10 дней назад
Director of Engineering (Ecommerce/AI)
215 000 - 230 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Director of Engineering (Ecommerce/AI): Leading a high-performing engineering organization and evolving a high-traffic commerce, operations, analytics, and AI platform with an accent on architecture, developer velocity, reliability, and technical leadership. Focus on building shared technical ownership, sequencing engineering roadmaps, reducing key-person risk, and applying AI thoughtfully to systems and products.
Location: Cranford, New Jersey, United States
Annual salary: $215,000–$230,000 plus annual bonus
Company
is a self-funded, profitable, rapidly growing direct-to-consumer specialty food and wellness company with more than 550 employees and a multi-channel ecommerce business.
What you will do
- Lead, hire, develop, and support a high-performing engineering organization.
- Set architecture direction and technical standards across the Shopify and NetSuite commerce ecosystem, internal tools, and data and AI platforms.
- Improve developer velocity through better tooling, documentation, planning, and shared technical ownership.
- Own engineering roadmaps, sequencing, stakeholder alignment, and build-versus-buy-versus-configure decisions with technical vendors.
- Raise production quality through architecture reviews, incident reviews, release discipline, monitoring, alerting, regression prevention, and reliability practices.
- Shape AI adoption in engineering and products while maintaining reliable analytics, experimentation, instrumentation, and attribution infrastructure.
Requirements
- 10+ years of software engineering experience and 6+ years of engineering management experience.
- Proven experience building and growing engineering teams, developing senior engineers, managing performance, and hiring effectively.
- Strong technical judgment across complex commerce and operations systems, including scalability, reliability, cost, and risk tradeoffs.
- Experience with developer experience, engineering productivity, architecture, roadmapping, and cross-functional stakeholder management.
- Ability to work hands-on while setting long-term technical direction and creating clarity in ambiguous environments.
- Familiarity with frontier AI models, their limitations, and practical applications in engineering and products.
Culture & Benefits
- Collaborative, entrepreneurial, customer- and business-focused environment.
- Hypothesis-driven execution with emphasis on context, focus, speed, and durable systems.
- 401(k) match and comprehensive benefits.
- Paid maternity, adoption, and paternity leave.
- 40% employee discount and company snacks.
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