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13 дней назад

Senior Staff Software Engineer (AI)

223 000 - 278 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
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
Senior Staff Software Engineer (AI) (Onboarding and Activation): Building full-stack onboarding experiences that turn new signups into activated customers across web, SMS, WhatsApp, and AI assistants, with an accent on AI/LLM product integration, modular architecture, and measurable activation outcomes. Focus on inventing 0-to-1 customer flows, validating hypotheses with real customers, making pragmatic scoping decisions, and providing technical leadership across frontend, backend, and data.

Location: San Francisco, California, hybrid; expected to work from the office approximately 2–3 days per week. The San Francisco office expectation covers the San Francisco and San Jose metropolitan areas. hirify.global also has offices in Denver, New York City, and Scottsdale.

Salary: $223,000–$278,000 per year in San Francisco, plus equity.

Company

hirify.global provides payroll, health insurance, 401(k), and HR solutions for more than 500,000 small businesses.

What you will do

  • Own signup-to-activation experiences end to end, from data models to user interfaces.
  • Invent and prototype new onboarding experiences using AI where it meaningfully reduces customer effort.
  • Partner with Product, Design, and Data to frame problems, test hypotheses, and validate solutions with customers.
  • Build modular onboarding components that support new entry points across web, SMS, WhatsApp, and third-party AI assistants.
  • Raise engineering standards through technical direction, code reviews, high-quality implementation, and mentorship.
  • Make pragmatic scoping decisions, ship experiments quickly, measure results, and iterate.

Requirements

  • 10+ years of software engineering experience, including customer-facing products at scale.
  • Strong full-stack fundamentals and the ability to work across frontend, backend, and data.
  • Experience applying AI or LLM capabilities to real product problems.
  • Product-minded approach focused on customer problems, meaningful metrics, and measurable outcomes.
  • High ownership, comfort with ambiguity, and experience solving greenfield problems.
  • Technical leadership, mentorship, and a track record of raising engineering standards.

Culture & Benefits

  • Full-time employment with competitive base pay, benefits, and RSUs.
  • Work in a full-stack, outcome-driven team focused on customer activation rather than feature volume.
  • Collaborate closely with Product, Design, Data, and Engineering teams.
  • Use AI tools as a fundamental part of day-to-day work and continue developing AI fluency.
  • When working outside the office, maintain a secure, reliable, and consistent internet connection.

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