Google

Senior Technical Program Manager, Generative AI, Google Cloud

Google$192K — $278K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in a technical field or equivalent experience.
  • 8 years of program management experience.
  • Experience with artificial intelligence and machine learning projects.
  • Proficient in creating and monitoring KPIs for AI products.
  • Familiarity with AI model testing, evaluation, tuning processes, and LLM release cycles.

Responsibilities

  • Manage complex AI programs using technical and product expertise.
  • Oversee the entire project lifecycle, including requirement gathering and risk assessment.
  • Collaborate with engineering and product teams to set workstreams and milestones.
  • Use data-driven approaches to create actionable plans and mitigate risks.
  • Lead customer engagements and establish KPIs to measure success.

Benefits

  • Access to various health and wellness programs.
  • Generous paid time off and holiday policies.
  • Opportunities for professional development and career growth.
  • Participation in a robust retirement plan option.
  • Innovative work environment with a culture focused on diversity and inclusion.
Full Job Description
Minimum qualifications:
  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 8 years of experience in program management.
  • Experience with artificial intelligence/machine learning projects, tools, or infrastructure.
  • Experience creating and monitoring KPIs for AI products.
  • Experience with AI model testing, evaluation, and tuning processes, as well as LLM release cycles and timeline management.

Preferred qualifications:
  • 8 years of experience managing cross-functional or cross-team projects.
  • Experience managing or deploying distributed workloads in hybrid cloud environments (e.g. spanning public cloud and on-premises infrastructures such as Google Distributed Cloud (GDC)).
  • Experience with AI inference processes and model deployment optimization (e.g., model serving architectures, quantization, continuous batching, and utilizing hardware accelerators like GPUs/TPUs).


About the job

Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers.

Using your extensive technical and leadership expertise, you manage projects of various size and scope, identifying future opportunities, improving processes and driving the technical directions of your programs.

As a Technical Program Manager (TPM), you will lead the delivery of Generative AI products for enterprise customers. You will partner with product managers, engineers, and leadership to define roadmaps, prioritize features, dive deeper into the technical and product specifications, and drive complex technical projects to successful release.

In this role, you will navigate a fast-paced environment where your technical depth, product understanding, and program management expertise directly influence Google's AI strategy. You will be passionate about AI, skilled at managing complex programs, and ready to go deep technically on the product specifications. Help us empower developers to build the next generation of intelligent applications.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $192000 - $278000 (USD) 20% bonus target equity benefits

Learn more about benefits at Google .

Responsibilities
  • Manage complex AI programs by applying deep technical and product understanding, leveraging this knowledge to identify efficiencies and provide thought leadership.
  • Direct the entire project lifecycle-including requirement gathering, risk assessment, feature prioritization, and planning-to build cohesion and alignment across all stakeholders.
  • Partner closely with engineering and product management to define workstreams, resource plans, and milestones, while delivering clear strategic updates to unique audiences and leadership.
  • Utilize independent judgment to develop actionable, data-driven plans, proactively mitigate risks, resolve blockers, and design and implement processes that enable the team to scale.
  • Manage high-impact customer engagements, advocate for innovative evaluation methodologies, and define Key Performance Indicators (KPIs) to drive data quality and programmatic success.


About Google

Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
Learn more about Google
Size
156,500 employees
Market Cap
$1,115.4 billion
Industry
Net Income
$40.2 billion
Founded
1998
5 Year Trend
+23.3%
Revenue
$182.5 billion
NASDAQ

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