Requirements

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 12+ years of programming experience in a relevant language or 8+ years of experience with a PhD
• Experience mentoring/influencing executive stakeholders across organizations
• Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
• Experience driving large cross-functional, industry-wide engineering efforts
• Experience communicating and working across functions to drive solutions
• Proven track record of planning multi-year roadmaps in which short-term projects ladder to the long-term mission

Preferred Qualifications

• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• 8+ years relevant experience building large-scale infrastructure applications or similar experience
• Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
• Experience in programming languages such as C, C++, or Java, and scripting languages such as Python, JavaScript, or Hack

Responsibilities

• Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient.
• Effectively communicate complex features and systems in detail.
• Understand industry and company-wide trends to help assess and develop new technologies.
• Partner and collaborate with organization leaders to help improve the level of performance of the team and organization.
• Identify new opportunities for the larger organization and influence the appropriate people for staffing and prioritizing these new ideas.
• Lead long-term technical vision and roadmap for large cross-company efforts.
• Suggest, collect and synthesize requirements and create an effective feature roadmap.
• Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt.