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Full-Time

Product Manager

ML Data Engine

Confirmed live in the last 24 hours

Aurora Innovation

Aurora Innovation

1,001-5,000 employees

Develops autonomous driving systems for vehicles

Data & Analytics
Robotics & Automation
Automotive & Transportation
Hardware
Industrial & Manufacturing
AI & Machine Learning

Compensation Overview

$181k - $290kAnnually

+ Bonus + Equity Compensation

Senior, Expert

Mountain View, CA, USA

Category
Product Management
Product
Required Skills
Agile
Communications
Data Science
Management
Requirements
  • Minimum of 7 years experience as a Product Manager, or Engineering Manager, or Engineer in an autonomous systems, robotics, data science, machine learning, computer vision, or software development environment.
  • Bachelor’s degree in Engineering, Computer Science, Math, Data Science, Information Systems or a related area, or the equivalent in experience with evidence of exceptional ability preferred.
  • A strong familiarity with machine learning models, robotics or computer vision systems and their architecture.
  • Direct, measurable impact through the design, development and launch of groundbreaking products or delivery of significant and novel technology programs.
  • Solid technical aptitude and an ability to understand technical designs, software development lifecycle, challenges and risks; ability to work closely with engineers.
  • Strong experience in project management; practical familiarity with both Agile and Waterfall methodologies and ability to apply them where best suited.
  • Strong written and verbal communication skills with the ability to adjust communication based on audience.
  • Passion for shipping new to market products and the ability to dynamically adapt to new responsibilities needed to do so
Responsibilities
  • Partner deeply with Autonomy Data and Motion Planning leads and engineers to help generate various Data artifacts which are used for training and validation of ML models as well as the Driver software as a whole.
  • Assess requirements for Validation and ML Training, facilitate selection of the best options, and coordinate the team to successfully evolve tools and operational processes to achieve them.
  • Track progress, resolve dependencies, evaluate risks and communicate status to upper management and project stakeholders, and engage and energize the project teams to achieve aggressive goals.
  • Manage complex projects at a large scale, spanning many functional teams and cross-functional initiatives. Instill an efficient project management mindset and workflow across the team, and function as a go-to resource for project management mentorship
  • Remove obstacles to drive momentum and progress, identify gaps in communication or schedule, manage issue escalations and provide support to teams balancing competing priorities, and drive results proactively.
  • Understand technical implementation at the architectural level and propose technical alternatives when necessary; ask questions that clarify priorities and push the team to be effective.

Aurora is developing the Aurora Driver, an intelligent autonomous driving system designed for multiple vehicle types, including freight-hauling trucks and ride-hailing passenger vehicles. The technology incorporates a fusion of sensor types, high definition mapping data, and continuous training on public roads and in virtual tests to ensure safe and efficient autonomous transport.

Company Stage

IPO

Total Funding

$5.4B

Headquarters

Mountain View, California

Founded

2017

Growth & Insights
Headcount

6 month growth

5%

1 year growth

9%

2 year growth

14%

Benefits

Medical, Vision, Life Insurance

Paid leave

Vacation, Holidays & Sick Time

LinkedIn Learning

Aurora Academy

401(k)

Commuter Benefits

Flexible Spending Account

Onsite Food

PerkSpot

Working from Home Support

Emotional & Physical Wellness

Employee Assistance Program