Engineering Manager, Snorkel AI
AI Platform
1+ day a week in office
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
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
- 12+ years of professional experience designing and building data-intensive software systems
- 4+ years of engineering management experience
- 4+ years of professional experience designing and building AI-focused software systems
- Significant experience in building data or AI systems for unstructured data modalities such as natural language, images, or video
- Experience building enterprise-grade, user-facing software products
- Experience with architecting and developing production web-scale systems (including monitoring, telemetry, performance, reliability, triage, and debuggability)
- Experience at high-growth technology startups
- Experience developing growth programs for engineering organizations (e.g. career ladders, mentorship)
What the job involves
- We are looking for an Engineering Manager to lead our AI Platform team. Our AI Platform team builds innovative software systems to power the Snorkel Flow platform
- This includes services to train and serve generative AI and machine learning models using novel data-centric techniques, libraries to support AI workflows for a variety of data modalities and task types, core training data management technologies, and more
- The AI platform roadmap includes introducing and maturing existing AI use cases (such as document intelligence), scale recently launched capabilities to GA (such as image classification) and keep the team motivated and in focus to our goal of improving labeling quality for our customers
- As the 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 platform capabilities and deliver new AI workflows, with product management and customers to deeply understand and build for user needs, with applied research to develop novel AI techniques, 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 AI, systems, and backend engineers
- Deliver AI systems capabilities to enable new workflows in the Snorkel Flow platform
- Have a significant impact on the architecture, design, development, and operations of large-scale data-focused AI systems and interactive product workflows
- Collaborate with product management, field team members, and customers to understand product use cases, desired capabilities, scaling requirements, and more
- 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.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 28 more jobs at Snorkel AI