Engineering Team Lead - AI Innovation

About the Position

We're starting a new engineering team that runs like a small product company inside the company. It picks up real problems and ideas, decides what's worth building, ships fast, and owns what it ships. Sometimes that's an internal automation that saves a team hours every week. Sometimes it's a brand-new product built from an idea. You'd lead this team and build alongside it.

We're hiring a strong engineer first. This is a hands-on role: you'll own projects end to end, from scoping and architecture through development to production. No-code and workflow tools have their place here, but the core of the job is designing and writing production software.

Our stack: Python and TypeScript/Node.js, SQL, AWS, and we use AI-native agentic coding tools like Claude for LLM work.

Responsibilities

• Own the architecture of what the team builds: service boundaries, data flows, integrations, failure modes.
• Build alongside the team: Python and TypeScript services, SQL against live databases, LLM-based agents where they earn their place.
• Turn new product ideas into working prototypes fast, and take the ones that prove out to production. Part of the job is killing weak ideas early and saying why.
• Take incoming automation requests, analyze the process behind each one, and prioritize by financial impact. Some requests deserve a week of engineering. Some deserve a "no". You make that call and explain it to the requester.
• Use AI coding tools daily. What matters is that you drive the tool, verify its output, and catch its mistakes.
• Ship to non-technical users and stay with each product until people actually use it.
• Lead a team of engineers: set direction, review code, unblock, grow them, build AI-native engineering culture.

Requirements

• Senior software engineering background. You've designed and shipped production systems and made the architecture calls that come with them.
• End-to-end delivery. You've taken projects from scoping through architecture and development to production more than once, and owned them after launch.
• Solid Node/Python and SQL; You can read and integrate with code in stacks you didn't choose.
• Real experience building with LLMs and agents in production: at least one shipped LLM-powered feature or agent, and you can talk concretely about evals, prompt versioning, cost control, and failure design.
• An AI-native way of working: agentic coding tools (like Claude Code) as your daily driver, and the judgment to verify what they produce.
• Experience leading engineers. You've run a small team: set direction, reviewed code, unblocked people, and helped them grow.
• Product thinking and ownership. You can take a messy problem, put a number on what it costs, decide what to build first, and stay responsible for the result after it ships.
• Clear communication with non-engineering stakeholders, in English.

Nice to Have

• Experience taking a product from zero to first users.
• Event-driven and workflow-engine experience (Kafka, Temporal, or similar).
• Experience replacing no-code or workflow-tool automations with production code.

We Offer

• Fully remote work format.
• Opportunity to shape the backbone systems of a modern, data-driven digital company.
• A collaborative, innovation-first environment that values initiative and experimentation.
• Paid time off and sick leave.
• Reduced working hours on Fridays during the summer.
• Days-off on US national holidays + your birthday.

About the Company

Don't hesitate to apply. We look forward to meeting you!