Head of Forward-Deployed Engineering, DaaS at Snorkel AI

Redwood City, California, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Technology, Data as a ServiceIndustries

Requirements

7+ years of experience in applied data or ML engineering roles, including 2+ years leading high-performing technical teams in hands-on management capacity
Demonstrated success in customer facing roles, with a strong enthusiasm for data pipelines and LLM-based workflows
Proven track record of managing technical field teams in fast-paced, delivery-focused environments with competing priorities

Responsibilities

Build and lead the Forward Deployed Engineering DaaS organization, setting a clear vision, defining the operating model and scaling its impact across Snorkel’s Expert Data-as-a-Service workflows
Build, mentor, and motivate high performing teams, including cultivating skills and culture needed to consistently deliver exceptional outcomes and transformative impact
Own and evolve the data pipeline components of the DaaS stack, including model-assisted labeling, quality estimation, and data-centric feedback loops that guide human input
Partner with customers - including research and engineering teams at Frontier AI Labs - to scope requirements for complex, novel AI datasets and translate needs into delivery-ready workflows
Establish and execute scalable processes for data generation and validation, quality measurement, and delivery-readiness across a range of annotation projects
Develop robust systems for request intake, task orchestration, SLA tracking, and progress monitoring to ensure seamless execution and prevent critical delivery gaps
Prototype and deploy LLM-based workflows to assess annotation quality, augment human review and data generation, and accelerate delivery timelines
Collaborate cross-functionally with research and engineering teams to innovate, develop, and productionize HITL data generation methods, advanced quality techniques, and improve internal delivery tooling
Drive continuous improvement by developing reusable workflows, surfacing operational insights, and enabling the organization to scale faster while maintaining high quality

Skills

Key technologies and capabilities for this role

Data EngineeringML EngineeringData QualityHITLData PipelinesWorkflowsScalable SystemsOperations

Questions & Answers

Common questions about this position

What are the main responsibilities of the Head of Forward-Deployed Engineering role?

You will build and lead the FDE team, establish engineering best practices for data quality, own data pipeline components like model-assisted labeling, partner with customers to scope AI datasets, and develop systems for request intake and SLA tracking.

What skills and experience are needed for this position?

Leadership in building and mentoring high-performing teams, expertise in data engineering, ML engineering, operations, designing ML approaches for HITL techniques, and establishing scalable data quality processes are essential.

Is this role remote or does it require office presence?

This information is not specified in the job description.

What is the compensation or salary for this role?

This information is not specified in the job description.

What kind of company culture does Snorkel AI foster?

Snorkel emphasizes building high-performing teams, cultivating skills and culture for exceptional outcomes, and working with leading enterprises and labs to deliver transformative AI impact through innovative data practices.

Snorkel AI

Transforms manual AI processes into programmatic solutions

About Snorkel AI

Snorkel AI focuses on improving the development of artificial intelligence by transforming traditional manual processes into automated, programmatic solutions. This allows businesses to create AI systems that are specifically designed for their unique needs much more quickly. Their technology is based on research from the Stanford AI lab and is used by major organizations, including top US banks, government agencies, and Fortune 500 companies. Snorkel AI stands out from its competitors by offering proprietary data and knowledge that help speed up the deployment of AI solutions. The company's goal is to make AI development more efficient and accessible for enterprises, enabling them to leverage AI effectively in their operations.

Redwood City, CaliforniaHeadquarters

2019Year Founded

$131.3MTotal Funding

SERIES_CCompany Stage

Data & Analytics, AI & Machine LearningIndustries

201-500Employees

Benefits

Health - Snorkelers and their dependents are covered by comprehensive medical, dental, and vision plans.

Environment - We provide an allowance for Snorkelers to set up workstations however they want.

Wellness - Snorkelers are given a yearly wellness stipend to be used on anything relating to health and well-being.

Risks

Open-source AI platforms like Together AI increase competition for Snorkel AI.

Copyright lawsuits against AI firms pose potential legal risks for Snorkel AI.

Rapid expansion may lead to integration challenges within Snorkel AI's operations.

Differentiation

Snorkel AI uses programmatic data labeling to accelerate AI development.

The company transforms proprietary data into AI-ready datasets for specialized models.

Snorkel AI's technology originated from Stanford AI Lab research.

Upsides

Snorkel AI's partnership with Together AI enables custom LLMs for enterprises.

The release of Snorkel Flow 2023.R4 enhances user experience and tool integration.

Growing demand for programmatic data labeling boosts Snorkel AI's market potential.

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