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Strategy and Operations Senior Associate, GTM

Google

Strategy and Operations Senior Associate, GTM

Google

·

On-site

·

Full-time

·

1mo ago

Compensation

$118,000 - $170,000

Benefits & Perks

Flexible work arrangements

Professional development budget

401(k) with matching

Collaborative work environment

Stock options

Health and wellness benefits

Flexible Hours

Learning

Equity

Required Skills

Python

Tableau

Salesforce

About the job

Platform and Devices (P&D) Enterprise Go-To-Market Strategy and Operations team acts as thought partner to Chrome OS, Cameyo, and Browser GTM leadership to promote adoption of these solutions to enterprise customers. We provide data analytics to craft the GTM strategy, as well as insights and operational leverage to ensure their success. We work cross-functionally with sales/channel, marketing, product management, and finance to ensure the success of the P&D enterprise businesses globally.

The US base salary range for this full-time position is $118,000-$170,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

  • Evaluate cross-functional issues and promising growth initiatives by developing frameworks to assess trade-offs, leveraging data to ensure objective decision-making, and promoting collective cross-functional engagement.

  • Provide day-to-day support to the GTM teams, specifically defining or tracking Objectives and Key Results (OKRs), pipeline tracking, and centralized business activity reporting. Turn buiness insights into growth initiatives and lead programs.

  • Communicate data-driven recommendations to leadership and to the broader organization by preparing presentations and identifying key takeaways.

  • Contribute to annual planning process including refining 1 and 5 year forecasts, assessing holistic GTM strategy, and working with leads to land investment decisions.

  • Contribute to driving alignment of GTM strategy with executive leadership through regular cadences.

Minimum qualifications

  • Bachelor's degree or equivalent practical experience.

  • 4 years of experience in a management consulting, sales operations, business strategy or corporate advisory role.

Preferred qualifications

  • 2 years of experience creating data sets, data modeling, and reporting.

  • Experience with SQL.

  • Experience designing presentations, managing structured meeting cadences, and paying attention to detail.

  • Experience working in a fluid environment with cross-functional teams.

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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

Mid/L4

Mid/L4 · Technical Program Manager

1,213 reports

$365,196

total / year

Base

$187,658

Stock

$130,822

Bonus

$46,717

$242,776

$576,787

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