Provide strategic technical leadership

• Define and own the technical direction and architecture across CulturePulse platforms.
• Ensure engineering strategy aligns with company priorities, including B2G and B2B products.
• Make high-impact technical decisions around architecture, scalability, reliability, and cost efficiency.
• Evaluate trade-offs, risks, and long-term implications of technical choices.
• Guide build vs buy vs partner decisions across infrastructure, AI tooling, and platforms.

Own platform reliability, operations, and risk

• Be accountable for system reliability, availability, and operational resilience.
• Ensure monitoring, alerting, incident response, and post-incident learning are in place and effective.
• Oversee maintenance cycles, technical debt management, and system upgrades.
• Ensure platforms meet expectations for stability and predictability in real-world operational use.
• Proactively identify technical and operational risks and ensure mitigation plans exist.

Security, privacy, and compliance leadership

• Own engineering-level security practices across systems and teams.
• Ensure platforms meet security, privacy, and compliance expectations for regulated and high-trust environments.
• Oversee secure architecture, access control, and data-sensitivity considerations.
• Partner with leadership on audits, governance, and client-facing security or compliance requirements.
• Ensure engineering teams understand and apply security and privacy principles in day-to-day work.

Delivery, prioritisation, and execution

• Own engineering delivery planning, prioritisation, and execution across teams.
• Balance feature development, platform maintenance, innovation, and operational work.
• Establish predictable delivery cycles and realistic commitments.
• Surface delivery risks early and communicate clearly with stakeholders.
• Ensure engineering work is transparent, trackable, and aligned with product and business goals.

Lead and grow the engineering organisation

• Lead a multi-disciplinary engineering team (frontend, backend, data, ML/AI, infrastructure).
• Own hiring, onboarding, mentoring, and performance development.
• Establish and uphold engineering standards, best practices, and healthy team processes.
• Foster a culture of ownership, accountability, collaboration, and continuous improvement.
• Ensure knowledge sharing, documentation, and continuity across the organisation.

Collaborate with product, data, and leadership

• Work closely with Product leadership to translate goals into executable technical plans.
• Provide clear technical input on feasibility, trade-offs, timelines, and constraints.
• Act as the primary technical counterpart for executive leadership and key external stakeholders.
• Support cross-functional alignment between engineering, data science, design, and operations.

Must - have requirements

• Senior experience in engineering leadership (Head of Engineering, Engineering Manager, or equivalent).
• Strong technical background in modern backend systems, cloud platforms, and distributed architectures.
• Proven experience owning production systems with reliability, security, and operational accountability.
• Ability to lead and mentor engineers while maintaining technical credibility.
• Experience working closely with Product and Executive stakeholders.
• Strong communication skills and ability to explain complex technical topics clearly.
• Comfort operating in fast-moving, ambiguous environments with evolving priorities.

Nice to have

• Experience in public-sector, defence, or other regulated environments.
• Familiarity with AI/ML platforms, data pipelines, or analytics-driven products.
• Experience with security, privacy, and compliance frameworks (e.g., GDPR, ISO-aligned practices).
• Background in scaling engineering teams or platforms in early-stage or growth-stage companies.

• Not a typical, boring 9 - 5. Flexible work with an emphasis on measurable results rather than needless processes.
• Real ownership where you can take initiative, test ideas quickly, and bring them into production.
• Direct opportunity to shape the product’s technical direction and build your own solutions.
• Close collaboration with domain experts and hands-on mentorship from experienced leaders.
• Small, high-performing team with no corporate bureaucracy, fast decisions, and strong support for new ideas.
• Work on projects with real impact, including cooperation with the UN, NATO, and the EU.

An AI company specializing in social listening and text analysis.