Senior Product Manager - User Identity & Profiling

As a Senior Product Manager - Identity, Personalization & Data Platforms, you will lead the strategy, development, and execution of customer identity, profiling, and personalization capabilities across scalable digital platforms. You will own the end-to-end product lifecycle for data-driven platform initiatives focused on user intelligence, consent management, audience segmentation, and AI-powered personalization to drive engagement, monetization, and operational efficiency.

Your Skills and Experience:

- Bachelor's degree in Engineering, Computer Science, Business, or a related field.

- 7-10 years of Product Management experience across data platforms, customer identity systems, personalization engines, adtech/martech ecosystems, or scalable backend platform products within Agile/Scrum environments.

- Strong background in consumer internet, media/adtech, fintech, marketplaces, SaaS, or B2B2C platform businesses with exposure to high-scale user data and engagement systems.

- Demonstrated experience building and scaling customer profiling, audience segmentation, recommendation, or personalization capabilities with measurable impact on engagement, conversion, retention, or monetization metrics.

- Hands-on understanding of customer identity resolution, consent management, cross-device tracking, data governance, event-driven architectures, APIs, SDKs, and large-scale data pipelines.

Must-Have Requirements:

- Experience building and scaling customer identity, profiling, personalization, CDP, adtech, martech, or data platform products.

- Strong experience with APIs, SDKs, event-driven systems, backend integrations, data pipelines, and large-scale platform ecosystems.

- Strong systems-thinking mindset with the ability to design and optimize complex user data flows, identity resolution systems, and personalization architectures.

- Experience owning platform product roadmaps end-to-end, from problem discovery and PRD creation to launch, experimentation, and scale.

- Hands-on exposure to AI/ML-driven personalization, recommendation systems, contextual targeting, audience segmentation, or GenAI-powered platform capabilities.

- Strong understanding of user consent management, privacy frameworks (GDPR/CCPA), data governance, tracking systems, and scalable identity management workflows.

- Strong stakeholder management and cross-functional collaboration skills across Engineering, Data Science, Analytics, Business, Legal, and Operations teams.

- Excellent communication skills with the ability to translate complex technical and data platform concepts into clear business outcomes and measurable impact metrics.