Delivery Operations Manager, Snorkel AI
$100-150k
Data-centric enterprise AI platform for
Open for applications
Data-centric enterprise AI platform for
101-200 employees
Open for applications
$100-150k
101-200 employees
Company mission
To empower everyone to solve their most impactful problems through data-centric AI.
Role
Who you are
- Proficiency with Google Workspace tools and strong data analysis skills
- A proactive, results-driven mindset with creative problem-solving abilities
- Adaptability to excel in a fast-paced, dynamic environment
- Excellent written and verbal communication skills in English
- Experience working with technical and non-technical stakeholders
- The ability to work independently and collaboratively in a remote setting
Desirable
- Familiarity with data annotation pipelines and machine learning workflows
- Experience with SQL or other database languages
- Strong analytical and process improvement capabilities
- A degree in an analytics-focused field (e.g., Engineering, Economics, Business) or an interest in Computer Science, Statistics, or Data Analytics
What the job involves
- Snorkel AI is seeking a Delivery Operations Manager
- As a Delivery Operations Manager, you will manage and optimize processes, ensuring high-quality outcomes and seamless delivery
- This role blends operational rigor, analytical thinking, and cross-functional collaboration, offering a unique opportunity to make a significant impact
- Collaborate with Senior Technical Delivery Manager to meet project timelines, deliverables, and quality standards
- Engage with Expert Contributors to ensure high-quality datasets are delivered to customers
- Conduct quality reviews to maintain data annotation accuracy and consistency
- Monitor pipeline health and implement proactive solutions to prevent bottlenecks
- Track project progress and performance through data analysis and reporting
- Develop documentation for labeling guidelines and operational processes
- Partner with stakeholders across teams to resolve blockers and sustain production efficiency
- Provide regular updates to stakeholders on progress and key insights
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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