Technical Product Manager

Role overview Senior product manager embedded with an ad tech industry client, focused on driving vision, strategy, and roadmap execution across the data and advertising ecosystem. The work centers on scalable architecture, robust data engineering pipelines, easy data consumption layers, and machine learning and AI applications that power measurable business outcomes. The role partners with cross-functional teams to take products from concept to launch.

Responsibilities - Define and own product vision, strategy, and roadmap for the ad tech ecosystem, balancing business priorities, user needs, and platform constraints. - Lead cross-functional delivery from concept through launch, providing clear direction and stakeholder updates throughout. - Manage the full software product lifecycle in Agile environments, including backlog health, sprint planning, and release readiness. - Support triage, troubleshooting, and bug resolution processes across data-heavy and API-first products. - Coordinate across global teams, maintaining composed and effective communication in a fast-paced environment. - Take ownership of initiatives proactively and execute effectively when priorities shift.

Requirements - Experience leading cross-functional software teams in Agile environments and managing the full product lifecycle. - Strong stakeholder management and relationship-building skills with excellent verbal and written communication. - Technical aptitude sufficient to collaborate effectively with engineering teams on data platforms. - Advanced English communication skills for working across global teams and stakeholders. - Strong problem-solving, analytical, and critical thinking abilities with solid planning and time management. - Comfort working in fast-paced, ambiguous environments with a collaborative mindset. - Bachelor's degree in Business Administration, Finance, Information Technology, or a related field is preferred.

Nice to have - Experience with data-heavy products, API-first solutions, or data-driven platforms. - Background in ad tech, data engineering, or applied machine learning environments.