Product Manager Gemini Horizontal Post-training
Product Manager Gemini Horizontal Post-training
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$ 168000 - 266000
1 Vacancy
Job Description
Product Manager Gemini Horizontal Posttraining
Mountain View CA
Snapshot
We are seeking a highly motivated and experienced Product Manager to lead horizontal data modeling and integration efforts across Gemini posttraining. You will work with the Posttraining team as well as Product Areas to plan build and ship stateoftheart generalpurpose models to products across Google and the thirdparty ecosystem. This is a rare opportunity to shape the development of the Gemini model series alongside worldclass research scientists and engineers.
About us
Artificial Intelligence could be one of humanitys most useful inventions. At Google DeepMind were a team of scientists engineers product managers 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
As Product Lead for Horizontal Posttraining you will be accountable for the successful development and delivery of stateoftheart generalpurpose models to products across Google and the thirdparty ecosystem. You will work at the intersection of model development and realworld use bringing user needs and research objectives into a single actionable roadmap. This role requires a deep understanding of data / modeling / eval the ability to think systematically about how to drive quality improvements and a knack for bridging different efforts and teams.
Key responsibilities
- Define the strategic vision and roadmap for horizontal posttraining efforts in collaboration with Research and T/PgM. Drive the tactical plan for model revisions as well as strategic initiatives that improve both model quality and the overall velocity and effectiveness of the team.
- Drive the product strategy for the composition of multiple capabilities within a single generalpurpose model. Work with Research and DSE to develop approaches to implementing and measuring / testing how well various features and capabilities compose.
- Optimize the posttraining data flywheel. Develop a deep understanding of the posttraining data mixture and work with Research to develop tooling and best practices for collecting synthesizing and cleaning data. Be a champion for horizontal data quality.
- Serve as a bridge between Posttraining and Product Areas. Help capture requirements and loss patterns from teams who are leveraging posttrained models.
- Work with Research to land major horizontalchanges and research bets. Continuously identify opportunities to improve model quality across capabilities.
- Flex to other strategic initiatives in the Posttraining space as needed.
About you
To set you up for success as a Product Manager at Google DeepMind we look for the following
Core skills
- Bachelors degree or equivalent practical experience.
- 5 years of experience in product management or a related technical role.
- Ability to thrive in ambiguity and shape your own path. You are comfortable navigating uncharted territory taking initiative and defining a clear path forward in a dynamic environment
- Strong stakeholder management skills. You recognize the importance of collaboration and possess the ability to foster a culture of shared ownership and success across multiple teams.
- Exceptional collaboration. You excel at bringing people together driving consensus and effectively communicating with diverse teams of engineers researchers and stakeholders across PAs
- Strong interest and technical fluency in machine learning systems. You keep up with the latest LLM research and can confidently engage in indepth technical discussions with researchers
- Proven experience as a technical PM or similar role. You have successfully managed the lifecycle of a machine learning product or platform from ideation to launch
Preferred skills
- Experience with qualitye.g. ranking modeling evaluation
- Excellent written and verbal communication skills including prompting
- Background in AI/ML CS Statistics or a related field
Additional information
The US base salary range for this fulltime position is between $168000 $266000 bonus equity benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
Application deadline: 12pm PST Monday Mar 24 2025
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.
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.
Required Experience:
IC
Employment Type
Full Time
