Product Manager, Information Retrieval
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Minimum qualifications:
- Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
- 3 years of experience in technical product management, or a similar role.
Preferred qualifications:
- Experience working on large-scale distributed systems, infrastructure, or reliability engineering.
- Experience defining and tracking metrics and Service-Level Objectives (SLOs).
- Experience as an AI Native product builder, with a strong understanding of Retrieval-Augmented Generation (RAG) or Large Language Models (LLMs).
- Familiarity with Site Reliability Engineering (SRE) principles and practices.
- Ability to translate complex technical concepts into clear business terms.
- Ability to collaborate, support and partner effectively with SRE teams.
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.
As a Product Manager, you will own and drive the reliability of Google's core Information Retrieval systems, which are foundational to our AI-centric future. This horizontal role is critical to operationalizing our reliability strategy, ensuring our systems are dependable for critical clients like Google DeepMind, Search, Ads, Cloud, YouTube, and more.
In this role, you will not just be defining what needs to be done, but you will own how we achieve our reliability goals. You will translate strategic business needs into concrete specifications for standard tooling, processes, and best practices. Your work will directly impact the stability, trustworthiness and scalability of services used by billions, and is a once-in-a-career opportunity to bring an AI native approach to system-level reliability.
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.
The US base salary range for this full-time position is $132,000-$189,000 + 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
- Define, collect, track, and evolve the key metrics to measure our reliability maturity across all critical customers.
- Transform the critical client list and risk registry from ad-hoc documents into continuously updated, data-driven product artifacts used for leadership decision-making.
- Expand and enhance scorecards to cover all key customers.
- Collaborate with engineering and Technical Program Management teams to define and validate requirements for standardized, reliable ways to build and operate IR systems.
- Advocate and drive the application of AI/ML to proactively enhance system reliability, including agentic capabilities for automated root-cause analysis and mitigation strategies.
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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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