Engineering Manager, Snorkel AI
Infrastructure
1+ day a week in office (Redwood City, CA)
Data-centric enterprise AI platform for
Open for applications
Data-centric enterprise AI platform for
101-200 employees
Open for applications
1+ day a week in office (Redwood City, CA)
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
- 6+ years of professional experience developing systems and process to provision enterprise software in cloud and on-premise environments
- 2+ years of engineering management experience
- Experience with architecting and developing software to enterprise-grade requirements, particularly with respect to supportability, security, governance, and manageability
- Experience at high-growth technology startups
- Strong background building and deploying with Kubernetes and Helm
- Strong background managing and deploying on AWS, Azure, or Google Cloud
- Background in managing internal development systems like CI/CD, performance and load testing infrastructure, deployment tooling
- Familiarity with operations and devops systems and processes
- Experience developing and mentoring engineers
What the job involves
- We are looking for an Engineering Manager to lead our Infrastructure and Provisioning team
- The team and the role are responsible for the design, development, deployment and operation of our Kubernetes and public cloud infrastructure, as well as our internal tooling, build, and testing systems
- The Provisioning Infrastructure roadmap cover a broad area and includes development of our customer-facing deployment tooling; launching of our managed infrastructure offerings; our internal dev, test, demo, and production environments and the tools and systems to manage and monitor them
- As Engineering Manager for this team, you will lead, develop and grow a team of talented engineers to meet Snorkel AI’s growth goals
- You will work cross functionally with other engineering teams to extend our, with product management and customers to deeply understand and build for customer and market needs, and with GTM partners to help us market, sell and support Snorkel AI offerings to help customers be successful
- Manage, develop, and grow a talented team of infrastructure, operations, deployment, and cloud engineers
- Work with the rest of our product, engineering and research teams to help design and lead the implementation of our internal systems to support the growth of the company
- Collaborate with product management, field team members, and customers to understand and build the roadmap for product and process improvements to meet our customers’ needs around deployment, supportability
- Directly contribute to deliver parts of the roadmap alongside the team
- 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
Insights
Some candidates hear
back within 2 weeks
-13% employee growth in 12 months
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 values
- We cultivate autonomy across the entire team by being open about our goals, wins, and challenges.
- We get to answers fast, focusing on what works—not what's fancy.
- In our field of AI and software engineering, we believe that diverse thinkers increase collective insights and knowledge.
Company HQ
Centennial, Redwood City, CA
Articles
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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