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21 час назад

Forward Deployed Engineering Lead

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
Forward Deployed Engineering Lead (Scala/Python/AI): Leading partner-embedded engineering for demand-side integrations and custom marketplace development with an accent on repeatable delivery standards, complex partner APIs, and AI-native engineering practices. Focus on architecting reusable solutions, governing code-generation and testing workflows, mentoring engineers, and delivering high-stakes integrations with partner, Product, and Engineering teams.

Location: Hybrid, USA - New York, NY

On-target earnings: $200K–$240K, with commission offered.

Company

hirify.global provides cybersecurity, online privacy, identity protection, and financial wellness solutions through brands including Norton, Avast, LifeLock, and MoneyLion.

What you will do

  • Lead technical strategy and delivery standards for demand-side integrations across the partner portfolio.
  • Own complex, ambiguous, and new-vertical integrations, including non-standard partner APIs and hosted experiences.
  • Convert bespoke implementations into reusable modules, templates, tooling, and runbooks.
  • Architect and govern AI-native engineering practices, including code-generation pipelines, mapping automation, test-scaffolding agents, and human-review gates.
  • Mentor Forward Deployed Engineers through design and code reviews and improve engineering standards.
  • Lead technical working sessions and feedback loops with partner, Product, Engineering, Solutions Engineering, and commercial teams.

Requirements

  • 8+ years of experience, including senior or staff-level work in integration, platform, or forward-deployed engineering.
  • Production-quality coding experience in Scala and/or Python, with working comfort in Node.js/TypeScript for SDKs and tooling.
  • Deep REST/JSON API expertise, including authentication, idempotency, schema evolution, versioning, monitoring, and incident response.
  • Experience building reusable architecture, tooling, or playbooks that increased team output without proportional headcount growth.
  • Experience using AI-native workflows and tools such as Claude Code, Cursor, or Copilot, with judgment about when deterministic approaches are preferable.
  • Ability to facilitate technical working sessions directly with partner engineering teams.
  • Ability to take ownership of complex, ambiguous work and combine strategic leadership with hands-on execution.
  • Ability to build trust across partner, Product, Engineering, Solutions Engineering, and commercial teams and support colleague growth through mentoring, design feedback, and code review.

Nice to have

  • People leadership or strong informal team leadership experience.

Culture & Benefits

  • Flexible working options, time off, competitive pay, benefits, and well-being programs.
  • Culture emphasizes customer focus, healthy debate, experimentation, continuous learning, mutual support, and respect for different experiences and ideas.
  • AI is encouraged as a teammate and productivity accelerator.

Hiring process

  • Online technical test, followed by a TA call.
  • Virtual live coding interview.
  • Final interview with the hiring manager, held virtually or face-to-face.

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