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4 дня назад

Tech Lead Manager (Generative AI)

188 000 - 235 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Tech Lead Manager (Generative AI) (LLM systems and enterprise contracting): Building production generative AI systems for contract lifecycle management across a large enterprise contract dataset with an accent on technical leadership, architecture, and production quality. Focus on leading engineers, designing and coding high-leverage solutions, operating eval-driven ML/LLM systems, and managing reliability and output-quality monitoring.

Location: San Francisco, California; hybrid work based at the San Francisco headquarters

Base salary: $188,000–$235,000 per year, plus equity and bonus opportunities

Company

hirify.global builds contract lifecycle management software and production generative AI solutions for enterprise customers using a large contract dataset.

What you will do

  • Lead and grow a team of engineers building production generative AI systems.
  • Own the technical roadmap, architecture, quality standards, and business outcomes for the team.
  • Partner with product management, engineering leads, and company leadership to translate customer needs into technical deliverables.
  • Write design documents, make architectural decisions, and contribute production code to high-leverage or high-risk initiatives.
  • Set standards for code quality, testing, eval-driven development, staged rollouts, and production monitoring.
  • Hire, mentor, and develop engineers while managing performance and career growth.

Requirements

  • Proven experience managing engineering teams and shipping production systems.
  • Strong technical background in generative AI and LLM-based systems.
  • Ability to contribute directly as a technical individual contributor by designing and implementing solutions.
  • Experience operating production ML/LLM systems, including evaluation, reliability and output-quality monitoring, and staged rollouts.
  • Experience with NLP, content or document understanding, search and retrieval, agent frameworks, or LLM training infrastructure and frameworks.
  • Strong cross-functional partnership, prioritization, hiring, mentoring, and performance-management skills.

Nice to have

  • Experience scaling a team through a significant architectural transition.
  • Familiarity with canary rollouts for ML/LLM systems.

Culture & Benefits

  • Hybrid work with stipends for wellbeing and hybrid-work expenses.
  • Health, dental, and vision coverage for employees, with dependent coverage options.
  • Gender-neutral parental leave, compassionate leave, paid time off, and family-forming support.
  • Mental health support, commuter benefits, and a 401(k) plan with employer match for US employees.
  • Regular team events and opportunities for career growth and development.

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