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Research Program Manager - Research Infrastructure

Reflection· Technical Program Management
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New York, NY, San Francisco, CA, LondonFull-timePosted 5mo ago

About the role

Research Program Managers at Reflection embed with research and infrastructure teams to accelerate frontier model development, focusing on scaling research infrastructure for large-scale training runs and ensuring end-to-end operability and scalability across pre-training, mid-training, and post-training phases.

Responsibilities

  • Own cross-functional programs spanning training infrastructure and cluster reliability across pre-training, mid-training, and post-training workstreams.
  • Drive end-to-end coordination scaling our training stack alongside engineering leads and external partners.
  • Jump into active incidents and escalations to triage, coordinate response, and drive resolution across teams. Champion blameless post-mortems and continuous learning, turning incidents into concrete improvements to systems and processes.
  • Partner with infrastructure and research engineering leads to identify bottlenecks, define priorities, and ensure infrastructure investments tie to research velocity.
  • Build and maintain visibility into training run health, cluster reliability, and infrastructure performance so leadership and teams have context to make fast, informed decisions.
  • Create lightweight, durable processes for cross-team handoffs, config management, checkpoint workflows, and other coordination-heavy touchpoints that currently rely on ad hoc communication.
  • Translate technical complexity into clear status updates and decision frameworks for engineering leadership and executives.

Qualifications

  • 7+ years of experience in technical program management, research operations, or infrastructure coordination, ideally in ML/AI or large-scale distributed systems environments.
  • Deep technical knowledge to engage with engineers on distributed training frameworks, GPU cluster architecture, scheduler behavior, networking, and storage systems.
  • Proven ability to operate effectively in high-ambiguity, fast-moving environments; ability to create structure and drive clarity.
  • Track record of managing complex, multi-team programs with competing priorities and hard deadlines; ability to communicate tradeoffs clearly.
  • Strong stakeholder management across deeply technical individual contributors and senior leadership; reliable, direct, and well-informed communication.
  • Comfortable operating in crisis mode, prioritizing under pressure and following through after resolutions.
  • Excited to build from zero to one; influence how Research Program management works at Reflection.
  • Motivated by enabling researchers and engineers to build open-weight AI systems.

Skills

Required:Cross-functional program managementDistributed training frameworks knowledgeCluster reliability and infrastructure visibility

Benefits

  • Top-tier compensation: Salary and equity structured to recognize and retain talent globally.
  • Stock options: Everyone who joins and contributes to Reflection's success gains equity upside.
  • Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
  • Meals: Lunch and dinner provided in the office daily.
  • Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
  • Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
  • Sponsorship support: Visa sponsorship and long-term immigration pathways where applicable.
  • Team building: Regular off-sites, happy hours, and team celebrations.
Last updated Oct 1, 2026. Interested? Apply on the company site.

About Reflection

Building frontier open intelligence

Building frontier open intelligence.

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