2 дня назад
Engineering Manager (AI)
200 000 - 230 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Engineering Manager (AI): Leading a team building and scaling AI-native insurance product capabilities with an accent on technical direction, distributed systems, and reliable production software. Focus on hiring and developing engineers, guiding architecture, translating ambiguous product needs into measurable priorities, and applying AI-native development workflows without compromising security or correctness.
Location: Remote
Salary: $200,000–$230,000 per year, plus stock options, benefits, and additional perks.
Company
is an AI-native platform transforming the full insurance policy lifecycle through agentic AI.
What you will do
- Lead, mentor, hire, and develop a high-performing engineering team.
- Set technical direction and translate ambiguous product and customer needs into clear engineering priorities and measurable outcomes.
- Guide architecture and critical design decisions for scalable, reliable, and secure production systems.
- Partner with Product, Design, Data Science, customer-facing teams, and engineering leadership to deliver complex initiatives from idea through production.
- Use AI-native development tools and workflows to increase engineering velocity while maintaining standards for correctness, security, reliability, and production readiness.
Requirements
- 8+ years of software engineering experience building and operating production systems.
- 2+ years managing or technically leading engineers, including hiring, development, and retention of engineering talent.
- Strong technical depth in distributed systems, APIs, cloud infrastructure, or modern web application development.
- Experience leading large, ambiguous technical initiatives from strategy and architecture through execution and production.
- Ability to work effectively in fast-paced, high-growth environments and align Engineering, Product, Data Science, and other stakeholders.
Nice to have
- Experience building AI-powered or AI-native products involving LLMs, agentic workflows, or intelligent automation.
- Experience with AI coding tools and validating generated code through strong engineering judgment.
- Early-stage startup experience or experience as an early engineering hire.
- Experience in insurance, fintech, enterprise SaaS, or other complex regulated domains.
Culture & Benefits
- First-principles approach to solving complex problems and willingness to revise decisions through learning.
- Fast-moving environment focused on user impact and practical results.
- Stock options, benefits, and additional perks included in the total compensation package.
- Equal-opportunity workplace with reasonable accommodation available during hiring and employment.
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