About the role

What will you do at Google?

MINIMUM QUALIFICATIONS:

* Bachelor's degree or equivalent practical experience.

* 8 years of experience in product management or a related technical role.

* 3 years of experience taking technical products from conception to launch

(e.g., ideation to execution, end-to-end, 0 to 1, etc.).

PREFERRED QUALIFICATIONS:

* Ability to act as a bridge across teams inside and outside of a team to align

priorities and drive action.

* Ability to interpret model evaluations, identify regressions, and understand

performance changes beyond tracking dashboards.

* Ability to engage in substantive training discussions regarding data quality

and trade-offs with researchers.

* Ability to grow in changing, ambiguous environments with rapidly shifting

priorities and roadmaps.

* Ability to judge outputs to spot subtle capability, formatting, or tonal

issues.

ABOUT THE JOB:

At Google, we put our users first. The world is always changing, so we need

Product Managers who are continuously adapting and excited to work on products

that affect millions of people every day.

In this role, you will

work cross-functionally to guide products from conception
to launch by connecting the technical and business worlds. You can break down
complex problems into steps that drive product development.
One of the many reasons Google consistently brings innovative, world-changing
products to market is because of the collaborative work we do in Product
Management. Our team works closely with creative engineers, designers,
marketers, etc. to help design and develop technologies that improve access to
the world's information. We're responsible for guiding products throughout the
execution cycle, focusing specifically on analyzing, positioning, packaging,
promoting, and tailoring our solutions to our users.
As a Senior Product Manager, you will be embedded directly in the research and
model training process for Gemini models. You will be in the room during
training — reading evaluations, analyzing model outputs, and making judgment
calls on quality alongside researchers.
You will be responsible for bringing the mindset of the end user into the
training process developing a sense of what users and customers actually need
from Gemini, and translating that into the priorities, evaluations, and feedback
loops that guide model development. You will need to operate at the intersection
of product intuition and technical depth, and be comfortable forming a point of
view on model quality, grounding it in real user needs, and advocating for it in
a fast-moving, research-driven environment.
Artificial intelligence will be one of humanity’s most transformative
inventions. At Google 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
learning opportunities and varied career pathways for those driven to achieve
exceptional results through collective effort.
Individual pay is determined by factors including job-related skills,
experience, and relevant education or training.
US: $256000 - $278000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google
[https://www.google.com/about/careers/applications/benefits/].
RESPONSIBILITIES:
* Define key capabilities and translate them into measurable evaluation goals
for each model release cycle.
* Curate and evolve the post-training evaluation suite to accurately gauge
model quality, readiness, and performance.
* Anticipate measurement needs 2–3 release cycles ahead, partnering with teams
to develop evaluations for emerging capabilities.
* Collaborate closely with researchers and training leads to analyze
checkpoints, interpret results, and guide daily training runs.
* Investigate and resolve high-impact issues, such as output regressions and
behavioral artifacts, by rallying cross-functional teams to implement fixes.

Which skills does this role require?

Product ManagementTechnical Product DevelopmentModel EvaluationCross-functional CollaborationArtificial IntelligenceMachine LearningProduct StrategyRoadmap PlanningUser ResearchPerformance AnalysisTechnical LeadershipStakeholder ManagementProduct Lifecycle ManagementGeminiDeepMindModel TrainingProduct LifecycleCross-functionalEvaluation MetricsTechnical ProductResearchUser NeedsPerformance RegressionRoadmapModel Quality

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