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채용Waymo

Digital Engineering Program Lead

Waymo

Digital Engineering Program Lead

Waymo

Mountain View, CA USA

·

On-site

·

Full-time

·

4w ago

필수 스킬

Go

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.

The Business Systems team defines and builds the business IT architecture that supports the commercial operation of Waymo's autonomous fleet. The team stands at the intersection of finance, operations and IT; through creative architecture, expertise and attention to detail, it ensures that Waymo has world-class capabilities across all its business processes.

We are seeking a strategic and execution-oriented Digital Engineering Program Lead to drive end-to-end transformation across Supply Chain and Operations. This role will lead large-scale digital programs focused on automation, forecasting, planning, global partner integrations, inventory accuracy, logistics efficiency, and operational excellence.

You will partner closely with Supply Chain, Operations, Finance, Digital Engineering, AI/ML, and cross-functional leaders to translate business needs into scalable systems, drive digital-first capabilities, and ensure successful program delivery from concept to production.

This role is ideal for someone who thrives at the intersection of technology, operations, and program delivery—with strong leadership, stakeholder alignment, and execution discipline.

In this hybrid role, you will report to Head of Portfolio Strategy

You will:

Program Leadership & Delivery

  • Lead the digital transformation for Supply Chain & Operations (planning, logistics, manufacturing, service). Manage end-to-end program delivery: scoping, requirements, execution, and go-live. Define technical/functional plans, risks, and success metrics. Ensure solutions are scalable and align programs with corporate OKRs.

Business Partnership & Strategy

  • Act as the liaison between Supply Chain/Operations and Digital Engineering. Translate operational needs into system requirements (forecasting, integrations, logistics). Shape digital capabilities for global scaling (automation, AI). Identify gaps for cost/accuracy/throughput optimization.

Stakeholder Engagement & Governance

  • Manage cross-functional stakeholders (Finance, Legal, etc.). Run portfolio governance (intake, prioritization, status reviews, executive reporting). Drive alignment on outcomes, timelines, and budget. Present updates to senior leadership.

System & Capability Ownership

  • Own system delivery for: forecasting, partner integrations, inventory, logistics visibility, supplier/vendor management, and work order/service operations. Improve data integrity and operational insights using AI, analytics, and automation.

Budget & Vendor Management

  • Manage program budgets, forecasts, and financial tracking. Oversee vendor partners, SOWs, contracts, and performance, ensuring cost-efficient delivery.

You have:

  • 8-10 years of experience in program/project management, digital engineering, or supply chain/operations technology roles.

  • Educational background

  • Bachelor of Computer Science or equivalent

  • Strong background in supply chain systems, ERP, planning platforms, integrations, logistics, or operations management.

  • Proven experience leading complex, cross-functional technical programs in a fast-growing or enterprise environment.

  • Excellent skills in road map planning, stakeholder management, risk mitigation, and executive communication.

  • Ability to convert operational pain points into digital solutions with clear business impact.

  • Familiarity with AI/ML, analytics, automation, and data-driven operations preferred.

We prefer:

  • Experience with digital transformation in global supply chains or operations networks.

  • Background in autonomous systems, manufacturing operations, hardware supply chain, or fleet operations is a plus.

  • Strong ability to balance strategy with execution.

  • Ability to thrive in ambiguity and fast-paced environments

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**$168,000—$207,000 USD**

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Waymo 소개

Waymo

Waymo

Series C

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

직원 수

Mountain View

본사 위치

$200B

기업 가치

리뷰

4.2

10개 리뷰

워라밸

2.8

보상

4.1

문화

4.3

커리어

3.5

경영진

3.8

78%

친구에게 추천

장점

Supportive and collaborative team environment

Innovative and cutting-edge technology projects

Competitive salary and excellent benefits

단점

Fast-paced environment can be stressful

Work-life balance challenges

High pressure and overwhelming workload

연봉 정보

310개 데이터

Mid/L4

Mid/L4 · Data Scientist

38개 리포트

$280,748

총 연봉

기본급

$183,551

주식

$74,549

보너스

$22,649

$187,768

$434,285

면접 경험

5개 면접

난이도

3.6

/ 5

소요 기간

14-28주

합격률

60%

경험

긍정 40%

보통 60%

부정 0%

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Coding Round

5

Onsite/Virtual Interviews

6

Final Round

자주 나오는 질문

Coding/Algorithm

Machine Learning

System Design

Behavioral/STAR

Technical Knowledge