We're working with an early-stage, well-funded startup building an intelligent process automation platform designed to help organizations streamline complex operational workflows through advanced machine learning systems.

This is a founding engineering role at a critical development phase. The core product is functional and in early customer testing, but requires significant architectural refinement and optimization to meet production standards and scale reliably.

What You'll Do

• Elevate an existing ML platform from MVP to production-grade infrastructure
• Design and build scalable system architectures for workflow automation
• Develop stateful, orchestrated systems with robust process management
• Establish architectural principles around performance, resilience, and maintainability
• Implement comprehensive monitoring, audit trails, and system visibility
• Create clear data provenance and decision tracking mechanisms
• Define the technical strategy and multi-year product vision
• Maintain hands-on development while establishing foundational systems

What You'll Have

• Proven track record scaling ML/AI systems from early prototype to enterprise production
• Deep expertise in distributed systems, workflow orchestration, and system design
• Ability to move quickly while introducing necessary governance and structure
• Experience integrating with legacy systems and complex data architectures
• Strong system design intuition and product-technical judgment
• Comfort navigating ambiguity with high autonomy

Who you are

• Clear communicator who thrives collaborating with founders and teams
• Brings strategic thinking and original perspective to technical decisions
• Collaborative, pragmatic, and resourceful
• Energized by building from scratch and shaping technical direction

Compensation

• Base salary: $150K–$175K (negotiable for exceptional candidates)
• Equity participation and meaningful ownership
• Standard benefits package



Location

• East Coast preferred (Remote flexibility)

This role offers the opportunity to establish core technical foundations, make significant architectural decisions, and directly influence the company's long-term direction and success.