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Vp Engineering Data Ai Jobs (NOW HIRING)

Countryway Insurance Co.

$200 - $250/hr

Vice President, Data & AI STATUS: Exempt COMPENSATION RANGE: $228,000 - $240,000 Annually with up ... Data Engineering & Shared Platforms * Lead enterprise data engineering and platform teams ...

Bombora

VP Engineering

New York, NY · On-site +1

$260K - $320K/yr

VP Engineering The true B2B data pioneer, Bombora connects the B2B ecosystem in a one-of-a kind ... Structures tooling and assets for AI-effectiveness throughout our workflows in both effective and ...

Bombora

VP Engineering

New York, NY · On-site +1

$260K - $320K/yr

VP Engineering The true B2B data pioneer, Bombora connects the B2B ecosystem in a one-of-a kind ... Structures tooling and assets for AI-effectiveness throughout our workflows in both effective and ...

Common Sense

Vice President, Engineering

San Francisco, CA · On-site

$175K - $205K/yr

... Data, and the broader organization, and stays hands-on where it matters most, whether that means ... Champion the responsible adoption of AI across both our products and the software development ...

EvolutionIQ

Vice President, Engineering

New York, NY · On-site

$350K/yr

We are currently looking to hire a Vice President of Engineering who is an experienced engineering ... Hands-on experience building and leading teams that span SWE, ML/AI, and data, not just one ...

EvolutionIQ

Vice President, Engineering

New York, NY · On-site

$350K/yr

We are currently looking to hire a Vice President of Engineering who is an experienced engineering ... Hands-on experience building and leading teams that span SWE, ML/AI, and data, not just one ...

Eaton

Vice President Engineering- Data Centers

Chicago, IL · On-site

$242K - $355K/yr

Reporting directly to the Global Data Center Group President and functionally to the Electrical Sector CTO, the VP of Engineering is a critical member of the senior leadership team. In this highly ...

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Vp Engineering Data Ai information

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$112.5K

$215.6K

$398.5K

How much do vp engineering data ai jobs pay per year?

As of Sep 9, 2026, the average yearly pay for vp engineering data ai in the United States is $215,595.00, according to ZipRecruiter salary data. Most workers in this role earn between $180,000.00 and $232,000.00 per year, depending on experience, location, and employer.

What are popular job titles related to Vp Engineering Data Ai jobs?

For Vp Engineering Data Ai jobs, the most frequently searched job titles are:

Infographic showing various Vp Engineering Data Ai job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $215,595 per year, or $103.7 per hour.

Vice President, Engineering

Washington, DC • On-site

Civis Analytics
Software Development • 51 - 200 employees
Learn more about Civis Analyticsexternal

$250/hr

Other

Posted 25 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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