Engineering Manager - Intelligent Core

29k - 35k PLN/ mies.B2B
24k - 29k PLN/ mies.UoP
SeniorFull-time·B2B·Umowa o pracę
#378958·Dodano dziś·0
Źródło: Infermedica
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Tech Stack / Keywords

AIEmbedded

Firma i stanowisko

Infermedica operates at the intersection of medical AI, product delivery, and engineering excellence, focusing on medical ontology and inference engine development.

Wymagania

  • 5+ years of engineering management experience with strong people leadership and delivery ownership.
  • Skilled in structured 1:1s, feedback, and performance development.
  • Ability to form teams quickly around new priorities and build momentum under pressure.
  • Experience managing complex initiatives end-to-end and coaching teams.
  • Technical fluency to engage in architecture discussions and risk assessment.
  • Product and business awareness connecting engineering to customer value and priorities.
  • Strong collaboration skills acting as a connector across teams.
  • Comfortable working in environments requiring quality, safety, and compliance.
  • Fluent in English and Polish, both written and spoken.

Obowiązki

  • Lead and develop engineers, QAs, data scientists, and researchers with structured 1:1s, feedback, and career support.
  • Own delivery of 2–3 cross-functional initiatives per cycle, defining goals, aligning stakeholders, and driving execution.
  • Assemble teams around changing priorities, clarifying ownership and establishing ways of working.
  • Coach initiative leads to make decisions and manage execution while fostering autonomy.
  • Identify and remove friction in engineering planning, delivery, and learning to improve speed and capability.
  • Embed quality, safety, and regulatory compliance into software delivery processes.

Benefity

  • Experience in healthtech, medtech, clinical AI, or related domains.
  • Familiarity with healthcare regulations (MDR/SaMD).
  • Background leading diverse teams including engineers, data scientists, ML engineers, and researchers.
  • Practical experience applying AI tools in software development lifecycle.
  • Experience building, deploying, or operating AI/ML-powered products in production.
Infermedica

Infermedica

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