обновлено 18 часов назад
Engineering Manager (AI)
7 000 - 8 500€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Engineering Manager (AI) (Node.js/TypeScript/React): Leading engineering for data-intensive reporting and integration products that help MSSP partners scale cybersecurity protection to millions of users with an accent on SaaS reliability, production operations, and AI-driven capabilities. Focus on shaping architecture and roadmaps, developing an eight-person engineering team, and solving complex challenges in availability, latency, data quality, and safe LLM delivery.
Location: Helsinki, Finland; hybrid work with 2–3 days per week in the Helsinki office
Salary: €7,000–€8,500 per month, depending on experience
Company
is an AI-native cybersecurity software company building human risk management, threat intelligence, and response products for organizations.
What you will do
- Lead engineering for data-intensive reporting and integration products used by MSSP partners to serve millions of users.
- Translate product strategy into delivery plans and shipped outcomes in partnership with Product Management.
- Make architecture and technical direction decisions across Node.js, TypeScript, React, GraphQL, MongoDB, Kubernetes, and GCP.
- Build alongside the team while improving observability, incident response, performance, availability, latency, and data quality.
- Own development, performance management, hiring, and team management for a dedicated team of eight engineers.
- Shape roadmaps and safely deliver AI- and LLM-driven capabilities using feedback loops and continuous improvement.
Requirements
- Hands-on experience as a Tech Lead or Engineering Manager in a product team.
- Experience shipping and operating large-scale, data-intensive SaaS systems.
- Full-stack competence with Node.js, TypeScript, React, GraphQL, MongoDB, Kubernetes, and GCP.
- Production experience with observability, incident response, and performance optimization.
- Strong product and engineering judgment, mentoring ability, and experience raising engineering standards.
- Practical production-grade AI/LLM engineering experience or demonstrated ability to ramp up quickly.
Culture & Benefits
- High-performance environment focused on kindness, support, psychological safety, and candid feedback.
- Autonomy, trust, and freedom from micromanagement.
- Healthcare and additional benefits.
- Helsinki office with a gym and swimming pool.
- Opportunity to build cybersecurity products with measurable impact against cybercrime.
Hiring process
- 30-minute TA screening call and 60-minute meeting with the VP of Engineering.
- Independent take-home assignment taking up to six hours.
- 60–90-minute onsite panel interview, followed by a final alignment call and reference checks.
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