parloa
Senior Forward Deployed Engineer (f/m/d)*
At a Glance
- Location
- Berlin Office; Munich Office; Remotely in Germany
- Work Regime
- remote
- Experience
- 7+ years
- Posted
- 2026-03-02T08:13:52-05:00
Key Requirements
Required Skills
Domain Knowledge
- Engineering
Benefits & Perks
working hours, 28 vacation days and workation opportunities.
Requirements
7+ years of professional experience in software engineering, systems integration, DevOps, or data engineering roles with direct customer impact
Proven track record of leading deep technical deployments and integrations in large-scale enterprise environments
Strong technical depth across backend engineering, infrastructure-as-code, Kubernetes/cloud platforms, APIs, and databases - with proven experience in systems design and the ability to go hands-on in production systems
Ability to operate independently in ambiguous, high-responsibility settings, especially when deploying live to enterprise systems
A builder’s mindset with bias for action, creativity under pressure, and an obsession with making things work in the real world
Degree in Computer Science, Engineering, or related technical field
Responsibilities
As a
Senior Forward Deployed Engineer
(f/m/d) at Parloa, you’ll be on the front lines of enterprise AI adoption - delivering cutting-edge technology into some of the most complex environments in the world. Your mission: lead end-to-end deployment projects from an engineering perspective - not just implementing what exists, but engineering what’s required to make it succeed at enterprise scale.
FDEs are our in-field product engineers. You will build what doesn’t yet exist, adapt architecture to enterprise realities, and engineer integrations across systems and APIs to make deployments successful. Your work is hands-on and code-first - you’ll be building, debugging, and engineering solutions directly in the field. What you ship not only makes deployments succeed, it also defines how customers experience Parloa and shapes what our product becomes.
This is not about maintenance. This is about engineering what makes it work in production, under real-world enterprise constraints, at speed and scale.