Head of Data Operations

The role

You will own the strategy, systems, and teams that turn raw robot experience into high-quality training data. You will lead data collection and evaluation operations to ensure models have the right data to improve reliability, generalization, and performance.

What you will do

• Own end-to-end data strategy and operations including collection, evaluation, quality, and dataset development.
• Lead teams responsible for data collection and evaluation operations.
• Translate research priorities and model failures into data requirements and dataset roadmaps.
• Partner with research and infrastructure teams to build scalable pipelines.
• Define data quality standards and build systems for measuring coverage, diversity, and cost.
• Own external data partnerships and evaluate opportunities to collect, acquire, license, or generate data.
• Build operational processes and tooling for reproducible and scalable data programs.

Required qualifications

• Experience building and scaling data, operations, or technical programs in robotics, autonomous systems, machine learning, or another data-intensive technical environment.
• Experience leading teams and cross-functional programs spanning data collection, evaluation, or dataset development.
• Strong technical fluency with machine learning data pipelines, including ingestion, processing, validation, curation, and training dataset generation.
• Experience using model evaluation, failure analysis, or research outcomes to inform data collection and dataset priorities.
• Strong analytical ability to reason about data quality, coverage, throughput, cost, utilization, and operational bottlenecks.
• Ability to work closely with researchers and engineers and translate ambiguous research needs into concrete, scalable operational programs.
• Strong ownership and a track record of independently defining and executing strategy in a fast-moving environment.

Nice to have

• Experience negotiating or managing external data, technology, or research partnerships
• Experience designing dataset versioning, lineage, governance, or provenance systems for machine learning
• Experience building internal tools for data collection, QA, dataset management, evaluation, or operational dashboards
• Familiarity with imitation learning, reinforcement learning, multimodal models, world models, or robot foundation models
• Experience with synthetic data, simulation-generated data, third-party datasets, or hybrid data strategies

About the company

Maven Robotics designs, builds, and deploys intelligent robotics for logistics and manufacturing. The company is building the first general-purpose robotics system for industrial work.