Principal Research Manager

Microsoft Microsoft · Big Tech · Redmond, WA +1 · UX Research

Principal Research Manager to lead AI research strategy and execution for Microsoft's Commercial Engineering & AI (CEAI) division, focusing on transforming commercial business with AI-native engineering and intelligent systems. The role involves managing a research team, driving AI UX innovation, and ensuring research directly informs product development and delivers measurable impact for users and the business.

What you'd actually do

  1. Define and communicate a compelling vision for research that aligns with Microsoft’s broader goals. Translate strategy into actionable plans for your team.
  2. Define and drive short- and long-term research strategies that inform product direction, identify new opportunities, and deliver value to customers at speed. Champion research perspectives and advocate for the role of research in shaping product outcomes.
  3. Attract, hire, and inspire top research talent. Foster an inclusive environment where everyone can do their best work. Provide regular feedback, coaching, clear goals and expectations, and career development opportunities. Invest in the growth of each team member, holding them accountable for high performance, celebrating achievements, and addressing performance issues promptly and constructively. Lead the team through complex, ambiguous, and rapidly evolving situations. Create clarity, generate energy, and deliver results even in uncertain environments.
  4. Partner with design, engineering, product, and business strategy teams to embed research-driven insights into product development. Facilitate collaboration across disciplines, geographies, and organizational boundaries to drive collective goals.
  5. Lead high-priority AI UX research programs, developing frameworks and methodologies for evaluating AI systems and for leveraging them throughout the research process.

Skills

Required

  • Doctorate or Master's or Bachelor's Degree in relevant field with equivalent experience
  • 3+ years user experience research experience and/or product development experience
  • 3+ years people management experience

Nice to have

  • 5+ years of people management experience, including hiring, coaching, and developing researchers
  • Demonstrated impact in delivering research that has influenced product direction and improved user experiences at scale
  • Experience with foundational and evaluative research methods, including large-scale studies, usability testing, and statistical analysis (R, Python, SQL)
  • Strong collaboration and communication skills across disciplines and levels of seniority
  • Understanding of trends in generative AI, AI/ML systems, and responsible AI principles
  • Experience with vibe coding tools and techniques
  • Experience in business applications and enterprise product research
  • Experience leading horizontal initiatives and scaling research impact across multiple teams
  • Experience in model evaluations with a focus on end user experience and success

What the JD emphasized

  • AI-native engineering
  • AI UX innovation
  • model evaluations with a focus on end user experience and success

Other signals

  • AI-native engineering
  • AI UX innovation
  • research strategy and execution
  • building and managing a high-performing research team