- Own the ads product roadmap across app and web surfaces, working towards improving monetization while maintaining a strong user experience.

- Define and evolve ad placements, formats, inventory strategy and monetization surfaces within the product.

- Innovate and lead the ideation and delivery of innovative ad offerings, brand solutions, interactive and rich ad units to maximize revenue while enhancing the user experience.

- Innovate on ad tech, targeting, audience segments and identify opportunities to maximize advertiser value with highly targeted advertising.

- Balance revenue objectives with editorial integrity, product quality and user trust.

- Drive revenue growth through structured experimentation across ad load, placement strategy, targeting, personalization, and format innovation.

- Use modern AI tools to accelerate research, ideation, prototyping and analysis, reducing time from idea to real user validation.

- Rapidly convert product concepts into working prototypes or interactive flows that can be tested with a small cohort of users before full engineering investment.

- Continuously improve key monetisation metrics such as fill rate, viewability, CTR, yield and overall performance.

- Develop a strong understanding of user behaviour, advertiser demand and the evolving digital news ecosystem.

- Use market analysis, user research and competitive benchmarking to identify monetisation opportunities.

Who you are :

- 5+ years of Product Management experience, with at least 1-2 years of direct experience in ad monetisation, programmatic advertising, or yield optimisation.

- Hands-on familiarity with ad networks, SSPs/DSPs, or header bidding setups is strongly preferred.

- Experience working with ad tech platforms such as Google Ad Manager, Amazon TAM, or similar, including setting up inventory, managing ad units, and running yield experiments.

- Comfortable working in a fast-paced environment with high ownership and autonomy.

- Comfortable working hands-on with modern AI tools and workflows to improve speed and quality of product execution.

- Actively explores and adopts new tools (AI or otherwise) to improve research, prototyping, analysis and day-to-day product workflows.

- Strong collaboration and communication skills, and ability to work across cross-functional teams.

- Strong analytical and problem-solving skills, with the ability to use data to drive decisions.