Join Us!
At Google Operations Center we help Google users and customers solve problems and achieve their goals-all while enjoying a culture focused on improving continuously and being better together. We work hard, we play hard, and we want you to join us!
About the Team:
We have outgrown traditional "Tools and Automation". Our new identity as the Applied AI and Engineering team reflects our bold vision: engineering a self-correcting, multi-agent ecosystem that pioneers the blueprint for the autonomous Google enterprise.
The Applied AI and Engineering team is responsible for architecting, deploying, and scaling agentic workflows, production-grade intelligence systems, and self-healing systems across Google Operations using modern internal and external technologies (including Gemini, Vertex AI, and advanced foundational models). This team goes beyond isolated automations to design coordinated, self-correcting multi-agent architectures that fundamentally transform how Google runs its global operations.
Position Responsibilities:
- Organizational Leadership: Manage and develop a team of Developer Leads. Provide regular coaching, mentoring, and performance management to elevate their leadership capabilities and support their career growth.
- Workflow Oversight: Serve as the focal point of contact for internal and external project queries, ensuring that the team's actions remain in synergy with broader business goals.
- Strategic Alignment: Ensure the development teams' work aligns with the overall strategic goals and roadmap of the Google Operations Center. This includes understanding the big picture and translating it into actionable plans for the teams.
- Cross-Team Coordination: Work with domain experts, Full stack, UX, and PM to translate project requirements into technical tasks.
- Risk Management and Mitigation: Proactively identify and assess potential risks that could impact project delivery, develop mitigation strategies, and escal… etc...
- Dependency Management: Identify and manage dependencies between different projects and teams, ensuring that roadblocks are removed and projects are delivered efficiently.
- Process Optimization: Continuously analyze and improve development processes, workflows, and tools to enhance efficiency, productivity, and overall team performance. This could involve implementing Agile best practices, refining communication channels, or introducing new technologies.
- Project and Process Governance: Establish and enforce delivery frameworks across traditional and AI initiatives. For standard projects, drive SDLC compliance, quality gates, and SLA adherence; for AI projects, oversee model lifecycle governance, including validation, responsible AI standards, and drift monitoring.
- Stakeholder Management: Act as the primary liaison between engineering, product, operations, and executive leadership. Translate technical and AI constraints into business trade-offs, manage expectations via structured reporting, and align priorities across distributed teams.
Minimum Requirements:
- Experience: 12y+ in technical project management, with a focus on maintenance & core development with multiple dev models like agile / scrum / waterfall.
- People Management: 7y+ people management experience involving performance management.
- Strong Experience in Project Planning and Scheduling, Team Coordination, Stakeholder Management, Risk Management, Resource Management, and Quality Assurance
- Excellent organizational skills to track project / scrum timelines, roadmaps, and deliverables.
- Strong Experience in end to end Software Development Life Cycle
- Experience with multiple full lifecycles from Design & Architecture through Development, Testing, Deployment and Debugging production issues.
Preferred qualifications:
- Having as many of these specific qualifications is a plus, but transferable skills/experiences may be equally valuable: Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
- Strong experience in SQL, Python, database concepts.
- 5y+ experience using GIT based continuous integration & delivery
- Experience with Cloud Computing platforms such as GCP, Azure, AWS
- Experience in Middleware development/design (remote procedure call based, publish subscribe based, etc…)
Benefits
We support you with competitive wages and with comprehensiv