Head of Applied AI, Snorkel AI
$220-300k
OTE
Compensation range based on locations of San Francisco, Seattle, Los Angeles & New York. All offers also include equity in the form of employee stock options.
Data-centric enterprise AI platform for
Be an early applicant
Data-centric enterprise AI platform for
101-200 employees
Be an early applicant
$220-300k
OTE
Compensation range based on locations of San Francisco, Seattle, Los Angeles & New York. All offers also include equity in the form of employee stock options.
101-200 employees
Company mission
To empower everyone to solve their most impactful problems through data-centric AI.
Role
Who you are
- Oversee the full lifecycle of AI/ML solution development, from ideation to successful deployment, integration, and customization for diverse customer needs
- Define and execute the technical and product vision for applied AI solutions, ensuring alignment with the company’s overall business strategy
- Lead, mentor, and develop a high-performing team of Applied AI Engineers, fostering technical excellence and professional growth
- Develop and implement state of the art AI techniques such as retrieval-augmented generation (RAG), fine-tuning, prompt engineering, AI agents, ML model training, and optimizing model performance for real-world deployment to maximize business impact
- Collaborate cross-functionally with product, research, and field teams to prioritize the roadmap, integrate new developments, and ensure seamless delivery of AI capabilities
- Build and nurture strong relationships with key stakeholders, understanding their business requirements and aligning AI solutions to deliver measurable value
- Identify and drive opportunities to differentiate the company’s AI offerings, contributing insights and feedback to influence product and research directions
- Represent the company at industry events, conferences, and webinars, sharing expertise and promoting innovative AI solutions
- Maintain the organization’s position as an industry leader by staying abreast of the latest AI/ML trends and incorporating cutting-edge advancements into products and services
- Occasionally travel to customer sites for workshops, implementation support, and relationship building, ensuring customer success and satisfaction
Desirable
- Advanced degree (Master’s or Ph.D.) in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative field, or equivalent experience
- 5+ years of hands-on experience in Applied AI and ML roles, leading successful customer-facing projects
- Strong proficiency in Python for data preparation, analysis, feature engineering, and visualization; experience with NLP is preferred
What the job involves
- As Head of Applied AI, you will lead the design, development, and deployment of advanced AI solutions that deliver measurable business impact for enterprise customers
- You will manage and mentor a high-performing team of Applied AI Engineers, guiding them in translating complex business needs into actionable data and AI systems
- This role demands a strong blend of technical expertise in machine learning and data science, hands-on leadership in building and deploying production-ready AI applications, and exceptional communication skills to effectively engage with both technical and non-technical stakeholders
- You will be responsible for scoping project requirements, creating detailed work plans, setting clear milestones, and ensuring timely, high-quality delivery
- In addition to overseeing project execution, you will contribute directly to technical development, collaborating closely with Product, Sales, Engineering, and Research teams while representing the company as a technical leader in customer engagements and the broader AI community
- Your strategic vision and leadership will be essential in fostering innovation, driving growth, and ensuring our applied AI practice remains at the forefront of the industry
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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