Locations: Mountain View or New York


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 opportunities 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.

Snapshot

The role of the Program Management Team is to shape and accelerate the delivery of GDM’s highest priorities. We do this through translating strategy into program plans, implementing efficient ways of working, and developing successful teams to drive end to end delivery of our GDM objectives. We provide focus for our teams through co-developing goals and priorities, continually anchoring teams back to these. We continually pursue sustainable ways to optimize our work, striving to ensure we cultivate an environment where people can be both highly collaborative and deeply creative, making responsible and groundbreaking technical progress at pace. We build positive relationships with teams, bringing clarity to ambiguity and providing stability during change. Collaborating across org boundaries & roles to pull in the right expertise at the right time. This allows us to provide a holistic view of what’s happening across GDM to identify early signals, insights, and risks with recommended actions. 

In addition, our program management expertise structures complex projects, and we continuously deepen our technical knowledge, working alongside researchers and engineers to ensure all our work is advancing towards our mission!

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

Understanding the capabilities, strengths and weaknesses of our AI models is essential for our work in Generative AI. This is a Technical Program Management role, leading on evaluations in this space. This is a role that spans across functions and has a diverse set of stakeholders ranging from Data, Legal, Model Development, Safety, product teams across Google.

This role will partner with tech leads to develop and measure against custom evals as well as external benchmarks, continually setting goals that improve our understanding of the quality of our models across multiple dimensions. You will manage and develop a small team of (Technical) Program Managers working in this space.

This role will work collaboratively with a team of (Technical) Program Managers working across GDM’s Generative AI projects.

Key responsibilities:

Eval Design and Development

  • Drive and deliver the establishment and continuous improvements against GDM’s evaluations in the GenAI space.
  • Partner with peers (in Product Management, Engineering, Research) to develop a vision and roadmap, communicating to stakeholders so they can plan accordingly. This will involve traveling to different GDM sites to collaborate with leaders.
  • Possess deep technical understanding of the Evaluations space and demonstrate continuous learning by staying abreast of the latest advances.
  • Execute at pace against the agreed roadmap using many TPM tools to achieve this goal.
  • Communicate the status and results of this work to key stakeholders.

Eval execution velocity

  • Work across infrastructure teams and partnering teams to deliver the evaluation flywheel for both human and autorater/benchmarks.
  • Drive progress using hands on technical skills.

Eval Discoverability via Tooling

  • Drive evaluation discoverability tooling in the form of leaderboard and evaluation scorecards.
  • Ensure these three stages are kept aligned to build a cohesive solution.

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:

  • Technical degree or advanced working knowledge. Industry experience to partner on technical strategy and platform development.
  • Extensive knowledge and expertise in technical program management with the proven skill to navigate through ambiguity and adjust and adapt plans and strategies as project conditions change.
  • Ability to quickly learn new technical domains, gaining sufficient working knowledge to understand the challenges and risk while balancing perspective and holding a broader view of trade offs and opportunities.
  • Experience partnering with teams in fast-paced environments to drive large-scale program delivery from concept to completion, leading through multiple evolutions along the way.
  • Demonstrated ability to prioritize, adapt to change, and provide flexible thought partnership in a rapidly evolving landscape. Openness to each month looking different to the last.
  • People management experience, supporting the development of pioneering professionals and capable leaders.
  • Experience in partnering with senior engineering leadership and bringing straightforward solutions to complex spaces, both interpersonal and technical.
  • Strong communication skills, ability to develop meaningful relationships with key partners and use this to influence action and outcomes.
  • Experience balancing reactive and proactive thinking and designing and delivering against multi-year team visions.
  • Desire to continue hands on delivery contributing to the most critical technical challenges.
  • You are demonstrably passionate about advancing AI.

The US base salary range for this full-time position is between $214,000 - $318,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Application deadline: May 3, 2024 at 9:00am PDT

 

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