Research Management
Research managers in this role oversee teams developing AI solutions for complex scientific and technical challenges, from drug discovery and autonomous systems to model evaluation and safety research. They balance hands-on technical leadership with strategic planning, setting research directions and priorities while mentoring scientists and engineers through exploratory work. What distinguishes these leaders is their ability to translate frontier AI research into measurable outcomes—whether that's evaluating model capabilities, optimizing machine learning pipelines, building new evaluation frameworks, or steering teams toward products that solve real customer problems. They typically operate within specialized research functions nested within larger product or engineering organizations, working cross-functionally to ensure research breakthroughs integrate into platforms and services that matter.
Measured across 25 of 25 open postings.
This role is advertised at one level, so a single figure for the role would describe none of them. Experience and pay are the midpoints for each level on its own.
| Level | Share | Median years | Median pay |
|---|---|---|---|
| Manager | 40%(10) | 4 | — |
A dash means too few postings stated it to report a midpoint. Most companies do not publish a salary band, so pay is indicative rather than a market rate. 4 levels with fewer than 10 open postings are not shown.
“Coding Fellows create high-quality technical content used to train and evaluate AI systems”
“5+ years of industry experience building machine-learning systems involving language models, speech, agents, or model infrastructure”
“using and contributing to the optimisation of state-of-the-art computational and AI ADME models”
“you will keep enough technical depth to review an eval design, interrogate a classifier's failure modes”
Skills
What companies are looking for in this role.
Research experiment design
Drug discovery science
ML systems development
Research-to-production translation
Large-scale model training
Post-training and alignment methods
Manager and leadership development
Research synthesis and insight
Statistical modeling and uncertainty
Model behavior analysis
Predictive modeling and forecasting
AI for scientific discovery
AI evaluation design
Agentic system research
Frontier AI research
Inference performance optimization
AI capability positioning
Research leadership and strategy
Technical team leadership and mentoring
Cross-functional collaboration
Technical communication
Research rigor and reproducibility
Change management
Executive communication and storytelling
Technology
The tools and technologies that define this role.
Open Jobs
25 open Research Management jobs across 17 companies.
Other Research & Science roles
Scientists conducting original research to advance the state of the art in AI, machine learning, and related fields.
Engineers who build the systems, tools, and infrastructure that enable research.
Researchers and engineers doing core model development at AI labs: pre-training, mid- and post-training, reinforcement learning, training data, and model behaviour — the work most often titled "Member of Technical Staff" or "Researcher, Training".
Scientists who apply machine learning techniques to solve specific product or domain problems.
Scientists working in chemistry, biology, physics, pharmacology, and other physical or life sciences.