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Vice President Engineering Technology Management Jobs in Washington

Civis Analytics

Vice President, Engineering

Washington, DC · On-site

$200 - $350/hr

Be the tech voice within our senior leadership team and guide decision-making and business planning ... Proven ability to hire, develop, and manage high‑performing technical teams * Clear, direct ...

Beyond SOF

VP, Engineering

Washington, DC · On-site

$186K - $240K/yr

Lead and manage the engineering team. Develop and implement engineering strategies and plans ... Develop and implement strategies for integrating quantum technologies into the company ...

Beyond SOF

VP, Engineering

Washington, DC · On-site

$220 - $340/hr

Lead and manage the engineering team. * Develop and implement engineering strategies and plans ... Develop and implement strategies for integrating quantum technologies into the company ...

Civis Analytics

Vice President, Engineering

Washington, DC · On-site

$210 - $320/hr

Be the tech voice within our senior leadership team and guide decision-making and business planning ... Proven ability to hire, develop, and manage high‑performing technical teams * Clear, direct ...

Enboarder

Vice President of Engineering

Washington, DC · On-site

$150 - $200/hr

Lead and grow a distributed engineering org across the US and India as one of three VP Engineering leaders; partner closely with peer VPs under the CTO * Manage directors and senior managers; coach ...

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Vice President Engineering Technology Management information

What is the difference between Vice President Engineering Technology Management vs Director of Engineering?

AspectVice President Engineering Technology ManagementDirector of Engineering
ResponsibilitiesOversees multiple engineering departments, sets strategic technology goals, manages senior engineering leadersManages engineering teams, oversees project execution, implements technical solutions
Required CredentialsBachelor's/Master's in Engineering, extensive leadership experience, often MBA or similarBachelor's or Master's in Engineering or related field, engineering experience
Work EnvironmentExecutive-level, strategic planning, cross-department collaborationOperational, project-focused, team management
Industry UsageCommon in large tech, manufacturing, and engineering firmsWidely used across industries for engineering teams

The Vice President Engineering Technology Management focuses on strategic leadership and overseeing multiple engineering functions, while the Director of Engineering handles day-to-day project management and team supervision. Both roles require strong technical backgrounds, but the VP role emphasizes strategic planning and executive decision-making.

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Vice President, Engineering

Civis Analytics

Washington, DC • On-site

$200 - $350/hr

Other

Posted 15 days ago

Job description

Please note that candidates must currently live in the following states: DC, Illinois, Maryland, New York or Virginia.

Civis Analytics is hiring a Vice President, Engineering to lead the company’s technical vision, architecture, and execution as we expand our platform and launch standalone AI products. Reporting to the CEO, the VP will play a critical player–coach role: setting long-term technical direction while staying close to systems, decisions, and delivery.

This role owns the cohesion between Civis’s core data platform and its growing AI product portfolio. As we scale our AI capabilities, the VP will ensure that our existing data infrastructure and IP remain strong, reliable, and extensible—while guiding teams toward an AI-centric development and product environment.

What You’ll Do
  • Be the tech voice within our senior leadership team and guide decision-making and business planning as we scale;
  • Own and drive Civis’s technical roadmap across both the Civis Platform and emerging AI products, ensuring alignment, cohesion, and long‑term scalability
  • Lead architecture decisions across platform, data, and AI systems, balancing speed, reliability, and maintainability
  • Act as a player–coach: stay close to systems, technical tradeoffs, and delivery while empowering teams to execute independently. Guide the organization toward an AI-centric product and development environment, including tooling, workflows, and engineering practices
  • Lead and integrate a cross‑functional team spanning product, engineering, data, and AI, while serving as a visible, hands‑on leader and magnet for technical talent as the organization grows (approximately 15 people initially).
  • Provide thought leadership within the company; research and evaluate cutting‑edge practices and enabling technologies for internal adoption; assess potential partnerships and acquisitions;
  • Be the public face of Civis technology and data science; network, evangelize, and form relationships with press and peer organizations; participate in high‑level sales meetings; and give back to the community.
What We’re Looking For (Minimum Qualifications)
  • Practical, real‑world experience working with AI systems and understanding their application in production environments - beyond theory or research
  • Significant experience leading software, platform, or data engineering organizations in a hands‑on leadership capacity
  • Demonstrated ability to own and evolve technical roadmaps across multiple product lines or platforms
  • Experience making architectural decisions for complex, data‑driven systems
  • Comfort getting into the technical weeds when needed to unblock teams or resolve critical issues
  • Proven ability to hire, develop, and manage high‑performing technical teams
  • Clear, direct communication style and comfort making and standing behind difficult technical decisions
  • Familiarity with building and scaling AI products in production
  • Hands‑on experience with modern cloud platforms and distributed systems
  • Authorization to work in the United States
You Should Apply If
  • You want to actively shape and build AI products, not just talk about them
  • You enjoy owning technical strategy while staying close to execution and delivery
  • You’re comfortable operating in ambiguity and making decisions with imperfect information
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