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Vacancy catalog
Google
Open role>14 days

Product Strategy and Operations

GoogleMountain View, CA, United States
Work model
Office
Experience
4+ years
Employment
Full Time
Compensation
126,000 – 180,000 USD
Technology signal
1 tag

Technology context

1

Parsed from the vacancy text; ordered by relevance to this role.

AI

Published salary bands

Each level keeps its own disclosed range. Amounts are not merged across levels or locations.

  • Band 1

    126,000–180,000 USD / year

    Period inferred from amount; verify against the original listing.

Full listing

Role description

Product Strategy and Operations members work with teams across Google to bring together a cohesive set of data, insights, and deliverables for senior leaders. Our team pushes Google to think strategically and execute efficiently, bringing solid business sense and sound judgment, and working effectively across organizational lines.

Our roles often include components of strategy (e.g. analyzing and understanding new trends in the industry), operations (e.g. running the reporting cadence for organizations), and communications. Our team partners with executive leadership to run important functions that cross-cut our existing organizations and deliver high-impact projects.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $126000 - $180000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google .

Responsibilities

  • Project manage and drive workstreams to provide business critical insights across the entire external tech ecosystem from small startups to large public companies.
  • Work collaboratively with a fast-paced small team to analyze some of the most important themes, financials, metrics, etc. and thoughtfully elevate them to senior stakeholders with discretion.
  • Build executive presentations and drive forward ad hoc special projects.

Minimum qualifications

  • Bachelor's degree or equivalent practical experience.
  • 4 years of experience in management consulting, product management and strategy, or analytics in a technology company.
  • Experience with data analysis and creating presentations or briefings.

Preferred qualifications

  • 2 years of investigative modeling, investment banking, equity research, consulting, private equity, or Chief of Staff experience for a tech company.
  • Experience with business strategy or product strategy, and experience driving insights and process excellence.
  • Familiarity with the ever-changing ecosystem of AI models.
  • Ability to influence existing perspectives or advance alternate ideas to gather consensus and commitment from teams, peers, stakeholders or decision-makers using data and appropriate communication or storytelling methods.
  • Effective leadership skills with demonstrated ability to self-drive impact in a fast-paced environment, while operating with discretion.
  • Excellent attention to detail, time management, multitasking, and prioritization abilities.