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VP, AI

Remote / Online - Candidates ideally in
Bellevue, King County, Washington, 98009, USA
Listing for: Madrona Venture Labs
Full Time, Part Time, Remote/Work from Home position
Listed on 2026-07-13
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 226300 - 260000 USD Yearly USD 226300.00 260000.00 YEAR
Job Description & How to Apply Below

Immigration / Work Authorization Notice

Applicants must be currently authorized to work in the United States. iSpot is not able to sponsor or take over sponsorship of an employment visa for this position at this time.

Compensation

Target cash compensation range: $,000 USD Annually

We are committed to providing competitive, market-informed compensation. The cash compensation above includes base salary, variable commission for employees in eligible roles, and annual bonus targets for eligible roles. In addition to cash compensation, all full‑time iSpotters are eligible to participate in iSpot’s equity plan to receive stock options. Non‑exempt roles will also be eligible for (pre‑approved) overtime pay. Individual compensation packages are influenced by different factors unique to each candidate, including their skills, experience, qualifications and other job‑related reasons.

Hybrid

& Flexible Workplace Policy

iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full‑time or part‑time office‑based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency.

Those local or living in surrounding areas to one of our offices (Bellevue, WA or New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week. While those in a role, not office‑based and located further away from our offices, will work a fully remote schedule. If you have questions regarding exact details of our hybrid & flexible workplace policy, please let your recruiter know and they will discuss with you further.

Responsibilities
  • Define and execute iSpot’s AI product strategy across the Creative, Audience, and Outcomes (CAO) product portfolio.
  • Identify high‑value opportunities to apply generative AI, agentic systems, machine learning, and advanced analytics to deliver differentiated customer experiences and measurable business outcomes.
  • Lead the incubation, prototyping, and commercialization of AI‑powered products and features across creative intelligence, audience measurement, and outcome attribution solutions.
  • Partner with Product and Engineering leaders to embed AI capabilities into existing products and future roadmaps.
  • Establish technical direction and architectural patterns for scalable, secure, and responsible AI systems.
  • Build and lead a high‑performing team of AI engineers, scientists, and product specialists focused on customer‑facing innovation.
  • Drive experimentation frameworks that enable rapid validation of new AI concepts while maintaining strong execution discipline.
  • Collaborate directly with customers, partners, and commercial teams to understand market needs and translate them into differentiated AI capabilities.
  • Evaluate emerging AI technologies, vendors, and platforms to accelerate time‑to‑market and maximize business impact.
  • Ensure responsible AI practices, governance, security, privacy, and compliance considerations are embedded into all customer‑facing solutions.
  • Define success metrics and business outcomes for AI initiatives, including customer adoption, revenue impact, operational efficiency, and product differentiation.
  • Represent iSpot externally as a thought leader on AI innovation within advertising, media measurement, audience intelligence, and marketing technology.
Qualifications and Education Requirements
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field; advanced degree preferred.
  • 15+ years of technology leadership experience, including significant experience building AI, machine learning, or data‑driven products.
  • Proven track record of delivering customer‑facing AI products that have created measurable business impact.
  • Deep understanding of modern AI technologies, including large language models, agentic systems, retrieval architectures, machine learning platforms, and generative AI applications.
  • Experience leading cross‑functional organizations spanning engineering, product management, and data science.
  • Strong technical depth…
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