Job Closed
This listing is no longer active.
Amplify your customer service experience with an AI agent management platform.
Senior Forward Deployed Engineer
Location
Germany
Posted
151 days ago
Salary
0
Seniority
Senior
Job Description
Senior Forward Deployed Engineer
Parloa
• 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
Job 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
- Join a diverse team of 40+ nationalities with flat hierarchies and a collaborative company culture.
- Opportunity to build and scale your career at the intersection of customer-facing roles and engineering in a dynamic startup on its journey to become an international leader in SaaS platforms for Conversational AI.
- Deutschland ticket, Urban Sports Club, Job Rad, Nilo Health, weekly sponsored office lunches.
- Competitive compensation and equity package.
- Flexible working hours, 28 vacation days and workation opportunities.
- Access to a training and development budget for continuous professional growth.
- Regular team events, game nights, and other social activities.
- Work from a home and/or our beautiful office(s) in the heart of Berlin or Munich with adjustable desks, social areas, fresh fruits, cereals, and drinks.
Related Guides
Related Categories
Related Job Pages
More Engineer Jobs
Senior Threat Response Engineer
ZscalerZscaler helps leading organizations in 180+ countries securely transform their networks and applications for a mobile and cloud-first world. Founded in 2008, th
• Performing investigations into detected threats and using customers’ security products to analyze, contain, and remediate threats in their environments • Providing customers with thorough reports of the actions taken to ensure they understand what you did to clean up their environment and protect them from further damage • Identifying effective response strategies to further enhance Red Canary’s customers’ security posture • Actively engaging and collaborating with the Detection Engineering, Threat Hunting, Intel, and Product Management teams to develop new ways of performing timely remediation of identified threats • Lead team projects and mentor peers, while providing strategic insights, recommendations, and operational support for product improvement and overall team success • Participating in an on-call rotation to provide 24x7 remediation
• Lead engineering projects • Expand automated manufacturing intelligence • Develop geometry-driven algorithms • Turn production data into insight
Senior Deep Learning Algorithm Engineer
NVIDIANVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Applications for this job will be accepted at least until June 15, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
• Understand, analyze, profile, and optimize deep learning training and inference workloads • Collaborate with researchers and engineers • Implement production-quality software across NVIDIA's platform • Build tools to automate workload analysis and optimization
• Act as customers technical PoC post-sales • Work on integrating the XBOW product with customer environments • Lead self-hosted product deployments, support and upgrades • Support feature prototyping • Provide Tier 2 support for customer technical issues • Be open to supporting pre-sales support roles when required • Provide feedback to product teams on what you are seeing in the Field • Help explain the technical and business value of the product to users and stakeholders • Support hand-off between pre and post sales teams • Run Expert Services engagements




