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12 часов Π½Π°Π·Π°Π΄

Manager, Software Engineering (AI/ML)

140Β 000 - 170Β 000$
Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
hybrid
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
lead
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
Canada
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

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TL;DR
Manager, Software Engineering (AI/ML): Leading multiple engineering delivery pods and maintaining architectural integrity for applied AI software solutions with an accent on technical execution, team development, and responsible AI. Focus on guiding architecture, removing engineering blockers, ensuring explainable and auditable systems, and coordinating delivery with clients and stakeholders.

Location: Hybrid, with required in-office presence in Toronto or Calgary, Canada

Salary: $140,000–$170,000 per year

Company

hirify.global is a North American applied AI company that builds and operationalizes AI software solutions across multiple industries.

What you will do

  • Lead multiple software engineering delivery pods and guide architectural decisions and technical direction.
  • Remove engineering blockers, facilitate cross-functional technical discussions, and support on-time, on-scope delivery.
  • Manage direct reports through regular 1:1s, feedback, career development, and performance support.
  • Ensure AI models and software systems are explainable, fair, auditable, and aligned with Responsible AI guidelines.
  • Communicate progress, risks, and outcomes with internal stakeholders and external clients, including support for demos, technical Q&A, and pre-sales.
  • Participate in engineering hiring and quarterly resource allocation across delivery pods.

Requirements

  • 5+ years of software engineering experience, including at least 2 years in a technical lead or management role.
  • Experience driving architectural decisions and maintaining engineering quality in a fast-paced delivery environment.
  • Experience managing and developing engineers at different levels.
  • Ability to communicate technical complexity clearly with clients and stakeholders.
  • Familiarity with AI/ML solutions and modern MLOps or software delivery practices.
  • Commitment to responsible, ethical AI and inclusive team culture.

Culture & Benefits

  • Hybrid work environment with collaborative, state-of-the-art offices.
  • Flexible working hours, work location, dress, and vacation planning.
  • Uncapped vacation for full-time permanent employees.
  • Competitive benefits for full-time permanent employees.
  • Collaborative environment with colleagues from software engineering, data science, product development, and machine learning backgrounds.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’