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X The application window will be open until at least June 23, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

This role may also be located in our Playa Vista, CA campus.

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

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Chicago, IL, USA; Addison, TX, USA; Irvine, CA, USA; Kirkland, WA, USA; New York, NY, USA; Los Angeles, CA, USA; Reston, VA, USA; Seattle, WA, USA; San Francisco, CA, USA; Washington D.C., DC, USA.

Minimum qualifications:

• Bachelor's degree in Computer Science, a related engineering field, or equivalent practical experience.
• 7 years of experience in customer or partner-facing technical roles, within a cloud computing environment.
• Experience collaborating with or within technology ISVs or SaaS companies, leveraging AI/ML technologies in a public cloud environment.
• Experience in cloud solutions architecture across Kubernetes, Container based applications, IaaC, security and networking.
• Experience with one of the following: AI models, large language models, AI agents, AI Agentic workflows and AI specialized infrastructure as it relates to AI trends and issues within businesses.

Preferred qualifications:

• Experience building AI solutions using cloud products and services.
• Experience in technology and service partnerships.
• Experience working in sovereign cloud.
• Proficiency in one or more programming languages: SQL, PyTorch, TensorFlow, Pandas, R and Python.
• Expertise with automation tools such as Terraform or Ansible.
• Ability to build relationships across technical and business functions within multiple organizations.

About the job

As a Partner Solutions Architect, you will serve as a trusted advisor to System Integrator (SI) and Independent Software Vendor (ISV) partners. You will enable partners to design and verify solutions that address complex technical and business issues. In this role, you will lead the implementation and integration of partner solutions with Google Cloud products.

In this role, you will collaborate closely with Partner Development Managers, Product, Engineering, and Go-to-Market (GTM) teams, you will build and scale relationships across all levels of partner organizations, including C-levels, heads of product, and engineering teams. You will drive knowledge sharing both internally and externally by creating high-impact, reusable assets such as reference architectures, technical solution guides, accelerators, blog posts, and live demonstrations. Additionally, you will demonstrate thought leadership by representing Google Cloud and our partners at industry events, presenting joint solutions that accelerate product launches and drive partner adoption.

US: $183000 - $266000 (USD) 20% bonus target bonus equity benefits

Responsibilities

• Work closely with partners to scale ISV platforms with a focus on sovereign and AI capabilities. Build joint product capabilities with Google's partners across solution pillars (e.g., AI, Sovereign, Security).
• Act as the technical bridge for Google product and engineering teams, creating new integrations or resolving blockers, shaping the product roadmap. Act as the partner technical lead to unblock technical challenges related to deployment and operations of Sovereign Cloud.
• Lead deep technical discussions and workshops to identify and qualify business opportunities, comprehending partner technical objectives and capabilities.
• Recommend integration/build strategies, enterprise architectures, platforms, and application infrastructure to design and build joint solutions using Sovereign Cloud and AI.
• Coordinate with a broad range of stakeholders across Google to align on workstreams/roadmaps, and furnish partner insights to help shape product direction and resolve technical impediments.

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