Senior Manager, Applied Science
Core
Lead the applied science organization to define and execute the research agenda for measuring, evaluating, and improving AI agents and human-AI teams within enterprise computing environments.
Role type
Senior Manager, Applied Science (Strategy & Team Leadership)
Builds
Production evaluation systems, benchmarks, and learning mechanisms for AI agents at massive scale
Domain
Enterprise AI, Human-AI Collaboration, Agent Reliability, Organizational Intelligence
Deliverable
production ML models | research | dashboards & analysis
Required skills
Strategic research direction, team building and talent calibration, defining scientific rigor and metrics, cross-functional alignment with product/engineering, translating research to business impact, stakeholder management at VP level
Preferred skills
Experience in agent perception/reasoning, organizational intelligence, AI observability, open-source contributions
Technologies
MCP (Model Context Protocol), AWS Bedrock, enterprise security frameworks
Responsibilities
Define the long-term scientific vision and multi-year roadmap for agent performance and evaluation; Hire, develop, and retain high-caliber applied scientists; Direct research on novel problems like agent tool use and workflow learning; Partner with engineering to move evaluation systems to production; Represent science in org-level planning and customer engagements; Establish standards for experimentation and reproducibility.
Seniority
Senior Manager, hands-on strategy & mentorship
