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12 часов назад

Engineering Manager (AI)

200 000 - 260 000$
Формат работы
remote (только USA)/onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Релокация
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
Engineering Manager (AI): Building AI agents and unified APIs that read, reconcile, and act on construction financial data across fragmented on-premise systems with an accent on hands-on engineering leadership, distributed systems, and reliable data integration. Focus on designing agent tools and evaluation, standardizing data models across legacy systems, scaling millions of API requests, and leading a team of 4–6 engineers.

Location: San Francisco, United States; in-person work in the San Francisco office 5 days per week for Bay Area candidates, with remote work optional for candidates outside the Bay Area. Relocation to the Bay Area is supported.

Salary: $200K–$260K annually, plus equity, performance bonuses, and a sign-on bonus.

Company

hirify.global builds applied AI for construction, connecting modern AI agents and APIs to fragmented legacy and on-premise financial systems used by contractors.

What you will do

  • Spend 50–60% of the time as an individual contributor, shipping code and owning the hardest technical problems.
  • Lead a team of 4–6 engineers through 1:1s, feedback, performance management, and career growth.
  • Own delivery for the team’s area by scoping, sequencing, and shipping customer commitments.
  • Build AI agents that read, reconcile, and act on construction financial data such as invoices, change orders, pay applications, and budgets.
  • Design unified data models, APIs, authentication, account-linking flows, filters, and pagination across dozens to hundreds of systems.
  • Set the technical bar through design reviews, code reviews, pairing, interviewing, and onboarding.

Requirements

  • 4+ years as a back-end or full-stack engineer, including 1+ years managing or leading engineers.
  • Strong individual contributor experience designing and building production systems, including cloud infrastructure such as AWS and distributed systems.
  • Experience debugging production issues end-to-end, including database performance, memory, concurrency, and third-party API failures.
  • Experience leading projects with other engineers by scoping work, dividing it across the team, and delivering it.
  • Experience mentoring engineers and giving direct feedback, including difficult conversations.
  • Ability to explain technical tradeoffs to founders and customers as well as engineers.
  • Self-motivated, high ownership, low ego, and interested in building a world-class engineering culture on a fast-paced team.
  • Bay Area candidates must be willing to work in person in San Francisco 5 days per week; candidates outside the Bay Area may work remotely.

Nice to have

  • Prior experience with hirify.global’s technology stack or the construction industry is not required.

Culture & Benefits

  • Early-stage startup environment with a validated product, 550+ contractors, rapid growth, and direct customer impact.
  • TypeScript, React, Redis, Postgres, AWS CDK, and EC2 are used in the technology stack.
  • Competitive equity, annual performance bonuses, and a 401(k) match of 100% of contributions up to 4% of annual salary.
  • Healthcare coverage includes 90% of healthcare costs, dependent-cost support, and a $100 monthly HSA contribution; parental leave is up to 12 weeks for all new parents.
  • Relocation support for moving to the Bay Area, commuter benefits, company-sponsored SF trips for remote teammates, visa sponsorship, meal stipends, and an on-site gym.

Hiring process

  • Stages include a 20-minute introduction, a 50-minute customer-needs problem, a 50-minute coaching problem, and five 60-minute one-to-one interviews with co-founders and engineering managers.
  • The final interviews are conducted in person in San Francisco, with travel paid by hirify.global.
  • Decisions are made within 24 hours after each stage, with candidates updated shortly afterward.

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