Research Operations Manager (Science Systems & Operations)

About This Opportunity

We are representing a confidential AI organization seeking a Research Operations Manager to build and operate the shared systems that enable their science teams to move fast at scale. This role sits at the platform layer—owning the compute, data, access, vendor, and tooling systems that serve every research team. You'll design clean systems, automate processes, and ensure researchers spend their time on science rather than infrastructure overhead.

Our client is looking for someone genuinely excited by problems at scale—someone who sees a manual process and immediately thinks about automation. You should be fluent with modern coding tools, comfortable building your own dashboards, scripts, and integrations to multiply your leverage, and enjoy making complex systems feel simple to end users.

Responsibilities

• Build and operate shared infrastructure that lets research run smoothly—resource systems, data systems, tooling, and observability
• Design the operational layer that allows science to scale without drag
• Use modern coding tools to build internal automations including dashboards, integrations, self-service tooling, and alerts
• Own the operational side of growing the science organization—interview logistics, leveling consistency, and onboarding experience
• Ensure every new hire is productive from day one
• Partner with Finance, Legal, Security, and Engineering teams on systems where science intersects with the rest of the organization
• Translate technical work into clear, well-timed updates for leadership and adjacent teams

What We're Looking For

• 4+ years of experience in research operations, technical operations, infrastructure program management, or comparable systems-oriented role
• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience
• Strong systems thinking—you naturally see processes, dependencies, and leverage points
• Demonstrated ability to build your own tools and automations using modern coding assistants
• Comfortable with scripting, APIs, and lightweight data work
• Experience working with infrastructure, cloud systems, or vendor management at scale
• Strong written communication skills with ability to design clear operational processes
• Experience in research-heavy or ML/AI organizations (nice to have)
• Background in platform engineering, site reliability, or infrastructure operations (nice to have)
• Track record of turning ambiguous spaces into well-designed systems that compound over time (nice to have)

How We Work With You

When you apply through Get A Job.ai, our talent team will review your profile and conduct an initial screening. If there's a strong match, we'll submit your candidacy to our client for consideration. Please do not contact the client directly—all communication and coordination will flow through our recruiting team to ensure the best experience for everyone involved.

Pay

Compensation details will be discussed during the screening process based on experience and qualifications.

Equal Opportunity: Get A Job.ai is committed to inclusive hiring practices. We welcome candidates from all backgrounds and work to ensure fair consideration throughout our recruitment process.