Senior Product Manager - Data & Quality

What you'll do

• Own the vision, strategy, and roadmap for task and Expert Contributor Evaluations and Expert Contributor Quality.
• Improve evaluation quality and customer acceptance through cross-functional initiatives, performance metrics, and continuous monitoring.
• Build a recommendation system to match Expert Contributors to tasks and support product enablement and adoption.

What they ask for

• 5–7 years of experience as a Product Manager owning complex, cross-functional product areas.
• Educational background in computer science or related engineering practice.
• Technical literacy across ML models, Gen AI concepts, LLM-based products, Agentic designs, evaluation, labeling strategies, and quality frameworks.
• Experience delivering technical roadmaps end-to-end and building internal or platform-level products with complex workflows.

Nice to have

• 3+ years focused on ML/AI products, MLOps, or data systems products.
• Experience with agent-based systems, generative AI, reinforcement learning, self-improving systems, automated workforce/task routing, LLM Evaluations, human-in-the-loop systems, or synthetic data generation.

Pay

$220,000 — $260,000 USD (base salary)

Tools

ML models, Gen AI, LLM-based products, Agentic designs, MLOps, LLMs, LLM Evaluations, synthetic data generation

AI focus

Leads products for evaluations, synthetic data, agentic data systems, and quality; builds task-routing recommendations and monitoring to improve AI data operations.