5 часов назад
Fullstack Software Engineer (AI)
145 000 - 230 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Fullstack Software Engineer (AI): Building and iterating on an AI-native legal platform with an accent on end-to-end product ownership, cross-functional collaboration, and direct customer feedback. Focus on designing core product features, working across the codebase, and solving varied product and internal engineering challenges.
Location: New York, New York, United States; on-site
Salary: $145K–$230K base pay, plus equity
Company
builds an AI-native platform that helps in-house legal teams unify legal data, manage end-to-end workflows, and use business context within their existing tools.
What you will do
- Design, build, and iterate on core product features with cross-functional partners.
- Own projects end-to-end from concept through implementation and launch.
- Communicate directly with customers and incorporate their feedback into the product.
- Work across different challenges and multiple parts of the codebase.
- Contribute to a high-performing, supportive, and ambitious team culture.
Requirements
- 3–6+ years of experience as a full-stack engineer or product engineer at a leading startup, growth-stage company, or big tech company.
- Demonstrated end-to-end ownership of major products or significant product areas.
- Exceptional analytical and problem-solving skills with strong attention to detail.
- Ability to manage multiple workstreams and act with a strong ownership mindset.
- Full-stack engineering experience is preferred; exceptional front-end or infrastructure engineers may also be considered.
- Builder mentality, including founder experience, side projects, or a strong interest in coding and hacking for product and internal use.
Culture & Benefits
- Health, dental, and vision insurance with a 401(k).
- 12 weeks of paid parental leave.
- Flexible time off with 20+ PTO days.
- Annual learning and development stipend.
- Technology stipend with unlimited spending on AI tooling.
- Daily lunch for in-office team members.
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