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2 дня назад

VP of Engineering (AI)

400 000 - 500 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
c_level
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
VP of Engineering (AI): Leading and building AI-native banking agents, self-service workflows, contact-center products, shared agent infrastructure, and customer deployment systems with an accent on hands-on architecture, production engineering, security, privacy, and reliability. Focus on designing and implementing system-wide changes, scaling multiple engineering teams, shipping agentic products, and improving deployment and production quality.

Location: San Francisco, United States; on-site five days a week

Salary: $400,000–$500,000 annual base salary plus equity

Company

hirify.global builds AI agents for banks and credit unions, helping customers complete banking tasks and supporting frontline financial-services teams. Its products are used by more than 100 banks and credit unions.

What you will do

  • Lead Product Engineering teams building voice and chat agents, banking self-service and transaction workflows, and Nexus, an AI-powered contact-center experience.
  • Make consequential architecture decisions and perform hands-on development, including prototyping, implementation, testing, release, and production follow-up.
  • Set priorities with the Platform Engineering leader for the shared agent runtime, knowledge and retrieval, evaluations, banking integrations, data infrastructure, and Assemble.
  • Own engineering work for customer deployments at financial institutions, including launch planning, integrations, configuration, and repeatable delivery.
  • Lead Security and Privacy within Engineering and establish standards for testing, AI evaluations, release readiness, observability, and incident response.
  • Hire and coach engineering leaders, develop senior technical talent, set performance expectations, and measure the impact of coding agents on delivery, rework, and production quality.

Requirements

  • Operate at Staff Engineer level: solve ambiguous technical problems across system boundaries, implement meaningful parts personally, and own production outcomes.
  • Be able to present substantial code written and shipped recently and explain the architectural decisions behind it.
  • Have built and shipped agentic or AI-native products where AI was central to the product and customer value.
  • Have made significant engineering decisions, evaluated AI systems, and improved their reliability in production.
  • Have taken a product from an uncertain idea to real customer use, worked directly with customers, tested assumptions, and made investment or direction decisions.
  • Have led and scaled multiple engineering teams, including hiring and developing managers and technical leads who independently own outcomes.
  • Be able to delegate, manage dependencies, and follow through on customer commitments.
  • Use AI development tools personally and demonstrate how they improved development and delivery while ensuring result quality.

Nice to have

  • Background as an engineering manager or director who deliberately returned to hands-on engineering.
  • Recent Staff Engineer-level experience.
  • Experience in fintech, regulated enterprise software, conversational AI, or contact-center products.

Culture & Benefits

  • Full-time, on-site work in San Francisco five days per week.
  • Hands-on technical leadership is expected alongside organizational leadership.
  • Company-paid medical, dental, and vision coverage.
  • 401(k), paid parental leave, discretionary PTO, commuter and wellness benefits, and office meals.
  • Access to advanced AI tools and an inclusive workplace.

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