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Banyan Software

Banyan Software - CTO

Madrid, Spain1mo ago
In OfficeC-levelEMEACybersecurityArtificial IntelligenceCTOCEOGDPR ComplianceTeam ManagementProduct MarketingKPI TrackingReporting

Requirements

• Degree in Computer Science, Software Engineering, or a related technical discipline. Advanced qualifications are a plus. • Minimum 8+ years of technology leadership experience, with at least 3 years in a CTO, VP Engineering, or equivalent senior role in a software product company. • Proven track record delivering and evolving enterprise or B2G (business-to-government) software products, ideally in a regulated industry. • Hands-on experience integrating AI and automation technologies into software products and/or operational workflows — not just theoretical knowledge. • Experience leading lean engineering and support teams, with a track record of improving efficiency through tooling, process improvement, and intelligent automation. • Familiarity with the Spanish public sector technology environment is a strong advantage — including knowledge of ENS (Esquema Nacional de Seguridad), LOPD/GDPR compliance, and public administration IT requirements. • Business level fluency in both written and spoken English and Spanish.

Responsibilities

• Technology Strategy & Product Roadmap • Define and own the company's technology strategy and multi-year product roadmap, in close collaboration with the CEO and Commercial Director. • Ensure the software platform remains competitive, compliant, and aligned with the evolving management needs of Spanish public institutions. • Lead the technical evaluation and prioritisation of platform investments — including architecture modernisation, scalability, and migration to cloud/SaaS delivery models where appropriate. • Maintain awareness of the regulatory and data security requirements governing software used in the Spanish public sector (including ENS — Esquema Nacional de Seguridad — and GDPR compliance). • AI Adoption & Innovation • Champion the strategic adoption of Artificial Intelligence across the business — in the product, in client-facing features, and in internal operations. • Identify and prioritise AI use cases that deliver measurable value: automating routine processes within the product, enhancing reporting and analytics for public sector clients, and improving the efficiency of the support and delivery teams. • Build practical AI capabilities into the product roadmap — such as intelligent workflow automation, predictive workforce analytics, and AI-assisted compliance monitoring — tailored to the needs of Spanish public sector administrations. • Stay ahead of developments in AI tooling, large language models, and automation platforms; evaluate and integrate relevant technologies into the company's stack in a responsible, compliant manner. • Foster a culture of experimentation and continuous improvement, encouraging the engineering and support teams to embrace AI tools that augment their effectiveness. • Success metrics: • AI features shipped and adopted within the product • Measurable efficiency gains in internal operations from AI/automation • Time-to-market improvement for new product capabilities • Engineering Leadership • Lead, develop, and grow the engineering team; set clear expectations, foster technical excellence, and build a high-performance engineering culture. • Implement robust development practices: agile delivery, code quality standards, CI/CD pipelines, security-by-design, and structured release management. • Own the technical architecture of the platform, managing both organic product evolution and the reduction of technical debt. • Partner with the product and commercial teams to translate client requirements — particularly those arising from public sector contracts — into a clear and deliverable technical backlog. • Success metrics: • Engineering velocity and release cadence • Platform stability, uptime, and security posture • Technical debt reduction over time • Client Support — Efficiency & AI-Driven Improvement • Own the client support function, ensuring public sector clients receive timely, high-quality technical assistance in line with contractual SLAs. • Drive a transformation of the support model — using AI, automation, and self-service tooling to reduce ticket volume, accelerate resolution times, and free up the team to focus on complex, high-value client issues. • Introduce AI-assisted triage, knowledge base tools, and intelligent routing to improve first-response quality and reduce dependency on manual intervention. • Define and track support KPIs; report regularly to the CEO on support performance, client satisfaction, and efficiency trends. • Ensure the support team has a deep understanding of the specific operational contexts of public sector clients — including payroll cycles, administrative calendars, and regulatory reporting periods that drive peak demand. • Success metrics: • Reduction in support ticket volume through automation and self-service • Mean time to resolution (MTTR) and first-contact resolution rate • Client satisfaction (CSAT) scores • Support cost per client over time • Management Team Contribution • Serve as an active member of the senior management team alongside the CEO and Commercial Director, contributing to company strategy, culture, and cross-functional planning. • Act as the internal authority on technology risk, data privacy, and information security — particularly in the context of public sector obligations.

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