Research Program Manager - Research Infrastructure

Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all. Research Program Managers at Reflection are high-leverage leaders and operators who embed directly with research and infrastructure teams to accelerate the pace of frontier model development. They are not project trackers. They are force multipliers who bring clarity to ambiguity, drive decisions when the path forward is unclear, and ensure that the work happening across multiple teams connects into a coherent whole. This role focuses on scaling our research infrastructure to support massive, frontier-scale training runs across pre-training, mid-training, and post-training. You will work closely with teams building on training libraries like Megatron, driving the programs that turn raw clusters into reliable, high-performance training environments. Your job is to make sure the infrastructure we build works end-to-end, that teams are unblocked, and that we can scale with confidence as our ambitions grow. You bring a first-responder mentality. When things go sideways, you don't wait to be asked. You jump in, assess the situation, cut through noise, align the people who need to be aligned, and drive resolution.

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 a culture of blameless post-mortems and continuous learning, turning every incident into a concrete improvement to our systems and processes; Partner with infrastructure and research engineering leads to identify bottlenecks, define priorities, and ensure that infrastructure investments are directly tied to research velocity; Build and maintain visibility into training run health, cluster reliability, and infrastructure performance so that leadership and teams have the context they need 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

Requirements

7+ years of experience in technical program management, research operations, or infrastructure coordination; Deep technical knowledge to engage with engineers on topics like distributed training frameworks, GPU cluster architecture, scheduler behavior, networking, and storage systems; Proven ability to operate effectively in high-ambiguity, fast-moving environments; Track record of managing complex, multi-team programs with competing priorities and hard deadlines; Strong stakeholder management skills across both deeply technical ICs and senior leadership; Comfortable operating in crisis mode; Excited to build from zero to one; Motivated by enabling researchers and engineers to build the world's most capable open-weight AI systems

Nice to have

Experience in ML/AI or large-scale distributed systems environments

Benefits

Top-tier compensation: Salary and equity structured to recognize and retain our talent globally; Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options; Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance; Meals: Lunch and dinner are 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: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable; Team building: We have regular off-sites, happy hours, and team celebrations