Head of Engineering

About Exponential Science Exponential Science operates at the intersection of

blockchain, AI, data intelligence, and emerging deep-tech domains . We build institutional-grade platforms that transform complex, high-volume data into trusted insights for regulators, enterprises, and global partners. Our engineering organisation is foundational to our mission: delivering

secure, scalable, and auditable technology

that meets the highest standards of reliability, compliance, and performance.

Role Overview The

Head of Engineering

is a senior technical and people leader responsible for

engineering architecture, execution excellence, and quality at scale . Acting as the

second-in-command

to the Engineering Director this role ensures that engineering strategy is translated into robust, production-ready systems. You will oversee

software engineering, data engineering, and quality functions , while remaining deeply involved in

system architecture and technical decision-making . This role requires a leader who combines

hands-on architectural and coding depth

with

strong organisational leadership , capable of guiding teams through complexity, scale, and rapid growth.

Key Responsibilities 1. Architecture & Technical Leadership Own and evolve the

end-to-end system architecture

across platforms, products, and data pipelines. Ensure architectural decisions support

scalability, security, performance, interoperability, and regulatory readiness . Lead architecture reviews, technical design approvals, and major technology trade-off decisions. Drive best practices in

cloud-native, distributed systems, APIs, and data-intensive architectures . 2. Software Engineering Leadership & Hands-on Coding Oversee multiple software engineering teams across backend, platform, and integration layers. Ensure consistent engineering standards, coding practices, and delivery discipline. Partner with Product, Security, and Compliance teams to ensure

feature delivery aligns with technical and regulatory constraints . Support technical leaders in execution, planning, and people development. 3. Data Engineering & Platform Excellence Lead the design and operation of

large-scale data ingestion, processing, and analytics pipelines . Ensure data platforms are

reliable, observable, and auditable , supporting real-time and batch workloads. Oversee data quality, lineage, governance, and performance optimisation. Collaborate closely with AI / analytics teams to enable advanced modelling and insights. 4. Quality Engineering & Operational Excellence Own the

quality strategy

across software and data platforms. Establish and enforce automated testing, CI/CD quality gates, and release governance. Ensure high standards of

availability, resilience, and incident management . Drive continuous improvement in

engineering productivity, reliability, and operational maturity . 5. People & Organisation Leadership Act as a

trusted leader and mentor

to senior engineers and managers. Support hiring, onboarding, performance management, and career development across engineering functions. Help scale the organisation with clear roles, ownership models, and accountability. Foster a culture of

engineering excellence, collaboration, and ownership . 6. Strategic & Executive Contribution Partner with the CTO and Engineering Director on

technology strategy, roadmap planning, and investment decisions . Support technical due diligence with partners, clients, and investors. Represent engineering in cross-functional and external forums when required. Ensure engineering execution aligns with

business priorities and long-term vision .

Required Experience & Qualifications Technical & Leadership Background 10+ years of experience in software engineering, including

significant time in architecture and senior leadership roles . Proven experience leading

multi-disciplinary engineering organisations

(software, data, quality). Strong hands-on background in

system and platform architecture . Core Technical Expertise Software Engineering: modern backend systems, APIs, microservices, distributed systems. Data Engineering: high-volume data pipelines, streaming/batch processing, analytics platforms. Cloud & Infrastructure: cloud-native architectures (AWS/GCP/Azure), containerisation, CI/CD. Quality Engineering: test automation strategies, reliability engineering, release governance. Deep-Tech / Regulated Environment Experience (Strong Advantage) Experience in

blockchain, AI/ML platforms, fintech, data intelligence, or regulated industries . Understanding of security, privacy, auditability, and compliance-driven engineering. Leadership & Personal Attributes Architect-level thinker with

pragmatic execution mindset . Calm, structured decision-maker in complex, high-stakes environments. Strong communicator able to bridge

technical and non-technical stakeholders . Natural mentor and people leader who builds trust and accountability. Comfortable operating as

#2 engineering leader , enabling and amplifying the Director.

What We Offer Opportunity to shape the digital identity of a disruptive product. Work in close partnership with the marketing and leadership team. Dynamic, fast-paced environment with room for growth and creativity. Competitive compensation and benefits package.