Parloa logo
Parloa

Amplify your customer service experience with an AI agent management platform.

Senior Forward Deployed Engineer – Partner Success

Location

United States

Posted

14 days ago

Salary

$170K - $200K / year

Seniority

Senior

Bachelor Degree5 yrs expEnglishCloudKubernetes

Job Description

Senior Forward Deployed Engineer – Partner Success

Parloa

• 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.

Job Requirements

  • 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

  • .

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