
Organizing the world's information and making it universally accessible.
Staff AI/ML Technical Solution Consultant
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.
전체 조회수
0
전체 지원 클릭
0
전체 Mock Apply
0
전체 스크랩
0
비슷한 채용공고

Senior Engineer, Autonomy ML Systems
Motional · Boston, Massachusetts, United States

SENIOR MLM L3
Wipro · Hyderabad, India

Senior Manager - AI Architecture - Knowledge AI
EY

Senior/Staff Machine Learning Engineer - Offline Driving Intelligence
Zoox · Foster City, CA

Senior Machine Learning Engineer
Adobe · San Jose
Google 소개

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
직원 수
Mountain View
본사 위치
$1,700B
기업 가치
리뷰
10개 리뷰
4.5
10개 리뷰
워라밸
3.2
보상
4.3
문화
4.1
커리어
4.2
경영진
3.8
82%
지인 추천률
장점
Great benefits and perks
Innovative and interesting work
Career development and learning opportunities
단점
High pressure and expectations
Long hours and heavy workload
Fast-paced and overwhelming environment
연봉 정보
57,503개 데이터
Junior/L3
L6
L7
L8
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
L3
L4
L5
Junior/L3 · Data Scientist L3
0개 리포트
$176,704
총 연봉
기본급
-
주식
-
보너스
-
$150,298
$203,110
면접 후기
후기 9개
난이도
3.4
/ 5
소요 기간
14-28주
합격률
44%
경험
긍정 0%
보통 56%
부정 44%
면접 과정
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
최근 소식
Our eighth generation TPUs: two chips for the agentic era - blog.google
blog.google
News
·
1w ago
Google Maps on Android Auto now shows bigger labels on streets along your route [Gallery] - 9to5Google
9to5Google
News
·
1w ago
Google to invest up to $40 billion in AI rival Anthropic - Reuters
Reuters
News
·
1w ago
Google to invest up to $40B in Anthropic in cash and compute - TechCrunch
TechCrunch
News
·
1w ago