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.).

* Experience with advanced driver-assistance systems or autonomous driving

features.

* Experience integrating generative AI tools or LLM interfaces into workflows.

PREFERRED QUALIFICATIONS:

* Master’s or PhD degree in a technical field (e.g., GIS, Geomatics, Computer

Science, Spatial Engineering).

* Deep domain expertise in ADAS/AD features and how these are supported by map

data systems and standards (e.g., electronic horizon, ADASIS, NDS, HD maps,

sensor fusion).

* Experience launching ADAS features into series production, ideally with

global OEM customers.

* Technical background in map compilation, geospatial databases, and data

quality validation methodologies for the automotive/ADAS domain.

* Proven ability to influence without authority in a highly matrixed,

multi-site environment.

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.
The Geo Auto Data Platform team is responsible for building the data foundation
and platforms that power Google’s in-vehicle automotive offerings. Our platform
supports: enhanced, deeply integrated in-vehicle turn-by-turn navigation and
next-gen visualizations powered by lane-level positioning. Map data services
supporting advanced driver-assistance systems (ADAS) and autonomous driving (AD)
to make roads safer, drives more comfortable, and lower carbon emissions and
autonomous driving (L2++ and beyond) capabilities.

In this role, you will

have deep expertise with AD/ADAS features and with how
map data supports such features. You will be ensuring our software, tooling, map
data, and supporting services meet the rigorous safety, freshness, and accuracy
standards required by AD/ADAS features.
The Geo team is focused on building the most accurate, comprehensive, and useful
maps for our users, through products like Maps, Earth, Street View, Google Maps
Platform, and more. Every month, more than a billion people rely on Maps
services to explore the world and navigate their daily lives.
The Geo team also enables developers to use the power of Google Maps platforms
to enhance their apps and websites. As they plot a course for the future of
mapping, they are solving complex computer science problems, designing beautiful
and intuitive product experiences, and improving our understanding of the real
world.
Individual pay is determined by factors including job-related skills,
experience, and relevant education or training.
US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google
[https://www.google.com/about/careers/applications/benefits/].
RESPONSIBILITIES:
* Manage and evolve the relationship with our upstream internal map data
partners. This involves driving, reviewing, and approving ADAS-specific map
attribute schemas and documenting, establishing and enforcing
cross-functional governance to prevent fragmentation across divergent
(non-ADAS) use cases.
* Define, monitor, and defend data quality (accuracy and freshness) service
level agreements (SLAs). Partner with engineering to prioritize automated
validation loops.
* Translate downstream ADAS/AD feature mechanics to baseline software and data
quality requirements; educate and advocate use cases with upstream data
teams.
* Manage the ADAS country tiering model. Prioritize, negotiate, and drive the
expansion of key ADAS attributes into new regions and deeper road categories
across internal teams.
* Maintain open communication channels with original equipment manufacturer
(OEM) partners to ensure our core roadmaps remain user- and partner-focused.

Which skills does this role require?

Product ManagementAutonomous DrivingGenerative AILLMData Quality ValidationCross-functional LeadershipSLA ManagementTechnical Product LaunchStakeholder ManagementStrategic PlanningData GovernanceOEM RelationsProduct ManagerGeo Auto Data PlatformComputer ScienceData QualitySLAGoogle MapsGoogle EarthStreet ViewGoogle Maps PlatformCross-functionalProduct LifecycleRoadmapTurn-by-turn NavigationLane-level PositioningLLMsProduct Strategy

Make your next move

Build a shortlist and prepare

Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.

Build a focused shortlist before you applyCompare role requirements with your experience and give each application a clear reason.
Practice explaining your experience in an interviewRehearse your answers before meeting the hiring team.

Review the responsibilities and requirements before adding an opening to your shortlist.