Senior Software Engineer

Join Axon and be a Force for Good. At Axon, we are on a mission to Protect Life. We explore society’s most critical safety and justice issues with our ecosystem of devices and cloud software. We connect with candor and care, seeking diverse perspectives from customers, communities and each other. Your Impact This role is for builders who thrive in 0-1. In Axon’s Global Artificial Intelligence pillar, you’ll build a stealth product with a small team and a big mission: deliver something the market hasn’t seen, and do it with pace. What You’ll Do

Lead the build of major product surfaces and services; own features end-to-end from design to operations. Drive product clarity in ambiguity: define the problem, shape MVP scope, set success metrics, and align stakeholders on what “done” means. Build and ship software AI-natively across the SDLC (planning, implementation, testing, code review, debugging, and operations), with clear validation practices to maintain correctness and quality. Measure and improve delivery outcomes using engineering metrics (lead time, PR throughput, defect rates, test coverage, incident load) and iterate on how the team ships. Make architecture choices that balance speed and scalability, knowing when “temporary” becomes “permanent.” Build and enforce engineering hygiene that doesn’t slow you down (testing strategy, CI/CD, observability, sensible release practices). Partner tightly with Product and Design (and operate effectively when they’re not in the room) to prioritise, sequence, and ship the highest-value increments. Mentor engineers and help establish a high-trust, high-ownership culture.

Location and Reporting Work Location: This role is based out of our London office and follows a hybrid schedule. Team members work onsite Tuesdays through Fridays, with flexibility to work remotely on Mondays unless an approved workplace accommodation is in place. Reports to: SVP, AI. What You Bring

Bachelor’s degree or equivalent experience. 7+ years of software development experience, including ownership of product capabilities in production. Demonstrated, heavy AI-native delivery: consistent use of AI across the SDLC with concrete examples of faster delivery and maintained/improved quality. Strong engineering judgment under uncertainty; ability to simplify and still build something great. Experience building cloud-native services and/or modern user experiences that scale. Comfort working across boundaries: product, design, customers, and platform dependencies. Product judgment sufficient to ship: ability to frame problems, define MVP scope, make trade-offs, and drive to measurable customer outcomes., Startup or internal incubation experience. Experience integrating AI/LLM capabilities into product experiences responsibly. Track record of accelerating teams through strong technical leadership. Experience operating in PM-light environments where engineers help drive prioritisation and discovery alongside delivery.

Competitive base salary and RSUs Comprehensive pension plan with matching contribution Private health insurance & cash plans 30 days paid holiday + UK public holidays Enhanced maternity/paternity leave GymPass subscription Life assurance & income protection Career growth support and wellness resources