Software Engineering Manager -Data Platform

motional; United States; Híbrido; USD 172.000 - 229.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical, dental, and vision coverage

401k with company match

Pet insurance

Bonus eligibility

Equity options

Hybrid work schedule

Descripción de la vacante

Motional in the United States seeks a senior leader to build and lead a Data Platform team that accelerates ML dataset generation and scales a petabyte-scale data warehouse. The role blends hands-on technical leadership with people management to support autonomous vehicle development.

You will guide architects, engineers, and data scientists, shaping the data platform vision, pipelines, and storage choices, while mentoring staff and collaborating with ML/R&D teams on scalable solutions.

Formación

• BS or MS in Computer Science or related field.
• 8+ years in data platform engineering.
• 3+ years in a technical lead or management role overseeing 3-7 direct reports.
• Extensive experience with petabyte-plus scale data platforms such as data warehouses, object storage, and ML training data stores.
• Hands-on experience with workflow orchestration frameworks such as Airflow or AWS Step Functions.
• Strong programming skills in Python, with C++ experience a plus.
• Deep knowledge of data storage formats such as Parquet, Iceberg, and Lance and their tradeoffs.
• Strong knowledge of cloud infrastructure (AWS or GCP) and their product offerings.
• Prior experience building data warehouses or lakehouse architectures at a machine learning or robotics organization.

Responsabilidades

• Build, lead, and manage a high-performing team of data and infrastructure engineers.
• Define team goals, priorities, and roadmap aligned with broader organizational objectives.
• Provide technical guidance, mentorship, and career development for team members.
• Define the technical vision for storing metrics and generating ML datasets for large computer vision and behavioral models.
• Evaluate and adopt cutting-edge technologies for data loaders, metric ingestion, and large-dataset querying.
• Collaborate with ML research, ML training platform, and data engineering teams to integrate solutions seamlessly.
• Communicate complex technical strategies to both technical and non-technical stakeholders.

Conocimientos

Python

Leadership

Cloud computing

Data modeling

Educación

BS or MS in Computer Science or related field

Herramientas

Airflow

AWS

Step Functions

Parquet

Iceberg

Lance

Git

Descripción del empleo

Role overview

A senior leadership role responsible for building and leading a new Data Platform team focused on accelerating machine learning dataset generation and scaling a petabyte-scale data warehouse. The position blends hands-on technical leadership with people management in support of autonomous vehicle development.

Responsibilities

• Build, lead, and manage a high-performing team of data and infrastructure engineers
• Define team goals, priorities, and roadmap aligned with broader organizational objectives
• Provide technical guidance, mentorship, and career development for team members
• Define the technical vision for storing metrics and generating ML datasets for large computer vision and behavioral models
• Evaluate and adopt cutting-edge technologies for data loaders, metric ingestion, and large-dataset querying
• Collaborate with ML research, ML training platform, and data engineering teams to integrate solutions seamlessly
• Communicate complex technical strategies to both technical and non-technical stakeholders

Requirements

• BS or MS in Computer Science or a related field
• 8+ years of professional experience in data platform engineering
• 3+ years in a technical lead or management role overseeing 3-7 direct reports
• Extensive experience with petabyte-plus scale data platforms such as data warehouses, object storage, and ML training data stores
• Hands-on experience with workflow orchestration frameworks such as Airflow or AWS Step Functions
• Strong programming skills in Python, with C++ experience a plus
• Deep knowledge of data storage formats such as Parquet, Iceberg, and Lance and their tradeoffs
• Strong knowledge of cloud infrastructure (AWS or GCP) and their product offerings
• Prior experience building data warehouses or lakehouse architectures at a machine learning or robotics organization

Nice to have

• Prior experience in autonomous vehicles
• Prior experience with Bazel-based build systems

Benefits and work setup

• Hybrid schedule with in-office time in Boston, Pittsburgh, or Las Vegas, or fully remote
• Medical, dental, and vision coverage
• 401k with company match, health savings accounts, and life insurance
• Pet insurance
• Base salary range of $172,000-$229,000 USD
• Eligibility for additional compensation such as bonus or company equity