Overview
In this role you lead a small autonomous team to design, build, test, deploy, and run AI-enabled, end-to-end software for workforce management, planning, and project delivery in real-world customer environments. You shape technical direction, ensure quality and performance at scale, and directly impact customers by shipping practical features. You work closely with cross-functional teams to translate customer needs into durable solutions, leveraging AI tooling to accelerate value. This is a hands-on leadership role at the intersection of software engineering and AI-enabled workflows.
Pay / Benefits
- hybrid work opportunities
- flexible hours
- inclusive workplace experiences
- global team collaboration
Responsibilities
- Lead a small autonomous team, set technical direction and drive delivery and quality
- Design and ship full-lifecycle features across front-end and back-end
- Build and consume APIs and event-driven services connecting data across systems
- Make performance and scalability decisions under load
- Engage with customers environments to validate assumptions and feed findings back to the build
- Document rationale and raise engineering practices
- Own end-to-end ownership from design to operation
Key requirements
- Leadership experience and ability to mentor engineers
- Ownership mindset; shipping iteratively with partial briefs
- Depth in at least one area (front-end, back-end, data, quality, security, platform or applied AI) and cross-stack capability
- Customer- and outcome-driven mindset; balance technical decisions with business impact
- Fluency with AI tools and agentic patterns in real engineering work
- Leadership and people mentorship
- Customer focus and outcome orientation
- Autonomy and initiative
- Full-stack development
- Modern general-purpose languages
- API design and event-driven architectures
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