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

Leads global segment revenue enablement strategy across regions, builds and manages an enablement team, embeds value-based sales methodologies, and develops frontline manager coaching. The role connects enablement programs to pipeline, ARR, retention, customer outcomes, and seller performance. It also defines skills assessments, personalized AI-enabled coaching, governance, and adoption strategies while partnering with Sales, Revenue Operations, Customer Success, Product Marketing, and other teams.

Own and scale Cribl’s corporate IT systems, including Okta identity, AWS infrastructure, endpoint management, ServiceNow, SaaS integrations, automation, and AI tool governance. Lead lifecycle workflows, security baselines, compliance reporting, incident escalation, and on-call operations while partnering with Security, Enterprise Applications, Finance, Compliance, and People teams.

Supports enterprise and SLED customers throughout the sales process by demonstrating Cribl, answering technical questions, leading proof-of-concepts, and advising existing customers. The role requires expertise in logs, metrics, IT operations, security, Linux, cloud and on-premises environments, JavaScript, Regex, and KQL. It is remote within the United States, with a strong Midwest or Southeast preference, and includes up to 30% travel.

Drive partner-led revenue growth in the New York region by developing reseller, systems integrator, MSSP, technology alliance, and cloud partner relationships. Build channel pipeline, exceed sales quotas, create partnership strategies, communicate value propositions, and collaborate with executive, marketing, technology alliances, and sales teams to expand business opportunities.

Own the vision, roadmap, architecture, delivery, adoption, and measurement of AI-powered GTM products that improve sales productivity. Partner with sellers, GTM leaders, engineering, data, security, and business systems teams to identify workflow friction, build integrations and automations, launch prototypes and scalable solutions, and establish governance. Measure seller time savings, workflow efficiency, deal progression, adoption, and business impact while ensuring secure, reliable, trusted AI experiences.

Owns the strategy and execution of revenue talent onboarding across sales, solution engineering, and customer success engineering roles. Responsibilities include designing role-based curricula, facilitating bootcamps, developing AI-enabled roleplay and certification programs, conducting assessments, coaching managers, coordinating mentorship, and partnering with Revenue Operations to connect onboarding milestones to ramp velocity, pipeline progression, and revenue contribution.

Own analytics as an internal data product across GTM, People, Finance, and related functions. Translate ambiguous business questions into self-service data solutions, deliver executive-ready narratives, manage stakeholder priorities, and guide data-driven decisions. Serve as a marketing analytics subject matter expert across attribution, campaign measurement, lead tracking, funnel analysis, predictive modeling, and experimentation. Use SQL, modern data-stack tools, BI platforms, and AI-assisted modeling to deliver actionable insights.

Develops and scales Cribl’s partner ecosystem by managing partner engagement lifecycles, programs, policies, onboarding materials, tools, roadmaps, compliance communications, and partner-focused initiatives. The role supports reseller, MSP, systems integrator, technology alliance, cloud service provider, and services partnerships while aligning internal teams and improving partner experience, efficiency, and revenue impact.

Design and maintain detection-as-code rules, conduct threat hunts, investigate incidents, and improve security telemetry pipelines. Build KQL detections through GitOps and CI/CD workflows, map coverage to MITRE ATT&CK, tune alert quality, and maintain log parsing and normalization. Participate in incident response, write runbooks, and convert findings into durable detections. Collaborate across security, IT, infrastructure, engineering, and GRC while mentoring teammates and supporting on-call duties.

Build and operate production agentic workflows, runtimes, orchestration systems, tool integrations, and AI platform infrastructure. Develop guardrails, observability, evaluation, secure access controls, event-driven architectures, and continuous delivery practices. Partner across Engineering to drive adoption, improve software delivery, and take systems from design through production operations. The role includes evaluating AI tooling, supporting agentic coding workflows, defining success metrics, and potentially participating in on-call duties.