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Google
Google

Organizing the world's information and making it universally accessible.

Senior Technical Program Manager, Customer Engagement, Applied AI

RoleProduct
LevelSenior
WorkOn-site
TypeFull-time
Posted1 month ago
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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.

The Google Cloud Applied AI (AAI) Solutions Consulting team functions as a high-stakes unit responsible for Google’s most strategic AI deployments. We bridge the gap between experimental AI and enterprise reality, acting as the technical and strategic engine that turns complex business problems into production-ready agentic solutions.

As a Technical Program Manager, you will be the primary delivery Directly Responsible Individual (DRI) across multiple customers, and the orchestrator of delivery pods that span Product, Development, Go-to-Market (GTM), Partner and Customer teams. You will be the operational foundation for agentic AI deployments, managing daily execution and cross-functional dependencies, and driving the startup-like velocity required to move enterprise customers from pilot phases to full-scale production. You will lead direct customer interactions to define agent behaviors, ensuring the technical roadmap is anchored, while providing the strategic advisory necessary to navigate the transition from legacy stacks to generative AI native architectures. Partnering closely with the technical DRI, you will provide the project management oversight needed to translate complex technical builds into high-impact business solutions.

Applied AI builds conversational agents deployed at a large scale that achieve very meaningful results in the real world. Some examples include the customer agent built for large call center environments, to fast food ordering handled by our Food AI agent. The team is transforming how enterprises connect with customers through the power of AI. We also offer unique experiences for team members where you get to work directly with the model builders (Google Deep Mind / Vertex), learn and work with brilliant AI leaders, and have access to Global 1000 customers via our existing Google Cloud relationships. The opportunity in this space is tremendous.

Responsibilities

  • Be a thought leader within Google and industry on the subject matter domain of the respective organization.

  • Establish a reliable and visible cadence for portfolio reviews, decision-making, prioritization, and resource management, whereby improvements are measurable and the impact can be felt organization wide.

  • Lead the implementation of evaluation pipelines and testing frameworks, ensuring every Large Language Model (LLM) prompt or reasoning update is validated against benchmark datasets to prevent regressions in agent accuracy, persona alignment, and brand voice.

Minimum qualifications

  • Bachelor's degree in a technical field, or equivalent practical experience.

  • 8 years of experience in program management.

  • Experience working with AI agents and generative AI native architectures.

  • Experience building out technical roadmaps.

Preferred qualifications

  • 10 years of experience managing cross-functional or cross-team projects.

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About Google

Google

Google

Public

Google specializes in internet-related services and products, including search, advertising, and software.

10,001+

Employees

Mountain View

Headquarters

$1,700B

Valuation

Reviews

10 reviews

4.5

10 reviews

Work-life balance

3.2

Compensation

4.3

Culture

4.1

Career

4.2

Management

3.8

82%

Recommend to a friend

Pros

Great benefits and perks

Innovative and interesting work

Career development and learning opportunities

Cons

High pressure and expectations

Long hours and heavy workload

Fast-paced and overwhelming environment

Salary Ranges

57,503 data points

Junior/L3

L6

L7

L8

L9

Mid/L4

Principal/L7

Senior/L5

Staff/L6

VP

Intern

Director

L3

L4

L5

Junior/L3 · Associate Product Manager 2 (APM2)

0 reports

$183,233

total per year

Base

-

Stock

-

Bonus

-

$155,748

$210,718

Interview experience

9 interviews

Difficulty

3.4

/ 5

Duration

14-28 weeks

Offer rate

44%

Experience

Positive 0%

Neutral 56%

Negative 44%

Interview process

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

Common questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense