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Google
Google

Organizing the world's information and making it universally accessible.

Staff AI/ML Technical Solution Consultant

RoleMachine Learning
LevelStaff
WorkOn-site
TypeFull-time
Posted1 month ago
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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 customer's 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 customer's 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.

Minimum qualifications

  • Bachelor's 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

  • Master's 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.

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About Google

Google

Google

Public

Google specializes in internet-related services and products, including search, advertising, and software.

10,001+

Employees

Mountain View

Headquarters

$1,700B

Valuation

Reviews

10 reviews

4.5

10 reviews

Work-life balance

3.2

Compensation

4.3

Culture

4.1

Career

4.2

Management

3.8

82%

Recommend to a friend

Pros

Great benefits and perks

Innovative and interesting work

Career development and learning opportunities

Cons

High pressure and expectations

Long hours and heavy workload

Fast-paced and overwhelming environment

Salary Ranges

57,503 data points

Junior/L3

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

L3

L4

L5

Junior/L3 · Data Scientist L3

0 reports

$176,704

total per year

Base

-

Stock

-

Bonus

-

$150,298

$203,110

Interview experience

9 interviews

Difficulty

3.4

/ 5

Duration

14-28 weeks

Offer rate

44%

Experience

Positive 0%

Neutral 56%

Negative 44%

Interview process

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

Common questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense