Technical Program Manager, MSL PAR

2 days ago

Menlo Park, California, United States Meta Full time
The Meta Technical Program Management (TPM) community is pioneering technologies to bring people (and businesses) closer together at a global scale. TPMs work at the cross-section between technical execution and business strategy and are expected to partner closely with Engineering and Product teams. Being a TPM at Meta means driving impact by delivering measurable results across a wide range of areas. You'll be responsible for defining and guiding high-level goals and roadmaps, monitoring and communicating progress, and defining functional requirements for new products and features. It also means having a deep technical background, understanding system architecture, and the experience to effectively collaborate across functions and organizations to deliver impact.

As a Technical Program Manager (TPM), for the Products and Applied Research (PAR) team, you will be responsible for delivering significant business value through ML innovations and development of state-of-the-art AI features and products. You will work with PAR Engineering and TBD Labs teams of talented ML engineers, scientists, product managers, data scientists, and other cross-functional team members to help evaluate models, build state of the art post-training and customization techniques, and build effective tools (and strategy) to streamline model productionization process while holding a high quality bar.

You'll communicate progress and drive program execution efficiently through cross-functional and cross-organizational 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.

Responsibilities
  • Develop and manage end-to-end technical AI/ML product solutions and ensure on-time delivery
  • Manage and own cross-functional products and programs execution in a matrix organization
  • Drive and influence technical and product strategy, proactively identify risks and develop mitigation strategies, align on priorities, and set direction for a broadly cross-functional area
  • 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
  • Move fast in a flat organization by working in concert with technical program managers, product managers and engineers across Meta to establish a shared vision for improving execution and building solutions
  • Ongoing communication of planning, project status, issues and risks in a timely fashion to stakeholders
  • Help drive product decisions to align with higher company initiative
Minimum Qualifications
  • B.S. in Computer Science or a related technical discipline, or equivalent experience
  • 10+ years of software engineering, systems engineering, hardware engineering, or technical product/program management experience
  • Experience driving and delivering complex AI/ ML tech programs or products from inception to delivery
  • Experience defining strategic direction and identifying new opportunities for impact amongst products, platforms and programs
  • Knowledge of user needs, gathering requirements, and defining scope
  • Experience operating autonomously across multiple teams and functions, demonstrated critical thinking, and thought leadership
  • Communication experience at executive level and experience influencing leadership and 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
Preferred Qualifications
  • Experience with shipping products that rely on large models (LLMs and VLMs)
  • Experience evaluating model performance online and offline
  • Experience working across modeling and product teams

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