Staff AI Solutions Engineer, Snorkel AI

Pre-Sales

$195-305k

OTE

$136-214k

BASE

Salary applicable for candidates based in San Francisco, Seattle, Los Angeles & New York, may vary in other locations. OTE split at 70/30 + Stock options

Python

PyTorch

Mid, Senior and Expert level

New York

San Francisco Bay Area

Remote from US

Data-centric enterprise AI platform for

Be an early applicant

Data-centric enterprise AI platform for

101-200 employees

B2BArtificial IntelligenceEnterpriseSaaSData Integration

Be an early applicant

$195-305k

OTE

$136-214k

BASE

Salary applicable for candidates based in San Francisco, Seattle, Los Angeles & New York, may vary in other locations. OTE split at 70/30 + Stock options

Python

PyTorch

Mid, Senior and Expert level

New York

San Francisco Bay Area

Remote from US

101-200 employees

B2BArtificial IntelligenceEnterpriseSaaSData Integration

Company mission

To empower everyone to solve their most impactful problems through data-centric AI.

Job

Company

Role

Who you are

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%)

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 4 rounds)

May 2025

$100m

SERIES D

Aug 2021

$85m

SERIES C

Total funding: $235m

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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