QualificationsRequirements gatheringSystem architectureProduct managementNatural language processingMachine learningBachelor’s degree
Product Technical Program Manager, AI/ML Responsibilities:
Develop and manage end-to-end technical product solutions and ensure on-time delivery.
Manage cross-functional products and programs in a matrix organization.
Help define the roadmap and long-term strategy of the teams that you are working with.
Design measurements to track impact and drive internal process improvements.
Articulate the technology, requirements, goals and milestones of your team.
Collaboratively define the vision for building Meta-scale, state-of-the-art, global products.
Develop and manage end-to-end project plans to ensure on-time delivery, provide day-to-day coordination, and quality assurance for tasks.
Identify dependencies and develop mitigation strategies.
Move fast in a flat organization by working in concert with technical program managers and engineers across Meta to establish a shared vision for improving execution and build solutions for privacy and security at scale.
Ongoing communication of planning, project status, issues and risks in a timely fashion to stakeholders.
Build bridges with product and infrastructure teams to discover adoption challenges, champion purpose use development and privacy/security product adoption.
Help drive product decisions to align with higher company initiative.
Bring a strong sense of execution and ownership to the team.
Owning the execution of or applying machine learning (ML)/artificial intelligence technologies such as computer vision, NLP, speech/audio, or personalization.
Bachelor of Computer Science or a related technical discipline, or equivalent experience.
7+ years of software engineering, systems engineering, hardware engineering, or technical product/program management experience.
Experience delivering tech programs or products from inception to delivery.
Knowledge of user needs, gathering requirements, and defining scope.
Experience operating autonomously across multiple teams, demonstrated critical thinking, and thought leadership.
Communication experience and experience working with technical management teams to develop systems, solutions, and products.
Organizational, coordination and multi-tasking experience.
Analytical and problem-solving experience with large-scale systems.
Experience establishing work relationships across multi-disciplinary teams and multiple partners in different time zones.
Experience developing or working directly on various aspects of large-scale ML/AI platforms such as dataset generation, feature development, model testing and resource management to support the development of AI-powered product experiences such as NLP, computer-vision, ranking and personalization.
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