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3 дня назад

Manager II, Engineering (Applied AI)

234 000 - 300 000$
Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
US
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

Manager II, Engineering (Applied AI): Leads and grows multiple teams working on AI-powered features across the hirify.global platform with an accent on technical vision and strategy. Focus on shipping AI products end-to-end, coaching senior engineers and managers, and building evaluation and quality practices for AI systems.

Location: Hybrid in New York, New York, USA (NorAm)

Salary: $234,000–$300,000 USD

Company

hirify.global is a global SaaS business delivering growth and profitability by breaking down silos and solving complexity in the cloud age through infrastructure monitoring and digital transformation solutions.

What you will do

  • Lead and grow multiple teams of engineers, applied scientists, and managers focused on AI-powered features.
  • Set technical vision and strategy for your area in partnership with Product.
  • Ship AI products end-to-end, from data pipelines and model training through deployment and production operations.
  • Coach and develop senior engineers and managers, building a culture of high performance and psychological safety.
  • Drive collaboration across Applied AI, product, and partner engineering teams to deliver on hirify.global's AI priorities.
  • Own operational excellence for your teams' systems, including reliability, on-call, and incident response.

Requirements

  • Experienced technical leader with a strong background in AI, machine learning, or data science.
  • Proven track record building and shipping ML or AI-powered products in production.
  • Experience leading and mentoring multiple teams, including senior engineers and engineering managers.
  • Deep technical expertise in one or more areas: large language models, agentic systems, anomaly detection, time-series modeling, NLP, retrieval-augmented generation, or ML infrastructure.
  • Comfortable partnering with Product to set vision and strategy, and turning ambiguous problems into clear plans.
  • Strong people manager who can attract, develop, and retain top AI and engineering talent.

Culture & Benefits

  • New hire stock equity (RSUs) and employee stock purchase plan (ESPP).
  • Continuous professional development, product training, and career pathing.
  • Inclusive company culture and ability to join Community Guilds (employee resource groups).
  • Free, global Spring Health benefits for employees and dependents.
  • Competitive benefits including healthcare, dental, parental planning, mental health, a 401(k) plan and match, paid time off, and fitness reimbursements.
  • Hybrid workplace designed to ensure work-life harmony.

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