16 hours ago

Product Manager, Applied AI, Google Cloud

Google

On Site
Full Time
$230,000
Bengaluru, Karnataka, India

Job Overview

Job TitleProduct Manager, Applied AI, Google Cloud
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$230,000
LocationBengaluru, Karnataka, India

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Job Description

About The Role

As a Product Manager, Applied AI, Google Cloud, you will spearhead products from their initial concept to successful launch, bridging the gap between technical innovation and business objectives. This role demands a continuous adaptation to evolving user needs, focusing on developing products that impact millions globally. You will work within Google Cloud, which is dedicated to accelerating digital transformation for organizations worldwide, leveraging Google's cutting-edge technology and sustainable developer tools.

You will define the vision, strategy, and roadmap for critical enterprise-grade products, specifically Google Cloud’s Healthcare API and Risk AI portfolios. Your responsibilities include driving expansion into new global regions and leading the design of features such as FHIR-based APIs, medical imaging solutions, and AML detection tools. This position requires managing key relationships with global banks and innovative healthcare organizations, engaging in executive briefings, and navigating complex enterprise readiness and incident response scenarios. Collaborating closely with data science teams, you will optimize model quality, recommend best practices for data labeling and sampling, and guide AI-driven investigations. A core aspect of the role involves balancing diverse feature requests and project deliveries by robustly weighing effort and complexity against OKRs and customer value.

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 with the domain area of Generative AI or Large Language Models (LLMs).

Preferred Qualifications

  • 3 years of experience shipping AI products, specifically in Generative AI and large models, demonstrating an ability to balance model quality with cost/benefit tradeoffs.
  • Experience in API design (REST/JSON) and industry-specific data standards (FHIR, HL7, ICD-10, SNOMED) or Electronic Health Record (EHR) systems (Epic/Cerner).
  • Experience in risk, compliance, or healthcare (Provider/Payer/Life Sciences) within frameworks like HIPAA, GxP, or financial risk governance.
  • Ability to drive goals, Product Requirement Documents (PRDs), and Go-To-Market (GTM) strategy while managing complex cross-functional stakeholders and global launches.
  • Ability to think strategically with ambiguity, iterate for product-market fit, and confidently present to C-suite audiences.

Key Skills/Competency

  • Product Strategy
  • Generative AI
  • LLM Development
  • Healthcare APIs
  • Risk Management
  • API Design (REST/JSON)
  • Cross-functional Leadership
  • Stakeholder Management
  • Go-To-Market Strategy
  • Data Science Collaboration

Tags:

Product Manager
Applied AI
Google Cloud
Product Strategy
Generative AI
LLM
API Design
Healthcare APIs
Risk AI
Go-To-Market
Stakeholder Management
Data Science
REST
JSON
FHIR
HL7
ICD-10
SNOMED
EHR systems
HIPAA
GxP

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How to Get Hired at Google

  • Research Google's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume: Customize your resume to highlight experience in product management, Generative AI, API design, and enterprise cloud solutions, aligning with Google's specific needs.
  • Showcase impact: Quantify your achievements in past product launches, especially those involving AI/ML, healthcare, or financial risk, demonstrating measurable results.
  • Prepare for technical and behavioral interviews: Practice problem-solving related to product strategy, AI/ML concepts, and stakeholder management. Be ready to discuss your leadership and collaboration experiences.
  • Network strategically: Connect with current and former Google employees, especially those in Product Management or Google Cloud, to gain insights and potential referrals.

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