ReflectionAI

Research Program Manager - Research Infrastructure

New York

H1B sponsorship availableDetected 82 days ago

Distributed SystemsMachine LearningStakeholder ManagementResearchLeadership

About the role

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.
When things go sideways, you don't wait to be asked.

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.
Partner with infrastructure and research engineering leads to identify bottlenecks, define priorities, and ensure that infrastructure investments are directly tied to research velocity.
Create lightweight, durable processes for cross-team handoffs, config management, checkpoint workflows, and other coordination-heavy touchpoints that currently rely on ad hoc communication.
Proven ability to operate effectively in high-ambiguity, fast-moving environments. You create structure where there is none and drive clarity without waiting for permission.
Strong stakeholder management skills across both deeply technical ICs and senior leadership. You build trust by being reliable, direct, and well-informed.
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.
Joining Reflection means building from the ground up as part of a talent-dense team.

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 topics like distributed training frameworks, GPU cluster architecture, scheduler behavior, networking, and storage systems.
You don't need to write the code, but you need to understand the systems to "speak the language", i.e., to ask the right questions and identify risks early.
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.
You know how to make tradeoffs and you communicate them clearly.
Strong stakeholder management skills across both deeply technical ICs and senior leadership.
Comfortable operating in crisis mode.

Salary and equity structured to recognize and retain our talent globally.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.

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.
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.

make intelligence open and accessible to all.
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.
Excited to build from zero to one. We are a small, fast-moving team and this role will help define how Research Program management Works at Reflection.

We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.

This listing is sourced directly from ReflectionAI's careers page and normalized into a canonical job model.