The Role
We are seeking a highly technical and strategic Product Manager with deep AI/ML expertise to lead development across our agentic data systems, task-quality infrastructure, and data-acceleration initiatives. This role is ideal for someone with a core ML product background, strong familiarity with model development workflows, and demonstrated success delivering product experiences that improve the speed, quality, and scalability of data operations.
You will work closely with Research, Engineering, Data Operations, and Design to define product vision, roadmap, and execution plans for intelligent workflow systems that optimize data pipelines, improve annotation/task quality, and enable faster and more efficient delivery of ML-ready data.
Minimum Qualifications
- 7+ years of experience as a Product Manager
- Educational background in computer science or related engineering practice
- Strong technical literacy across ML model development, data pipelines, 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 working closely with enterprise customers and channel partners in the enterprise software industry
- Experience building internal or platform-level products with complex workflows and multi-stakeholder environments.
Preferred Qualifications
- 7+ years of experience as a Product Manager, including 3+ years focused on ML/AI platforms, MLOps, or data systems products.
- Experience with agent-based systems, generative AI, reinforcement learning, self-improving systems, or automated workforce/task routing platforms.
- Familiarity with quality scoring mechanisms, human-in-the-loop systems, and synthetic data generation.
- Background in Computer Science, Machine Learning, Data Engineering, or related technical field
