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5 дней назад

Engineering Manager, Merchant, AI/ML

193 800 - 285 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US/Australia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Engineering Manager, Merchant, AI/ML (Generative AI/Machine Learning): Leading the design and deployment of production-grade AI systems for merchant onboarding, menu intelligence, multimodal content generation, and agentic task automation with an accent on scalable ML architecture, LLMs, and measurable business impact. Focus on building and mentoring an AI/ML engineering team, defining a multi-year roadmap, and shipping reliable AI products used by millions of customers.

Location: San Francisco, Sunnyvale, Seattle, or New York. The posting lists locations in the United States and Australia.

Salary: $193,800–$285,000 USD base salary per year, plus potential equity grants.

Company

A product and technology company building marketplace and merchant solutions supported by large-scale AI and machine learning systems.

What you will do

  • Lead and grow a team of AI/ML engineers building production-grade machine learning and generative AI solutions for merchants.
  • Define and execute a multi-year AI roadmap covering onboarding, menu media understanding and generation, menu metadata intelligence, and agentic task automation.
  • Partner with product, design, operations, and data science to turn merchant problems into scalable AI-powered products.
  • Own the ML system lifecycle from ideation and experimentation through productionization and continuous improvement.
  • Drive innovation in multimodal AI, LLM-powered assistants, and generative AI content creation.
  • Mentor engineers and develop an engineering culture focused on experimentation, reliability, inclusion, and measurable impact.

Requirements

  • 7+ years of industry experience in machine learning and AI engineering.
  • 2+ years of leadership experience managing applied scientists and ML engineers.
  • Experience building and deploying AI/ML systems at scale, including AI-powered products used by millions of people.
  • Technical depth in at least one area such as computer vision, natural language processing, generative models, or large-scale agent systems.
  • Strong communication, roadmap definition, execution planning, and cross-functional collaboration skills.
  • Experience using AI to solve customer problems at the intersection of product and engineering.

Culture & Benefits

  • Inclusive, high-impact engineering culture emphasizing experimentation, reliability, and measurable business outcomes.
  • 401(k) plan with employer matching.
  • Medical, dental, vision, disability, and basic life insurance.
  • 16 weeks of paid parental leave, paid time off, paid sick leave, and 11 paid holidays.
  • Wellness, commuter, family-forming assistance, and mental health benefits.
  • Flexible paid time off for salaried employees.

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