AI Foundation & Security DevRel Engineer

Google; Seattle (WA); Hybrid; USD 163,000 - 236,000; Full time

Benefits offered by this job

Health/Dental/Vision/Life insurance

401(k) match

Paid time off 20 days/year

Sick time 40h/year

Maternity leave 28-30 weeks

Baby bonding leave 18 weeks

Holidays 13 days

Job summary

Google is seeking a Cloud Developer Relations Engineer to bridge developers and customers, shaping Google's AI platforms and open-source projects like Kubernetes, Beam, and TensorFlow.

Your work includes building production-ready AI applications, integrating AI into secure workflows, and creating demos, blogs, and tutorials to accelerate developer adoption on Google Cloud. Individual pay varies by skills and experience.

Qualifications

• Bachelor's degree in Computer Science or related field.
• 5 years of experience in a technical role.
• 2 years of experience integrating or building production-grade generative AI/LLMs.
• 1 year of experience producing engaging developer content.

Responsibilities

• Be able to dogfood AI features and provide actionable feedback to developer teams to resolve developer friction and influence product roadmaps.
• Create engaging technical demos, blogs, and videos that demystify complex AI developer problems and drive share of voice.
• Manage developer programs, workshops, and hackathons to foster a vibrant community for AI solutions on Google Cloud.
• Develop comprehensive resources, including sample code and tutorials, while representing Google at industry events and conferences.
• Design, build, and maintain production-grade AI applications and agentic workflows to demonstrate deployment at scale.

Skills

Technical experience

Content creation

AI/LLM integration

Analytical thinking

Education

Bachelor's degree in CS or related field

Tools

Kubernetes

Beam

TensorFlow

Job description

Google is seeking a Cloud Developer Relations Engineer to bridge developers and customers, shaping Google's AI platforms and open-source projects like Kubernetes, Beam, and TensorFlow.

Your work includes building production-ready AI applications, integrating AI into secure workflows, and creating demos, blogs, and tutorials to accelerate developer adoption on Google Cloud. Individual pay varies by skills and experience.