Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Design, develop, test, and maintain backend systems and APIs for ingesting, processing, and routing large-scale telemetry data. Own end-to-end features, contribute to architecture and internal tools, write automated tests, participate in on-call/support rotation, and collaborate with cross-functional teams to deliver scalable, high-performance distributed systems.

Own the FedRAMP Moderate authorization and security compliance program, including SSP maintenance, POA&M management, continuous monitoring, 3PAO assessments, incident reporting, agency relationships, and change-impact reviews. Partner with engineering, DevOps, legal, and federal customers to maintain authorization and remediate findings. Improve compliance operations through automation, scripting, AI-assisted workflows, infrastructure-as-code, and compliance-as-code. Translate evolving NIST, FedRAMP, OMB, CISA, and AI governance requirements into actionable direction.

Leads Cribl’s corporate events strategy, team of 4–5, flagship events, global tradeshow calendar, and multi-million-dollar budget. Partners with executives, Marketing, Sales, Finance, and cross-functional teams to deliver conferences, kickoffs, President’s Club, and brand experiences. Oversees vendors, contracts, event metrics, forecasting, processes, and risk management while ensuring strong pipeline, revenue, employee engagement, and brand impact. Requires approximately 40% travel to global events.

Build and maintain software integrations connecting Cribl’s stream-processing engine with systems such as Splunk, Elasticsearch, Kafka, and cloud storage platforms. Research third-party technologies, develop robust Node.js and TypeScript code, create automated and integration tests, collaborate across engineering and product teams, participate in code reviews and on-call support, and contribute to documentation and technical communities.

Review, draft, and negotiate SaaS, partnership, reseller, data privacy, security, and vendor contracts. Advise sales, partner channel, procurement, and cross-functional teams on legal risks and solutions. Improve contract templates, playbooks, and legal processes; document obligations using contract management tools; train business teams on legal best practices and regulatory developments. Collaborate across privacy, security, compliance, and product functions in a global remote environment.

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.

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.

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.

Support Sales by building segmentation models, territory designs, and compensation plans; advise Sales VPs through business reviews; maintain dashboards and reports in Salesforce, Gong, and Omni; improve CRM workflows and data quality; ensure account, opportunity, and territory integrity; and collaborate cross-functionally to operationalize GTM decisions.

Technical leader for Data Engineering responsible for designing, operating, and optimizing Snowflake-based data platforms, self-hosted orchestration (Prefect), dbt practices, AWS infrastructure, and data pipelines. Drive architecture, mentor engineers, partner cross-functionally, ensure observability and production-grade practices, and enable model-ready datasets and AI/LLM workflows.