3 months ago

Research Program Manager - Model Development

✓ 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

Embedded within the pre-training ML and data teams, the role drives cross-team research initiatives, coordinates experimental pipelines, and builds lightweight processes to accelerate frontier model development. You will partner with researchers to clarify tradeoffs, align stakeholders, and ensure research milestones are translated into durable operational systems, enabling rapid progress in open-weight AI models.

Location: New York

Workplace: Onsite

Employment Type: Full time

Job Function: Program & Project Management (PMO)

Key Responsibilities

•Embed within the pre-training ML and Data teams to deeply understand the technical landscape, build trust with researchers and technical leads, and identify where programs and process can have the most impact on research velocity.
•Drive end-to-end execution of complex, cross-team research initiatives that span data, model architecture, training runs, and evaluation, often without established playbooks.
•Coordinate the operational rhythm of pre-training research, including experiment prioritization, run scheduling, data readiness, and checkpoint handoffs to downstream teams.
•Equip research leadership to make decisions quickly by going deep on technical tradeoffs and presenting clear, actionable recommendations rather than status updates.
•Build lightweight processes that bring structure to unstructured research environments without adding friction. Create coordination mechanisms for cross-team handoffs, config management, and research milestones that replace ad hoc Slack threads with durable, visible systems.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsuranceDisability InsuranceRelocationPaid Leave

Key Requirements

•7+ years of experience in technical program management, research operations, or ML engineering, with a track record of building programs from scratch in research or ML-heavy environments.
•Deep technical ability to engage with researchers on topics like model architecture, scaling laws, data processing pipelines, training dynamics, and optimizer behavior.
•Proven ability to embed within technical teams and earn trust through competence and reliability.
•Resourceful and high-agency—navigate ambiguity and shifting priorities to deliver.
•Strong stakeholder management skills with the ability to influence senior technical staff through consistent delivery and well-informed judgment.

Experience:7+ yearsMachine learningResearch operations

Skills:CommunicationProblem-solvingStakeholder management

Languages:English

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

Loading job details...

Preparing the role view and application actions.

Reflection AI

3 months ago

Research Program Manager - Model Development

✓ 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: New York

Workplace: Onsite

Employment Type: Full time

Job Function: Program & Project Management (PMO)

Key Responsibilities

•Embed within the pre-training ML and Data teams to deeply understand the technical landscape, build trust with researchers and technical leads, and identify where programs and process can have the most impact on research velocity.
•Drive end-to-end execution of complex, cross-team research initiatives that span data, model architecture, training runs, and evaluation, often without established playbooks.
•Coordinate the operational rhythm of pre-training research, including experiment prioritization, run scheduling, data readiness, and checkpoint handoffs to downstream teams.
•Equip research leadership to make decisions quickly by going deep on technical tradeoffs and presenting clear, actionable recommendations rather than status updates.
•Build lightweight processes that bring structure to unstructured research environments without adding friction. Create coordination mechanisms for cross-team handoffs, config management, and research milestones that replace ad hoc Slack threads with durable, visible systems.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsuranceDisability InsuranceRelocationPaid Leave

Key Requirements

•7+ years of experience in technical program management, research operations, or ML engineering, with a track record of building programs from scratch in research or ML-heavy environments.
•Deep technical ability to engage with researchers on topics like model architecture, scaling laws, data processing pipelines, training dynamics, and optimizer behavior.
•Proven ability to embed within technical teams and earn trust through competence and reliability.
•Resourceful and high-agency—navigate ambiguity and shifting priorities to deliver.
•Strong stakeholder management skills with the ability to influence senior technical staff through consistent delivery and well-informed judgment.

Experience:7+ yearsMachine learningResearch operations

Skills:CommunicationProblem-solvingStakeholder management

Languages:English

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