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SnapLogic

Forward Deployed Engineer

SnapLogic

Forward Deployed Engineer leading complex deployments of AI solutions for enterprises at SnapLogic. Collaborating with teams and customers for successful integration and adoption.

Posted 7/15/2026full-timeRemote • California • 🇺🇸 United StatesMid-LevelSenior💰 $150,000 - $200,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive experience in technical deployment and engineering, with a strong focus on infrastructure, cloud systems, and user experience. Capable of leading complex projects, collaborating with cross-functional teams, and adapting to dynamic environments.

Highest-signal resume keywords
5+ Years Technical Deployment ExperienceLinux Infrastructure ManagementDocker ContainerizationCloud Systems DeploymentEnterprise SSO/OAuth Integration

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Technical DeploymentInfrastructure EngineeringSystem DesignModel Behavior UnderstandingWorkflow Impact Measurement
Soft Skills
Stakeholder CommunicationProblem-SolvingMentorship
Tools & Technologies
LinuxDockerCloud PlatformsEnterprise SSOOAuth
Industry Keywords
End-to-End DeploymentProduction AdoptionUser ExperienceConnected SystemsTrustworthy Agents

Tech Stack

Tools & technologies
CloudDockerLinux

About the role

Key responsibilities & impact
  • Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of Jean-Paul in production alongside our earliest, most strategic customers.
  • Own discovery, technical scoping, connectivity, and rollout, partnering directly with the customer's engineering and business teams.
  • Measure success through production adoption, measurable workflow impact, and field feedback that changes what we build next.
  • Work closely with our Product, Engineering, Security, and GTM teams.
  • Travel to customer sites is up to 50%.

Requirements

What you’ll need
  • Bring 5+ years of hands-on engineering or technical deployment experience, including real infrastructure work (Linux, Docker, networking, at least one major cloud, enterprise SSO/OAuth scar tissue)
  • Have built or deployed systems powered by LLMs or agents, and understand how model behaviour actually affects what a user experiences
  • Know the difference between a connected system and a usable one, and have the judgment to build the context layer that makes an agent trustworthy
  • Are comfortable sitting with a confused stakeholder, no spec, and can surface a future state they couldn't articulate themselves
  • Have made other people better at something technical
  • Are comfortable being first: there's no runbook here, you write it

Benefits

Comp & perks
  • Competitive salaries and equity packages
  • Global wellness benefits