Job Opportunities API

ABOUT A1 There are over 5 billion users using basic applications today such email, notes, tasks that are not AI-native. Our mission is to build a proactive smart assistant for everyday users to bring intelligence to conversations, errands, organising and workflows, with minimal prompting. Our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. The system must handle multi-step reasoning, interact with external tools, and remain reliable despite non-deterministic model behavior. Our objective is to help users complete tasks daily enjoyable with over ~90%* reduced time.   ROLE You will architect, build, and scale the internal technology ecosystem that accelerates workforce productivity, eliminates operational friction, and gives the company a compounding infrastructure advantage. You will treat internal tools with the same product rigour and user-centricity as any external product — because the quality of internal systems directly determines organisational velocity. You will lead a cross-functional engineering team, make high-stakes build-vs-buy decisions, and drive AI adoption into internal workflows. This role requires someone who can see the company’s operational architecture as a system design problem and solve it with software.   WHAT YOU WILL DO Internal Platform Strategy & Roadmap - Own the end-to-end strategy and roadmap for all internal tools, platforms, and automation — treating internal technology as a product, not a cost centre. - Make strategic build-vs-buy decisions, knowing when a custom-built solution creates a lasting advantage and when a SaaS tool is the right answer. - Map current and next-state process flows across the entire internal toolchain and lead systems transformation for internal teams. Systems Architecture & Engineering - Architect and maintain the full engineering lifecycle for internal platforms — from ideation and design through deployment, iteration, and deprecation. - Build seamless, API-first ecosystems that integrate internal tools across HR systems, finance platforms, knowledge management, CRM, and developer infrastructure. - Own system reliability and operational resilience: establish success metrics for uptime, performance, and employee productivity. - Design scalable, secure architectures using cloud-native principles, microservices, and modern integration patterns. AI & Automation - Lead the strategy for integrating AI and LLMs into internal workflows — reimagining how knowledge is shared, decisions are supported, and work is executed across the organisation. - Deploy intelligent automation tools — including AI where appropriate — to streamline internal processes and improve decision-making. - Evaluate and integrate AI-assisted troubleshooting, proactive recommendations, and intelligent automation into the internal platform layer. - Stay ahead of technology trends and drive continuous experimentation — you build prototypes, not slide decks. Developer Experience & Productivity - Reduce cognitive load for internal users by providing golden paths, standardised workflows, and self-service capabilities. - Ensure frictionless onboarding and seamless integration across the tool ecosystem. - Measure platform success through adoption rates, user satisfaction, DORA metrics, and productivity impact — not feature count. Team Leadership - Build, lead, and mentor a high-performing team of engineers and engineering managers. - Cultivate a collaborative engineering culture rooted in ownership, speed, and craftsmanship. - Provide technical mentorship and create growth paths for individual contributors and managers alike. - Foster psychological safety and a feedback-driven environment that empowers people to do their best work. Cross-Functional Collaboration - Partner with People, Finance, Engineering, Legal, and Operations leadership to translate complex busi