refresh

トレンド企業

Trending

採用

JobsGoogle

Product Engineering Lead, Product Operations

Google

Product Engineering Lead, Product Operations

Google

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Stock options

Competitive salary and bonus

Collaborative environment

Health benefits

Parental leave

Equity

Healthcare

Parental Leave

Required Skills

Tableau

SAP

SQL

About the job

The Manufacturing Operations team is responsible for providing the manufacturing capability to deliver physical infrastructure.

As a Product Engineering Lead, you will evaluate the product designs and create the processes, tools and procedures behind Google’s powerful search technology. When vendors build parts for our infrastructure, you will be there alongside ensuring manufacturing processes are repeatable and controlled. You will collaborate with commodity managers and design engineers to determine Google’s infrastructure needs and product specifications. You will ensure that the various pieces of Google’s infrastructure fit together perfectly and keep our systems humming along smoothly for a seamless user experience and effective product realization through comprehensive technical leadership.
Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Responsibilities

  • Lead reviews between design and operations engineering to drive deliverables that are key to implementing the manufacturing plan, Design for X (DFx) and test strategy.

  • Provide pre-production builds support. Ensure factory readiness, support manufacturing line bring-up, provide product debug training and gather feedback on build issues. Manage and drive the yield bridge analysis to improve product quality.

  • Partner with quality engineers to establish product quality and reliability goals. Validate product qualification plans, support reliability testing and review results to ensure product performance meets requirements.

  • Coordinate release of New Product Introduction (NPI) bill of materials into Product Data Management (PDM) systems. Perform technical review of product changes and assess impact on supply chain.

  • Support supply chain continuity planning, such as second source part qualification, assembly qualification and release of engineering change order and manufacturer change order.

Minimum qualifications

  • Bachelor's degree in Electrical Engineering or equivalent practical experience.

  • 10 years of experience in a company developing supply chains in manufacturing and testing.

  • Experience in system architecture, functional or board level testing for compute, storage or related products.

Preferred qualifications

  • Master's degree or PhD in Electrical, Mechanical, Industrial, Materials, or a related engineering field.

  • Experience in developing technical relationships with contract manufacturers.

  • Experience in SQL, Python or scripting.

  • Understanding of Automatic Test Equipment (ATE) tests, Design for X (DFX), quality, and reliability.

  • Ability to drive root cause analysis, corrective actions and continuous process improvements working with cross-functional teams, contract manufacturers and suppliers.

  • Excellent attention to detail, problem-solving, and organizational skills, with the ability to produce a timely and accurate work product.

Total Views

0

Apply Clicks

0

Mock Applicants

0

Scraps

0

About Google

Google

Google

Public

Google specializes in internet-related services and products, including search, advertising, and software.

10,001+

Employees

Mountain View

Headquarters

$1,700B

Valuation

Reviews

3.7

25 reviews

Work Life Balance

3.8

Compensation

4.2

Culture

3.4

Career

3.9

Management

2.8

68%

Recommend to a Friend

Pros

Excellent compensation and benefits

Smart and talented colleagues

Great perks and work flexibility

Cons

Management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and reorganizations

Salary Ranges

63,375 data points

Junior/L3

L3

L4

L5

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L3

0 reports

$176,704

total / year

Base

-

Stock

-

Bonus

-

$150,298

$203,110

Interview Experience

9 interviews

Difficulty

3.4

/ 5

Duration

14-28 weeks

Offer Rate

44%

Experience

Positive 0%

Neutral 56%

Negative 44%

Interview Process

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense