Top Tech Jobs & Startup Jobs in NYC, NY

Lead product strategy and execution for Cribl’s Core Search platform, including Federated, Metric, and Lakehouse search. Gather customer and partner feedback, prioritize features and defects, manage backlogs and roadmaps, negotiate engineering priorities, and track product metrics. Collaborate with marketing, sales, customer success, and solutions engineering to develop enablement, messaging, training, and launches. Translate technical requirements into actionable plans while managing complex data integrations and multiple priorities.

Serve as the technical lead for Global System Integrator and cloud service provider partnerships. Lead technical discovery, demonstrations, proofs of concept, architecture sessions, workshops, and executive briefings. Design repeatable solutions, reference architectures, accelerators, and implementation guidance while enabling partner teams. Collaborate across sales, alliances, product, marketing, and services to support joint customer engagements, partner-led delivery, and measurable pipeline and deployment outcomes. Travel may reach 50%.

Develop 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, build robust Node.js and TypeScript code, create automated and integration tests, and collaborate with engineering, product, design, and business teams. Participate in code reviews, documentation, customer support, and a 24/7 on-call rotation.

Manage global corporate tax compliance, tax provision under ASC 740, tax filings, sales and use tax, tax accounting close processes, R&D credits, international tax matters, and IPO readiness. The role also leads tax controls and develops AI-driven workflows, automations, and system integrations for tax reporting and compliance while partnering cross-functionally across the business.

Build, productionize, and operate AI-driven features and integrations across frontend, backend, and model layers. Prototype and deliver agent-driven experiences (conversational interfaces, RAG, tool-calling), integrate LLMs and external data sources, and collaborate with product and design. Participate in on-call/standby duties.

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.

Leads company-wide AI effectiveness by defining knowledge strategy and governance, prioritizing reusable AI use cases, scaling solutions, activating employees through an AI Champions Network, and measuring adoption, spending, and ROI. Partners with executives and Data, IT, Engineering, and Finance teams to build shared AI infrastructure and drive adoption across a remote-first organization.

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.