Skip to contentTechnical Program Manager – RL Developer Infrastructure
| Company | Meta |
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| Location | Burlingame, CA, USA |
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| Salary | $134000 – $196000 |
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| Type | Full-Time |
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| Degrees | Bachelor’s |
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| Experience Level | Senior, Expert or higher |
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Requirements
- 7+ years of software engineering, systems engineering, hardware engineering, or technical product/program management experience.
- B.S. in Computer Science or a related technical discipline, or equivalent experience.
- Experience leading technology investments across multiple products or product families from innovation to delivery.
- Proven communicator who can translate high-level goals into tangible action plans, and vice-versa and communicating with technical and non-technical stakeholders.
- Analytical and problem-solving experience with large-scale developer environment systems.
- Experience with working in a fast-paced and dynamic environment.
- AI/ML experience
Responsibilities
- Drive cross-org and portfolio partners to own and execute several large-scale workstreams to meet goals, building partnerships with managers and engineers across infrastructure and product teams.
- Bootstrap programs in ambiguous areas, requires managing multiple cross org or cross company interdependencies.
- Monitor and report on program progress, including risks and issues, and take necessary actions to mitigate them.
- Demonstrate end-to-end ownership and thought leadership across multiple organizations and influence strategic direction impacting long term plans for critical infrastructure challenges in collaboration with engineering leaders and stakeholders.
- Resolve conflicts, maintain clarity on priorities and drive progress on execution.
- Effective at resolving intra org issues and escalating / driving solutions to cross-org issues.
- Drive technical expertise within the team, coordinating and contributing to engineering deliverables including architectural diagrams, specifications, and launch criteria.
- Collaborate with cross-functional teams to drive technical analysis, design, development, testing, implementation, and post-implementation phases.
Preferred Qualifications
- Background in one or more of the following areas: computer architecture, system performance optimization, generative AI, and large distributed systems, with an understanding of how these technologies integrate to drive efficient, scalable solutions.
