Developer Productivity Engineer
Overview
Help engineering teams unlock the full value of AI-powered development tools in this hands-on Developer Productivity Engineer role. You’ll serve as a trusted advocate for developers, supporting adoption of a coding AI platform, resolving user challenges, analyzing engagement data, and partnering with engineering and AI platform teams to improve the overall developer experience.
This role is ideal for a technically capable professional who enjoys working at the intersection of developer tools, AI enablement, technical support, analytics, and cross-functional collaboration. Rather than focusing solely on software development, you’ll help engineers successfully adopt emerging technologies and translate usage insights into measurable productivity improvements.
Required Skills and Qualifications
- 3–5 years of experience supporting developer tools, engineering platforms, DevOps environments, or developer productivity initiatives
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- Experience administering, supporting, or enabling developer-facing tools and platforms
- Familiarity with AI-assisted coding technologies, large language models (LLMs), and AI agents
- Knowledge of AI coding tools and their application within software development workflows
- Experience working with developer environments such as VS Code and related integrations
- Programming experience in one or more of the following:
- Python
- Go
- Java
- Experience with dashboarding, analytics, or monitoring platforms such as Grafana or Kibana
- Familiarity with Jira, ServiceNow, or similar ticketing and support systems
- Strong troubleshooting, problem-solving, and analytical skills
- Excellent communication skills and the ability to collaborate effectively across multiple engineering teams
- Ability to translate technical issues into clear, actionable solutions
Key Responsibilities
- Drive awareness, onboarding, and adoption of AI-powered coding tools across engineering teams
- Support installation, configuration, and ongoing usage of the platform
- Serve as a primary support and escalation point for engineers using the platform
- Troubleshoot user issues and coordinate with platform teams on complex technical problems
- Create and maintain onboarding materials, FAQs, knowledge base articles, documentation, and training resources
- Gather developer feedback and recommend improvements to the user experience
- Track adoption, usage patterns, engagement, and platform effectiveness
- Build dashboards and reporting solutions that provide visibility into key performance indicators and trends
- Analyze usage data to identify adoption challenges and opportunities to improve developer productivity
- Partner with engineering, product, and AI platform teams on bug resolution, feature requests, and enhancements
- Communicate insights, trends, and recommendations to stakeholders and leadership
- Help ensure platform usage aligns with security, access management, and governance requirements
Nice-to-Have Skills
- Experience supporting internal engineering platforms at scale
- Experience driving adoption of new developer technologies or enterprise tools
- Strong customer service and relationship-management skills
- Experience creating developer enablement programs, technical documentation, or training
- Familiarity with platform governance, access management, or security requirements
- Experience measuring business impact through adoption metrics and usage analytics
- Curiosity about emerging AI technologies and their practical applications in software development
- A proactive approach to identifying issues, improving processes, and delivering measurable outcomes
Preferred Education and Experience
- Bachelor’s degree in Computer Science, Engineering, or a related technical discipline
- Equivalent practical experience may be considered
- Approximately 3–5 years of relevant professional experience in developer productivity, developer tools, engineering platforms, DevOps support, or a related area
Other Requirements
- Contract position with an approximately 9-month duration
- Hybrid role based in San Jose, California
- Onsite attendance required three days per week
- W2 employment only
- Ability to work effectively with distributed engineering, product, and platform stakeholders
- Strong interest in helping engineering teams adopt and benefit from AI-powered development tools
