholders to identify pain points in their current AI workflows and demonstrate how our scalable, secure, and flexible AI solutions to develop and operationalize their AI systems can deliver the business outcomes they desire.

Key Responsibilities:

Own the end-to-end multi-stakeholder, consultative services/solutions sales process for Snorkel AI’s Enterprise AI Solution 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 AI solutions, working closely with our technical and delivery teams.
Work closely with Solutions Engineers and Applied AI teams to shape proof-of-concepts.
Maintain accurate forecasting and deal progression in Salesforce or equivalent CRM.

Qualifications:

5+ years of enterprise services/solutions 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.
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.
Previous Sales Methodology training (e.g. MEDDIC, Outcome Based Selling, Challenger Sales).
Experience working for an innovative high growth tech company (SaaS, IT infrastructure or similar preferred).

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