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About the Role
Lead our Fraud and Ad Quality team, owning ad fraud and ad quality technology that enables advertisers to measure and avoid invalid traffic. This role requires strong vision, decision-making, strategic prioritization, and stakeholder alignment, with technical literacy to engage in emerging technology and debate architectural decisions.
Responsibilities
- Define the product strategy, roadmap, and go-to-market for the Fraud and Ad Quality team.
- Define and drive execution of Fraud product strategy through close collaboration with Engineering, Data Science, Business Development, and the Commercial team.
- Become the go-to leader for all products related to Fraud, including data science ML/AI models and fraud measurement and optimization products.
- Collaborate with BD across various data partners.
- Conduct market research on trends in fraud and other ad quality areas such as made-for-advertising (MFA).
- Work with development teams and peers to oversee the planning, design, and development from initiation decision through release and future iterations.
- Work with Product Marketing on value propositions, positioning, promotions, and sales programs to help evangelize new and existing solutions.
- Develop strong, positive relationships with Product team members, Engineering, Data Science counterparts, and Business stakeholders building IAS’s best-in-class portfolio of product offerings.
- Be a visible advocate and evangelist for your products internally and externally.
Requirements
- 10+ years of product management experience in a fast-moving B2B SaaS environment.
- Proven domain expertise in ad fraud detection, invalid traffic (IVT), or cybersecurity.
- Strong ability to navigate ambiguous, high-growth environments where proactive decision-making and execution drive impact.
- Experience working on new tech products where you engage in product/feature architecture decisions.
- Proven ability to collaborate with engineering leads and hold teams to a high standard for product solutions, identifying when technical design decisions may limit performance, scalability, or future innovation.
- Experience driving adoption of innovative solutions, making features accessible and coordinating marketing and sales to drive customer acquisition, leveraging product signals and data-driven decision-making.
- Proven ability to drive execution and strategy simultaneously, making clear priority decisions and aligning stakeholders across the business.
- Exceptional stakeholder management and communication skills, with a track record of collaborating cross-functionally with engineering, commercial teams, and leadership.
Skills
- ML/AI and data science experience is a strong plus.
- AdTech or related industry experience with a strong understanding of the digital advertising ecosystem is preferred.
Location
- US - New York, NY
- Toronto
Work Type
- Full-time
Experience Level
- Senior Staff
Education Level
- Bachelor’s degree in Engineering or a STEM related field
Salary/Compensations
- $154,700.00 - $265,200.00 Annual (US - New York, NY)
- 140,000.00 - 240,000.00 USD Annual (Toronto)
Benefits
- Paid time off
- Health insurance (medical, dental, vision) as well as PPO, HSA and FSA options
- 401k with employer matching contributions
- Competitive compensation
- Eligible for an annual bonus and/or other incentive plans
About the Company
- 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.
Equal Opportunity
- IAS is an equal opportunity employer, committed to our diversity and inclusiveness.
- We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.
- We strongly encourage women, people of color, members of the LGBTQIA community, people with disabilities and veterans to apply.