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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading high-performing engineering teams while integrating AI tools to enhance developer workflows and productivity. Proficient in establishing scalable solutions and quality standards, with a strong focus on communication and stakeholder management.
Highest-signal resume keywords
AI Coding Tools ExperienceCI/CD Pipeline ManagementTeam Leadership and MentoringAI Fluency AssessmentDeveloper Workflow Optimization
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringAI Augmented DevelopmentPrompt EngineeringContext EngineeringToken EconomicsScalable Solution ImplementationQuality Standards EstablishmentData Handling ComplianceAI Risk ManagementDeveloper Tools Understanding
Soft Skills
Exceptional CommunicationStakeholder ManagementCoaching and MentoringCollaborationCustomer-First Mentality
Tools & Technologies
CursorClaude CodeCodexAI-Powered ToolingCI/CD ToolsInternal ToolsAI-Driven WorkflowsFeedback LoopsMetrics TrackingDocumentation Writing
Certifications & Qualifications
Legal Authorization to Work
Industry Keywords
Developer ExperienceEngineering VelocityAI AdoptionAI-Driven Productivity GainsSoftware Development Practices
About the role
Key responsibilities & impact- Lead a high-impact team focused on improving developer workflows, reducing friction, and enhancing engineering experience
- Oversee development and maintenance of CI/CD pipelines, build systems, internal tools, AI-powered internal tooling, and agents
- Ensure developer infrastructure is scalable, reliable, and secure
- Evaluate and implement AI-native technologies while considering token economics, compute costs, AI spend, and productivity gains
- Build, mentor, and lead a developer productivity engineering team
- Foster collaboration, innovation, and accountability
- Set goals and provide regular feedback in partnership with the Director
- Assess team members' AI fluency and set individual growth targets
- Coach AI fluency through 1:1s, peer knowledge transfer, experimentation, safe-to-fail projects, and learning sprints
- Recognize AI-driven improvements in performance conversations
- Collaborate with engineering, product, and design teams to align priorities
- Advocate for developer needs and communicate capabilities and limitations to non-technical stakeholders
- Write specs, rules files, and documentation that improve AI effectiveness
- Define and track metrics for developer productivity, satisfaction, AI adoption, and AI-driven productivity gains
- Use data-driven insights to prioritize initiatives and demonstrate impact
- Iterate on processes to improve engineering velocity and quality
- Identify and eliminate development lifecycle pain points through AI-augmented workflows
- Drive adoption of AI coding tools including Cursor, Brain, and copilots
- Ensure team access to and active use of AI tools; remove tooling, access, and training blockers
- Design AI-augmented development workflows that multiply team velocity
- Coach engineers on planning, delegating to agents, reviewing with judgment, and shipping with velocity
- Ensure compliance with AI usage guidelines covering data handling, code review, and intellectual property
- Proactively flag security, correctness, and licensing risks from AI-generated code
- Maintain visibility into AI tools and usage
- Run retrospectives and feedback loops on AI-related outcomes
- Review AI-generated outputs to establish shared quality standards
Requirements
What you’ll need- 7+ years in software engineering
- 3+ years in a leadership role managing engineering teams
- Strong understanding of developer tools, CI/CD pipelines, and modern software development practices
- Hands-on experience with AI coding tools such as Cursor, Claude Code, Codex, or similar
- Understanding of integrating AI coding tools into engineering workflows
- Demonstrated AI Augmented level or above; personally use AI tools daily and have coached others on effective AI-assisted development
- Familiarity with prompt engineering, context engineering, and token economics
- Experience with the 80/20 model and orchestrating work across humans and AI agents
- Strong judgment on when to delegate to AI versus when human decision-making is critical
- Proven ability to build and lead high-performing teams
- Experience assessing and developing AI fluency across a team
- Track record of identifying inefficiencies and implementing scalable solutions, including AI-powered tooling and evaluation frameworks
- Understanding of AI and non-AI risks, including security, correctness, licensing, and data handling
- Experience establishing quality standards for outputs
- Exceptional communication and stakeholder management skills
- Ability to translate AI capabilities and limitations to non-technical audiences
- Passion for improving developer experiences and driving organizational impact through AI-native practices
- Customer-first mentality
- Legal authorization to work in the country where based
- Visa sponsorship is not guaranteed and depends on business needs for the specific role
Benefits
Comp & perks- Equity
- 401k
- Health, Dental, and Vision insurance
- Spending accounts
- Life & Disability
- Paid parental leave
- Flexible paid time off
- Enhanced employee assistance program
- Employee wellness stipend
- Professional development stipend
- Flexible remote work with a global team