Senior Manager, Applied Science — AI Agents Leader

Socket.dev

Seattle (WA)

On-site

USD 218,000 - 296,000

Full time

7 days ago
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Job summary

Amazon is seeking a Senior Manager of Applied Science to build and lead the science organization across the Agentic WorkSpaces portfolio. You will hire and grow a team of applied scientists to measure and improve AI agents and human-AI teams in enterprise environments.

You will define the science agenda, identify high-leverage problems, and drive the research directions across multiple teams to ensure production-grade, reliable outcomes.

Qualifications

  • PhD or Master’s in Computer Science, ML, or a related field, or equivalent applied research experience.
  • 10+ years of applied science experience, including 3+ years managing and growing teams of scientists.
  • Experience setting research direction and strategy across multiple teams and organizations.

Responsibilities

  • Build and lead the applied science team. Hire, develop, and retain a high-caliber team of applied scientists spanning the AAWS portfolio.
  • Own the science strategy across the portfolio. Direct the research agenda for measurement and improvement of agents and human-AI teams.
  • Define and drive high-leverage research directions and shape the science agenda.
  • Translate science into shipped product by partnering with engineering, product, and program leaders.
  • Represent science in leadership and to customers across AAWS.

Skills

Leadership
Applied ML
Evaluation methodologies
Strategic planning
Cross-team collaboration

Education

PhD or Master’s in CS/ML or related field

Job description

Amazon is seeking a Senior Manager of Applied Science to build and lead the science organization across the Agentic WorkSpaces portfolio. You will hire and grow a team of applied scientists to measure and improve AI agents and human-AI teams in enterprise environments.

You will define the science agenda, identify high-leverage problems, and drive the research directions across multiple teams to ensure production-grade, reliable outcomes.

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