Principal Engineer, Core Product

Added
5 days ago
Type
Full time
Salary
Salary not provided

Related skills

nlp machine learning microservices distributed systems mlops
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๐Ÿ“‹ Description

  • Own architecture for Wisdom, Agents, and Context/Contact Graph; production ML infra.
  • Translate product direction into phased technical plans with estimates and milestones.
  • Balance trade-offs: correctness, latency, UX, AI behavior, reliability, cost, and speed.
  • Define boundaries across frontend, BFF, backend, agents, ML platforms, and data contracts.
  • Review ERDs/PRDs/design docs to catch missing details early.
  • Drive unblock planning; keep ownership with area leads and senior engineers.
  • Partner with Product, Design, Engineering, and GTM to translate problems into action.
  • Mentor engineers without formal authority; stay hands-on for reviews and incidents.

๐ŸŽฏ Requirements

  • 8+ years as Staff/Principal-level engineer, architect, or tech lead.
  • Own architecture and execution for multi-team product/platform work.
  • Distributed systems expert; agent systems, ML platforms/MLOps, frontend/BFF.
  • Proven ability to turn ambiguity into executable engineering plans with design docs.
  • Mentor and influence engineers without formal authority.
  • Comfort challenging requirements across Product, Design, Engineering, and GTM.

๐ŸŽ Benefits

  • High Impact: AI-native agent workflows and ML platforms.
  • Ownership: End-to-end features and systems.
  • Complex Challenges: Agent reasoning and architecture in production.
  • Growth: Production-scale depth in agent systems and ML platforms.
  • Culture: Open, collaborative, autonomous environment.
  • Benefits: Competitive salary, equity, hybrid work, healthcare.
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