Technical Program Manager, Post Training

Job description

Snapshot

Join our team and dive into model post-training, with a special focus on Gemini Tool Use and Agents, one of the most exciting and rapidly evolving areas in AI development.

In this multifaceted role, you'll drive impact across the entire lifecycle, from defining data quality and standards for tool integration, to developing and evaluating individual tools, and optimizing organizational workstreams.

Your crucial work will involve close collaboration with product and operations teams to ensure high-quality tool use integration and performance.
About Us

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.
The role

Sitting within the GenAI programs, this role is part of the post-training programs team.

We enable our research and product teams to make rapid progress towards our mission, leading operational design and execution across the post-training area, with a focus on delivering the best-in-class models and cutting edge research innovations.



Key responsibilities


+ Strategize and Drive Programs: Scope and drive complex, ambitious programs that span multiple teams, manage simultaneous projects balancing immediate deliveries with long-term strategic success.



+ Navigate Ambiguity: Thrive in rapidly evolving, ambiguous project environments, adeptly adjusting plans and strategies as project conditions change.



+ Orchestrate Execution: Unite diverse teams for fast-paced execution and deliveries.





+ Ensure Visibility: Be the trusted owner of project status, proactively identifying dependencies, risks, and issues, ensuring clear progress and visibility across stakeholders.



+ Build and Influence: Cultivate strong relationships with key stakeholders, influencing actions and outcomes without direct authority, ensuring alignment among the stakeholders.

+ Bridge Technical and Strategic Work: Rapidly grasp complex AI modeling concepts and translate them into actionable program strategies.



+ Drive Efficiency: Be highly organized, self-motivated, consistently drive process improvements, streamlining and simplifying execution, and identifying tooling efficiencies if applicable.



+ Communicate Effectively: Have excellent written and verbal communication skills, with the ability to articulate complex technical concepts clearly and concisely to diverse audiences including executive leadership.





Requirements


+ BS degree in Computer Science, Engineering, or related technical field

+ 8+ years of leading large-scale highly complex engineering projects, preferably across multiple geographies and time zones

+ Strong technical acumen - ability to quickly learn and deeply understand the technical aspects of the programs from interface to infrastructure, serving, and customer issues, and drive technical discussions.



+ Experience in the API / Tool Use / Agent space.



+ Excellent skills in managing complex stakeholder relationships.



About you

In order to set you up for success as a Technical Program Manager at Google DeepMind, we look for the following skills and experience:


+ Demonstrated success in fast-paced program execution and deliveries

+ Ability to interact with diverse technical and non-technical audiences, spanning all functions and organizational levels

+ Excellent organizational, analytical, prioritization, communication and influencing skills.

Ability to manage multiple concurrent complex interactions with geographically disparate teams.

+ Exceptional skills influencing, team building, and delivering solutions in a highly complex, always changing, and nebulous environment.

+ Self driven, excellent oral/written communication, interpersonal, and analytical skills.

Outstanding organizational, prioritization, and multitasking skills.


In addition, the following would be an advantage:


+ Strong understanding of ML/AI principles and their distinctions from traditional software development

+ Hands-on experience program managing AI model training

+ Have well-rounded experience including working with research as well as delivering to production usage (deployment and launches)



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:

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 (https://careers.google.com/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.

Required Skill Profession

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