Role Overview :
We are looking for a self-driven Product Manager who combines strong AdTech expertise with commercial acumen, analytical thinking, and a passion for building scalable monetization solutions. The ideal candidate should be comfortable owning business outcomes, leading cross-functional initiatives, and using AI as a core productivity and decision-making tool. B Tech in Computers/IT and MBA from a Tier 1/2 college preferred. A dynamic and data-driven Product Manager – Ad Tech & Ad Monetisation to drive revenue growth through effective monetisation strategies, ad technology optimization, and yield management. This role will be responsible for driving end to end advertiser ecosystem, revenue growth, product roadmap, and Ad Operations while working closely with Engineering, Sales, Analytics, and Business teams across different Ad Tech based products of ENIL.
The ideal candidate should have strong hands-on experience with Google Ad Manager (GAM), DV 360, programmatic & direct monetization, ad operation, yield optimization, analytics and revenue optimization, along with a product mindset and the ability to lead a small team.
Key Responsibilities:
Ad Monetisation Strategy & Revenue Growth
- Develop and execute strategies to maximize advertising revenue across digital platforms.
- Identify opportunities to improve ad yield, fill rates, eCPM, CTR, and overall monetisation performance.
- Analyze revenue trends and build actionable insights to improve business outcomes.
- Drive experiments around ad placements, formats, pricing, and audience segmentation.
- Work closely with business teams to identify new monetisation opportunities.
Ad Tech Management & Optimisation
- Manage and optimize the complete ad tech stack including ad servers, SSPs, DSPs, mediation platforms, and analytics tools.
- Own integrations and performance optimization with advertising partners.
- Monitor ad delivery, troubleshooting issues related to tracking, latency, fill rates, and revenue leakage.
- Ensure smooth implementation of new ad formats and technologies.
- Stay updated with evolving trends in programmatic advertising, privacy changes, and industry best practices.
Programmatic & Partner Management
- Manage relationships with ad networks, demand partners, and technology vendors.
- Evaluate partner performance and negotiate improvements in revenue outcomes.
- Monitor demand quality, advertiser performance, and policy compliance.
- Work with partners to improve monetisation efficiency and inventory utilisation.
Data Analytics & Reporting
- Build dashboards and reports to track key advertising KPIs.
- Analyse metrics such as: Revenue, eCPM, Fill Rate, Impressions, CTR, Viewability, Ad Engagement, User impact metrics
- Translate data insights into actionable recommendations for growth.
- Forecast revenue opportunities and identify performance gaps.
Cross-functional Collaboration
- Collaborate with Product, Engineering, Data Analytics, Marketing, and Business teams.
- Partner with engineering teams for ad tech implementation and troubleshooting.
- Work with product teams to improve user experience while maximising monetisation.
- Coordinate with content teams to optimize inventory and ad opportunities.
Compliance & User Experience
- Ensure compliance with advertising policies, privacy regulations, and industry standards.
- Balance monetisation goals with user experience to avoid negative impact.
- Monitor ad quality and prevent unwanted or low-quality advertisements.
- Collaborate with Product, Engineering, Sales, Analytics, and Design teams to deliver monetization initiatives.
Required Skills
- 6–10 years of experience in Product Management, AdTech, Publisher Monetization, or Digital Advertising.
- Strong hands-on experience with Google Ad Manager (GAM) & DV 360 is mandatory.
- Deep understanding of publisher monetization, programmatic advertising, yield optimization, and digital ad ecosystems.
- Experience working with Display, Video, Native, and Audio advertising formats.
- Strong analytical skills with experience in A/B testing and data-driven decision-making.
- Excellent stakeholder management and cross-functional collaboration skills.
- Prior experience managing or mentoring small teams is preferred.
- Proficiency in AI tools such as ChatGPT, Gemini, Claude, Perplexity, Cursor, or similar platforms for day-to-day product management is highly desirable.
- Leverage AI tools to improve product management workflows, analytics, documentation, experimentation, and operational efficiency.
- Lead and mentor a team of 2–3 Ad Operations executives, ensuring efficient campaign execution and operational excellence.
Good to Have
- Experience in Music OTT, Video OTT, Audio Streaming, Microdrama, or other digital content platforms.
- Understanding of subscription-led and hybrid (Ads + Subscription) monetization models.
- Working knowledge of SQL, Firebase, Google Analytics, Looker, or similar analytics tools.
