Engineering Manager - Intelligent Core
29k - 35k PLN29 000 - 35 000 PLN/ mies.B2B
24k - 29k PLN24 000 - 29 000 PLN/ mies.UoP
SeniorFull-time·B2B·Umowa o pracę
#378958·Dodano dziś·0
Źródło: InfermedicaTech 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
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