7 часов назад
Product Engineer (AI)
180 000 - 250 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Product Engineer (AI): Building customer-facing cybersecurity portal features across the full stack with an accent on TypeScript/React interfaces, Python and Go services, and intuitive security-data visualization. Focus on designing performant APIs and distributed systems, optimizing responsiveness for large datasets, and applying AI-powered engineering practices to accelerate product development.
Location: New York City, United States; on-site
Salary: $180,000–$250,000 per year, plus equity
Company
builds AI-driven cybersecurity products that help companies detect and defend against advanced cyber threats.
What you will do
- Own major customer-facing portal features from concept through deployment across the full stack.
- Build React components and design-system primitives with TypeScript and CSS.
- Develop performant Python and Go backend services and REST or GraphQL APIs.
- Optimize portal performance and responsiveness when displaying large amounts of security data.
- Apply AI-powered engineering practices to improve development velocity.
- Collaborate with product managers, designers, security engineers, AI/ML researchers, and customers.
Requirements
- Founded or co-founded a technology company and built a product personally.
- 4+ years of professional experience building, shipping, and maintaining full-stack web applications.
- Expertise in React, TypeScript, CSS, and modern frontend development.
- Proficiency in Python and/or Go, with experience designing REST or GraphQL APIs.
- Experience with relational or NoSQL databases and cloud services such as AWS, GCP, or Azure.
- Strong product intuition, communication, and cross-disciplinary collaboration skills.
Nice to have
- Background in cybersecurity, observability, or large-scale analytics systems.
Culture & Benefits
- Work on cybersecurity products designed to protect people from advanced threats.
- Build AI capabilities, analytics systems, and agentic platforms for cybersecurity.
- Fast-moving, customer-focused culture with an emphasis on high-quality execution.
- Autonomy, open communication, mentorship, and opportunities for learning.
- Competitive compensation with a top-of-market equity component.
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