Product Manager, Core Metrics and Surfaces

MINIMUM QUALIFICATIONS

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in product management or a related technical role.
• 2 years of experience taking technical products from conception to launch

(e.g., ideation to execution, end-to-end, 0 to 1, etc.).

• 2 years of experience working cross-functionally with engineering, UX/UI,

sales finance, and other stakeholders.

• Experience building dashboards and reporting on organizational metrics.
• Experience integrating generative AI tools or LLM interfaces into workflows.

PREFERRED QUALIFICATIONS

• Master's degree in a technology or business related field.
• 3 years of experience in a role preparing and delivering technical

presentations to executive leadership.

• 2 years of experience in software development or engineering.
• 1 year of experience in technical leadership.

ABOUT THE JOB

• At Google, we put our users first. The world is always changing, so we need
• Product Managers who are continuously adapting and excited to work on products
• that affect millions of people every day.

• In this role, you will work cross-functionally to guide products from conception
• to launch by connecting the technical and business worlds. You can break down
• complex problems into steps that drive product development.

• One of the many reasons Google consistently brings innovative, world-changing
• products to market is because of the collaborative work we do in Product
• Management. Our team works closely with creative engineers, designers,
• marketers, etc. to help design and develop technologies that improve access to
• the world's information. We're responsible for guiding products throughout the
• execution cycle, focusing specifically on analyzing, positioning, packaging,
• promoting, and tailoring our solutions to our users.

• We are seeking a forward-thinking product leader driven to revolutionize the
• understanding, measurement, and actionability of AI transformation metrics. In
• this role, you will partner closely with Data Science
• (DS), User Experience Research (UXR), and engineering to develop a roadmap for
• our next-generation AI transformation metrics and surfaces. You will foster
• close collaboration with engineering and metrics teams across Google product
• areas to pioneer, co-develop, and pilot these meaures. You will leverage AI
• capabilities to rapidly prototype and develop ideas.

• The Core team builds the technical foundation behind Google’s flagship products.
• We are owners and advocates for the underlying design elements, developer
• platforms, product components, and infrastructure at Google. These are the
• essential building blocks for excellent, safe, and coherent experiences for our
• users and drive the pace of innovation for every developer. We look across
• Google’s products to build central solutions, break down technical barriers and
• strengthen existing systems. As the Core team, we have a mandate and a unique
• opportunity to impact important technical decisions across the company.

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

US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES

• Partner directly with internal customers to understand their most critical

• pain points, ensuring metrics and surfaces meet real needs and drive insights
• and action.

• Own the end-to-end lifecycle from rapid prototyping and technical trade-offs

• to iterative, monthly launches, accelerating execution across engineering and
• DS/UXR boundaries.

• Translate the product goal into highly tactical, near-term milestone plans

• focused on continuous releases that prioritize speed-to-market and immediate
• user value.

• Drive a heavy focus on metric evaluation, including explainability,

inspectability, and understandability.

• Partner closely with internal teams to expand metric development and adoption

for key measures across Google.