Technical Program Manager: GeminiApp Automation at DeepMind

Mountain View, California, United States -

Full Time

Start Date

Immediate

Expiry Date

02 Feb, 26

Salary

271000.0

Posted On

04 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Technical Program Management, Machine Learning, Large Language Models, MLOps, Cross-Functional Collaboration, Project Management, Risk Mitigation, Feature Launch, Product Strategy, Agile Methodologies, Frontend Development, Backend Development, Stakeholder Management, Entrepreneurial Mindset, API Integration, User Experience

Industry

Research Services

Description

Snapshot 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). The role 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. Key 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. 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: 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 The US base salary range for this full-time position is between $183,000 USD - 271,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Application deadline: 12pm PT Thursday 20th November 2025 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 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.

Responsibilities

Lead the development and integration of apps and agents that enhance Gemini's conversational AI capabilities. Collaborate closely with engineering leads and cross-functional teams to deliver full feature sets.