Principal Applied Science Manager Excel Team
Job Location:
Redmond, WA - USA
Yearly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
Microsoft Excel is seeking a Principal Applied Science Manager to lead the science organization advancing agentic AI experiences in Excel. This leader will shape the scientific direction evaluation strategy and release readiness of AI agents that help millions of people complete complex spreadsheet tasks from data analysis to model building.
The role combines people leadership with deep technical ownership and direct product impact. You will translate frontier AI research into reliable product capabilities lead frontier model and agent evaluation and implement evidence-based improvements across quality latency reliability safety and cost. You will partner closely with engineering product design centralized evaluation teams other Microsoft AI organizations and foundation-model providers.
In the first year you will establish a clear Excel Agent science strategy strengthen model and release-readiness decisions improve the representativeness and reliability of evaluation systems accelerate the conversion of research into shipped customer value and build a resilient organization with clear ownership across critical research and quality workstreams.
Microsofts mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect integrity and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
Lead grow and mentor a multidisciplinary team of researchers and applied scientists.
Set the research and applied-science strategy for agentic AI in Excel.
Drive scientific direction for agent architecture model and tool selection prompts skills planning and human-agent collaboration.
Define how agent quality is measured through representative benchmarks graders regression suites and multi-turn evaluations.
Establish release-readiness criteria for new models and agent capabilities.
Lead evaluation and integration of frontier foundation models balancing quality latency reliability safety capacity and cost.
Diagnose agent failures using trajectory analysis experimentation and customer-representative scenarios.
Translate research prototypes into production-ready capabilities in partnership with engineering product management and design.
Build effective operating mechanisms for model comparisons quality reviews research sharing and technical decision-making.
Develop strong partnerships with internal model teams research organizations and external AI laboratories.
Communicate technical findings and recommendations to senior leadership.
Support external research engagement through publications patents workshops and conferences.
Recruit onboard and develop research talent while establishing durable technical leadership across the team.
Qualifications
Required Qualifications:
- Bachelors Degree in Statistics Econometrics Computer Science Electrical or Computer Engineering or related field AND 8 years related experience (e.g. statistics predictive analytics research)
- OR Masters Degree in Statistics Econometrics Computer Science Electrical or Computer Engineering or related field AND 6 years related experience (e.g. statistics predictive analytics research)
- OR Doctorate in Statistics Econometrics Computer Science Electrical or Computer Engineering or related field AND 5 years related experience (e.g. statistics predictive analytics research)
- OR equivalent experience.
- 3 years of people management experience.
Preferred Qualifications:
- Advanced degree in Computer Science AI Machine Learning HCI Software Engineering or equivalent experience.
- Experience leading research and applied science teams focused on LLMs AI agents and production AI systems.
- Deep knowledge in LLM evaluation benchmarking experimentation failure analysis and model quality.
- Demonstrated technical judgment across agent architectures prompting tooling reliability safety latency and cost.
- Track record of translating research innovations into large-scale commercial products.
- Experience leading cross-functional initiatives spanning research engineering product and design while influencing decisions through data and experimentation.
- Experience building and evaluating AI agents model optimization evaluation infrastructure and enterprise productivity applications with recognized technical contributions and strong executive communication skills.
#OPG #OPGHiring
Applied Sciences M6 - The typical base pay range for this role across the U.S. is USD $165600 - $296400 per year. There is a different range applicable to specific work locations within the San Francisco Bay area and New York City metropolitan area and the base pay range for this role in those locations is USD $220800 - $331200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
position will be open for a minimum of 5 days with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age ancestry citizenship color family or medical care leave gender identity or expression genetic information immigration status marital status medical condition national origin physical or mental disability political affiliation protected veteran or military status race ethnicity religion sex (including pregnancy) sexual orientation or any other characteristic protected by applicable local laws regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process read more about requesting accommodations.
Required Experience:
Manager
