Senior Staff Product Manager

Job Overview Staff Product Manager – Signal Dashboards and AI Hybrid (NYC/SF). IAS is a global media measurement and optimization platform that delivers actionable data to advertisers, publishers and media platforms. As a Staff Product Manager, you will lead the roadmap and development of Signal dashboards and AI-powered capabilities, creating insights that drive marketing spend optimization. Responsibilities Build customer empathy by engaging directly with advertisers, agencies and platform partners to translate real-world pain points into actionable dashboard and AI-driven solutions. Envision, design, and deliver compelling data reporting and visualization solutions that unlock impact and value for customers. Lead the product roadmap for our advertiser- and agency-facing dashboard platform, focusing on AI-driven insights. Align product peers, design, data science, engineering, and commercial teams around a unified roadmap. Partner with Data Engineering to ensure reporting pipelines, data models, and visualization layers are accurate, scalable, and performance-optimized. Serve as a thought partner to engineering and data science on 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 the broader suite of products, collaborating with adjacent teams to drive platform cohesion. Partner with 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. Qualifications 10+ years of product management experience, preferably in B2B software or platform product roles. Experience working on analytics platforms, advertiser dashboards, or large‑scale data products. 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. Preferred 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. Compensation & Benefits Primary Location: US – NewYork, NY Base Pay Range: $154,700 – $265,200 (annual) – pay varies by geography and experience. Additional locations may receive comparable ranges. IAS offers a comprehensive benefits package including paid time off, health insurance (medical, dental, vision), PPO, HSA, FSA options, and a 401(k) plan with employer matching contributions. All full‑time employees are eligible for an annual bonus and other incentive plans. Equal Opportunity IAS is an equal‑opportunity employer committed to diversity and inclusiveness. We consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability, or age. We encourage women, people of color, LGBTQIA community members, people with disabilities, and veterans to apply. #J-18808-Ljbffr Integral Ad Science, Inc.