• Architect the future version(s) of our key systems like databases, distributed jobs and many others, while taking into account our scaling needs. • Design and implement developer tooling that makes development and deployments safer, reproducible, and easy to rollout. • Drive excellence in observability and monitoring while guiding incident response to ensure issues are resolved quickly and we build a great on-call experience. • Collaborate with engineering teams to maintain a high level of technical quality across our systems while addressing debt, upgrades and platform improvements. • Mentor engineering on how to design reliable, fault-tolerant systems and easy-to-use runbooks for when things go wrong.

• Build AI-powered marketing infrastructure • Design and operate AI agents that run marketing workflows autonomously — including lead enrichment, campaign personalisation, content production, and signal monitoring • Build experimentation infrastructure that tests messaging, channels, and sequences faster than traditional marketing teams thought possible • Create self-improving systems with evals, feedback loops, and guardrails that get better without constant supervision • Build and optimise outbound engines using Clay, Apollo, RB2B, Unify, Instantly, and similar tools • Surface buying signals (hiring, funding, competitor moves, contract renewals) and route them to sales with full context • Design enrichment workflows that prioritise accounts automatically and identify warm intro paths • Own lifecycle marketing: nurture sequences, re-engagement campaigns, and credit consumption alerts that drive expansion • Run 1:many ABM campaigns targeting industry marketing account lists • Build and iterate on paid campaigns (LinkedIn, Google, Reddit) with rapid A/B testing • Own experimentation velocity: run 4–6 marketing experiments per month with clear hypotheses, metrics, and iteration cycles • Document what works and systematise successful experiments into repeatable playbooks • Track pipeline influence, reply rates, meetings booked, and cost per meeting across all channels

• Develop, deploy, and maintain Linux Operating System configurations for Safety-Critical and non-Safety critical applications. • Leads and/or contributes to activities to develop, document and maintain architectures, requirements, algorithms, interfaces and designs for software systems. • Develops code and integrates complex software components into a fully functional software system. • Develops software verification plans, test procedures and test environments, executing the test procedures and documenting test results to ensure software system requirements are met. • Provides technical leadership for software projects. • Leads development, selection, tailoring and deployment of processes, tools and metrics. • Plans, executes and documents software research and development projects. • Serves as a subject matter expert for software domains, system-specific issues, processes and regulations. • Works under minimal direction.

• Deliver high impact, LLM enabled solutions with a focus on quality, scalability, and long-term sustainability. • Help define, champion, and evolve best practices for AI driven development across the engineering organization. • Collaborate cross functionally, proactively identifying opportunities to support teams and improve shared systems. • Lead by example through technical influence, mentorship, and confident knowledge sharing across teams. • Reinforce a team first mindset where outcomes, learning, and ownership are shared.