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Redpanda Data

Forward Deployed Engineer

Redpanda Data

Forward Deployed Engineer building production AI agents, integrations, and data pipelines for Redpanda’s enterprise customers. Embedded onsite during live customer engagements and owning technical delivery through handoff.

Posted 8/20/2026full-timeNew York City • New York • 🇺🇸 United StatesMid-LevelSenior💰 $194,400 - $228,800 per yearWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in building production-quality agents and data pipelines, with a strong focus on backend systems and customer integration. Proven ability to communicate effectively with engineering teams and manage technical deliverables in dynamic environments.

Highest-signal resume keywords
Production Software Engineering ExperienceBuilding Agents and Integrating Complex SystemsCustomer-Facing Communication SkillsExperience in Pre-IPO B2B SaaSBackground in Streaming or Real-Time Data Systems

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
Backend SystemsData PipelinesAPIsAgent SystemsLLM APIsSoftware ShippingCodebase IntegrationTechnical Deliverables ManagementProduction Deployment
Soft Skills
Customer CommunicationCollaborationTraining and Mentoring
Tools & Technologies
RedpandaKafkaFlink
Industry Keywords
B2B SaaSRegulated IndustriesAir-Gapped Environments

Tech Stack

Tools & technologies
Kafka

About the role

Key responsibilities & impact
  • Build production-quality agents, integrations, and data pipelines on Redpanda ADP inside customer environments and codebases
  • Rapidly understand unfamiliar codebases, data environments, and constraints
  • Own technical deliverables from design through production deployment and clean handoff
  • Collaborate daily with customer engineering teams as Redpanda's technical representative
  • Integrate solutions with customers' existing systems and document maintainable implementations
  • Train customer teams and drive independence after handoff
  • Identify recurring engagement patterns and feed productization opportunities back to Product and Engineering
  • Report to the Head of FDE
  • Travel onsite 30–50% during active engagements

Requirements

What you’ll need
  • Production software engineering experience with backend systems, data pipelines, APIs, or agent systems
  • Experience building agents, working with LLM APIs, or integrating complex systems in production
  • Ability to work in unfamiliar codebases, technology stacks, and constrained environments
  • Customer-facing communication skills with engineering leads, architects, and individual contributors
  • Experience shipping software at a customer site or in a deployment context
  • Experience working at a pre-IPO B2B SaaS company in the past 5 years
  • Experience working embedded within a customer or external organization's codebase
  • Authorized to work in the US without visa sponsorship
  • Willingness to travel 30–50% during active engagements
  • Bonus: experience with forward-deployed or customer-embedded engineering models
  • Bonus: background in streaming or real-time data systems such as Kafka, Flink, or Redpanda
  • Bonus: experience in regulated industries or air-gapped environments
  • Bonus: experience as the first or only technical person in a customer engagement

Benefits

Comp & perks
  • Remote-first work arrangement
  • Latest AI tools and budget to use them
  • Team members around the globe
  • Fast-moving, diverse, people-first organization
  • Culture based on trust, transparency, communication, and kindness