Backed by Insight and Madrona.
About the role
• 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.
What they're looking for
- Bachelor's degree in Computer Science, Engineering, or a related technical field, advanced degree preferred
- 15+ years of technology experience, including 5+ years leading engineering organizations through managers
- Proven track record of shipping and operating large-scale, data-intensive SaaS products in production
- Depth in distributed systems, cloud infrastructure, and modern data platforms and pipelines
- Experience leading cross-functional delivery spanning engineering, product management, and data science
- Strong technical depth with the ability and willingness to remain hands-on when necessary
More about this role
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.
iSpot competes for the best talent. Our compensation packages consist of salary and equity in one of Seattle’s hottest start-ups, as well as other standard benefits. Most importantly, we provide a really interesting working experience, and the chance to contribute to the success of something great.
At iSpot, we are transforming how brands, agencies, publishers, and platforms measure advertising outcomes across linear, streaming, and digital ecosystems. Engineering is the engine behind that transformation — the systems that ingest, resolve, and measure billions of ad exposures every day.
As Vice President of Engineering, you will own the execution, technical direction, and organizational health of engineering across iSpot's Creative, Audience, and Outcomes (CAO) product portfolio. Your mission is to build an engineering organization that ships predictably, operates reliably at scale, and turns product strategy into shipped, measurable customer value.
This is a highly...
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