Technical Program Manager, Evals; Mountain View

Artificial Intelligence could be one of humanity’s most useful inventions. At Google Deep Mind, 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.

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.

• 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.

• 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.

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

In order to set you up for success as a Technical Program Manager at Google Deep Mind, 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.

Final date to receive applications:
May 3, 2024 at 9:00am PDT