Staff Engineer (Founding)

Навыки

• AWS
• Azure
• B2B-продажи
• Code review
• CRM-системы
• Docker
• Google Cloud

О компании и продукте

• 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.

Задачи

• 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

Требования

• 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)
• 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

Будет плюсом

• 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

Условия

• 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

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