Senior Product Technology Manager, Cloud Support on Gemini

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For United States Applicants:
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
Health, dental, vision, life, disability insurance
Retirement Benefits: 401(k) with company match
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
Baby Bonding Leave: 18 weeks
Holidays: 13 paid days per year
For Mexico City Applicants:
Please submit your resume in English - we can only consider applications submitted in this language.
Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Seattle, WA, USA; San Francisco, CA, USA; Mexico City, CDMX, Mexico.
Minimum qualifications:
Bachelor's degree in Computer Science, Information Systems, related technical field, or equivalent practical experience.
9 years of experience in a technical role, such as technical solutions engineer, software engineer, or technical program manager, providing enterprise-level support and workflows.
9 years of experience with two or more of the following: Web Tech, Data/BigData, Systems Admin, Machine Learning, Networking, Kubernetes, Oracle, SAP, VMWare.
6 years of experience troubleshooting and advocating for customers, addressing Cloud technical risks.
Experience writing and reading code in a general purpose coding language (e.g., Java, C, C++, Python, Shell, Go, JavaScript) or in system design.
Preferred qualifications:
Experience using analytics and data to problem-solve, collaborate, and communicate with stakeholders.
Experience building and understanding agentic AI, large language models (LLMs), and their application in customer-facing products.
Experience launching successful products or services, from conception to launch.
Experience developing and managing technical documentation, runbooks, or knowledge bases.