Top Tech Jobs & Startup Jobs in Seattle, WA

Supports enterprise customers throughout the sales process by demonstrating Cribl, answering technical questions, supporting proof-of-concept sessions, and translating customer data challenges into solutions. The role requires experience with logs, metrics, IT operations, and security, along with a sales engineering, professional services, or support background. It is remote-first, based in Seattle or Portland, and involves up to 30% travel.

Architect and build AI-powered SOC capabilities for post-detection workflows, including autonomous triage, multi-agent investigations, contextual enrichment, evidence synthesis, and automated response. Develop production-grade LLM systems, agent frameworks, integrations, and safe execution controls. Lead ambiguous initiatives, establish reliability and performance standards, guide engineers, and collaborate with product and security teams. The role is fully remote but includes standby, on-call, or off-hours duties.

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.

Own analytics and reporting solutions for acquisitions, product launches, and other complex business events. Translate business changes into data models, system updates, processes, and reporting definitions. Coordinate Data Engineering, Analytics, Data Science, and Data Governance teams; lead cross-functional execution and establish a Business Intelligence Council. Partner across GTM, Finance, Product, IT, and other functions to reconcile metrics, clarify ownership, and maintain business visibility.

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.