Senior Software Engineering Manager, Ecosystems and Integrations Databases

About the role

Software Engineering Managers at Google have the technical expertise to lead major projects and also manage a team of engineers. They optimize their own code and ensure their team members do the same. The team's mission is to transform Cloud databases for agent-based AI. They work on various projects including information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, and user interface design.

Responsibilities

• Deliver the industry's leading platform for empowering agents to use enterprise data.
• Develop a team of software engineers, helping them to grow while navigating a fast-evolving, high stakes environment.
• Provide cross-organizational leadership, interfacing with product, research, UX, program management, and executive leadership, expecting regular engagement at Vice President (VP) level.
• Create a customer-centric culture that prioritizes developer experience and stays attuned to the innovations happening in the AI developer community, including enterprise, startup, and open-source developers.
• Balance the need for ongoing, open-ended research at the frontiers of AI and databases with the practical imperative to ship products and features that meet customer demands today.

Requirements

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience with software development.
• 5 years of experience in a people management or team leadership role.
• 5 years of experience with machine learning algorithms and tools, or applied ML (e.g., NLP, Generative AI).
• Experience building and deploying generative AI agents.

Qualifications

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 5 years of experience working in a complex, matrixed organization.
• Experience with information security, governance and compliance for enterprise cloud services.
• Experience maintaining and contributing to open source software, especially on code hosting platforms.
• Understanding of agent skills, model context protocol, and other agent/tool frameworks and protocols.

Skills

Technical and leadership expertise, managing engineers across multiple teams and locations, a large product budget, and overseeing the deployment of large-scale projects across multiple sites internationally.

Benefits

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Kirkland, WA, USA; Sunnyvale, CA, USA; New York, NY, USA. Minimum qualifications include a Bachelor’s degree or equivalent practical experience, 8 years of experience with software development, 5 years of experience in a people management or team leadership role, 5 years of experience with machine learning algorithms and tools, or applied ML (e.g., NLP, Generative AI), and experience building and deploying generative AI agents. Preferred qualifications include a Master’s degree or PhD in Engineering, Computer Science, or a related technical field, 5 years of experience working in a complex, matrixed organization, experience with information security, governance and compliance for enterprise cloud services, experience maintaining and contributing to open source software, especially on code hosting platforms, and understanding of agent skills, model context protocol, and other agent/tool frameworks and protocols. Google offers a comprehensive benefits package, including 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), and more. By operating with scale and speed, our exceptional software engineers are just getting started – and as a manager, you guide the way. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $262,000 - $365,000 (USD) + 25% bonus target + equity + benefits.

Pay

US: $262,000 - $365,000 (USD) + 25% bonus target + equity + benefits

Schedule

Not specified