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Integral Ad Science

Staff Product Manager - Signal Dashboards and AI

Posted Yesterday
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Hybrid
San Francisco, CA
Senior level
Easy Apply
Hybrid
San Francisco, CA
Senior level
Lead the product roadmap for Signal Dashboards, focusing on AI-powered insights for advertisers and agencies, ensuring product excellence.
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Senior Staff Product Manager - Signal Dashboards and AI 
Hybrid NYC | SF

Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry’s most actionable data to drive superior results for the world’s largest advertisers, publishers, and media platforms. IAS’s software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments, while improving return on ad spend for advertisers and yield for publishers. Our mission is to be the global benchmark for trust and transparency in digital media quality. For more information, visit integralads.com.

As a Senior Staff Product Manager, you’ll lead the roadmap for Signal dashboards and visualizations – providing customers across global agencies and brands with meaningful and actionable insights to refine and optimize their marketing spend. You will spearhead the development of new AI-powered capabilities—shaping the way our platform organizes, interprets, and activates quality signals across digital media. You’ll drive clarity and focus for a growing cross-functional team and help us evolve from static rules to intelligent, predictive insights.

What you’ll get to do:

  • Build customer empathy by collecting, distilling, and prioritizing opportunities and challenges in translating measurement and optimization insights into action
  • Envision, design, and deliver compelling data reporting and visualization solutions that unlock impact and value for our customers
  • Lead the product roadmap for our advertiser and agency-facing dashboard platform, with a focus on using AI to streamline and deepen insights
  • Align product peers, design, data science, engineering, and commercial teams around a unified roadmap
  • Serve as a thought partner to engineering and data science with build vs. buy or partner decisions to ensure long-term platform health
  • Make informed prioritization and trade-off decisions that balance technical feasibility with business impact
  • Ensure consistency and integration across our broader suite of products, collaborating with adjacent teams to drive platform cohesion
  • Partner with our sales and marketing teams to guide features into market and drive customer adoption

You Should Apply if you have most of this: 

  • 10+ years of product management experience, ideally in B2B software or platform product roles
  • Experience working on analytics platforms, advertiser dashboards, or large-scale data products
  • A track record of innovation—bringing creative, untested ideas to life in emerging product spaces
  • Familiarity with AI/ML-driven product development and its application to performance optimization
  • Demonstrated experience managing products where model accuracy, latency, and cost must be balanced against user experience
  • Ability to evaluate system architecture, assess technical tradeoffs, and partner closely with engineers and data scientists
  • Proven experience in ad tech, martech, or digital media environments—with strong domain knowledge
  • Demonstrated success delivering complex, data-driven products from 0→1 and scaling existing solutions
  • Experience working with cross-functional teams across multiple time zones and functions
  • Clear, structured communication and strong decision-making under ambiguity
  • Comfort operating in high-growth, fast-paced environments with matrixed teams
  • A product mindset that balances innovation with operational excellence

What puts you over the top:

  • A technical background, ideally with a degree in Computer Science or Engineering
  • Experience with prompt engineering, fine-tuning, or working with foundation models (LLMs, vision models, etc.)
  • Experience explaining AI capabilities and limitations to both technical and non-technical stakeholders
  • Track record of defining AI product positioning that avoids overpromising while highlighting genuine value
  • Deep understanding of the media buying ecosystem, measurement standards, and advertiser workflows

Top Skills

AI
Analytics Platforms
B2B Software
Digital Media
Ml

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