* Lead a Tech team (Developers, AI Engineers...etc.)
* Design Tech road map of a growing startup
About Our Client
Our client is a ground-breaking LegalTech startup.
Job Description
* Define, own, and communicate the long-term technology roadmap, including the strategic development and evolution of a SaaS platform, aligned with product and business objectives.
* Lead, mentor, and grow cross-functional teams covering Engineering (front-end, back-end, databases), AI/ML, DevOps, Security, and Infrastructure.
* Design and oversee a secure, scalable architecture for multi-tenant AI services, microservices, and human-in-the-loop workflows, ensuring the robust foundation for a global SaaS offering.
* Establish and refine CI/CD, observability, and incident-response processes to ensure high availability and rapid delivery.
* Oversee cyber-security best practices, conduct risk assessments, and support ISO 27001 / SOC2 certifications.
* Oversee database strategy (relational and NoSQL) to ensure performance, compliance, and maintainability.
* Collaborate with Legal, Product, and Operations to meet jurisdiction-specific regulations and professional rules.
* Report progress, metrics, and risks to the executive team and board.
The Successful Applicant
Requirements
* Master's degree in Computer Science, Machine Learning, Engineering or a related field.
* 10+ years in senior engineering roles, including 5 + years leading multi-disciplinary technology teams.
* Demonstrated success delivering AI/ML products at scale in regulated industries (LegalTech, FinTech, HealthTech, etc.); background in or exposure to the legal sector is a strong plus.
* Proven expertise with cloud platforms and modern DevOps practices.
* Solid grounding in relational and NoSQL database design, optimisation and operations.
* Strong understanding of data-protection legislation (GDPR, Swiss FADP) and relevant professional-ethics rules.
* Language: Fluent in English (mandatory); French preferred.
Skills
* A clear understanding of Python and JavaScript.
* Practical experience with LLM frameworks and tools (e.g. LangChain, CrewAI, RAG pipelines).
* Mastery of containerisation (Docker) and orchestration (Kubernetes).
* Infrastructure-as-Code (Terraform) and observability stacks.
* Database-performance tuning, backup/restore strategies and data-migration planning.
* Security best practice: encryption-at-rest/in-transit, no-trust networking, SAST/DAST, IAM and secrets management.
* Agile leadership, stakeholder management and budgeting.
What's on Offer
* Exciting LegalTech SaaS platform
* Opportunity to work from wherever you want in Switzerland (full remote)
* Fast growing startup (series A)
* Equity shares
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