Accelerant
Technical Lead (AI-Builder)
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Accelerant is changing how software is built.
We're moving from traditional engineering structures towards small, autonomous product squads where engineers own outcomes end-to-end. We're looking for a Technical Lead who combines strong full-stack engineering skills with the technical judgement, communication and leadership to help guide a high-performing squad.
This remains a hands-on engineering role. You'll continue to design, build and ship high-quality software while providing technical direction, mentoring engineers and helping the team solve complex problems. It's about combining strong technical fundamentals with modern AI workflows to deliver meaningful customer impact.
What You'll Do:
- Build and ship customer-facing products, platforms and intelligent workflows.
- Own technical solutions from concept through production.
- Provide technical direction and make pragmatic architectural decisions.
- Develop scalable APIs, services and modern web applications.
- Support and mentor engineers while raising technical standards across the squad.
- Use AI throughout the development lifecycle to accelerate coding, testing, debugging and delivery.
- Improve reliability, performance, observability and developer experience.
- Collaborate closely with Product, Design and Engineering to solve real customer problems.
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What We're Looking For:
- Strong full-stack engineering experience with modern web applications.
- Solid TypeScript/JavaScript skills across frontend and backend.
- Experience building cloud-native systems and scalable services.
- Strong engineering judgement, architecture and ownership mindset.
- Previous experience as a Technical Lead or equivalent.
- Comfortable influencing technical direction without relying on formal authority.
- Strong communication skills and the ability to bring people with you.
- Comfortable working in ambiguous environments and moving quickly.
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AI Experience Matters:
- Daily use of AI coding tools and workflows.
- Automating engineering tasks through AI.
- Using AI for planning, testing, debugging and delivery.
- Experience experimenting with AI agents, LLM workflows or automation.
Technology stack includes: TypeScript, Node.js, Svelte, AWS, PostgreSQL, Snowflake, Redis and SQL.
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