
Crypto • Web 3
Input Output (IOHK) is a technology company focused on research and development in the field of blockchain and cryptocurrencies. It is known for its key role in developing the Cardano blockchain platform, which aims to offer a more secure and scalable environment for digital transactions and smart contracts. IOHK places a strong emphasis on academic research and peer-reviewed development methods, contributing to its reputation in the blockchain space.
201 - 500 employees
Founded 2015
₿ Crypto
🌐 Web 3
October 16

Crypto • Web 3
Input Output (IOHK) is a technology company focused on research and development in the field of blockchain and cryptocurrencies. It is known for its key role in developing the Cardano blockchain platform, which aims to offer a more secure and scalable environment for digital transactions and smart contracts. IOHK places a strong emphasis on academic research and peer-reviewed development methods, contributing to its reputation in the blockchain space.
201 - 500 employees
Founded 2015
₿ Crypto
🌐 Web 3
• You will provide group-wide leadership for how engineering is defined, executed, and assured across IOG and its ventures. • Bringing advanced strategic and systems thinking, you will set and evolve the company’s engineering operating system-the standards, architectures, processes, and tooling that guide all software development, while embedding a culture of quality assurance, formal methods, and AI-enabled engineering practices to enhance reliability, scalability, and security. • Fostering a culture of continuous delivery, efficiency, and disciplined engineering, defining what good engineering looks like, specifying the tools and methods to use, and ensuring their consistent application across the entire technology stack. With strong people leadership, the VP leads a small, high-impact team that maintains accountability and drives engineering performance. • This is a senior enterprise role that integrates insights from competitive intelligence, research, and architecture into actionable standards and is accountable for ensuring these standards are adopted, applied, and continuously improved across the organisation. • By combining deep analytical and synthesis capabilities with strong executive communication and enterprise leadership, you will enable innovation at scale while safeguarding consistency, compliance, and long-term business impact. Recognising the transformative role of AI in software development, you will define how AI is integrated into engineering practices, including AI-generated code, automated testing, and continuous improvement.
• Typically 15+ years of progressive engineering leadership, including significant tenure in global executive roles (SVP/EVP/CTO or equivalent). • At least 5 years in senior leadership roles, with a track record of successfully managing cross-functional teams • Proven record of setting and enforcing enterprise-wide engineering standards and operating models, and ensuring their organisation-wide adoption. • Demonstrated success in owning and managing CI/CD platforms and governing the selection and lifecycle of programming languages and key tools. • Proven ability to manage budgets and resources effectively in a complex, multi-stakeholder environment • Strong track record of shaping corporate technology strategy and influencing board-level decisions. • Advanced degree in computer science, software engineering, or a closely related field; • Proven ability to manage budgets and resources effectively in a complex, multi-stakeholder environment. • **Strategic and systems thinking** – Anticipates long-term technology trends and integrates them into the company’s engineering operating model and enterprise strategy. • **Engineering operating system leadership** • Designs, implements, and continually evolves organisation-wide engineering standards, processes, architectures, and tooling; ensures adoption and sustained compliance across all teams and ventures. • Understands and applies AI/ML concepts to improve engineering processes, including intelligent automation, predictive analytics for CI/CD, and AI-assisted quality assurance. • **Quality assurance mastery** – Applies formal methods, advanced testing frameworks, and secure development life-cycle practices to achieve reliable, scalable, and secure software delivery. • **Analytical and synthesis capability** – Evaluates complex technical, operational, and organisational data, extracting insights that guide enterprise decisions and engineering investments. • **Executive communication and influence** – Communicates complex engineering and assurance topics with clarity and impact to the CEO, Board, and senior stakeholders, enabling evidence-based decision making. • **Enterprise leadership** – Builds and leads the Engineering department, develops senior engineering leaders, and fosters a culture of excellence, accountability, and continuous improvement. • **Cross-functional collaboration** – Partners effectively with research, product, security, and operations leadership to integrate standards and quality practices into product and platform development. • **Data-driven decision making** – Defines and monitors KPIs to assess adoption, compliance, product quality, and engineering health; adjusts strategies based on measurable outcomes. • **Adaptability and resilience** – Leads through change and uncertainty, maintaining strategic clarity and operational discipline while enabling innovation. • **Ethical and evidence-based judgement** – Grounds all engineering and organisational decisions in integrity, transparency, and verifiable data.
• Remote work • Laptop reimbursement • New starter package to buy hardware essentials (headphones, monitor, etc) • Learning & Development opportunities • Competitive PTO
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