Job Description Software Engineering Manager (AI Systems & Engineering Delivery) If you’re looking for a role where engineering, delivery, and product direction all sit in your hands , this is it. This team is building the orchestration layer that lets organisations actually use AI in real time, not just talk about it. Their platform is already automating high-stakes workflows for customers who need accuracy, speed, and technical depth . Demand is scaling fast, and they need someone who can keep engineering velocity high without compromising quality , while making key technical and delivery decisions. The Role You’ll take ownership of day-to-day planning, delivery, and technical direction across a sharp, senior engineering team. This isn’t a “manager with no context” role, you’ll stay close to the code , work directly with customers, and help shape how the platform evolves as new workloads, integration patterns, and AI use-cases land. You’ll be deeply involved in prioritisation and trade-off decisions , architecture discussions and system optimisation, delivery pipelines, QA, debugging, and risk management, as well as mentoring engineers and influencing team culture. Think of this role as a hybrid of software engineering lead, project manager, and product delivery owner , with real accountability for outcomes. Why This Role Matters The team is building foundational infrastructure for agentic AI, distributed collaboration, and real-time decision-making . Timelines are tight, technical complexity is high, and customers are pushing for more. Your work directly impacts product pace, quality, and the company’s ability to scale sustainably . You’ll Thrive Here If You Have 3 years leading teams or managing technical delivery in engineering-heavy environments Have recent hands-on full-stack experience (Node.js, React, PostgreSQL) — you’ve been coding and shipping in the last 6–18 months Understand how to deliver AI-powered products , including practical experience with LLMs (ChatGPT, Claude, Gemini, Llama, etc.) Are comfortable across the ecosystem: APIs, agentic frameworks, MCP, RPA, vector databases, distributed systems Know how to ship scalable systems on Azure , with strong grounding in API design and real-time collaboration features Can make trade-offs, take ownership of decisions, and be accountable for outcomes Can juggle multiple client projects , keeping focus while guiding engineers Want a seat close to leadership and are ready to influence product direction Tech You’ll Touch Node.js, React, PostgreSQL, Redis, pgvector, LangChain, Llama, ChatGPT, Claude, MCP, Azure, Docker, Kubernetes, GitHub Actions CI/CD. What’s in It for You High impact : Your decisions directly drive engineering velocity and customer outcomes Real complexity : AI systems, distributed architectures, multi-agent orchestration Founder access : Work directly with a deeply technical founding team and some of the best execs and investors in Australia Speed & ownership : Minimal bureaucracy, maximum autonomy Equity : Early-stage upside in a fast-growing company for the right candidate Who You Are 1Practical, curious, and unflappable Recently hands-on in code, but ready to lead a team and make high-stakes decisions Loves clarity, hates blockers, and knows how to keep a team aligned without micromanaging Comfortable with the messy, iterative nature of AI product development Ready to own outcomes, influence culture, and make trade-offs that matter Interested? Apply now
