Google Inc.
Senior Datacloud Blackbelt Manager, Data and AI
Google Inc., Sunnyvale, California, United States, 94087
Senior Datacloud Blackbelt Manager, Data and AI
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Google Sunnyvale, CA, USA
Advanced Experience owning outcomes and decision‑making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
Apply
Bachelor’s degree or equivalent practical experience.
10 years of experience in software engineering, systems architecture, or technical consulting.
3 years of people management experience in technical roles.
2 years of experience with generative AI techniques (e.g., LLMs, multi‑modal, large vision models) or with generative AI‑related concepts (language modeling, computer vision).
Preferred qualifications:
6 years of experience designing and deploying cloud‑native distributed systems, data pipelines, or AI/ML workflows in an enterprise environment.
5 years of experience managing a technical team in a cloud computing environment or customer‑facing role.
Experience interacting with C‑level executives (e.g., CTO, CDO, CIO) to translate business requirements into technical strategies.
About the job We are a specialized product incubation engine dedicated to accelerating product market fit for our unified data cloud and AI capabilities. Tasked with bridging the gap between our powerful platform primitives and the cohesive, high‑value solutions enterprises demand, this group operates as a customer‑zero laboratory. In this role, you will lead our new team at the forefront of using برید‘s generative AI to solve real‑world issues for our most customers. You will act as a partner with key accounts, working to build, deploy, and optimize sophisticated AI agents on our data cloud services. You will bridge the gap between our core product engineering teams and complex customer needs. You will accelerate product innovation, customer success, disrupt the traditional Software Development Life Cycle (SDLC), and shape the future of our data and AI products. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise‑grade solutions that leverage Google’s cutting‑edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full‑time position is $227,000–$320,000 + bonus + equity + benefits. 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 Müd 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
Serve as the principal architect for the FDElene team's portfolio. Set the engineering standards, selection of primitives (e.g., agentic frameworks, etc.), and architectural patterns used across lighthouse engagements.
Act as the primary technical counterpart to customer CTOs and CDOs. Lead architectural workshops to secure executive buy‑in, aligning their long‑term technology strategy with Google’s data and AI roadmap.
Provide technical leadership and mentorship to the team of FDE. Guide the team in delivering scalable and secure solutions.
Identify and resolve cross‑product integration issues that threaten the data and AI story. Lead the resolution of ambiguous technical blockers that span multiple product areas.
Drive systemic improvements in Google Cloud’s product portfolio. Synthesize technical friction points and feature gaps into authoritative engineering requirements, influencing the roadmaps of directors and VPs in BigQuery, rect AI, and database engineering.
Google is proud to be an equal‑opportunity and affirmative‑action employer. We are committed to building a workforce HOR representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity or expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law.
See Google’s EEO policy ,
Know Your Rights: Workplace Discrimination-developed ,
Operation at Google , and
How we hire .
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
#J-18808-Ljbffr
Copy link
Google Sunnyvale, CA, USA
Advanced Experience owning outcomes and decision‑making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
Apply
Bachelor’s degree or equivalent practical experience.
10 years of experience in software engineering, systems architecture, or technical consulting.
3 years of people management experience in technical roles.
2 years of experience with generative AI techniques (e.g., LLMs, multi‑modal, large vision models) or with generative AI‑related concepts (language modeling, computer vision).
Preferred qualifications:
6 years of experience designing and deploying cloud‑native distributed systems, data pipelines, or AI/ML workflows in an enterprise environment.
5 years of experience managing a technical team in a cloud computing environment or customer‑facing role.
Experience interacting with C‑level executives (e.g., CTO, CDO, CIO) to translate business requirements into technical strategies.
About the job We are a specialized product incubation engine dedicated to accelerating product market fit for our unified data cloud and AI capabilities. Tasked with bridging the gap between our powerful platform primitives and the cohesive, high‑value solutions enterprises demand, this group operates as a customer‑zero laboratory. In this role, you will lead our new team at the forefront of using برید‘s generative AI to solve real‑world issues for our most customers. You will act as a partner with key accounts, working to build, deploy, and optimize sophisticated AI agents on our data cloud services. You will bridge the gap between our core product engineering teams and complex customer needs. You will accelerate product innovation, customer success, disrupt the traditional Software Development Life Cycle (SDLC), and shape the future of our data and AI products. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise‑grade solutions that leverage Google’s cutting‑edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full‑time position is $227,000–$320,000 + bonus + equity + benefits. 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 Müd 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
Serve as the principal architect for the FDElene team's portfolio. Set the engineering standards, selection of primitives (e.g., agentic frameworks, etc.), and architectural patterns used across lighthouse engagements.
Act as the primary technical counterpart to customer CTOs and CDOs. Lead architectural workshops to secure executive buy‑in, aligning their long‑term technology strategy with Google’s data and AI roadmap.
Provide technical leadership and mentorship to the team of FDE. Guide the team in delivering scalable and secure solutions.
Identify and resolve cross‑product integration issues that threaten the data and AI story. Lead the resolution of ambiguous technical blockers that span multiple product areas.
Drive systemic improvements in Google Cloud’s product portfolio. Synthesize technical friction points and feature gaps into authoritative engineering requirements, influencing the roadmaps of directors and VPs in BigQuery, rect AI, and database engineering.
Google is proud to be an equal‑opportunity and affirmative‑action employer. We are committed to building a workforce HOR representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity or expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law.
See Google’s EEO policy ,
Know Your Rights: Workplace Discrimination-developed ,
Operation at Google , and
How we hire .
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
#J-18808-Ljbffr