Google
Mountain View or New York City or San Francisco
Global Product Lead, GTM Intelligence and Optimization
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Apply to Global Product Lead, GTM Intelligence and Optimization at GoogleJob details
- Location
- Mountain View or New York City or San Francisco
- Work type
- Onsite
- Compensation
- $148,000 - $215,000/yr
- Posted
- yesterday
- Apply on
- careers.google.com
About this role
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA; San Francisco, CA, USA.
US: $148000 - $215000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.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.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA; San Francisco, CA, USA.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 6 years of experience in product or program management.
- Experience with data analysis or data tools (e.g., SQL, MySQL, Tableau, etc.).
- Experience working with system design or product design.
Preferred qualifications:
- Experience with data-driven analysis and reporting.
- Ability to manage multiple stakeholders.
- Strong written and verbal communication skills.
About the job
In this role, you will partner closely with Data Science, Product, Engineering, Sales, and Program Management to deeply understand operational pain points, form business requirements, and prioritize ML/AI and causal inference solutions to influence Google Customer Solutions (GCS) Program impact measurement product development and landing.Google Customer Solutions (GCS) sales teams are trusted advisors and competitive sellers who maintain a relentless focus on customer success by bringing the best Google has to offer to small- and medium-sized businesses (SMBs), which are the backbone of our communities. As a member of our team, you’ll have the opportunity to work with company owners and make a real difference in their businesses by helping them grow. Together, we help shape the future of innovation for customers, partners, and sellers...and we have fun doing it.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $148000 - $215000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Lead the design, execution, and integration of impact measurement frameworks. Refine how we capture treatment depth, account for program volatility, and design frameworks that quantify sales and program effectiveness to drive business decisions.
- Drive a "product-first" mindset that influences technical data science roadmaps and establishes self-sustaining, automated operational infrastructures.
- Translate strategies and sales activity adoptions into actionable business requirements for Data Science and Engineering. Act as the bridge between sales needs and technical product constraints, ensuring the full depth of seller-client interactions is captured.
- Advocate the development and deployment of AI-enabled products and intelligent assistants. Eliminate manual data bottlenecks, establish a single source of truth, and empower leadership and strategy teams with insights that accelerate decision-making.
- Guide the extraction and standardization of advanced data signals, including speech-to-text pitch detection and customer engagement metrics.
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