About Snorkel
At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.
We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
About the Team
Snorkel's Platform organization owns the infrastructure and services that power everything at Snorkel — the pipelines, evals, access layers, event systems, governance, compute, and agent infrastructure that every product team and customer deployment depends on. We're a small team with a large surface area, and we're in the middle of a foundational architecture shift: moving from a single-database data path to a multi-source, event-driven agent first platform. The decisions being made now will define how our platform scales for years. You will be making them.
About the Role
We're looking for Platform Engineers who combine strong infrastructure chops with real backend engineering depth. You'll build and operate the systems, services, and agent infrastructure that let product teams move fast and reliably — from data access layers and event-driven pipelines to the agent first architecture that will transform our ability to scale. Your work will directly allow us to scale the amount of high quality data we are able to deliver to our customers.
We are looking to grow our team of Platform Engineers, and are hiring at multiple levels.
What You'll Do
- Design and build agent infrastructure that allows us to safely and reliably speed up workflows from engineering and operation teams
- Design and implement event-driven data flows using event brokers, CDC connectors, schema registries, event routing, and dead letter queues — ensuring events flow reliably and failures are visible and recoverable
- Build the systems that track how data moves through the platform (lineage), enforce who can access what (governance and RBAC), and log what happened (auditing), including PII handling, retention policy enforcement, and audit infrastructure for enterprise and regulatory compliance
- Set strategy and architecture for build systems, testing frameworks, and CI/CD pipelines, and drive the transition toward robust, automated continuous deployment
- Instrument services with OpenTelemetry, define and monitor SLOs (query latency, pipeline success rates, service reliability), and build alerting that catches issues before they become incidents — you will be on-call for the systems you build
- Contribute to infrastructure cost visibility and optimization — query cost estimation, workload right-sizing, and routing data to the most cost-effective storage tier for its access pattern
- Collaborate with engineers, product managers, and designers to bring consistency and high standards to codebases, infrastructure, and processes
What You'll Bring
- 5+ years building platform infrastructure, backend services, or data systems in production — you have built and operated pipelines, data access layers, distributed services, or ETL/ELT systems at scale
- Strong proficiency in Python, and experience designing REST APIs for internal services and developers
- Strong background in distributed systems and cloud platforms (AWS preferred) — hands-on experience with services like S3, RDS, EKS, EventBridge, and IAM, and comfort working in a Terraform-managed environment
- Familiarity with data orchestration tools (Prefect, Airflow, or Dagster) and transformation frameworks (dbt)
- Understanding of data governance concepts — RBAC, PII handling, audit logging, data lineage
- Track record of leading complex engineering initiatives, influencing stakeholders, and delivering measurable impact
- Ability to work in a fast-paced environment with strong technical communication skills
- Fluency with modern developer tooling and a willingness to adopt new tools quickly — the team evaluates and integrates new tooling regularly to improve velocity and reliability
Nice to Have
- Experience building shared libraries or SDKs consumed by multiple teams — versioning, backwards compatibility, migration support
- Experience with event-driven architectures — CDC, event buses, schema registries, at-least-once delivery semantics
- Experience with OpenTelemetry, ClickHouse, or similar observability infrastructure
- Prior work in regulated environments (SOC 2, FedRAMP, HIPAA) where compliance requirements shaped system design
- Experience with Ray or similar frameworks for distributed compute workloads
- Experience in hyper-growth startup environments or scaling engineering orgs
- Prior experience as a Tech Lead, Team Lead, or hands-on Engineering Manager
Why This Role
You'll have meaningful ownership over the infrastructure and services that every product team and customer deployment depends on. This isn't a maintenance role — you'll be making foundational architecture decisions that shape how the company scales, with a team that cares deeply about reliability, craft, and moving fast without breaking things.
Snorkel is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel embraces diversity and provides equal employment opportunities to all employees and applicants for employment.
Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.
Be Your Best at Snorkel
Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.
Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Skills Required
- 5+ years building platform infrastructure, backend services, or production data systems at scale
- Strong proficiency in Python
- Experience designing REST APIs for internal services and developers
- Strong background in distributed systems and cloud platforms, preferably AWS
- Hands-on experience with AWS S3, RDS, EKS, EventBridge, and IAM
- Experience working in a Terraform-managed environment
- Familiarity with Prefect, Airflow, or Dagster
- Familiarity with dbt
- Understanding of RBAC, PII handling, audit logging, and data lineage
- Track record of leading complex engineering initiatives and influencing stakeholders
- Strong technical communication skills and ability to work in a fast-paced environment
- Fluency with modern developer tooling and willingness to adopt new tools quickly
- Experience building shared libraries or SDKs used by multiple teams
- Experience with event-driven architectures, CDC, event buses, schema registries, and at-least-once delivery
- Experience with OpenTelemetry, ClickHouse, or similar observability infrastructure
- Experience working in regulated environments such as SOC 2, FedRAMP, or HIPAA
- Experience with Ray or similar distributed-compute frameworks
- Experience in hyper-growth startup environments or scaling engineering organizations
- Prior experience as a Tech Lead, Team Lead, or hands-on Engineering Manager
Snorkel AI Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Snorkel AI and has not been reviewed or approved by Snorkel AI.
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Healthcare Strength — Comprehensive medical, dental, and vision plans cover employees and dependents, with disability and life insurance included. A yearly wellness stipend supplements core health coverage.
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Leave & Time Off Breadth — Unlimited vacation, paid holidays, and paid sick days are offered. Company-wide rest days are also referenced, expanding time-off support.
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Parental & Family Support — Parental leave for birthing and non-birthing parents and childcare benefits are provided. Flexible work arrangements and remote-friendly perks further support family needs.
Snorkel AI Insights
What We Do
Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine platform technology with research-driven data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Snorkel led the development of Senior SWE-Bench and launched Open Benchmarks Grants with a $3 million commitment to support open-source datasets, benchmarks, and evaluation research. Supported projects include Agents’ Last Exam, OSWorld 2.0, Terminal-Bench, Continual Learning Bench, and SlopCode Bench.
Why Work With Us
Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly,offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly.
