Monetization ML Experimentation TPM

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Monetization ML Experimentation TPM
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London, United Kingdom
Are you passionate about working on technical product foundations that are long term and cut across product groups while helping those around you be more effective? Do you think about technology and data as a way to increase efficiency and change how a business operates? We are looking for candidates that share our passion for tackling complexity head-on to help build complex technical systems and platforms that can scale through multiple orders of magnitude. As a Technical Program Manager (TPM), for the Monetization Experimentation Platform, you will be evolving the ML Experimentation platform, increasing predictability and reliability of ML experiments. You will work with Infra and Ranking teams of talented engineers, product managers, data scientists, and other cross-functional team members to build easy-to-use and effective machine learning experiments while holding a high quality bar for the ads businesses rely on us to deliver across our Family of Apps. We are looking for experienced technical leaders who can support complex, multi-platform development efforts at consumer scale while maintaining clarity of product and technical strategy, and organisational awareness. As a TPM, you'll commit to hands-on learning of the team's technology in depth, breaking down product requirements into engineering milestones and leading the team to predictably deliver critical goals. You will be the key advocate for ML performance and reliability within the team - identify potential issues and challenges related to model performance, data quality, and experiment design. Devise strategies to mitigate these challenges and maintain a high standard of reliability in all experiments. Also, proactively identify risks associated with ML performance and reliability and formulate contingency plans to address potential issues that may arise during experiments. You’ll communicate progress and drive program execution efficiently through cross-functional and cross-organisational collaboration to achieve business goals. You’ll be an integral part of the team who will drive technical strategy, system architectural discussions, and make future-proof decisions that align with product strategy and vision.
Monetization ML Experimentation TPM Responsibilities
  • Lead ads revenue and ads experimentation quality initiatives while working closely with diverse teams across the organisation and around the world.
  • Manage cross-functional software engineering programs in a matrix organisation covering a range of areas.
  • Identify and break down complex business problems into solvable pieces that can be shipped iteratively.
  • Develop and manage end-to-end project plans and ensure on-time delivery.
  • Balance the business needs with technical constraints by building deep subject matter expertise for your area.
  • Proactively identify inefficiencies that are holding the team back, and drive better, more efficient workflows.
  • Interface with Engineering and cross-functional business owners for defining requirements and scope.
  • Help drive product decisions to align with company-level initiatives.
Minimum Qualifications
  • B.S. in Computer Science or a related technical discipline, or equivalent experience.
  • Hands-on experience in software engineering, systems engineering, hardware engineering, or technical product/program management.
  • Hands-on experience in improving and measuring revenue or optimising for ad engagement.
  • Demonstrated 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 representing work to senior leadership and framing discussions to gain valuable feedback and experience working with technical management teams to develop systems, solutions, and products.
  • Organisational, coordination, and multi-tasking experience.
  • Analytical and problem-solving experience with large-scale systems.
  • Experience establishing complex work relationships across multi-disciplinary teams and multiple partners in different time zones.
Preferred Qualifications
  • Experience in AI/ML Technologies
  • Experience in Experimentation Platform
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
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