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Technical Lead Manager – AI Data Engine

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-07-20
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 180000 - 230000 USD Yearly USD 180000.00 230000.00 YEAR
Job Description & How to Apply Below
Position: Staff Technical Lead Manager – AI Data Engine

Responsibilities

  • Build, lead, and manage a high-performing team of data and infrastructure engineers focused on building out Motional’s Data Stack
  • Define team goals, priorities, and roadmap in alignment with company objectives
  • Provide technical guidance, mentorship, and career development opportunities to team members
  • Define the technical vision and strategy for storing metrics and generating ML datasets for large computer vision and behavioral models
  • Identify and evaluate cutting‑edge technologies and methodologies for speeding up data loaders for training, ingestion of metrics, and querying of large datasets
  • Collaborate closely with ML research, ML Training platform, and data engineering teams to understand their needs and integrate solutions seamlessly
  • Communicate complex technical concepts and strategies to both technical and non-technical stakeholders
Requirements
  • BS or MS in Computer Science or related field
  • 8+ years of professional experience in data platform engineering
  • 3+ years of experience in a technical lead or management role with 3-7 direct reports
  • Extensive experience with managing large (petabyte plus) scale data platforms such as data warehouses, object storage, and ML training data stores
  • Extensive experience with workflow orchestration frameworks such as Airflow or Step Functions
  • Strong programming skills in Python
  • C++ experience is a plus
  • Deep knowledge of data storage formats such as Parquet, Iceberg, and Lance and understand their tradeoffs
  • Strong knowledge of cloud infrastructure (AWS, GCP) solutions and their product offerings
  • Prior experience with building data warehouses or lakehouse architectures at a machine learning or robotics company
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