Senior Forward Deployed Engineer – Partner Success

Parloa

Senior Forward Deployed Engineer at Parloa delivering AI Agents through partner ecosystem. Leading deployment projects to ensure success at enterprise scale.

Posted 5/14/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $170,000 - $200,000 per yearWebsite

Tech Stack

Tools & technologies

CloudKubernetes

About the role

Key responsibilities & impact

Co-Lead deployment engineering projects: Co-lead the technical execution and design of Parloa’s deployments inside large, complex enterprise environments alongside our partners
Partner Enablement: Educate and enable partners on what’s possible with Parloa’s platform, including capabilities, limitations, trade-offs, and best practice AI Agent architectures
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 partner requirements
Work across systems & stacks: Operate at the intersection of backend engineering, DevOps, and data engineering to ensure seamless delivery
Collaboration with enterprise teams: Collaborate directly with customer and partner engineering organizations to overcome constraints and deliver measurable outcomes
Influence at senior levels: Engage with enterprise architects, partner 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 and partner success.

Requirements

What you’ll need

5+ 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

Comp & perks

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Hard Skills & Tools

software engineeringsystems integrationDevOpsdata engineeringinfrastructure-as-codeKubernetesAPIsdatabasessystems designAI/LLM-powered systems

Soft Skills

collaborationinfluencecreativity under pressurebuilder's mindsetindependenceproblem-solvingcommunicationcustomer focusadaptabilityleadership