Gemini Technical Program Manager, Post-Training

Snapshot

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

About Us

Sitting within the GenAI programs, this role is part of the post-training programs team. The Post-Training and Alignment Program Management team enables the teams to make fast-paced progress towards our mission, and leads operational design and execution across the post-training area. Collaborating closely with researchers and product teams, we focus on delivering harmless, helpful and honest Gemini models.

About You

As a Technical Program Manager for Post-Training, you will:

• Scope and drive complex and ambitious programs cutting across multiple teams, manage simultaneous projects balancing between short-term deliveries and setting programs up for long-term success.
• Navigate through ambiguity for complex, rapidly changing projects; adjust and adapt plans and strategies as project conditions change.
• Bring together diverse teams and members for fast-paced execution and deliveries.

• Be the trusted owner of the status of your projects. Clearly identify dependencies/risks/issues, and drive progress and visibility.
• Build strong relationships with key stakeholders and influence action and outcomes without direct authority, ensuring alignment among the stakeholders.
• Have the ability to rapidly grasp technical concepts, contribute to relevant discussions, and translate them into actionable program strategies.
• Be highly organized, self-motivated, and drive process improvements and efficiencies, streamlining processes, simplify execution, and bring tooling efficiencies if applicable.

• Have excellent written and verbal communication skills, with the ability to clearly articulate technical concepts to various audiences and levels including executive management.

 

The following would be a plus:

• BS degree in Computer Science, Engineering, or related technical field
• 8+ years of leading large-scale engineering projects, preferably across multiple geographies and time zones.
• Demonstrated success in fast-paced program execution and deliveries.
• Good understanding of safety, factuality, instruction following and other alignment related topics in ML
• Strong understanding of ML/AI principles and their distinctions from traditional software development.

 

The US base salary range for this full-time position is between $183,000 – $271,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Application deadline: 27th June 2025, 12pm Pacific Time

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy

 

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.