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Open nowFirst seen 4 hours ago

Product Manager, Google Play App Safety Platform

Google3,216 open roles

Where
Bengaluru, Karnataka, India
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Your applicationOpen nowProduct Manager, Google Play App Safety PlatformGoogle · Bengaluru, Karnataka, India

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Google's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

8.0% of postings close within 7 days. Measured by our own scanner across the market. Google postings stay open a median of 26 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.5%3 days
  3. 8.0%7 days
  4. 15.0%14 days
  5. 34.1%30 days
This job: first seen 4 hours ago

Google median: 26 days open

The posting

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.).
  • 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 business function or role (e.g., marketing, business operations, consulting).
  • Experience with mobile app security, app store ecosystems, or content moderation platforms.
  • Strong data-driven mindset with experience defining and optimizing multi-objective platform metrics (safety versus speed versus operational cost).
  • Technical familiarity with LLM security evaluation, AI threat models (e.g., OWASP Top 10 for LLMs), or static/dynamic code analysis tools.

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.

The App and Ecosystem Trust (AET) team ensures safe, secure, and trustworthy experiences across our global app ecosystem. Mokka is the core review engine that processes every app submission, update, and runtime signal to protect billions of users from security vulnerabilities, policy violations, and malicious behavior.

As the Product Manager for Mokka in Bengaluru, you will take the lead on driving the overall strategy and tactical execution of our next-generation review infrastructure. Your core mission is to bridge advanced ML-driven detection capabilities with developer velocity, ensuring our entire ecosystem remains secure without unnecessary friction.

Responsibilities

  • Define the multi-year product roadmap for Mokka, the app safety review platform, to scale under submission volume increases driven by AI-assisted code generation (vibe coding).
  • Balance friction-free onboarding for legitimate developers with verification checks for high-risk or automated app factories.
  • Partner closely with ML Research, Security Engineering, Policy Operations, and Developer Relations across global sites, driving alignment across vertical AET teams to ensure Mokka functions seamlessly as a unified trust platform.
  • Architect automated static, dynamic, and LLM-assisted review pipelines that intercept modern security threats before apps reach production, designing defenses against emerging AI vulnerabilities, including malicious model weights, indirect prompt injection vectors, agentic permission escalation, and generative privacy leaks.
  • Partner with teams to design intelligent human-in-the-loop review interfaces, leveraging generative AI assistants to speed up analyst workflows and reduce manual cognitive load.
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