обновлено 21 час назад
Engineering Manager (AI/Java)
186 000 - 233 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Engineering Manager (AI/Java): Leading the Purchase engineering team to build consumer-facing purchasing and AI experiences for a large automotive marketplace with an accent on backend architecture, distributed systems, and agentic development. Focus on guiding AI-native engineering practices, delivering personalized features for car shoppers, and scaling reliable systems through cross-functional collaboration.
Location: Flexible hybrid model; in-person interviews may be required for positions based in the Boston and Dublin offices.
Salary: $186,000–$233,000 USD annual base salary / OTE.
Company
is a profitable automotive marketplace helping consumers and dealerships complete the end-to-end car shopping journey online.
What you will do
- Lead, mentor, and grow the Purchase engineering team while fostering a collaborative, high-performance culture.
- Drive the Purchase roadmap from technical design through implementation, testing, measurement, and incremental delivery.
- Champion AI coding assistants, agentic workflows, and AI-native development practices across the team.
- Define and deliver intelligent, personalized consumer-facing AI experiences for car shoppers.
- Collaborate with Product, UX, Analytics, consumer, dealer, and platform engineering teams on priorities, dependencies, and integrations.
- Advocate for code quality, observability, system reliability, and continuous improvement.
Requirements
- 7+ years of relevant engineering experience, including 3+ years in engineering management or a technical lead role.
- Strong backend engineering foundation with Java/Spring, distributed systems, system design, and data layer experience.
- Experience delivering consumer-facing AI features or products; conversational or agentic AI experience is beneficial.
- Strong project management, Agile delivery, estimation, prioritization, and data-driven product decision-making skills.
- Demonstrated ability to mentor engineers and collaborate effectively across engineering, product, and design.
- Bachelor’s degree in Computer Science, Computer Engineering, or equivalent practical experience.
Nice to have
- Experience with conversational or agentic AI experiences.
- Experience leading teams through a transition to AI-native and fully agentic programming practices.
Culture & Benefits
- People-first culture focused on kindness, collaboration, innovation, and continuous learning.
- Equity for all employees, comprehensive benefits, and potential discretionary bonuses or RSUs.
- Flexible hybrid work model and robust time-off policies.
- Career development programs, employee resource groups, and corporate giving opportunities.
- Daily free lunch, new car discounts, meditation and fitness apps, and commuting cost coverage.
Hiring process
- In-person interviews may be required for positions based in Boston and Dublin.
- Travel expenses for required in-person interviews are the candidate’s responsibility.
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