Jobs at Cribl

Perform technical demos, support proof-of-concepts, and articulate Cribl's value to customers. Document use cases, assist sales cycles, and travel up to 30%. Remote role based in Seattle or Portland with occasional off-hours work.

Design, prototype, and productionize Generative AI and LLM features across backend and frontend. Integrate ML models, fine-tune, perform prompt engineering, operate inference platforms, and support AI-based product launches while participating in on-call duties.

Design, build, and maintain cloud-first, highly available infrastructure and tooling for Cribl's telemetry platform. Drive automation, reliability, scalability, and API-driven solutions across distributed SaaS systems, and participate in on-call and operational duties.

Qualify and develop inbound and outbound leads, schedule sales-ready meetings, research target accounts, run cold outreach campaigns, maintain Salesforce, and meet meeting quotas while collaborating with sales and marketing. Occasional travel required.

Drive territory sales by developing a business plan, owning the full sales cycle from lead generation to close, articulating value to technical and executive stakeholders, forecasting and hitting targets, creating demand in-market, and expanding accounts through channel and direct motions.

Lead and mentor a remote engineering team building high-scale, distributed data streaming systems for a SaaS telemetry platform. Drive technical excellence, participate in design and code reviews, manage project delivery, collaborate with product and operations, hire and grow talent, and support on-call/standby duties while ensuring customer-focused solutions.

Manage and grow a West enterprise Solutions Engineering team: hire, mentor, assess SEs, support pre-sales and account activities, drive revenue via sales plays, deliver technical presentations, and support proof-of-value events while partnering with regional sales leadership.

Lead AI-native telemetry product strategy and roadmap, partner cross-functionally with engineering, sales, and field teams, use product and usage data to inform decisions, drive integrations with cloud and enterprise data tools, engage customers for adoption, and deliver high-value AI experiences across cloud, on‑prem, and hybrid environments.

Lead and scale a product management team owning platform roadmaps (identity, billing, lifecycle, developer experience, environment support) for SaaS and self-hosted offerings. Drive cross-functional collaboration, define product strategy, ensure platform scalability and extensibility, use data-driven decision frameworks, influence pricing and go-to-market, and hire and develop PMs.

Lead and deliver complex, cross-team AI product programs, drive agent-first SDLC adoption, ensure integration and operational readiness of AI workflows, define metrics, communicate risks and status, and standardize TPM best practices across Product and Engineering.

Develop and maintain backend features for Cribl Edge data collection agents running across Windows, Linux, and macOS. Design scalable, reliable software for hundreds of thousands of nodes, collaborate with product and UX teams, write automated tests, troubleshoot production issues, and support SaaS products through on-call rotations. The role requires TypeScript and Node.js development, cloud and container experience, operating-system knowledge, and experience with data-intensive applications or stream processing.

Leads global revenue strategy and planning by optimizing the go-to-market engine, defining KPI frameworks, and identifying growth opportunities. Owns executive and board-level reporting, supports annual and long-range planning, and applies AI to automate analysis and improve GTM operations. Partners with data and analytics teams on revenue data architecture and governance while delivering insights that guide senior leadership decisions.

Own and run technical enablement programs for Solutions Engineers and Customer Success Engineers. Design and deliver onboarding, demos, PoV guidance, licensing/sizing/pricing training, and product positioning. Collaborate cross-functionally to align enablement with product launches, measure program effectiveness, and leverage AI and agentic workflows for just-in-time training and lab development. Support remote, global teams and occasional outside-hours duties.

Sell Cribl's telemetry platform into large enterprise accounts in the NYC territory. Build territory business plans, generate pipeline, manage full sales cycle, articulate value to technical and executive buyers, forecast and hit targets, land and expand seven-figure deals, and work with channel partners using MEDDIC and enterprise security/observability knowledge.

Lead and expand Cribl's partner go-to-market: drive channel and direct revenue via resellers, SIs, MSSPs, ISVs and cloud partners; build field-level pipeline, exceed channel quotas, develop strategic partnership plans, advocate partners internally, and collaborate cross-functionally to capture incremental business.

Support the sales process by demonstrating Cribl, performing technical discovery, running workshops/POVs, answering technical questions, documenting use cases, and scaling repeatable solution consultations across multiple concurrent opportunities in a remote, high-velocity environment.

Lead and deliver complex, cross-team AI platform programs: manage schedules, risks, integration of AI workflows and agents, enable operational readiness, drive TPM best practices, and communicate status and metrics to stakeholders in a remote, multi-timezone environment.

Senior individual contributor who designs, secures, automates, and operates core IT systems. Own identity/lifecycle, AWS-based IT infrastructure, ServiceNow architecture, automations, observability, endpoint management, and Tier 3 incident response. Partner across IT, Security, People, and apps to improve reliability, security, and scale; participate in on-call rotations and support audit readiness.

Own and evolve the analytics engineering platform: design and maintain certified dbt models, enforce modeling/testing/documentation standards, build semantic and metadata layers, optimize Snowflake performance, partner with analysts and data engineering to migrate business logic and ensure reliable, AI-ready analytics, and mentor teammates on analytics engineering best practices.

Owner of territory sales execution for enterprise accounts: build business plans, generate and manage pipeline, articulate value to technical and CxO stakeholders, forecast and hit targets, run complex deals and procure new logos, and work with channel partners to create demand.