Manager, Technical Delivery, AI/ML, Google Public Sector
GoogleAbout the role
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 7 years of experience architecting, developing or maintaining public Cloud solutions.
- 5 years of experience programming in one or more languages (e.g., Java, Python, Go, or C++).
- Experience in one or more disciplines: machine learning, recommendation systems, natural language processing, computer vision, pattern recognition, or artificial intelligence.
- Experience in mentoring and managing technical teams.
- Active, or the ability to obtain, Top Secret/SCI security clearance.
Preferred qualifications:
- Experience with structured enterprise architecture practices, hybrid cloud deployments, and on-premise-to-cloud migration deployments and roadmaps.
- Experience in enterprise technology procurement and architecting large-scale, global distributed cloud systems.
- Experience implementing, migrating or supporting live AI environments on a public cloud with core production strategies.
- Ability to rapidly adopt emerging cloud technologies and methodologies
- Ability to deliver results by orchestrating multi-product solutions through cross-functional collaboration.
- Ability to drive and influence audiences and identify expansion engagements within accounts.
About the job
The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.
In this role, you will ensure quality for your team’s customer engagements, developing relationships with key stakeholders internally/externally that will help your team deliver on the customer’s technical requirements and business goals through AI and Cloud infrastructure. You will value successful delivery and execution on customer engagements and will lead your team through challenging implementations to deliver on customer missions.
You will support Advisors in establishing deep and lasting customer relationships, delivering both proactive and reactive guidance on customer technical issues and helping to track, escalate, and aid in the remediation of technical challenges. You will share best practices with your counterparts in other regions and will place an emphasis on shared success across the team and across regions. You will be comfortable in a fast-changing atmosphere, have a desire to learn, and, most importantly, love working with Google products.
The US base salary range for this full-time position is $177,000-$263,000 + 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.
The US base salary range for this full-time position is $177,000-$263,000 + 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
- Lead a team of high performance Cloud and AI engineers. Provide team le
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