Google Customer Engineering Manager, Data, Startups, Google Cloud

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Job Details

Posted date: Feb 20, 2026

Location: Seattle, WA

Level: Director

Estimated salary: $223,500
Range: $186,000 - $261,000


Description

Lead a team of Practice Customer Engineers, focusing on team culture, talent strategy, and skills development to deliver cloud transformations for customers and accelerate value realization. Foster customer partnership and provide thought leadership related to cloud, transformation, and specialized technical solutions in the Practice to drive technical wins. Partner with Sales to define technical go-to-market strategies and delivery plans, focusing on advanced workload adoption and repeatable solution development. Balance technical leadership with operational excellence, lead workload and opportunity review meetings and provide insight into how to achieve technical wins and migration strategy, working directly with customers, partners, and prospects. Oversee domain-specific prototyping and proofs-of-concept. Work cross-functionally across Google, partners, and your team to resolve technical roadblocks, and provide critical feedback loops to Product and Engineering based on field experience.

As a Practice Customer Engineering (CE) Manager, you lead and deploy a team of subject-matter-experts responsible for working alongside our customers to provide trusted technical and solution advice to accelerate workload migration and remove technical blockers. You will foster a culture of technical excellence and understand the mechanics of architecture, delivery, and consumption within the specialized domain and Google Cloud’s products and solutions.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 $186,000-$261,000 + 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.

Qualifications

Minimum qualifications: Bachelor's degree or equivalent practical experience. 10 years of experience with cloud native architecture in a customer-facing or support role. Experience in leadership (e.g., people management, team lead, mentorship, coaching). Experience with Data Analytics technologies or concepts. Experience driving the adoption of specialized workloads with executive or technical domain experts. Experience with technical conversations, demos, prototyping, or workshops with customers.

Preferred qualifications: Experience leading in Data Analytics and practice areas, focused on technical sales and develping around holistic customer and industry solutions. Experience influencing cross-functional teams (e.g., Product Management, Engineering, Sales, Marketing, Partner), customers, and partners to impact business goals, customer experience, and customer expansion. Experience as a pre-sales manager or technical customer-facing people manager within a professional services or sales engineering team. Experience tailoring and delivering enaged messages by audience, asking questions, and leading conversations that accelerate value realization and business opportunity.

Extended Qualifications

Bachelor's degree or equivalent practical experience. 10 years of experience with cloud native architecture in a customer-facing or support role. Experience in leadership (e.g., people management, team lead, mentorship, coaching). Experience with Data Analytics technologies or concepts. Experience driving the adoption of specialized workloads with executive or technical domain experts. Experience with technical conversations, demos, prototyping, or workshops with customers.

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