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ROLE SUMMARY
Reporting directly to the CEO, the Head of Technology is the executive owner of our end-to-end technology vision, systems architecture, product roadmaps, and technical execution strategy.
You will lead multidisciplinary engineering functions across E&E, AGV Development, UAV Engineering & Operations, IT & Systems (DevOps/SaaS), and AI/ML, transforming advanced robotics R&D into scalable, certifiable, revenue-generating platforms.
This role bridges innovation and commercialization, shaping our transition from high-growth operator to market-leading autonomy company.
ROLE SUMMARY
1.Technology Vision & Architecture
Define and own a 35-year technology strategy across UAV, AGV, Robot autonomy software, AI/ML, SaaS, and edge-cloud systems.
Architect modular, scalable, and secure robotics platforms with OTA capability, fleet telemetry, diagnostics, and cloud orchestration.
Establish system-level reliability engineering practices including fault tolerance, redundancy, and observability.
2.Product & Lifecycle Leadership
Lead the full lifecycle: Research Prototype Validation Field Deployment Certification Scaled Production.
Define Operational Design Domains (ODD) and safety cases for UAV and AGV deployments. Institutionalize structured experimentation while enforcing production-grade engineering discipline.
3.Safety, Compliance & Regulatory
Oversee regulatory engagement and certification pathways (e.g., CAAM, ISO EASA, FAA or equivalent authorities).
Implement operational governance frameworks for fleet safety, UTM integration, and incident response.
Embed cybersecurity, data protection, and secure supply chain practices into product architecture.
4.Engineering & Team Leadership
Build and scale high-performance teams across hardware, firmware, autonomy, backend/frontend software , DevOps, and MLOps.
Design career ladders, succession planning, and leadership bench strength.
Drive cross-functional alignment between R&D, Operations, and Commercial teams.
5.AI, Data & Platform Excellence
Establish robust data pipelines and MLOps frameworks for continuous improvement of perception, planning, and control stacks.
Oversee CI/CD pipelines for firmware, embedded systems, Edge Computing and cloud-native SaaS platforms. Ensure production-grade AI deployment with versioning, monitoring, and rollback capability.
6.Strategic Partnerships & Capital Allocation
Lead supplier and compute strategy (sensors, embedded systems, robotics compute, cloud vendors).
Own technology budget, capex/opex trade-offs, lab infrastructure, fleet expansion, and tooling investments.
Evaluate build-vs-buy decisions across hardware and software stack layers.
7.Executive & External Representation
Serve as technical authority in board discussions, investor due diligence, and enterprise client engagements.
Represent the company at regulatory forums, industry conferences, and strategic partnerships. Support pre/post-sales technical integrations and enterprise pilots.
REQUIRED QUALIFICATIONS & EXPERIENCE
Job ID: 144157339