Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Jun 27, 2025. Meta scores B on the Alion truth index.
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 & company-wide trends to help assess & develop new technologies Partner & collaborate with organization leaders to help improve the level of performance of the team & organization Identify new opportunities for the larger organization & influence the appropriate people for staffing/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
Qualifications
Experience driving large cross-functional/industry-wide engineering efforts Experience mentoring/influencing executive stakeholders across organizations Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Experience communicating and working across functions to drive solutions Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term mission 12+ years of programming experience in a relevant language OR 8+ years experience with a PhD Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions Experience with multithreading programming and mobile memory management 4+ years of experience building Android applications in Java using Android SDK Shipped at least one large-scale product to production, supporting millions of active users Experience building maintainable and testable code bases, including API design and unit testing techniques 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

