When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.
As the Manager of the Google Forge Solutions Architect team, you will lead a squad of technical experts who fuse business strategy with advanced engineering to bridge the gap between visionary ideas and functional reality. You are responsible for a multidisciplinary team that doesn’t just advise, but co-creates side-by-side with strategic customers co-designing, architecting, and building production-scale MVPs directly within customer environments to maximize business outcomes.
In this role, you will provide architectural mentorship to your team across a comprehensive tech stack—spanning Data Analytics, Security, Software Engineering, and Advanced AI—while enforcing the operational excellence needed to navigate deep discovery, data readiness, and defined routes to production. Your mission is to unblock your squad and empower them as they solve critical customer pain points, ensuring successful engagement execution from initial discovery through to robust production graduation.
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.
Responsibilities
- Team Leadership and Scale: Lead a team of Solution Architects and Engineers. Drive team culture, talent strategy, and skills development to deliver high-impact MVPs and accelerate the customer path to production.
- Engineering Excellence: Serve as the technical lead to establish coding standards and architectural best practices that elevate engineering quality across the team.
- Strategic Resourcing: Partner with sales and technical leadership to scope high-value opportunities and deploy specialized cross-functional squads (Architects, Software Engineers, Data Engineers, AI Specialists) to key customer engagements.
- Technical Hiring: Lead recruitment for the engineering organization, evaluating candidates across software engineering, system design, AI, and data to build a exceptional technical team.
- Product and Platform Feedback: Collaborate with internal Product and Engineering teams to unblock field deployments, translate customer insights into product roadmaps, and build internal tools that drive organizational efficiency.
Qualifications
Minimum qualifications:
- Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
- 10 years of experience with cloud native architecture in a customer-facing or support role.
- Experience in software engineering management, forward-deployed engineering, or multidisciplinary technical solution teams in a cloud environment.
- Experience in leading discovery, design, and implementation of production-grade cloud solutions.
- Experience in building generative AI solutions, multi-agent workflows, and Retrieval-Augmented Generation (RAG) systems.
Preferred qualifications:
- Master’s or PhD in Computer Science, AI, or equivalent practical experience.
- Ability to design observable, secure multi-agent applications using advanced patterns (e.g., ReAct, self-reflection), state management, and tool-calling protocols.
- Track record of establishing a defined path to production by aligning, upskilling, and collaborating with cross-functional customer teams to successfully graduate prototypes into scalable, live environment deployments that deliver tangible business outcomes.
- Expert at diagnosing business problems and designing feasible, real-world solutions that align both executive stakeholders and technical teams.
- Integrate AI models into complex enterprise pipelines, ensuring data readiness, robust database foundations, sovereignty, and compliance.