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Staff Technical Recruiter

Waymo

Staff Technical Recruiter

Waymo

Warsaw, Poland

·

On-site

·

Full-time

·

1w ago

Benefits & Perks

Equity

Bonus

Healthcare

Equity

Healthcare

Required Skills

Technical recruiting

Relationship management

Candidate assessment

Offer negotiation

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 People team recruits and supports the world's best talent (including, we hope, you). Our HR business partners, program administrators, staffers, and compensation specialists help our employees attain their full potential in a healthy, considerate and supportive environment.

In this hybrid role, you will report to the Recruiting Lead for Onboard Engineering.

You will:

  • Contribute to the entire recruiting life-cycle, including sourcing activity, and make sure to build and execute against an equitable, inclusive, and accessible hiring system.

  • Manage hiring manager relationships – develop partnership with the hiring manager to help define the scope of their needs, advise on leveling, and help drive the hiring manager to a hiring decision.

  • Perform recruiting analyses and talent assessments to determine how best to optimize your search strategy and overall hiring productivity, making adjustments to strategy as appropriate.

  • Manage candidate relationships; providing excellent candidate care and experience.

  • Extend, negotiate and close offers, including making recommendations to hiring managers and champ callers on offer close strategy.

You have:

  • 8+ Years of experience doing full lifecycle technical recruiting including experience working for international companies

  • Experience leading hiring strategy for complex technical organizations

  • Success building relationships of influence with senior business leaders

  • Familiarity with software engineering hiring profiles

  • Aptitude for technical terminology and concepts

  • Proven success closing candidates

  • Experience owning and improving hiring process

  • Experience working in a startup or fast paced hiring environment

  • Excellent communication skills.

We prefer:

  • Experience recruiting for machine learning engineers

  • Passion for robotics, autonomy, ML

  • Experience hiring for engineers at top tier global companies

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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