Director, Product (mCanvas CTV)

<div><strong>About Affinity</strong></div><div>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.</div><h2 style="margin:0cm;"><br></h2><div><strong>Role:&nbsp;</strong>Director, Product&nbsp;</div><p style="margin:0cm;"><strong>Location:</strong> Mumbai (Malad)</p><p style="margin:0cm;"><strong>Product:</strong> mCanvas</p><div align="center" style="text-align:center;"><hr align="center"></div><p><strong><br><u>Roles &amp; Responsibilities:&nbsp;</u></strong></p><ul><li>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.<br>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</li><li>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.</li><li>Lead strategic collaboration to improve advertiser and publisher outcomes, accelerate adoption, and deliver measurable revenue growth.</li><li>Apply strong ecosystem judgment by balancing the needs of advertisers, agencies, publishers, OEMs, SSPs, data partners, and internal stakeholders in product decisions.</li><li><strong>Drive competitive and ecosystem intelligence</strong> by tracking customer needs, CTV/AdTech trends, privacy and identity shifts, and partnerships—translating insights into differentiated features, performance gains, and strong product positioning.</li><li><strong>Lead product discovery and validation</strong><strong>&nbsp;</strong>through market research, feasibility analysis, and solution evaluation, driving iterative improvements across CTV inventory, targeting, bidding, and measurement.</li><li>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.</li><li>Strong domain expertise in CTV, programmatic and performance marketing, including DSP/SSP/DMP platforms, audience onboarding, identity resolution, inventory forecasting, bidding strategies, and attribution.</li><li>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.</li></ul><p><br></p><div align="center" style="text-align:center;"><hr align="center"></div><p><strong><u>Required Skills &amp; Experience:&nbsp;</u></strong></p><ul><li>Strong ownership mindset with the ability to operate independently, drive alignment, and manage senior stakeholders in a high-growth startup environment.</li><li>Bachelor’s degree in Computer Science, Engineering, or a related field; MBA from a top-tier institute preferred.</li><li>8+ years of Product Management experience in AdTech/MarTech, delivering complex web, mobile, data-driven, and CTV products.</li><li>Proven experience leading and mentoring Product Managers and/or Product Analysts.</li><li>Strong track record building and scaling B2B / Enterprise SaaS products, preferably within AdTech, MarTech, or data platforms.</li><li>Deep familiarity with programmatic advertising ecosystems, including DSPs, SSPs, DMPs, CTV ad platforms, and measurement/attribution systems.</li><li>Solid product-level understanding of AI/ML-driven systems, including model training, evaluation, deployment, and iteration (hands-on modelling not required).</li><li>Working knowledge of AdTech-relevant technologies such as HTML/CSS, browser debugging, APIs, databases, and distributed systems (no coding required).</li><li>Experience driving usability testing across web, mobile, and CTV applications and translating insights into measurable product improvements.</li><li>Highly self-motivated, organized, and effective in navigating ambiguity while balancing speed, scale, and technical complexity.</li></ul>