AI Solutions Engineer, Snorkel AI
Pre-Sales
$95-153k
+ Stock options
1+ day a week in office
Data-centric enterprise AI platform for
Job no longer available
Data-centric enterprise AI platform for
101-200 employees
Job no longer available
$95-153k
+ Stock options
1+ day a week in office
101-200 employees
Company mission
To empower everyone to solve their most impactful problems through data-centric AI.
Role
Who you are
- 2+ years in AI/ML-focused pre-sales roles, or 4+ 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%)
What the job involves
- 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
- 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
Our take
Demand for AI is increasing in almost every industry, but the machine learning that fuels it is tedious to set up. In order to train machine learning algorithms, training data must be labelled manually, and this contributes to expenses in time, money and resources when integrating AI within a business.
Snorkel AI develops programmatic approaches to data labelling in order to automate the setup process of machine learning and decrease the required timeframe for a business to begin providing AI services. In addition to these automated data categorization services, the company also integrates data training, management, and analysis into a unified AI-deployment platform.
The complex computer science behind AI setup has resulted in many businesses without computer science backgrounds being left behind, and Snorkel AI has set this as their target audience. As of 2023, this customer base has tripled in size since Snorkel AI's founding and in 2024, enjoyed a new round of funding. With these promising developments, the company continues to innovate the sector.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Aug 2021
$85m
SERIES C
Apr 2021
$35m
SERIES B
Total funding: $135m
Company benefits
- Home office allowance
- Yearly wellness stipend
- Healthy meals, snacks & drinks in office
- 401k with a 100% match up to 5% of annual salary
- Regular team events
- Generous paid parental leave
- Work from home opportunities
- Health insurance
Company HQ
Centennial, Redwood City, CA
Leadership
Alex Ratner
(Co-founder & CEO)Studied at Harvard and received a PhD from Stanford. They are also an Assistant Professor at the University of Washington.
Paroma Varma
(Co-founder)They hold a PhD from Stanford and was VP of Corporate Relations at the Society of Women Engineers. They have collaborated with teams at Facebook and Intel.
Braden Hancock
(Co-founder & Head of Technology)They have a PhD in Computer Science from Stanford, and worked as a Research Assistant with the Air Force and MIT. They were also a Software Engineer at Google, and a Researcher at Facebook.
Henry Ehrenberg
(Co-Founder)They studied at Yale and Stanford and worked at Facebook as a Quantitative Engineering Intern and a Senior Applied Research Scientist.
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