Developer Productivity Engineer
About The Position
The Developer Productivity Engineer owns the operational success of the client's Coding AI tool and helps maximize its value across the engineering organization. The role supports engineers, drives adoption of new technologies, analyzes usage data, and serves as a bridge between platform users and the AI platform team. It combines developer tools, AI enablement, technical support, analytics, and stakeholder engagement. The successful candidate advocates for developers and helps them adopt AI-powered development tools. They act as the primary support and escalation point for engineers, troubleshoot issues, and improve the overall user experience. They use data and metrics to understand adoption trends, identify challenges, and measure business impact, while working with engineering, product, and AI platform teams on continuous improvements.
Requirements
- At least 3 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 their application in software development workflows.
- Experience with developer environments such as VS Code and related integrations.
- Experience with dashboarding, analytics, and monitoring platforms such as Grafana or Kibana.
- Programming experience in one or more of Python, Go, or Java.
- Familiarity with Jira, ServiceNow, or similar ticketing and support systems.
- Strong problem-solving, troubleshooting, and analytical skills.
- Excellent communication skills and ability to work effectively across multiple engineering teams.
Nice To Haves
- Passion for improving developer productivity and user experience.
- Experience supporting internal engineering platforms at scale.
- Strong customer service and relationship-management skills.
- Ability to translate technical issues into actionable solutions.
- Comfort working with data, analytics, and adoption metrics.
- Curiosity about AI technologies and enthusiasm for helping engineering teams realize value from AI-powered tools.
- Proactive mindset focused on identifying problems, improving processes, and driving measurable outcomes.
Responsibilities
- Partner with engineering teams to increase awareness, onboarding, and adoption of the client's Coding AI platform.
- Support installation, configuration, and ongoing platform usage across the engineering organization.
- Gather developer feedback and provide actionable recommendations to improve the user experience.
- Serve as the first point of contact for engineers needing assistance with the Coding AI tool.
- Troubleshoot and resolve common user issues, coordinating with the platform team on more complex technical problems.
- Create and maintain onboarding materials, knowledge base articles, documentation, FAQs, and training resources.
- Track platform adoption, usage patterns, and effectiveness across teams.
- Develop dashboards and reporting solutions that provide visibility into engagement, trends, and key performance indicators.
- Analyze data to identify opportunities to increase adoption and improve developer productivity.
- Partner with the Coding AI platform team on bug resolution, feature requests, and future enhancements.
- Communicate observations, trends, and recommendations to leadership and stakeholders.
- Ensure platform usage aligns with organizational security, access management, and governance requirements.
