3 months ago

Research Program Manager - Research Infrastructure

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Lead cross-functional programs to scale Reflection’s research infrastructure for frontier-scale training, ensuring end-to-end performance, rapid incident response, and alignment of research velocity with infrastructure investments in ML/AI distributed systems.

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Program & Project Management (PMO)

Key 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.
•Partner with infrastructure and research engineering leads to identify bottlenecks, define priorities, and ensure infrastructure investments are tied to research velocity.
•Build and maintain visibility into training run health, cluster reliability, and infrastructure performance for fast, informed leadership decisions.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsuranceDisability InsuranceParental LeaveRelocation

Key Requirements

•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 and create structure where there is none.
•Track record of managing complex, multi-team programs with competing priorities and hard deadlines.
•Strong stakeholder management across technical ICs and senior leadership.

Experience:7+ yearsML/AIDistributed systemsOpen-weight AI

Skills:CommunicationProblem-solvingLeadership

Tech Stack:MegatronDistributed trainingGPUCluster architectureSchedulerNetworkingStorage

Company Brief

Reflection AI

Builds frontier autonomous AI systems focused on autonomous coding agents (product: Asimov) to create organizational superintelligence, founded by former DeepMind/Google researchers and hiring across SF, NYC, London.

Industry: AI & Machine Learning

Company Size: Small (11 to 50 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: San Francisco, United States

Founded: 2024

Website LinkedIn Glassdoor

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Reflection AI

3 months ago

Research Program Manager - Research Infrastructure

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Program & Project Management (PMO)

Key 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.
•Partner with infrastructure and research engineering leads to identify bottlenecks, define priorities, and ensure infrastructure investments are tied to research velocity.
•Build and maintain visibility into training run health, cluster reliability, and infrastructure performance for fast, informed leadership decisions.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsuranceDisability InsuranceParental LeaveRelocation

Key Requirements

•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 and create structure where there is none.
•Track record of managing complex, multi-team programs with competing priorities and hard deadlines.
•Strong stakeholder management across technical ICs and senior leadership.

Experience:7+ yearsML/AIDistributed systemsOpen-weight AI

Skills:CommunicationProblem-solvingLeadership

Tech Stack:MegatronDistributed trainingGPUCluster architectureSchedulerNetworkingStorage

Company Brief

Reflection AI

Industry: AI & Machine Learning

Company Size: Small (11 to 50 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: San Francisco, United States

Founded: 2024

Website LinkedIn Glassdoor