TL;DR
Senior Product Manager, Ad Measurement (AI/ML): Owns and drives the evolution of hirify.global’s ad measurement and intelligence capabilities across digital channels with an accent on delivering real-time quality metrics that improve business outcomes. Focus on building and scaling measurement products across social platforms and walled gardens, combining data science, AI/ML, and deep ecosystem integrations.
Location: Hybrid (NYC Global HQ)
Salary: $163,000 - $216,000
Company
hirify.global is a leading software platform for digital media measurement, data, and analytics.
What you will do
- Own end-to-end product strategy and roadmap for ad measurement and intelligence across social platforms and walled gardens.
- Build and scale real-time quality, attention, and performance metrics that correlate with brand and business KPIs.
- Lead products from concept through launch and scaled adoption, balancing innovation with revenue and customer impact.
- Partner with Engineering and Data Science teams to deliver AI/ML-powered measurement and analytics solutions.
- Drive cross-channel solutions spanning open web, mobile, CTV, and platform-native environments.
- Monitor industry trends across ad measurement, attention, privacy, and AI, translating insights into product opportunities.
Requirements
- 4+ years of product management experience in AdTech, MarTech, digital media, or data-driven technology.
- Proven experience delivering measurement, analytics, or AI/ML-powered products.
- Strong track record of 0-1 product development and scaling products post-launch.
- Deep comfort working with engineering and data science teams on complex systems.
- Excellent analytical skills with the ability to connect metrics to business outcomes.
- Ability to communicate complex technical concepts clearly to stakeholders at all levels.
Nice to have
- Experience in AdTech or Martech, with familiarity across social platforms, walled gardens, and programmatic ecosystems.
- Knowledge of ad quality, attention, viewability, or performance measurement methodologies.
- Hands-on exposure to AI/ML concepts, model-driven products, or advanced analytics workflows.
- Working knowledge of databases, SQL, Python, APIs, and large-scale integrations.
Culture & Benefits
- Competitive salary with potential for bonus/commission.
- Equity compensation.
- Comprehensive benefits package.
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