Staff AI/ML Technical Solution Consultant
Company: Google
Location: Cupertino
Posted on: April 2, 2026
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Job Description:
Minimum qualifications: Bachelors degree in Engineering,
Computer Science, or related technical fields. 7 years of
experience in coding, software development, technical consulting,
or a related engineering role. 2 years of experience with building
Generative AI solutions. Experience in one or more programming
languages and AI dev tools (e.g., Python, Go, Java, C++). Preferred
qualifications: Masters degree in Computer Science or a related
technical field. 7 years of experience architecting and delivering
end-to-end solutions in a cloud environment (GCP, Cloud Computing
Platform). Experience designing and deploying cloud-native
distributed systems, developer tools, or AI/ML workflows in an
enterprise environment. About the job As a part of the Developer
and Experiences team in Google Cloud, you will empower customers to
build secure and reliable applications by providing a compelling
end-to-end experience and underlying enterprise-grade platform. As
a part of a new team acting as the "Human API" for accounts. You
will take a technical engineering position with end-to-end
ownership of the customers technical success and realized business
outcomes. You will bridge the "last mile" gap, ensuring that our AI
developer tools deliver tangible, sustained value, directly
informing our product roadmap based on real-world usage. You will
have a unique opportunity to directly enable our objectives:
fostering a growing Google developer ecosystem, creating delightful
Day Zero experiences for builders, and ensuring well-lit, secure
paths for agents and applications on Google Cloud.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 Manage the
customers entire technical journey from initial engagement through
sustained success by rapidly architecting, prototyping, and
implementing bespoke solutions to "last mile" technical gaps,
ensuring the realization of specific business outcomes. Serve as
the primary technical conduit between customer usage and the core
engineering roadmap by systematically codifying field learnings and
bespoke solutions into reusable product patterns, translating them
into high-fidelity, scalable product requirements and feature
requests for internal teams. Acquire and convert high-value
accounts into successful long-term adopters and users, measuring
success by customer outcomes, including adoption growth, usage lift
(MAU/DAU), and subsequent business generation and expansion.
Convert customers into passionate advocates by ensuring technical
and business outcomes are met while cultivating relationships,
driving Advocacy Score improvements (NPS/CSAT) and enabling
references for marketing and future customer engagements. Ensure
end-to-end technical success in customer environments, focusing on
the secure and scalable building, deployment, and operation of AI
agents and applications on Google Cloud.
Keywords: Google, Concord , Staff AI/ML Technical Solution Consultant, IT / Software / Systems , Cupertino, California
