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Product Strategy Lead, Go-To-Market, Data Signals

Product Strategy Lead, Go-To-Market, Data Signals

GoogleLos Angeles, CA, US
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Overview

Join to apply for the Product Strategy Lead, Go-To-Market, Data Signals role at Google

The application window will be open until at least October 12, 2025. This opportunity will remain online based on business needs which may be before or after the specified date.

This role may also be located in our Playa Vista, CA campus. By applying to this position you will have an opportunity to share your preferred working location from the following : Mountain View, CA; Atlanta, GA; Boulder, CO; New York, NY; Los Angeles, CA; San Bruno, CA; San Francisco, CA; Sunnyvale, CA

Minimum qualifications and location preferences are listed below. This description retains the original language and intent.

Minimum qualifications

  • Bachelor\'s degree or equivalent practical experience.
  • 4 years of experience in management consulting, sales operations, business strategy, investment banking, venture capital, private equity, or corporate advisory, or 2 years of experience with an advanced degree.

Preferred qualifications

  • Experience in sales or product strategy in traditional or digital advertising.
  • Knowledge of Google\'s signals products (e.g., One Google Tag, Enhanced Conversions, Google Tag Gateway, Data Manager, Google Analytics, audience solutions).
  • Ability to translate product offerings into sales-facing value propositions in line with customer business and marketing objectives with a customer-focused mindset.
  • Ability to grow in a fast-moving, ambiguous environment.
  • Excellent verbal and written communication skills, with the ability to present concepts to various audiences and synthesize insights, and drive action.
  • Excellent operational accuracy, problem-solving, and investigative skills.
  • Responsibilities

  • Lead commercialization of core Signals products, driving success for customers and Google by developing strategies to ensure data signals are collected and activated across Americas Large Customer Sales (LCS) customers.
  • Launch and land activation plans for Data Signals solutions across ALCS customers, including building lead lists, setting product adoption goals, creating collateral, upskilling sellers, and scaling best practices.
  • Build cross-functional relationships with key stakeholders across regions, products, and roles, collaborating to solve signals issues and drive progress.
  • Analyze data to identify trends, insights and intelligence to support decision-making and activation, pairing quantitative findings with qualitative observations to guide business decisions.
  • Assess how signals innovation, engaged offerings, and emerging AI solutions in data and ecosystem changes will impact customer measurement, and use insights to shape activation plans.
  • Compensation and benefits

    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.

    Equal opportunity

    Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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