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 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 engaging directly with advertisers, agencies, and platform partners to understand their decision-making workflows and translate real-world pain points into impactful dashboard and AI-driven solutions.
- 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
- Partner closely with Data Engineering to ensure reporting pipelines, data models, and visualization layers are accurate, scalable, and optimized for performance across global customers.
- 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
- Define, track, and communicate success metrics (e.g., dashboard engagement, adoption, and insight activation rates) to executives and cross-functional stakeholders, ensuring measurable business impact.
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
- Familiarity with AI and data tooling such as Databricks, Snowflake, and SQL to enable effective collaboration with data science and engineering teams to translate raw data into actionable, AI-driven insights.
New York Applicants: The salary range for this position is $154,700 - $265,200. Actual pay may vary based on experience or geographic location.