Engineering Manager, Snorkel AI
Operations
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
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
- Degree in Computer Science or related field or equivalent experience
- 5+ years of professional experience developing systems and process for software operations and development
- 3+ years of engineering management experience
- Experience with architecting and developing systems to operate data workflows and pipelines, content analytics, or user reputation and fraud analytics
- Experience at high-growth technology startups, and balancing ambiguity and agility with rigor and sustainability
- Familiarity with ops and devops systems and processes
- Experience developing and mentoring engineers
- Background managing, building on, and deploying with AWS, Terraform, Kubernetes, SQL
What the job involves
- We are looking for the founding Engineering lead for our Operations Engineering team
- This team is responsible for redefining how the world’s largest organizations meet their data annotation needs for groundbreaking models
- You’ll define and grow a team building automation and tooling around data generation, dataset analytics, quality checks
- The automation and tooling directly supports our fast-growing Data-as-a-service (Daas) operations and are used as feedback to incorporate into Snorkel’s core programmatic data development platform
- You’ll work closely with cross-functional teams incorporating research, applications engineering, and operations to pioneer innovative workflows for best-in-class ML models
- Manage, develop, and grow a talented team of operations, automation, data, and infrastructure engineers
- Work with the rest of our operations, product, engineering and research teams to help design and lead the implementation of our internal and external systems to support the growth of the company
- Actively contribute to Snorkel’s engineering culture through mentorship, open communication, user empathy, advocacy of strong engineering practices, and more
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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