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
What We’re Looking For
- 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 195k-305k OTE split at 70/30 + stock options. All offers include equity compensation in the form of employee stock options.
