The Technical Lead will design and implement backend systems, mentor engineers, optimize performance, and manage cloud architecture while ensuring scalable and reliable data processing.

The AI Automation Engineer will design and implement intelligent automation systems using Python or Node.js, focusing on OCR and NLP technologies for data processing and workflow automation.

Lead AI and data initiatives, define strategy for data management, oversee evaluation frameworks, and align engineering and product teams for successful delivery.

The Technical Architect develops scalable platforms and systems, collaborates with product teams, and leads architecture across data solutions and integrations, ensuring best practices and mentoring developers.

Provide in-house legal counsel for commercial contracts, data privacy, technology law, employment and corporate matters. Draft, review, and negotiate MSAs, SOWs, NDAs, DPAs and vendor agreements; advise on cross-border privacy and IP issues; support compliance, policy development, and risk mitigation for a fast-moving SaaS/data company.

The Product Manager will lead AI-driven automation initiatives, defining and delivering intelligent systems to enhance decision-making and reduce manual efforts, while ensuring compliance and governance in AI implementation.