4 months ago

Senior Product Manager - Data & Quality

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Senior Product Manager leading cross-functional initiatives for Snorkel AI's data workflows, agentic data systems, and evaluations. Drive product vision and roadmaps to improve data quality, speed, and AI-ready datasets. Collaborate with Research, Engineering, Data Operations, and Design to define end-to-end experiences across multiple user personas, balancing near-term delivery with long-term platform evolution.

Location: New York, San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Product Management

Key Responsibilities

•Own the product vision, strategy, and roadmap for the task and Expert Contributor Evaluations product supporting internal and external platform users.
•Identify bottlenecks and lead cross-team efforts to improve overall quality and customer acceptance rate.
•Lead Evaluation products and tools across research, engineering, operations, and forward deployed engineers to drive excellence in product quality.
•Define, build, and set up continuous monitoring for performance metrics of Evaluations to improve their adaption, usage, and effectiveness.
•Own the strategy and execution of Expert Contributor Quality.

Pay and Benefits

Salary: USD 230,000 - 260,000 annually

Key Requirements

•5–7 years of experience as a Product Manager, with ownership of complex, cross-functional product areas.
•Educational background in computer science or related engineering practice
•Strong technical literacy across ML models, Gen AI concepts, LLM-based products, Agentic designs, evaluation, labeling strategies, and quality frameworks.
•Proven ability to drive deeply technical roadmaps end-to-end, from concept to launch.
•Ability to write clear PRDs, partner on research experimentation frameworks, and drive measurable outcomes.

Experience:5-7 yearsAIMLData

Skills:AnalyticalProblem-solvingCollaborationCross-functionalCommunication

Languages:English

Tech Stack:MLGenAILLMData pipelinesEvaluationsAI

Company Brief

Snorkel AI

Develops a programmatic data labeling platform and tools to accelerate machine learning by enabling teams to generate, manage, and maintain training datasets through weak supervision and automations.

Industry: Data Infrastructure

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series C

Headquarters: Palo Alto, United States

Founded: 2019

Website LinkedIn

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Snorkel AI

4 months ago

Senior Product Manager - Data & Quality

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: New York, San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Product Management

Key Responsibilities

•Own the product vision, strategy, and roadmap for the task and Expert Contributor Evaluations product supporting internal and external platform users.
•Identify bottlenecks and lead cross-team efforts to improve overall quality and customer acceptance rate.
•Lead Evaluation products and tools across research, engineering, operations, and forward deployed engineers to drive excellence in product quality.
•Define, build, and set up continuous monitoring for performance metrics of Evaluations to improve their adaption, usage, and effectiveness.
•Own the strategy and execution of Expert Contributor Quality.

Pay and Benefits

Salary: USD 230,000 - 260,000 annually

Key Requirements

•5–7 years of experience as a Product Manager, with ownership of complex, cross-functional product areas.
•Educational background in computer science or related engineering practice
•Strong technical literacy across ML models, Gen AI concepts, LLM-based products, Agentic designs, evaluation, labeling strategies, and quality frameworks.
•Proven ability to drive deeply technical roadmaps end-to-end, from concept to launch.
•Ability to write clear PRDs, partner on research experimentation frameworks, and drive measurable outcomes.

Experience:5-7 yearsAIMLData

Skills:AnalyticalProblem-solvingCollaborationCross-functionalCommunication

Languages:English

Tech Stack:MLGenAILLMData pipelinesEvaluationsAI

Company Brief

Snorkel AI

Develops a programmatic data labeling platform and tools to accelerate machine learning by enabling teams to generate, manage, and maintain training datasets through weak supervision and automations.

Industry: Data Infrastructure

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series C

Headquarters: Palo Alto, United States

Founded: 2019

Website LinkedIn