Head of Data Operations
About The Position
As Head of Data Operations at Maven Robotics, 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, define how research priorities translate into data programs, and ensure models have the data they need to improve reliability, generalization, and performance. You will work closely with robot learning, evaluation, infrastructure, hardware, and data teams to translate model failures and research priorities into scalable collection programs, robust data pipelines, and training-ready datasets. You will also own Maven’s external data strategy, helping determine when to collect, acquire, license, partner for, or generate data.
Requirements
- 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 Haves
- 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.
Responsibilities
- Own Maven’s end-to-end data strategy and operations, spanning data collection, evaluation operations, data quality, dataset development, and delivery of training-ready datasets.
- Lead the teams responsible for data collection and evaluation operations, including staffing, processes, quality standards, throughput, and performance.
- Translate research priorities, evaluation results, and model failures into clear data requirements, collection strategies, and dataset roadmaps.
- Partner with research and infrastructure teams to build scalable pipelines from raw robot data through validation, processing, curation, and training dataset generation.
- Define data quality standards and build systems for measuring coverage, diversity, throughput, utilization, cost, and dataset effectiveness.
- Own external data partnerships and evaluate opportunities to collect, acquire, license, partner for, or generate data that accelerates model development.
- Build operational processes and tooling that make data programs reproducible, measurable, and scalable as Maven’s fleet and research organization grow.
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What This Job Offers
Job Type
Full-time
Career Level
Director
Education Level
No Education Listed
