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Technical Program Manager, Trade Security

Waymo

Technical Program Manager, Trade Security

Waymo

Mountain View, CA, USA; San Francisco, CA, USA

·

On-site

·

Full-time

·

1w ago

Compensation

$196,000 - $248,000

Benefits & Perks

Equity

401(k)

Healthcare

Equity

401k

Healthcare

Required Skills

Technical Program Management

Trade Compliance

Cross-functional coordination

Risk management

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

Waymo’s Technical Program Managers are accountable for Waymo’s roadmap execution by providing thoughtful cross-functional planning, clarity, and proactive risk management. In the face of complex technical and operational challenges with no established playbooks to follow, we act with thoughtful urgency, driving conversations, discussions, and outcomes. Our team partners closely with every function of Waymo to structure, own and drive work towards real-world deployments of the Waymo Driver across platforms and geographies.

This role follows a hybrid work schedule and you will report to the Manager of Technical Program Management.

You will:

  • Design, define, and drive the Technical Program Management (TPM) strategy for Waymo's Security Trade compliance, encompassing security compliance aspects associated with international import/exports, transportation, and IP protection.

  • Coordinate a complex, multidisciplinary program across Legal, Engineering, Hardware, Security, and Google partners to implement and enforce required physical and digital import and export control restrictions.

  • Structure and manage the execution of a range of global trade compliance projects in close conjunction with Legal.

  • Proactively work with Legal to address trade compliance risks related to Waymo’s data, technology and confidential intellectual property (IP), and work with internal stakeholders to develop and implement appropriate mitigation strategies.

  • Establish clear, standardized processes and measurable metrics to report on the status, risks, and dependencies of the trade compliance program to leadership and stakeholders.

  • Organize and drive international trade workstreams, bringing clarity to complex, ambiguous, and novel geopolitical challenges that impact Waymo's supply chain and deployment plans.

You have:

  • Experience with understanding cross-functional perspectives and navigating ambiguity. Ability to identify and create streamlined processes to support a growing company.

  • Execution-oriented individual with strong interpersonal, communication, and team skills.

  • Extensive technical background and understanding of autonomous vehicle technology, e.g., sensor hardware, AI/machine learning software and/or export controlled technologies.

  • Understanding of semiconductor product life cycle.

  • A proven track record of successfully managing complex technical projects involving international trade, import/export, or government regulatory compliance programs.

  • 5+ years of experience as a Technical Program Manager or similar role in a hardware or highly regulated environment.

We prefer:

  • Experience defining and implementing trade security policies (e.g., deemed export, technology control plans) within a technology or defense sector company

  • Familiarity with autonomous driving or robotics projects

  • A background that includes working directly with Legal, Government Affairs, Supply Chain, Product, and Engineering organizations to enforce technical compliance requirements

  • Prior experience defining and tracking technical risk related to product development life cycles, supply chain security or hardware vulnerability management

  • Experience with export control classifications (e.g., U.S. EAR,, ECL ) for technology components

  • Fluent in English and another prolific EMEA or APAC language

Travel requirement:

  • Estimating 5-10% international travel may be required as part of this role

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range**$196,000—$248,000 USD**

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About Waymo

Waymo

Waymo LLC is an American autonomous driving technology company headquartered in Mountain View, California. It is a subsidiary of Alphabet Inc., Google's parent company.

1,001-5,000

Employees

Mountain View

Headquarters

$200B

Valuation

Reviews

4.2

2 reviews

Work Life Balance

3.5

Compensation

3.0

Culture

4.5

Career

3.5

Management

3.5

85%

Recommend to a Friend

Pros

Excellent engineering culture

Interesting technical domain

Elite perception team

Cons

Compensation may not be competitive with other tech companies

Career trajectory concerns

Limited advancement opportunities

Salary Ranges

1,233 data points

Mid/L4

Mid/L4 · Data Scientist

38 reports

$280,748

total / year

Base

$183,551

Stock

$74,549

Bonus

$22,649

$187,768

$434,285

Interview Experience

5 interviews

Difficulty

3.6

/ 5

Duration

14-28 weeks

Offer Rate

60%

Experience

Positive 40%

Neutral 60%

Negative 0%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Coding Round

5

Onsite/Virtual Interviews

6

Final Round

Common Questions

Coding/Algorithm

Machine Learning

System Design

Behavioral/STAR

Technical Knowledge