Data Product Lead, YouTube
Company: Google
Location: New York City
Posted on: April 1, 2026
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Job Description:
info_outline X Note: By applying to this position you will have
an opportunity to share your preferred working location from the
following: New York, NY, USA; San Bruno, CA, USA; Mountain View,
CA, USA . Minimum qualifications: Bachelor’s degree or equivalent
practical experience. 7 years of experience with data analysis and
SQL/MySQL. 7 years of experience in technical troubleshooting, and
managing internal/external partners or customers. 7 years of
experience in system design or code comprehension in one
programming language (e.g., Java, C++, Python, etc.). Preferred
qualifications: Master’s degree in Business, Statistics,
Mathematics, Economics, Engineering, Applied Science, a related
field or equivalent practical experience. Experience with
delivering data products at enterprises. Ability to navigate
ambiguity in a changing environment with multiple stakeholders.
Ability to think critically and investigate, breaking down issues
into manageable components. Excellent business and technical
communication, organizational, and problem-solving skills. About
the job The YouTube GTM team is responsible for driving all
go-to-market functions for the YouTube Business organization
including strategy and business operations, analytics and data
science, partnership enablement, and product activation. This team
combines operational and problem-solving skills with a pragmatic
sense of how to get things done and drive change across a global
organization. As a Data Product Manager, you are responsible for
shaping go-to-market priorities to accelerate growth and resource
the business accordingly, enhancing skills and capabilities to
support execution of business priorities. You will drive efficiency
across business operations and building excellent go-to-market
infrastructure (e.g. data, reports, dashboards and Generative
Artificial Intelligence (AI) solutions). At YouTube, we believe
that everyone deserves to have a voice, and that the world is a
better place when we listen, share, and build community through our
stories. We work together to give everyone the power to share their
story, explore what they love, and connect with one another in the
process. Working at the intersection of cutting-edge technology and
boundless creativity, we move at the speed of culture with a shared
goal to show people the world. We explore new ideas, solve real
problems, and have fun — and we do it all together. The US base
salary range for this full-time position is $183,000-$265,000 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 Lead and manage
Go-to-Market (GTM) products supporting the YouTube Business teams.
Utilize core technical role-related knowledge, relevant Google-wide
technologies and processes, and translate business needs into
technical solutions. Conduct requirements gathering and project
scoping sessions with subject matter experts, business users, and
executive stakeholders to discover and define business data needs.
Design, build, and optimize the data architecture and extract,
transform, and load (e.g., Extract, Transform, and Load (ETL))
pipelines to make them accessible for business data analysts, data
scientists, and business users to enable data-motivated
decision-making. Write and review end-user and technical documents,
including requirements and design documents for existing and future
data systems, as well as data standards and policies.
Keywords: Google, Fairfield , Data Product Lead, YouTube, IT / Software / Systems , New York City, Connecticut