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Program Manager, AI Data Operations Job Opening In Bengaluru – Now Hiring Google


Job description

Program Manager, AI Data Operations

_corporate_fare_ Google _place_ Hyderabad, Telangana, India; Bengaluru, Karnataka, India

**Mid**

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

_info_outline_

XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: **Hyderabad, Telangana, India; Bengaluru, Karnataka, India** .

**Minimum qualifications:**

+ Bachelor's degree or equivalent practical experience.
+ 5 years of experience in program management.
+ 3 years of experience with GenAI use cases or AI Agentic development.

**Preferred qualifications:**

+ 8 years of experience with program management.
+ Ability to operate with energy and flexibility in a constantly evolving work environment.
+ Ability to work separately and on multiple initiatives at the same time.

**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 Program Manager at Google, you’ll lead complex, multi-disciplinary projects from start to finish — working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company.

Your projects will often span offices, time zones, and hemispheres.

It's your job to coordinate the players and keep them up to date on progress and deadlines.
The AI and Infrastructure team is redefining what’s possible.

We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity.

Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future.

From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

**Responsibilities**

+ Understand various Google products, tools and processes and leverage them to push machine learning based automation and increase operational efficiencies.
+ Deliver critical pieces of analysis and use these to drive new insights and uncover improvement opportunities, identify and implement large-scale measurable and scalable solutions for Machine learning projects.
+ Support teams in a changing environment to drive large-scale program delivery from concept to completion, leading through multiple evolutions along the way.

Demonstrated ability to prioritize, adapt to change, and provide flexible thought partnership in a rapidly evolving landscape.
+ Establish quality framework collaborating with multiple partners/stakeholders and publish methodologies that enable AI improvements across teams.
+ Responsible for driving pilots to scale enabling new ways to get data collaborating with multiple Product Areas (PAs) and find ways to improve AI models supporting critical launch dates.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .

Google is proud to be an equal opportunity and affirmative action employer.

We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.

See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

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.

To all recruitment agencies: Google does not accept agency resumes.

Please do not forward resumes to our jobs alias, Google employees, or any other organization location.

Google is not responsible for any fees related to unsolicited resumes.
Google is proud to be an equal opportunity workplace and is an affirmative action employer.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.


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Before the Interview:

Research: Learn about the Google's mission, values, products, and the specific job requirements and get further information about

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Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

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Final Thought:

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