Product Manager (Engineering Department)

Job Responsibilities :
Take on global Streaming audience onboarding integrations and syndication, develop future plans and build audience roadmap for data products and capabilities aligned to organizational and business goals
Build relationships with key technology and business teams, vendors to ensure success across APAC, EU and LATAM countries
Partner with Analytics, Data Science, Data Engineering, Data Architecture, Data Quality & Governance, Product Design, and Technical Program Management team members to develop, test, and deliver high audience insights products and features
Lead and drive teams on all business readiness activities, including product planning, sequencing, testing, user education, rollout, iteration, and support
Develop detailed product specifications, user stories, acceptance criteria, and success measures
Ability to identify risks, resolve key blockers, and establish appropriate resolution paths
Ability to fill in gaps across roles and functions as needed, performing as an adaptive problem solver
Ability to champion a collaborative work environment that cultivates shared understanding, transparency, autonomy, innovation, and continuous learning
Must Have :
Minimum of 3+ yrs in product management experience with building and delivering successful data products and capabilities
Knowledge and experience with audience segments generation, marketing campaign management and systems is critical (Facebook, Google integrations, Ad campaign management, Identity & User matching methods, web tagging, mobile SDKs & ID tracking, etc.)
Experience working with different identity models, leveraging varying signals to improve User matching cross domain
Experience with leveraging data to generate Audience Insights to support Marketing campaign planning
Planning acumen and proven ability to break down work and define an MVP, as well as subsequent iterations
Highly analytical and collaborative qualities with strong technical, strategic and problem-solving skills
Experience and comfort solving problems in an ambiguous environment where there is constant change. Have the tenacity to thrive in a dynamic and fast-paced environment, inspire change, and collaborate with a variety of individuals and organizational partners
Experience demonstrating leadership, self-motivation, accountability, and a standout colleague
Managing large scale implementation of data sets including – data ingestion, integration and reporting tools experience

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