Job Description
In most instances, this position requires in-person interviews as part of the hiring process.
The application window will be open until at least November 5, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.
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:
US: $152000 - $221000 (USD) + 15% bonus target + equity + benefits
Responsibilities
Learn more about benefits at Google .
The application window will be open until at least November 5, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.
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
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience troubleshooting technical issues for internal/external partners or customers.
- Experience developing and deploying enterprise solutions leveraging machine learning and artificial intelligence, with a focus on Large Language Models (LLMs).
- Experience in Python, Go, or other modern backend languages.
- Master’s degree in Business, Statistics, Mathematics, Economics, Engineering or Applied Science, or a related field.
- Experience designing, building, and maintaining data pipelines using SQL, and managing production infrastructure through compute infrastructure and server platforms.
- Experience managing and aligning teams across operational, engineering, product, and UX disciplines.
- Experience with front-end web development using Angular, TypeScript, or similar frameworks.
- Experience writing and reviewing production-ready code in a distributed environment.
- Experience developing AI agents through the Google Cloud Agent Development Kit framework.
US: $152000 - $221000 (USD) + 15% bonus target + equity + benefits
Responsibilities
Learn more about benefits at Google .
- Architect and develop robust full-stack applications, partnering with infrastructure and security teams to seamlessly integrate new software solutions and tools with legacy systems.
- Deliver tools with properly built and supported data integrations for operational flows and business impact reporting purposes through tight collaboration with the data team.
- Implement embedded AI and Agentic solutions with focused development, testing, and validation to empower end users with greater efficiency and effectiveness.
- Manage the technical roadmap and strategy to scale and sustain the solutions you deliver through purpose-fit vendor teams.
- Provide expert technical support for complex use cases, ensuring strict compliance with privacy and security standards, while advocating engineering best practices, code reviews, and technical growth across the organization.
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