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.
Why You'll Love This Role
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.
As An Active Member Of Our Team, You Will...
- 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
If You've Got It - We Want It
- 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
Salary Range ($230,000 - $265,000)
The salary for this role is dependent on geographic location. The salary offered within the range described will be based on the individual candidate’s job-related knowledge, skills, and experience. In addition to a competitive salary, Cribl also offers a generous benefits package which includes health, dental, vision, short-term disability, and life insurance, paid holidays and paid time off, a fertility treatment benefit, 401(k), equity, and eligibility for a discretionary company-wide bonus.
#LI-JB1
#LI-Remote
Bring Your Whole Self
Diversity drives innovation, enables better decisions to support our customers, and inspires change for the better. We’re building a culture where differences are valued and welcomed, and we work together to bring out the best in each other. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.
Interested in joining the Cribl herd? Learn more about the smartest, funniest, most passionate goats you’ll ever meet at cribl.io/about-us.
Top Skills
Similar Jobs
What you need to know about the NYC Tech Scene
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
