Forward Deployed Solutions Lead

Cribl · Enterprise · CA · Customer Experience

This role involves acting as an embedded engineering partner for strategic enterprise customers, integrating Cribl's telemetry platform into their existing tools and workflows. The focus is on building custom solutions, search experiences, and data flows to meet specific customer needs, including those ahead of the product roadmap. The role also involves creating reusable assets like Packs and integrations, and bridging the gap between current customer requirements and future product development by providing feedback to the product and engineering teams. The core function is to engineer complex data and pipeline logic using JavaScript/Node.js and Cribl's framework to solve last-mile problems in large-scale IT and security environments.

What you'd actually do

  1. Act as the embedded engineering contact for a select set of strategic customers, developing a deep understanding of their architectures, constraints, and goals.
  2. Design and build integrations into customers’ current tools — SIEM, SOAR, EDR/XDR, identity platforms, observability stacks, cloud services, ITSM/ticketing, data lakes, and more — so Cribl becomes a natural part of how their teams operate.
  3. Extend Cribl Search with customer‑specific datasets, knowledge objects, dashboards, saved searches, and search‑time enrichment pipelines to support their unique investigation and analytics workflows.
  4. Design creative, supportable solutions using existing Cribl capabilities, Packs, and custom code.
  5. Develop reusable Cribl Packs and solution assets that encapsulate best‑practice pipelines, event breakers, lookups, and integrations for common data sources, platforms, and architectures.

Skills

Required

  • 5+ years of hands‑on experience in a software engineering, solutions engineering
  • JavaScript/Node.js
  • experience with IT and Security tools (SIEM, SOAR, EDR/XDR, observability stacks, data lakes)
  • experience integrating disparate systems
  • experience building custom data pipelines and workflows
  • experience with large-scale data management and analysis

Nice to have

  • experience with Cribl
  • experience with cloud services
  • experience with ITSM/ticketing systems
  • experience with REST APIs
  • experience with regex
  • experience with lookup tables

What the JD emphasized

  • closing the gaps between what Cribl does out of the box and what those customers need it to do
  • needs that are ahead of the product roadmap or may never become core features
  • hardest last-mile problems for flagship customers

Other signals

  • AI ambition and infrastructure reality
  • AI Platform for Telemetry
  • manage and analyze telemetry for both humans and agents
  • build what’s next
  • Data Engine for IT and Security
  • unlock the value of all their data
  • manage and analyze telemetry at petabyte scale
  • embedded engineering partner
  • closing the gaps between what Cribl does out of the box and what those customers need it to do
  • custom search experiences and data flows
  • needs that are ahead of the product roadmap or may never become core features
  • reusable Packs, integrations, and patterns
  • hardest last-mile problems for flagship customers
  • solutions into reusable Packs, integrations, and patterns
  • embedded technical partner for key accounts
  • Integrate Cribl into customers’ existing tooling and workflows
  • Build custom search experiences and data flows
  • Bridge “today’s needs” and “future product”
  • Partner with Product and Engineering
  • Build reusable assets and patterns
  • Engineer complex data and pipeline logic
  • Collaborate across Field CTOs, CSEs, and PS