parloa

Senior Forward Deployed Engineer (f/m/d)*

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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

Data EngineeringDevOpsKubernetes

Domain Knowledge

  • Engineering

Benefits & Perks

Time Off

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.