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Join the company that’s building the telemetry infrastructure for the AI era. At Cribl, we partner with IT and Security teams at many of the world’s biggest enterprises, including half of the Fortune 100, to bridge the gap between AI ambition and infrastructure reality. As the AI Platform for Telemetry, we give customers the choice, control, and flexibility to manage and analyze telemetry for both humans and agents, so they can build what’s next.
We’re one of the fastest‑growing private companies and a leading player in a massive, fast‑moving market. With a global workforce, we’re remote‑first and grounded in a simple idea: software is a people business. Cribl is the place where curious, collaborative people can do their best work, grow fast, and bring their full selves to the herd.
Location: San Francisco
Why You'll Love This Role
As a Solutions Engineer, you'll get to flex your technical chops and storytelling skills by helping customers uncover the full potential of Cribl in real-world environments. With the freedom of remote work and the excitement of solving unique data challenges, every day brings something new—and impactful.
As An Active Member Of Our Team, You Will…
- Help customers understand the value of Cribl during the sales process
- Demo the product and answer customer questions during initial sales calls
- Support customers during proof of concept sessions
- Document interesting use cases in blog posts and product documentation
- Up to 30% Travel
- We are a remote-first company and work happens across many time-zones – you may be required to occasionally perform duties outside your standard working hours
If You’ve Got It - We Want It
- Experience with Logs, Metrics, IT Operations and Security
- Background in Sales Engineering, Professional Services, or Support
- Play with the product, be prepared to give us feedback
- You live in San Francisco
- Experience working remotely
#LI-JK1
#LI-Remote
The salary for this role is dependent on geographic location and will be based on the individual candidate's job-related knowledge, skills, and experience.
In addition to base salary, for sales and some sales-adjacent roles, employees are eligible to earn incentive compensation (commission). For all other roles, employees are eligible to participate in the Cribl Corporate Bonus Program.
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), and equity.
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.
Cribl San Francisco, California, USA Office
Although Cribl is headquartered in San Francisco, we support a remote-first and distributed workforce. We believe great work can happen anywhere!
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
