Product Manager, Governance Risk and Compliance Tooling

Google•Austin, TX

1d•$163,000 - $237,000

About The Position

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. The Technical Risk Management organization is dedicated to protecting the company by managing the complex lifecycle of external risks. As part of the Governance, Risk, and Compliance (GRC) tooling and infrastructure product team, we build the technical foundation that enables automated, scalable risk assessments and compliance monitoring. The team is evolving the infrastructure to be AI-first, leveraging generative AI and machine learning to transform manual risk workflows into automated processes. As a Product Manager in the GRC tooling and infrastructure team, you will lead the strategy and execution for the next generation of risk management tools, bridging the gap between complex regulatory requirements and engineering solutions. This role is highly cross-functional, requiring partnership with Engineering, UX, Legal, and Privacy stakeholders to deliver infrastructure. 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.

Requirements

Bachelor's degree or equivalent practical experience.
5 years of experience in technical product management, including experience taking software products through a full lifecycle.
2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).
Experience building or implementing AI/ML-driven features or infrastructure (e.g., working with LLMs, NLP, or data pipelines).

Nice To Haves

Master's degree in a technology or business related field.
Experience working with infrastructure components, APIs, and how to scale data-intensive platforms.
Experience with prompt engineering, model evaluation, or deploying AI solutions in a corporate/enterprise environment.
Experience working in Risk Management, Compliance, Security, or Governance (GRC) technology.
Ability to use data to justify product decisions and measure the efficiency gains of automated workflows.
Ability to communicate complex technical concepts to non-technical stakeholders in legal and risk.

Responsibilities

Define and lead the product idea for integrating AI/ML capabilities into GRC infrastructure (e.g., automated document classification, LLM-based risk summarization, and predictive risk scoring).
Drive the development of scalable backend services and tooling that support the TRM organization’s data ingestion, risk engine, and reporting needs.
Manage the entire product lifecycle from ideation to launch, including writing detailed PRDs, managing backlogs, and defining success metrics.
Work closely with Risk and Compliance practitioners to translate their domain expertise into technical requirements.
Partner with engineering and data science teams to prioritize high-impact AI features while ensuring data privacy and ethical AI standards are maintained.