Principal Software Engineer - AI-Driven Platform Leader

Bazeta

United States

Remote

USD 285,000 - 385,000

Full time

2 days ago
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Job summary

Dropbox is seeking a Principal Software Engineer in Product Engineering to own company-critical, multi-year technical problems at scale. You will define long-term technical direction for customer-facing experiences used by millions, shaping AI-enabled capabilities and architecture across frontend and backend systems while staying hands-on where it matters most.

You will lead with senior leaders, drive roadmaps, influence multiple teams, and ensure engineering rigor as AI adoption expands across

Qualifications

  • Advanced degree in CS or related field with substantial software development.
  • 15+ years designing, building and evolving large-scale systems.
  • Strong experience delivering consumer-facing products at scale.
  • Experience applying ML/LLM APIs in production environments.

Responsibilities

  • Own and drive technical outcomes across multiple teams delivering impact at scale.
  • Define long-term technical strategy with senior leaders as technical owner.
  • Tackle ambiguous problems and shape what the company builds.
  • Remain hands-on in software development for critical components.
  • Align roadmaps across organizations and drive architectural standards.

Skills

Strategic leadership
Large-scale systems design
ML/LLM in production
Frontend and backend understanding
Executive communication

Education

Advanced degree in Computer Science or related field
15+ years experience in software architecture
Experience with consumer products at scale

Job description

Dropbox is seeking a Principal Software Engineer in Product Engineering to own company-critical, multi-year technical problems at scale. You will define long-term technical direction for customer-facing experiences used by millions, shaping AI-enabled capabilities and architecture across frontend and backend systems while staying hands-on where it matters most.

You will lead with senior leaders, drive roadmaps, influence multiple teams, and ensure engineering rigor as AI adoption expands across

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