Principal Applied Science Manager - Excel Team
Core
Lead a multidisciplinary team of researchers and applied scientists to set the research and applied-science strategy for agentic AI in Excel, driving scientific direction for agent architecture, model selection, and human-agent collaboration.
Role type
Principal Applied Science Manager (Agentic AI)
Builds
Agentic AI capabilities within Excel, including agent architecture, model integration, and production-ready features.
Domain
Enterprise productivity software (Excel) + Artificial Intelligence (LLMs, AI Agents)
Deliverable
production ML models
Required skills
Team leadership and mentorship, research strategy definition, agent architecture design, LLM evaluation and benchmarking, failure diagnosis via trajectory analysis, model integration, cross-functional collaboration, technical decision-making, executive communication, talent acquisition and development.
Preferred skills
Experience with frontier foundation models, knowledge of safety and reliability in AI systems, track record of translating research to commercial products, experience with enterprise productivity applications.
Technologies
LLMs, AI agents, foundation models, evaluation benchmarks, regression suites, multi-turn evaluation frameworks.
Responsibilities
Set research strategy for agentic AI in Excel, define agent quality metrics and evaluation criteria, lead integration of frontier models, diagnose agent failures, translate research prototypes to production, build operating mechanisms for technical decision-making, communicate findings to senior leadership, recruit and develop research talent.
Seniority
Principal, hands-on IC with strategic leadership
