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Shield AI

Director, Engineering Excellence & Enablement

Shield AI is hiring a Director, Engineering Excellence & Enablement in Washington DC, United States. It pays $210k-$320k a year and Level rates it ; you can apply on Shield AI.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Level classifies it as an executive role.
  • Level lists 654 other open roles at Shield AI.

AI in this role

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:

The Director of Engineering Excellence & Enablement is a strategic leader responsible for improving the effectiveness, efficiency, and execution maturity of the engineering organization. Reporting to the VP of Engineering, this leader partners closely with Engineering, Product, Program Management, and other cross-functional leaders to translate company and product strategy into scalable engineering capabilities, operational rhythms, and enterprise-wide initiatives. 

This role is equal parts strategy, execution, organizational design, and operational excellence. Success is measured by enabling engineering teams to deliver predictably, operate efficiently, and continuously improve while maintaining alignment across the broader organization. 

What you'll do:

    Engineering Strategy & Organizational Enablement 
  •  Partner with the VP of Engineering to translate business and product strategy into engineering capabilities, operating models, and execution plans. 
  • Develop and evolve the engineering operating system, including planning processes, governance, decision-making frameworks, and organizational rhythms. 
  • Identify capability gaps and recommend investments in people, processes, tooling, and organizational structure. 
  • Engineering Excellence 
  • Define and drive engineering excellence initiatives focused on developer productivity, quality, reliability, operational maturity, and continuous improvement. 
  • Establish engineering effectiveness metrics and dashboards that provide visibility into organizational health, delivery performance, and engineering productivity. 
  • Champion adoption of modern engineering practices, standards, and continuous improvement methodologies. 
  • Operational Cadence & Execution 
  • Establish and facilitate consistent engineering operating cadences including strategic planning, quarterly planning, roadmap reviews, engineering leadership meetings, business reviews, and operational retrospectives/after-action reviews. 
  • Drive accountability for execution across engineering leadership while identifying and resolving organizational bottlenecks. 
  • Improve planning accuracy, prioritization, dependency management, and execution predictability. 
  • Enterprise Engineering Initiatives 
  • Lead complex, cross-functional engineering initiatives that span multiple teams and organizations. 
  • Drive strategic programs such as AI enablement, developer experience improvements, technical governance, and organizational scaling initiatives. 
  • Coordinate executive communications, status reporting, risk management, and stakeholder engagement for enterprise programs. 
  • Organizational Effectiveness 
  • Partner with engineering leaders to improve organizational health, team effectiveness, and leadership maturity. 
  • Standardize engineering processes where appropriate while preserving team autonomy. 
  • Foster a culture of operational excellence, continuous learning, and data-informed decision making. 

Required qualifications:

  • 10+ years of engineering leadership, technical program management, engineering operations, or related experience. 
  • Demonstrated success leading large-scale cross-functional initiatives in complex technology organizations. 
  • Experience establishing engineering operating models, governance, planning processes, and execution frameworks. 
  • Strong understanding of modern software engineering organizations, Agile development, DevOps, and engineering metrics in the Aerospace & Defense industry. 
  • Proven ability to influence senior leaders without relying on direct authority. 
  • Exceptional communication, facilitation, organizational, and executive presentation skills. 
  • Strong analytical mindset with experience using data to drive organizational improvements. 

Preferred qualifications:

  • Experience partnering directly with VP or C-level technology executives. 
  • Experience scaling engineering organizations through periods of rapid growth or transformation.
  • Familiarity with developer productivity and organizational effectiveness measurement. 
#LF
Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity   Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment)   Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.   ###   Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

How we rate this

Director, Engineering Excellence & Enablement at Shield AI rates 24 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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