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Crogl

AI-driven security operations with SIEM migration

Staff Software Engineer - Product

Software EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USANo salary listedRemote

About the Job

Requirements

  • At least 8 years of back-end engineering experience or equivalent, including time operating as the technical lead or architect for a team or significant product area.
  • Deep experience architecting and scaling production-grade distributed systems, with strong fluency in one or more of Go, Python, or other major back-end languages, preferably statically typed.
  • The ability to set technical direction for a team and deliver complex, high-impact projects.
  • Hands-on experience building or scaling artificial intelligence systems in production, ideally large language model-based, agentic, or retrieval-augmented systems, with sound judgment about where artificial intelligence fits.
  • Strong business acumen and the ability to translate technical solutions into tangible business value.
  • A continuous learning mindset and a bias toward proving new approaches rather than only tracking them.
  • Interpersonal and collaboration skills, with a history of building consensus, elevating peers, and navigating cross-functional relationships.
  • A Bachelor's degree or higher in Computer Science, or equivalent experience.

Responsibilities

  • Own the architecture, technical design, and delivery for the team's area of the platform, turning the roadmap into engineering plans that ship and hold up in production.
  • Drive the hardest technical decisions in the domain and resolve ambiguous, high-risk problems before they become blockers.
  • Design and build core parts of the compound artificial intelligence system, spanning agents, large language models, and retrieval-augmented generation, with a focus on reliability, evaluation, and scale.
  • Own the team's most complex, mission-critical initiatives end to end, from problem framing through production and iteration.
  • Establish and champion engineering best practices, coding standards, architectural patterns, and artificial intelligence-native development techniques within the team.
  • Multiply the team's impact by mentoring senior and mid-level engineers, raising the quality bar through code review, design review, and hands-on work.
  • Partner closely with product and design counterparts to uncover requirements and align on priorities.
  • Stay current with the state of the art in software engineering and applied artificial intelligence, and bring relevant advances into the platform.

Desired Qualifications

  • A track record of taking high-impact products from concept to market at scale.
  • Experience building agentic or large language model-powered products in production, including evaluation and reliability practices.
  • Cybersecurity domain depth, especially in security operations, security information and event management, security orchestration, automation and response, endpoint detection and response, extended detection and response, or detection engineering.
  • Early or founding engineer experience at a fast-moving startup.
  • A passion for delivering highly reliable systems and transforming defensive cybersecurity.

About the Company

Crogl

AI-driven security operations with SIEM migration

Crogl provides a security operations platform powered by AI to help cybersecurity teams manage alerts and incidents more efficiently. It focuses on enabling practitioners to work without needing in-depth schema or query language knowledge, and it offers seamless migration between SIEM systems so teams don’t lose detection coverage or struggle with schema mappings. The platform supports knowledge exchange and task execution by leveraging the collective expertise of security teams, speeding up detection and mitigation of critical incidents. Revenue comes from delivering a dedicated security operations team at a fraction of traditional costs, reducing resource strain and management overhead. All actions are documented and auditable, and autonomous investigations enable continuous learning and improvement. Crogl targets security teams that want scalable, AI-assisted operations that adapt to evolving cybersecurity needs.

Company size
11-50
Company stage
Series A
Total funding
$25M
Headquarters
Los Ranchos De Albuquerque, NM
Founded
2023

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