Senior Level Research Program Manager Jobs
Senior level research program manager jobs place experienced professionals in charge of setting research direction, owning program outcomes, and leading the cross-functional teams that execute complex initiatives. Roles are concentrated in Technology & Software, Investment & Asset Management, and Education, with a mix of on-site, remote, and hybrid opportunities, and employers like REFLECTION, Invesco, and Reflection hiring at this level now.
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Our Mission
Reflection’s mission is to build open superintelligence and make it accessible to all. We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.
About The Role
Research Program Managers at Reflection are high-leverage leaders and operators who embed directly with research and engineering 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 is embedded directly within our Pre-training ML and Data teams, working alongside our Pre-training research leads at the core of how we build frontier models. You will be deeply involved in the research lifecycle, from data pipeline coordination and experiment planning to model architecture decisions and scaling strategies. Your job is to understand how our researchers work, identify the highest-leverage gaps, and build the programs, processes, and coordination structures that let them focus on pushing the frontier rather than navigating organizational complexity. 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.
- 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.
- Act as the connective tissue between pre-training, mid-training, post-training, and infrastructure teams, ensuring that upstream decisions propagate cleanly and downstream teams are never surprised.
About You
- 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 enough technically to engage with researchers on topics like model architecture, scaling laws, data processing pipelines, training dynamics, and optimizer behavior. You don't need to run the experiments yourself, but you need to follow the reasoning and spot risks early in order to discuss tradeoffs.
- Proven ability to embed within technical teams and earn trust through competence, reliability, and genuine curiosity about the work. Researchers want to work with you because you make them faster, not because the process says they have to.
- Resourceful and high-agency. You navigate ambiguity and shifting priorities without losing momentum. You figure out what needs to happen and you make it happen.
- Strong stakeholder management skills with the ability to influence senior technical staff through consistent delivery and well-informed judgment, not authority.
- Comfortable in high-stakes environments where decisions impact model quality, compute spend, and training timelines measured in weeks or months.
- 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.
- Motivated by enabling researchers and engineers to build the world's most capable open-weight AI systems.
What We Offer
We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models. We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
- Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.
- Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.
- Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.
- Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time.
- Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.
Our Mission
Reflection’s mission is to build open superintelligence and make it accessible to all. We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.
About The Role
Research Program Managers at Reflection are high-leverage leaders and operators who embed directly with research and engineering 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 is embedded directly within our Pre-training ML and Data teams, working alongside our Pre-training research leads at the core of how we build frontier models. You will be deeply involved in the research lifecycle, from data pipeline coordination and experiment planning to model architecture decisions and scaling strategies. Your job is to understand how our researchers work, identify the highest-leverage gaps, and build the programs, processes, and coordination structures that let them focus on pushing the frontier rather than navigating organizational complexity. 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.
- 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.
- Act as the connective tissue between pre-training, mid-training, post-training, and infrastructure teams, ensuring that upstream decisions propagate cleanly and downstream teams are never surprised.
About You
- 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 enough technically to engage with researchers on topics like model architecture, scaling laws, data processing pipelines, training dynamics, and optimizer behavior. You don't need to run the experiments yourself, but you need to follow the reasoning and spot risks early in order to discuss tradeoffs.
- Proven ability to embed within technical teams and earn trust through competence, reliability, and genuine curiosity about the work. Researchers want to work with you because you make them faster, not because the process says they have to.
- Resourceful and high-agency. You navigate ambiguity and shifting priorities without losing momentum. You figure out what needs to happen and you make it happen.
- Strong stakeholder management skills with the ability to influence senior technical staff through consistent delivery and well-informed judgment, not authority.
- Comfortable in high-stakes environments where decisions impact model quality, compute spend, and training timelines measured in weeks or months.
- 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.
- Motivated by enabling researchers and engineers to build the world's most capable open-weight AI systems.
What We Offer
We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models. We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
- Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.
- Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.
- Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.
- Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time.
- Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.
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Top Industries Hiring
- Technology & Software
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- Education
Senior Level Research Program Manager Jobs: Frequently Asked Questions
How do I get a senior level research program manager job?
Employers at this level look for candidates who have independently owned large, multi-stakeholder research programs from design through delivery. A strong edge comes from demonstrated experience translating research findings into strategic decisions, managing budgets and cross-functional teams, and influencing direction at the organizational level. Tailoring your resume to show program-wide impact, not just task execution, is what moves applications forward.
Which companies hire senior level research program managers?
Companies hiring senior level research program managers right now include REFLECTION, Invesco, and Reflection, based on current listings on Migrate Mate as of November 2026. Hiring at this level tends to come from large research-intensive organizations, including technology companies, healthcare systems, academic medical centers, and government contractors with active R&D programs.
Are there remote senior level research program manager jobs?
Yes, though availability varies by employer and program type. About 0% of senior level research program manager openings are remote or hybrid as of November 2026, reflecting strong demand from organizations that have built distributed research operations. Fully on-site roles remain common in clinical research, laboratory settings, and federal or government-adjacent programs.
What makes a research program manager role senior level?
Senior level roles are defined by scope and ownership. Where mid-level program managers execute within defined parameters, senior professionals set those parameters, manage program portfolios rather than individual projects, and are accountable for strategic outcomes. They mentor junior staff, represent research programs to executive stakeholders, resolve ambiguity without escalation, and often shape institutional research priorities directly.
Which industries hire the most senior level research program managers?
Senior Level research program manager roles concentrate in Technology & Software, Investment & Asset Management, and Education, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring because they operate large, ongoing research portfolios that require experienced professionals to manage complexity, compliance requirements, and coordination across scientific, technical, and business functions.