Technical Program Manager - Data Science

Posted 11 Days Ago
Be an Early Applicant
Foster City, CA
Hybrid
159K-201K Annually
Mid level
Artificial Intelligence • Machine Learning • Robotics • Software • Transportation • Design • Manufacturing
Zoox is an autonomous mobility company that’s created a purpose-built robotaxi to give the world a better way to ride.
The Role
As a Technical Program Manager at Zoox, you will collaborate with Data Scientists, Data Engineers, and stakeholders to deliver data science initiatives. Your role involves defining project schedules, identifying milestones, managing dependencies, and providing clear communications on program status and risks throughout the project lifecycle.
Summary Generated by Built In

Zoox has embarked on a highly ambitious journey to develop a full-stack autonomous mobility solution for our cities. As a technical program manager, you will work cross-functionally with engineering leaders across software, hardware, vehicle engineering, and product to drive our corporate strategy into tactical and detailed road maps that facilitate effective execution at each stage of our growth curve. You will work with each engineering team to develop project schedules, identify milestones, flag risks, estimate budgets, and clearly communicate ongoing progress.

In this role, you will:

  • Partner closely with Data Scientists. Data Engineers, Product Teams and Stakeholders to define, and execute on delivering data science initiatives and metrics across multiple areas
  • Proactively identify process improvements, understand best practices and implement them effectively
  • Enable teams to effectively execute the roadmap at all stages of the project's life cycle.
  • Manage dependencies by aligning with stakeholders and data scientists
  • Establish standard reports to provide concise and effective communications to key stakeholders on program status, issues/risks, and accomplishments

Required Qualifications

  • BS or MS degree in computer science, engineering or equivalent job experience
  • At least 3 yrs experience leading Data Science programs
  • Experience working in cross-functional teams
  • Strong references that highlight your ability to build strong working relationships with senior leaders and engineers across functions and departments
  • An ability to keep the big picture in focus and to provide clear, well-structured, and concise communications tailored to each appropriate audience

Preferred Qualifications

  • Experience or Familiarity with using Data Science Platforms such as Databricks
  • Good understanding of Agile/Scrum processes
  • Good understanding of statistical analysis and machine learning

Compensation and Benefits

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $159,000 to $201,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.


Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

Top Skills

Data Engineering
Data Science
The Company
HQ: Foster City, CA
2,500 Employees
Hybrid Workplace
Year Founded: 2014

What We Do

Zoox is an autonomous mobility company that was founded to provide a safer, cleaner, and more enjoyable future on the road. To achieve that goal, the company has spent the past 10 years creating a purpose-built robotaxi that gives the world a better way to ride.

Why Work With Us

At Zoox, we are working to solve one of the greatest technological challenges of our generation.
From the beginning, we have been focused on our goal of reimagining transportation from the ground up. We are a mission-driven community of innovators working together to create a safer, cleaner, and more enjoyable future on the road.

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