Engineering Manager, AI Systems

Cribl

3h • Remote

About The Position

Cribl does differently.
What does that mean? It means we are a serious company that doesn’t take itself too seriously; and we’re looking for people who love to get stuff done, and laugh a bit along the way. We’re growing rapidly - looking for collaborative, curious, and motivated team members who are passionate about putting customers first. As a remote-first company we believe in empowering our employees to do their best work, wherever they are.
As the data engine for IT and Security many of the biggest names in the most demanding industries trust Cribl to solve their most pressing data needs. Ready to do the best work of your career? Join the herd and unlock your opportunity.
The Cribl AI Systems Team is building the core AI runtime that powers every AI-driven experience across the Cribl product suite. We’re hiring an Engineering Manager to lead the next phase of scaling and operationalizing our inference, retrieval, and MCP foundations, so product teams can ship new AI experiences with confidence.
You’ll work closely with teams building AI native products, SRE, Security, and a highly-skilled group of engineers to deliver fast, predictable, trustworthy AI services across cloud environments. Your team will also be accountable for reliability, performance, and token-cost efficiency of inference services.

Requirements

• 4–7 years of Engineering Management experience
• Recent (within 5 years) hands-on engineering experience in: TypeScript / JavaScript, Python or Go
• Background in B2B SaaS product development
• Demonstrated interest in AI/ML
• Can articulate informed opinions about current AI trends
• Experience working directly with AI products
• Strong communication skills and leadership presence in a distributed team

Responsibilities

• Lead a cross-functional AI product engineering team, owning strategy and execution across multiple Copilot experiences
• Drive technical direction and product evolution for the AI stack, inference backend, user-facing AI products
• Interface closely with the AI Research and Model Training team to align on model capabilities, evaluation methodology, data/training pipelines, and the productionization path for new models and techniques
• Oversee infrastructure, on-call rotations, and operational processes.
• Operate in a player-coach model, contributing 50% of your time to hands-on engineering: Writing evals Testing and debugging features Occasionally contributing to inference stack development
• This position will require stand-by, on-call, or off-hours duties

Benefits

• health
• dental
• vision
• short-term disability
• life insurance
• paid holidays
• paid time off
• a fertility treatment benefit
• 401(k)
• equity
• eligibility for a discretionary company-wide bonus

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed