Tech Lead - Data & Analytics (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Tech Lead - Data & Analytics (AI): Leading the Data Team to scale real-time insights and a production-ready AI platform with an accent on data architecture, LLM integration, and system reliability. Focus on optimizing ClickHouse and TimescaleDB pipelines, implementing advanced prompt engineering, and establishing observability-first data standards.
Location: Flexible work hours and location, with offices in Oslo, Stockholm, Copenhagen, and Amsterdam.
Company
is a growing SaaS company providing an AI-driven chatbot platform that leverages machine learning and NLP to automate world-class customer service for enterprise clients.
What you will do
- Lead and mentor a multidisciplinary engineering team, establishing clear priorities and reducing cross-team friction.
- Drive customer-centric data features by translating enterprise client needs into platform capabilities.
- Define technical boundaries and data models for event-driven analytics and robust AI integration.
- Guide the design and shipment of resilient LLM features with sophisticated error-handling, retries, and cost controls.
- Champion data governance by elevating testing rigor and monitoring to ensure analytics are trusted and highly available.
Requirements
- 6+ years of professional software engineering experience, with at least 2+ years of leading multidisciplinary teams.
- Strong background in data engineering or building data-intensive products (experience with ClickHouse and TimescaleDB is a plus).
- Proficiency in Python and TypeScript/Node.
- Solid grasp of shipping LLM/NLP features to production, including cost management and quality evaluation.
- Architectural breadth to understand the connection between frontend, backend, and data components.
Nice to have
- Experience establishing organizational standards for AI coding assistants (Copilot/Codex).
- Advanced Kubernetes orchestration (Helm) and complex GCP cloud setup experience.
- Experience handling scaling challenges for real-time data ingestion and event-driven architectures.
Culture & Benefits
- Dedicated AI budget and freedom to experiment with cutting-edge AI tools.
- Option to buy company stocks at a discount.
- Flexible work hours and location.
- Personal development time (10 hours per month).
- Bi-monthly 2-day Hackathons during work hours.
- Modern offices near Oslo Central Station with a relaxed, high-trust atmosphere.
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