Lead a team of Product Managers to optimize fixed income products. Collaborate with key stakeholders for competitive advantage in the marketplace.
About the role
- Senior Product Manager with deep AI/ML expertise leading data systems development at Snorkel AI. Collaborating across teams to enhance data-related product quality and efficiency.
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
- Build a recommendation system for optimal matching of ECs to tasks on the Snorkel Platform
- Work with cross-functional stakeholders to support enablement and adaptation initiatives of the Evaluations and Quality products
- Balance short-term delivery with long-term platform investments to support future growth.
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 building internal or platform-level products with complex workflows and multi-stakeholder environments.
- Proven ability to own end-to-end product experiences across multiple user personas.
- Strong analytical and problem-solving skills, with a track record of metrics-driven decision making.
- Excellent collaboration skills and experience partnering closely with Engineering, Research, and Operations teams.
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
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