We’re on a mission to democratize AI by building the definitive AI data development platform. The AI landscape has gone through incredible change between 2016, 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 spearheading some of the most advanced AI and LLM projects worldwide. Backed by a decade of research from the Stanford AI Lab and trusted by some of the largest Fortune 500 enterprises, Snorkel is transforming how organizations build domain-specific, high-performing AI and LLM systems—faster and more efficiently through a data-centric and programmatic approach.
We're rapidly growing our GTM operations and looking for high-caliber AI Solutions Engineers to be early members of the team. As part of the pre-sales organization, you will work at the heart of customer impact, partnering with our co-founders, sales, product, and engineering teams to shape AI strategies, scope and lead technical evaluations, and showcase the value of Snorkel’s core offerings: enterprise platform, services and data-as-a-service. You will also work across functions to continue building the Snorkel AI Data Platform into the leading enterprise platform for data-centric AI Development & Evaluation.
This is a unique opportunity to help define the future of enterprise AI while rapidly advancing your career in a high-growth, world-class GTM team. Anyone outstanding in this role will have opportunities to rapidly grow in the organization.
What You’ll Do
- Lead the technical side of the sales cycle—design and run tailored evaluations, demos, and Proof-of-Value (POV) projects aligned to customer outcomes
- Act as a trusted advisor on AI strategy and architecture, working with stakeholders from C-level execs to data scientists and ML engineers
- Own hands-on activities across the AI development lifecycle: from data prep and labeling to LLM tuning, evaluation, and deployment
- Collaborate with sales leaders to influence deal strategy and ensure smooth transitions to post-sales Applied AI Engineering and customer success
- Systematize and scale pre-sales motions—build reusable demos, workshop templates, and POV frameworks
- Partner closely with our co-founders, product, and engineering teams to provide market feedback and shape our roadmap
- 4+ years in AI/ML-focused pre-sales roles, or 5+ years in technical sales engineering with strong exposure to AI/LLM projects
- Proficiency with modern AI/LLM tools and frameworks (e.g. PyTorch, HuggingFace, OpenAI, Mistral, Llama, etc.)
- Strong Python skills and familiarity with cloud platforms, MLOps, and enterprise tech stacks
- Experience framing customer problems and delivering impactful AI solutions in real-world settings
- Excellent communication and presentation skills, able to connect technical capabilities to business value across audiences
-
Experience working with Federal Government is beneficial
-
Travels on-site to customers will be required (up to 25%)
The salary range for our Tier 1 locations of San Francisco, Seattle, Los Angeles & New York is $120,000.00 - $190,000.00. All offers include equity compensation in the form of employee stock options.
#LI-GM1
Be Your Best At Snorkel
Snorkel AI is on a mission to make machine learning practical for everyone, and it starts with building a team that welcomes, represents and gives opportunity to all. We work at the frontier of AI and software engineering, and believe that underrepresented communities need to play a part in shaping the future of these fields. At Snorkel AI, we actively work to create an environment that values end-to-end ownership, diverse forms of impact, and opportunities for personal growth.
Snorkelers are supported by an amazing team and an amazing set of benefits. For Full-time employees, we offer comprehensive medical, dental, and vision plans for Snorkelers and their families, plus a yearly wellness stipend. Our 401k program lets Snorkelers plan for their future and our parental leave program lets new parents take up to 20 weeks of paid time off. Learn more about these benefits and more — like our workstation setup allowance — on our Careers page.
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.
Top Skills
Similar Jobs
What you need to know about the Charlotte Tech Scene
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
