About The Position

Technical Program Manager (TPM) on Google DeepMind's Gemini App (fka Bard) team. The team is described as a high-velocity, "startup mindset" environment working on a top Google priority in conversational AI. Seeking a candidate with 8+ years of experience, a technical background in ML/LLMs/MLOps, and a proven track record of launching consumer-facing features in a fast-paced, high-ambiguity setting. 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. As a TPM for the Gemini App (fka Bard) team, you will be at the forefront of conversational AI. We operate in a high-velocity environment, using advanced language models to build new features and deliver exceptional user experiences. In this role, you will drive the development and integration of innovative tools that expand Gemini's capabilities. You will lead initiatives to train our models to effectively utilize these extensions, optimizing their ability to call APIs and deliver high-quality, contextually relevant responses. This role is pivotal in shaping the user experience and requires deep collaboration with engineering to ensure seamless integration, rigorous testing, and continuous refinement of the model's learning process. Success will require working across the entire Gemini stack (Frontend, Serving, Safety, Mobile, Extensions, etc.) and partnering with teams across Google, including Gen AI, Trust & Safety, and Responsible AI. We are looking for candidates with a strong technical background, a proven ability to deliver complex projects, and a deep understanding of LLM behavior (or a clear passion for growing in this space). As a TPM for the Gemini App team, you'll lead the development and integration of apps and agents that enhance Gemini's conversational AI capabilities. Your focus will be on training and release of models to effectively use these capabilities, collaborating closely with engineering leads and cross-functional teams (Product, UX, Legal, Marketing, etc.) to deliver full feature sets. We're looking for someone who is: Action-oriented and driven to work on a top Google priority. Excited by a startup mindset, fast-paced environment, and an entrepreneurial drive. Passionate about the intersection of applied machine learning, infrastructure, and language problems. Able to thrive in ambiguity and complex cross-team/cross-site collaborations. Ready to advance Google’s generative AI capabilities and be at the forefront of Large Language Models.

Requirements

  • Bachelor’s degree in Computer Science or a related field, or equivalent practical experience
  • 8+ years of experience leading cross-functional programs
  • Experience working with Machine Learning and Large Language Models and/or ML Ops
  • Experience working in a startup environment
  • Demonstrated experience launching features to consumers through frontend software development or backend platform development
  • Proven track record of collaborating with and influencing stakeholders across various functions and sites, especially in situations with little authority and considerable ambiguity

Responsibilities

  • Spearhead critical Gemini feature launches, driving progress from conception to delivery.
  • Forge close partnerships with PM and Engineering leads to define product strategy and ensure precise execution.
  • Navigate and resolve complex dependencies across diverse workstreams, functions, and organizations.
  • Guide engineering teams in identifying, prioritizing, and tracking tasks to meet key deadlines.
  • Proactively identify and mitigate risks, implementing solutions to keep projects on velocity.
  • Deliver clear, consistent updates on progress, risks, and plans to senior leadership.
  • Excel at managing multiple, time-sensitive projects concurrently.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Number of Employees

1,001-5,000 employees

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