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Data Operations Lead

Data Engineer Full-time Permanent US

Job details

Not specified Salary
US Eligibility
Lead Experience
Full-time Employment

About this role

Role overview Lead and scale the Data Operations organization behind an autonomous trucking system as Data Operations Lead. This role oversees multiple data-centric verticals, including mapping, labeling, and triage, directing both internal metrics-driven teams and external vendors that deliver high-fidelity maps, annotated sensor data, and accurate triage analysis. It is a highly collaborative leadership role, partnering closely with Product, Autonomy, and Systems Engineering to keep data flowing into model development and validation pipelines.

Responsibilities - Direct the Data Operations organization across mapping, labeling, triage, and additional data verticals as the company grows. - Partner with stakeholders to define, standardize, and continuously refine data ontologies, operator policies, and data specifications. - Establish workflows and policies that deliver a high volume of quality data, including labels, maps, and triage annotations, on a continuous basis. - Manage strategic vendor and partner relationships responsible for ground truth labeling, map generation, and operational tasks, including contract negotiation, budget management, training, and policy adherence. - Partner with internal tooling and infrastructure teams to define requirements for next-generation tooling and automation that reduces manual operational overhead. - Use data analytics to identify continuous improvement opportunities in operational workflows, throughput, and quality control.

Requirements - Ten or more years of operations management or related experience leading data-centric organizations. - Significant leadership experience directing multi-disciplinary teams responsible for data annotation, mapping operations, triage, or related functions. - Demonstrated expertise managing globally distributed workforce vendors and establishing robust BPO strategies. - Proven ability to architect, implement, and scale complex, heavily data-driven operational workflows. - Strong data analysis acumen, including experience conceptualizing, building, and reporting on organizational-level business metrics. - Deep functional understanding of ML training for perception models, HD mapping concepts, data infrastructure, and visualization tooling.

Nice to have - Prior experience working at an autonomous vehicle or robotics company. - The role may be subject to U.S. national security and export control requirements, which could affect eligibility based on residency, U.S. person status, or citizenship.

Skills detected in the listing

Stakeholder ManagementMachine Learning
Detected Oct 3, 2026
Last verified Oct 6, 2026

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