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Manager I, Engineering - CodeGen

Lead engineering team building AI systems for code understanding, generation, and automated changes. Drive technical roadmap, manage small team, partner cross-functionally, with expertise in Python/Go and production LLM systems.

187k – 240kNew York, NYEngineering ManagementHybrid

About the role

What You’ll Do:

  • Lead a team of engineers responsible for building production systems that enable code understanding and automated code changes — from parsers and telemetry ingestion to model serving, evaluation, and PR automation.
  • Drive technical direction and execution: set a clear roadmap, prioritize work, remove blockers, and raise quality and reliability bar for codegen features (safety, correctness, performance).
  • Partner with product, applied research, infra/SRE, security, and other engineering teams to ship end-to-end experiences that safely apply model outputs (PRs, CI checks, automated apply flows).
  • Build and maintain robust evaluation and monitoring pipelines (offline and online) to measure model quality, drift, and downstream correctness of code changes.
  • Own hiring, performance development, 1:1s, and career growth for your reports; grow a high-performing, inclusive team.
  • Be accountable for production readiness: on-call expectations, postmortems, SLIs/SLOs, and operational playbooks for codegen services.
  • Maintain engineering rigor around data pipelines, model inputs, determinism, reproducibility, and reproducible CI/CD for model + infra changes.

Who You Are:

  • Proven experience in software engineering and applied science, with a focus on engineering LLM-based systems in production
  • Demonstrated experience managing small teams of software engineers and/or applied scientists, with a track record of delivering high-quality products
  • Strong software development skills and proficiency in Python and Go
  • Strong understanding of machine learning theory, statistics, and fundamentals
  • Excellent communication abilities to convey complex technical concepts clearly
  • A collaborative mindset and proven experience in working in cross-functional teams
  • A proactive approach with a passion for continuous learning and innovation

Skills

PythonGoLLMsMachine LearningStatisticsModel ServingCI/CDMonitoringEvaluation PipelinesData Pipelines

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