Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers.
Using your extensive technical and leadership expertise, you manage projects of various size and scope, identifying future opportunities, improving processes and driving the technical directions of your programs.
We are looking for someone who join our compute team in GenAI this is to primarily help coordinate the GenAI serving process, while also supporting the compute needs for Gemini training with the rest of our team. On the serving side, you will work directly with teams on their requests and also improve/automating these workflows for the future. Your technical infrastructure expertise, a can-do mindset, and strong skills to resolve bottlenecks and align cross-functional teams on high-priority milestones.
The Gemini compute team strategizes and manages the computational power that enables our research engineering teams to develop our frontier models, then put them in the hands of Google's users globally.
Artificial intelligence will be one of humanity's most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
The US base salary range for this full-time position is $184,000-$198,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Grasp of the infrastructure stack to debug hardware and software issues, adjust technical configurations, and advise teams on how to best govern their compute allocations.
- Request and coordinating launches, guiding and managing expectations with teams through the milestones required to receive approvals.
- Use data sources are discovered, write extensive documentation to help scale impact across teams long-term and help create a single source of truth.
- Identify bottlenecks in the launch workflow and assist in developing internal tooling (e.g., dashboards, scripts, agents) to streamline work.
- Use data, logic, and concise communication to bring clarity to complex discussions with cross-functional teams.
Qualifications
Minimum qualifications:
- Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, Statistics, a related technical field or equivalent practical experience.
- 2 years of experience in technical program or project management in a software engineering or cloud environment.
- Experience with Sheets, Looker, SQL, and Python for data extraction, modeling, visualization, and automation.
Preferred qualifications:
- Experience in technical program management in AI or data-centric projects.
- Track record in technical roles with product management and engineering.
- Knowledge of market trends, products, and solutions (including foundational technical understanding) of Cloud, AI, and data solutions.
- Ability to work cross-functionally with multiple teams and stakeholders.
- Excellent relationship building, collaboration and negotiation skills.
- Excellent communication, project management and problem-solving skills.