Senior Forward Deployed Engineer at Parloa leading AI deployment projects in enterprise settings. Collaborating across systems to deliver technical integrations and ensure customer success in Germany.
Responsibilities
Own deployment engineering projects:
Lead the technical execution (incl. product engineering) of Parloa’s deployments inside large
complex enterprise environments
Design for scale and resilience:
Architect deployment solutions that meet enterprise-grade requirements for performance
reliability
and security
Engineer solutions where none exist:
Build custom extensions
integrations
and configurations to close product gaps and meet enterprise requirements
Work across systems & stacks:
Operate at the intersection of backend engineering
DevOps
and data engineering to ensure seamless delivery
Partner with enterprise teams:
Collaborate directly with customer engineering organizations to overcome constraints and deliver measurable outcomes
Guide and mentor others:
Collaborate with and provide technical guidance to more junior in-field engineers
Influence at senior levels:
Engage with enterprise architects and senior technical stakeholders
discussing solutions and architectures in depth to ensure alignment and credibility
Debug under pressure:
Rapidly unblock issues in mission-critical environments and ensure customer success.
Shape the product:
Act as the feedback loop between the field and our core engineering teams - turning deployment learnings into platform evolution
Deliver long-term impact:
Work closely with Deployment Strategists to ensure scalable architectures and durable customer value.
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
Strong plus: Experience building or integrating AI/LLM-powered systems (e.g.
embedding agent workflows
vector databases
prompt orchestration)
Benefits
Deutschland ticket
Urban Sports Club
Job Rad
Nilo Health
weekly sponsored office lunches.
Competitive compensation and equity package.
Flexible working hours
28 vacation days
workation opportunities.
Access to a training and development budget for continuous professional growth.
Regular team events
game nights
other social activities.
Work from a home and/or our beautiful office(s) in the heart of Berlin or Munich with adjustable desks
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