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Technical Program Manager, Geo Machine Intelligence (ML)

AT Google
Google

Technical Program Manager, Geo Machine Intelligence (ML)

Bangalore, India

Minimum qualifications:

  • Bachelor's degree in Engineering, other technical related fields, or equivalent practical experience.

  • 1 year of experience in program or project management.

Preferred qualifications:
  • 1 year of experience managing cross-functional or cross-team projects.
  • Experience in solving machine learning or artificial intelligence challenges involving data analytics and statistics.
  • Ability to take initiative and make trade-offs in an ambiguous, fast-changing environment.
  • Excellent verbal and written communication skills, with the ability to interact with technical and non-technical global, cross-functional groups.

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About the job

A problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you'll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You'll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.

Our goal is to build a Google that looks like the world around us - and we want Googlers to stay and grow when they join us. As part of our efforts to build a Google for everyone, we build diversity, equity, and inclusion into our work and we aim to cultivate a sense of belonging throughout the company.

The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives.

The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.

Responsibilities

  • Contribute to and execute Machine Intelligence strategy in collaboration with Engineering teams, and manage cross-functional relationships across Engineering, Operations, and Geo Data Operations.
  • Build scalable and intelligent solutions to produce data that forms the center of Google Maps' consumer and enterprise user needs.
  • Drive adoption of Model Sustainment and AI Operations, develop and deliver Machine Learning projects from conception to implementation.
  • Identify processes, infrastructure, and tooling requirements to scale Machine Learning services and grow engagement.

Client-provided location(s): Bengaluru, Karnataka, India
Job ID: Google-78934335603778246
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • HSA
    • Fitness Subsidies
    • On-Site Gym
    • Mental Health Benefits
    • Health Reimbursement Account
    • HSA With Employer Contribution
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
    • Adoption Leave
  • Work Flexibility

    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • Pet-friendly Office
    • Snacks
    • Some Meals Provided
    • On-Site Cafeteria
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
    • Leave of Absence
    • Volunteer Time Off
  • Financial and Retirement

    • 401(K) With Company Matching
    • Company Equity
    • Performance Bonus
    • Financial Counseling
  • Professional Development

    • Tuition Reimbursement
    • Internship Program
    • Learning and Development Stipend
  • Diversity and Inclusion

    • Employee Resource Groups (ERG)

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