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5 дней назад

Sr. Manager, AI Product Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Europe/Greece
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Sr. Manager, AI Product Engineer (AI): Building and shipping production AI product capabilities, including models, tools, retrieval, and evaluation flows, with an accent on technical ownership, distributed web systems, and production quality. Focus on designing AI-native features, improving operability through instrumentation and failure analysis, and leading code review, delivery, and mentoring across development pods.

Location: Greece—Thessaloniki, Chortiatis; hybrid work location assignment. Other locations: Europe—Any hirify.global Site.

Company

hirify.global is a global pharmaceutical company developing medicines and digital solutions intended to improve patient health outcomes.

What you will do

  • Design, implement, test, and ship core product capabilities, including AI-native flows involving models, tools, retrieval, and evaluation.
  • Own the technical quality and delivery of significant product areas, acting as technical lead for a product slice through sequencing, code review, and quality management.
  • Partner with AI Product Owners and product and design stakeholders to shape scope, identify technical risks, and improve learning speed and operability.
  • Work with DevOps on CI/CD, environments, production readiness, and shared studio engineering patterns.
  • Instrument features and use data and failure traces to improve product performance and reliability.
  • Mentor AI Product Engineers through pairing, critique, examples, demos, and design reviews.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • 6+ years of professional software engineering experience with a track record of shipping and iterating production systems.
  • Hands-on experience integrating AI/ML or generative AI into product features.
  • Ability to lead technically without formal authority, including sequencing, review, and coaching.
  • Strong fundamentals in APIs, data, testing, and debugging distributed web systems.
  • Excellent collaboration with product and design in iterative, ambiguous environments.
  • Clear written and verbal communication; CV must be submitted in English.

Nice to have

  • Advanced degree.
  • Experience as a tech lead on a squad or pod.
  • Familiarity with modern AI platforms and at least one major cloud.
  • Healthcare, pharma, or other regulated-industry experience.
  • Mentoring or informal people-development experience.
  • Previous consulting or senior product-engineering experience.

Culture & Benefits

  • Patient-centric culture guided by courage, joy, equity, and excellence.
  • Flexible workplace culture supporting work-life harmony.
  • Commitment to diversity, inclusion, accessibility, and reasonable adjustments during recruitment and employment.
  • Company-wide digital transformation focused on data, modelling, automation, drug discovery, development, and patient experience.

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