Manager, Software Engineering, Search Discovery
Job Description
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.
Engineering Manager, Search Discovery
About the Team
The Search Discovery team owns the analytical and investigative surfaces of Cribl Search -- dashboards, notebooks, visualizations, AI-assisted investigations, and the discovery layer that helps customers get the most value out of their data.
Our mission: make it effortless for customers to explore, visualize, investigate, and act on their data through powerful, intuitive analytical experiences.
This team builds the capabilities that turn raw search results into insight: interactive dashboards, collaborative notebooks for deep analysis, rich visualizations and AI-powered investigation tools. They also own the performance and scalability of these surfaces at enterprise scale.
We're looking for an Engineering Manager who's as excited about analytical tooling and user experience as they are about building high-performing teams.
What You'll Do
- Lead and grow a senior team of engineers building Cribl's dashboards, notebooks, visualizations, investigations, and analytical discovery capabilities.
- Partner closely with Product to translate vision into execution -- surfacing ideas, shaping direction, and communicating the "why" to your team with clarity and energy.
- Drive the team's delivery rhythm across dashboards, notebooks, visualizations, scheduled searches, AI-assisted workflows, and performance improvements that directly shape how customers interact with Cribl Search.
- Shape technical direction alongside staff+ engineers, ensuring architectural decisions balance speed, quality, and long-term scalability.
- Mentor and develop engineers at all levels, creating shared ownership and clarity across a technically deep, senior team.
- Act as a storyteller for the team -- connecting individual work to broader product vision and customer value.
What We're Looking For
- 7+ years of engineering experience, with at least 3 years managing a team focused on user-facing product development.
- Background in search, observability, analytics, or data visualization platforms.
- Experience leading senior/staff-level engineers who operate with high autonomy.
- Strong PM partnership skills -- comfortable co-creating roadmaps, translating product vision, and navigating ambiguity.
- Comfort with fast-paced environments where priorities shift and the team is central to the product's identity.
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.
How to Stand Out
- Highlight any hands‑on work with large‑scale search stacks (e.g., Elasticsearch, OpenSearch, Lucene) or custom indexing pipelines that processed telemetry or log data at > TB/day; include concrete metrics (latency, throughput, cost savings) in your résumé and be ready to discuss architecture decisions in depth.
- Prepare a short 5‑minute demo or slide deck of a past project where you led a distributed engineering team (fully remote or hybrid) to ship a search‑oriented feature—from product definition through CI/CD rollout—emphasizing communication tools (Slack, Asana, OKR dashboards) and how you kept velocity high across time zones.
- Fork a public Cribl repo (or a similar telemetry‑pipeline project) and submit a pull request that adds a modest but useful search‑discovery improvement (e.g., a new query filter or performance benchmark). Mention this contribution in your cover letter to show product curiosity and immediate value.
- In the interview, use the STAR format to illustrate how you balance “people first” leadership with data‑driven engineering: e.g., how you used latency or error‑rate dashboards to identify a bottleneck, coached the team to refactor, and measured the resulting 30% reduction in query latency while maintaining high team engagement scores.
- Research Cribl’s pricing model and recent funding rounds; when negotiating compensation, request a base salary at the top of the published range for a “Engineering Manager – Search” (adjusted for your region), a performance‑linked bonus tied to search‑feature adoption metrics, and a clear equity grant schedule that vests over 4 years with a 1‑year cliff.
- Compile a concise portfolio (GitHub, personal site, or PDF) that includes: (1) architecture diagrams of search‑discovery systems you built, (2) code snippets of query‑parsing or indexing modules, and (3) a brief case study on scaling those systems in a cloud environment (AWS/GCP). Share the link in your application and reference it when answering technical deep‑dive questions.
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