Director Product

About the Company

Affinity is pioneering new frontiers in AdTech by building privacy-first advertising infrastructure that helps publishers maximize monetization and enables advertisers to reach the right audiences beyond walled gardens. Operating across 10+ markets in Asia, the US, and Europe, with a team of 500+ professionals, Affinity continues to innovate at scale in the global AdTech ecosystem.

About the Role

Role:

Director, Product Location:

Mumbai (Malad) Product:

mCanvas

Responsibilities

Translate advertiser, publisher, and platform needs into clear product requirements defining scope, wireframes, and prototypes and partner closely with engineering and AI teams to deliver timely launches. Own end-to-end product delivery across a complex AdTech stack, acting as product owner from discovery through launch, enablement, and adoption, covering CTV ad delivery, measurement, optimization, and web/data platforms. Partner cross-functionally with Engineering, Data Science, Sales, Customer Success, Marketing, and Business teams to prioritize high-impact initiatives and drive continuous product value across DSP, SSP, and data platforms. Lead strategic collaboration to improve advertiser and publisher outcomes, accelerate adoption, and deliver measurable revenue growth. Apply strong ecosystem judgment by balancing the needs of advertisers, agencies, publishers, OEMs, SSPs, data partners, and internal stakeholders in product decisions. Drive competitive and ecosystem intelligence by tracking customer needs, CTV/AdTech trends, privacy and identity shifts, and partnerships—translating insights into differentiated features, performance gains, and strong product positioning. Lead product discovery and validation through market research, feasibility analysis, and solution evaluation, driving iterative improvements across CTV inventory, targeting, bidding, and measurement. Drive data-led decision-making through experimentation, dashboards, and AI-powered insights across product, campaign, and customer performance. Apply AI/ML capabilities—predictive modelling, optimization, segmentation, fraud detection, and forecasting—by collaborating closely with data science and engineering teams. Strong domain expertise in CTV, programmatic and performance marketing, including DSP/SSP/DMP platforms, audience onboarding, identity resolution, inventory forecasting, bidding strategies, and attribution. Deep technical understanding of AdTech data flows—RTB, ad serving, CTV playback environments, event/log pipelines, attribution (impression/click to conversion), reconciliation, and large-scale data systems for reporting and dashboards.

Required Skills

Bachelor’s degree in Computer Science, Engineering, or a related field; MBA from a top-tier institute preferred. 8+ years of Product Management experience in AdTech/MarTech, delivering complex web, mobile, data-driven, and CTV products. Proven experience leading and mentoring Product Managers and/or Product Analysts. Strong track record building and scaling B2B / Enterprise SaaS products, preferably within AdTech, MarTech, or data platforms. Deep familiarity with programmatic advertising ecosystems, including DSPs, SSPs, DMPs, CTV ad platforms, and measurement/attribution systems. Solid product-level understanding of AI/ML-driven systems, including model training, evaluation, deployment, and iteration (hands-on modelling not required). Working knowledge of AdTech-relevant technologies such as HTML/CSS, browser debugging, APIs, databases, and distributed systems (no coding required). Experience driving usability testing across web, mobile, and CTV applications and translating insights into measurable product improvements. Highly self-motivated, organized, and effective in navigating ambiguity while balancing speed, scale, and technical complexity. Strong ownership mindset with the ability to operate independently, drive alignment, and manage senior stakeholders in a high-growth startup environment.