Staff Engineer (Founding)
About the Role
We are a fast-growing, early-stage B2B SaaS company automating inside sales workflows - quoting, order processing, and customer request handling - for distributors and manufacturers using AI. Our platform integrates deeply with enterprise ERP and CRM systems, and our AI capabilities span specification parsing, voice agents, and email automation.
We're hiring a Founding Staff Engineer to serve as the technical backbone of our engineering organization. This is a high-ownership, hands-on role for someone who thrives at the intersection of deep technical craft, cross-product architecture, and team mentorship. You'll set the bar for quality, reliability, and engineering standards across the organization - and you'll do it primarily by writing and shipping production code.
What You'll Do
Act as the technical anchor across multiple products and development streams, owning the highest-leverage engineering work.
Design and evolve architecture decisions - core systems, shared frameworks, and critical infrastructure - that prevent long-term dead-ends.
Spend the majority of your time writing and shipping production code, leading by example.
Identify and eliminate technical debt through thoughtful refactoring and by raising engineering standards.
Mentor engineers via code review, pairing, and direct feedback to improve overall team output and reduce hidden risk.
Contribute to the architecture and implementation of AI capabilities, including LLM pipelines and data infrastructure.
What We're Looking For
Requirements
8+ years of software engineering experience with a proven track record of solving genuinely hard problems in production systems.
Deep full-stack expertise with a strong focus on backend, APIs, and infrastructure; comfortable on the frontend when needed (Python, React, TypeScript).
Demonstrated experience designing and evolving systems across multiple products and teams, including long-term architecture strategy.
Experience contributing to AI capabilities, including design and implementation of LLM pipelines and data infrastructure.
Cloud and DevOps fluency: containerization (Docker), cloud platforms (Azure / AWS / GCP), and infrastructure as code (Terraform).
Nice to Have
Experience building or integrating large-scale AI systems or data pipelines beyond LLM integration.
Background in enterprise SaaS, ERP/CRM integrations, or distribution and manufacturing software.
Who You Are
A technical leader who leads through doing - you multiply team effectiveness without moving to a management track.
You notice and fix slipping quality without being asked; deep ownership is your default mode.
Mission-driven, pragmatic, and decisive under uncertainty.
Willing to work on-site in Munich with a high level of intensity and commitment.
Location
This role is on-site in Munich, Germany. Candidates must be willing to relocate to or already be based in Munich. Visa sponsorship is not available.
Compensation & Benefits
Compensation details were not provided for this role. Our team is small and equity upside is meaningful - this is an early, founding-level position with significant long-term ownership potential.
