Technical Program Manager, Gemini Post-Training, Knowledge Work, DeepMind

Google LLC; San Francisco (CA); On-site; USD 163,000 - 236,000; Full time

Benefits offered by this job

Equity

Bonus target 15%

Benefits

Job summary

Google DeepMind seeks a Technical Program Manager for Gemini Post-Training, Knowledge Work. You will lead multi-disciplinary engineering projects, plan requirements with internal customers, and shepherd initiatives through the full lifecycle—from data pipelines to model evaluations.

You will partner with researchers, engineers, and product managers to define scope, timelines, and resources, turning research priorities into high-quality training data, evaluations, and milestone deliverables.

Qualifications

• Bachelor's degree in CS or related field, or equivalent practical experience.
• 5 years of program management experience.
• Experience coordinating cross-functional teams.

Responsibilities

• Lead complex, multi-disciplinary engineering projects and plan requirements with internal customers.
• Manage project schedules, risks, and communicate them to stakeholders.
• Align technical and product teams and present trade-offs to leadership.
• Translate research priorities into actionable milestones and deliverables.
• Drive Gemini post-training initiatives across data, evaluation, and modeling.

Skills

PM experience

Stakeholder mgmt

Communication

Ambiguity handling

Leadership

Education

Bachelor's degree in CS or related field

Job description

Technical Program Manager, Gemini Post-Training, Knowledge Work, DeepMind

Technical Program Manager, Gemini Post-Training, Knowledge Work, DeepMind

By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA; San Francisco, CA, USA.

• Bachelor's degree in Computer Science or a related technical field or equivalent practical experience.
• 5 years of experience in program management.

Preferred qualifications:

• 8 years of program management experience, delivering end-to-end projects closely with research and engineering teams.
• Familiarity with the LLM post-training lifecycle, including training data pipelines, SFT, RL, and model evaluation.
• Proven skill navigating ambiguity and adapting strategies as research and project conditions change.
• Strong communication and stakeholder management skills to influence outcomes and align technical and product teams.

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.

Artificial Intelligence could be one of humanity's most transformative inventions. We are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate product innovation. Our team is experienced in building large language models end-to-end, with a distinct emphasis on post-training, evaluation, supervised fine-tuning, reinforcement learning, and inference-time self-improvement.

In this role, you will apply program management methodologies across multiple post-training data, evaluation, and modeling initiatives, balancing rapid progress and risk to deliver sustainable improvements across Gemini releases. You will partner with researchers, engineers, product managers, and cross-functional stakeholders to define project scope, goals, timelines, and resource requirements turning research priorities into high-quality training data, evaluations, and deliverable model milestones.

Artificial intelligence will be one of humanity's most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

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.

Artificial Intelligence could be one of humanity's most transformative inventions. We are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate product innovation. Our team is experienced in building large language models end-to-end, with a distinct emphasis on post-training, evaluation, supervised fine-tuning, reinforcement learning, and inference-time self-improvement.

In this role, you will apply program management methodologies across multiple post-training data, evaluation, and modeling initiatives, balancing rapid progress and risk to deliver sustainable improvements across Gemini releases. You will partner with researchers, engineers, product managers, and cross-functional stakeholders to define project scope, goals, timelines, and resource requirements turning research priorities into high-quality training data, evaluations, and deliverable model milestones.

Artificial intelligence will be one of humanity's most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google .

• Organize and optimize post-training initiatives (Supervised Fine-Tuning (SFT), Reinforcement Learning (RL), data, and evaluations) into clear goals, milestones, and release plans with research and engineering teams.
• Manage end-to-end project planning and cross-functional dependencies across data pipelines, evaluation platforms, compute, and external partners to align with Gemini model releases.
• Track progress, maintain program documentation, and proactively resolve technical and operational blockers across data and model development workflows.
• Evaluate technical proposals, understanding trade-offs, and translate complex modeling progress into clear, decision-ready updates for leadership and cross-functional audiences.
• Apply lightweight program methodologies to improve velocity and predictability while fostering a deep understanding of post-training, LLMs, and AGI research.

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 also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

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.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.