Senior/Staff Software Engineer, Snorkel AI

Infrastructure

$180-230k

Plus equity compensation in the form of employee stock options

Docker
Kubernetes
Python
Terraform
Senior and Expert level
San Francisco Bay Area

1-2 days a week in office (Redwood City, CA)

Snorkel AI

Data-centric enterprise AI platform for

Open for applications

Snorkel AI

Data-centric enterprise AI platform for

101-200 employees

B2BArtificial IntelligenceEnterpriseSaaSData Integration

Open for applications

$180-230k

Plus equity compensation in the form of employee stock options

Docker
Kubernetes
Python
Terraform
Senior and Expert level
San Francisco Bay Area

1-2 days a week in office (Redwood City, CA)

101-200 employees

B2BArtificial IntelligenceEnterpriseSaaSData Integration

Company mission

To empower everyone to solve their most impactful problems through data-centric AI.

Role

Who you are

  • Bachelor's degree in Computer Science or related field
  • 6+ years of experience in distributed systems and cloud-native applications
  • Proficiency in automation, scripting languages, and infrastructure-as-code tools (e.g. terraform)
  • Practical experience with Docker containerization and clustering (Kubernetes/EKS/GKE)
  • Strong development and debugging skills in Python or related language
  • Strong communication and coding skills
  • Proactive and positive attitude

Desirable

  • 8+ years of professional software engineering experience
  • Multiple years of k8s operational experience
  • Familiarity with working with large-scale enterprise software deployments
  • Familiar with common security best practices, architecture design and implementation
  • Experience building infrastructure, CI/CD, tooling in an enterprise setting

What the job involves

  • As a Software Engineer on the Infrastructure team, you'll accelerate the Snorkel AI team and our customers by improving our developer platform and services for user and data management across the stack
  • You’ll work closely with other engineers, researchers, and product management to align on the highest leverage improvements for CI/CD, cloud infrastructure, deployment, security, authentication/authorization, and more
  • Deploy and maintain CI/CD and software release pipelines across multiple environments and continuously improve testing frameworks development tooling and deployment best practices
  • Define and build our deployment strategy, internal and external, for SaaS-hosted, on prem, and managed service offerings
  • Build and maintain Snorkel’s production and staging infrastructure, own our k8s and cloud strategy
  • Design, develop, and maintain observability, alarms, and monitoring tools
  • Participate in on-call responsibilities in rotation with the engineering team
  • Work a hybrid schedule with one or two days per week in our Redwood City HQ and work remotely with "No Meeting" Tuesdays and Thursdays

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 headshot

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Led by a woman
Top investors

Few 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

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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