Partner Solutions Manager, Google Cloud Marketplace

About the job

As a Partner Solutions Manager, you'll be the technical leader for how partner solutions are onboarded, validated, and made enterprise-ready on Google Cloud Marketplace at global scale. You'll work with partner engineering teams, Google Cloud product and engineering, and field organizations to make sure every solution on Marketplace integrates cleanly, deploys reliably, and meets Google's quality, security, and governance standards.

This role needs a strong technical foundation and an operator's mindset. You'll redesign high-volume, manual processes, like partner onboarding, listing review, integration testing, and solution validation, with AI and automation. The goal is to raise throughput and quality while cutting time-to-market for partners. You'll be a trusted technical advisor to strategic partners and a key source of partner insight for the Marketplace product roadmap.

You'll do well in a fast-paced, ambiguous environment. You'll need to build technical programs from first principles and influence senior cross-functional stakeholders across Google and the partner ecosystem.

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.

• 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

Minimum qualifications:

• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• 15 years of experience in technical solutions consulting, solutions architecture, partner or sales engineering, or technical program delivery in cloud or enterprise software.
• Experience leading technical onboarding, integration, or certification programs for partners or customers
• Experience designing, integrating, or deploying cloud-based solutions across IaaS, PaaS, or SaaS (e.g., APIs, Kubernetes, IAM, billing and metering integrations).
• Experience querying and analyzing datasets (e.g., SQL) to drive operational or business decisions.
• Experience using automation, scripting, or AI/ML tools to improve operational workflows.

Preferred qualifications:

• Master's degree in a technical field or MBA.
• Experience with hyperscaler cloud marketplaces, including solution listing, technical integration, private offers, and enterprise procurement.
• Experience building AI-enabled operational workflows (LLM reviews, automated validation, support) delivering measurable gains in cycle time.
• Experience using product telemetry and consumption data to shape incentive, investment, and go-to-market programs.
• Proficiency in Python, Go, or Java, with CI/CD, Terraform, and enterprise security, compliance, and supply chain requirements (SOC 2).
• Ability to translate technical insights into product requirements and demonstrate executive communication and leadership presence.

Responsibilities

• Manage annual listings spanning traditional SaaS, APIs, VMs, Kubernetes, datasets, and new AI components (plugins, skills, connectors). Own end-to-end technical integrations (procurement, metering, IAM, packaging) to minimize time-to-publish.
• Establish enterprise standards for security, reliability, and metering across all solutions and AI components, scaling review and certification mechanisms.
• Deploy AI-driven workflows for automated reviews, integration testing, support triage, and onboarding guidance while optimizing operational metrics.
• Analyze Marketplace telemetry and consumption datasets to optimize incentive allocations and investments for high-impact solutions.
• Guide engineering leaders on architecture and enterprise