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.
Skills
What companies are looking for in this role.
Leading and mentoring research teams to drive innovation and scientific rigor
Defining and executing research roadmaps aligned with business strategy and product delivery
Translating frontier research into production-ready systems and scalable solutions
Building and scaling machine learning models for specific scientific or engineering domains
Cross-functional collaboration with engineering, product, and business stakeholders
Hiring world-class research talent and building high-performance teams
Evaluating and advancing state-of-the-art algorithms and methodologies
Managing research projects from conception through validation to deployment
Hands-on technical contribution and code implementation in core research areas
Designing and executing experiments to validate scientific hypotheses
Establishing technical culture and setting standards for quality and execution
Conducting literature review and staying informed about research breakthroughs
Communicating complex technical research through publications and presentations
Developing and optimizing large-scale model training and inference systems
Applying reinforcement learning and advanced fine-tuning techniques for model alignment
Building generative AI models for drug discovery and molecular design
Developing data-centric approaches to improve model training and evaluation
Designing world models and embodied AI systems for robotics applications
Conducting stakeholder management and external relationship building
Fostering a collaborative culture of experimentation and continuous learning
Communicating technical vision and strategy to diverse audiences
Mentoring junior researchers and supporting professional development
Navigating ambiguity and managing shifting priorities in fast-paced environments
Building partnerships with academic institutions and external collaborators
Translating customer needs and business problems into research initiatives
Technology
The tools and technologies that define this role.
Open Jobs
27 open Research Management jobs across 19 companies.
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