Top Tech Jobs & Startup Jobs

Build and operate security research infrastructure, including static and dynamic malware analysis pipelines, YARA tooling, sandboxing environments, threat indicator enrichment, and graph-based intelligence systems. Develop ingestion pipelines connecting scan data with external threat feeds, ensure reliability and observability, and securely isolate malicious samples. Partner with threat researchers and detection engineers to create scalable production systems, while documenting architecture and operational procedures.

Recruit, onboard, enable, and expand Southeast channel partnerships to drive revenue growth. Develop regional channel strategy, identify and negotiate with partners, create joint business plans, track KPIs, and coordinate go-to-market activities with sales, marketing, legal, and technical teams. Maintain strong partner relationships, monitor market and competitor trends, and use data-driven decision-making to maximize channel performance.

Own sales growth for Censys in South Korea by managing inbound leads, executing outbound campaigns, developing enterprise and upper mid-market pipeline, and closing new and expansion revenue. Build relationships with channel partners and executive buyers, sell Censys cybersecurity data and SaaS solutions, maintain accurate forecasts, negotiate value-based agreements, and contribute to the company’s evolving sales playbook and process.

Supports prospects and partners throughout the sales cycle by conducting discovery, designing solutions, delivering product demonstrations, and leading proof-of-value deployments. Troubleshoots integrations, compares Censys against competing products, advises security leaders, and communicates product feedback. Partners with Sales, Customer Success, Product, and Engineering while assisting customers with onboarding, ticket management, and ongoing solution adoption.

Develop and execute B2B marketing content supporting partner programs, product launches, integrated campaigns, and security-focused audiences. Create blogs, emails, landing pages, customer stories, webinars, solution briefs, videos, sales collateral, and enablement assets. Collaborate with product marketing, channel, demand generation, sales, regional teams, designers, and agencies. Identify content opportunities, manage editorial planning, interview subject matter experts and customers, and repurpose content across channels.

Develops technical marketing content, enablement programs, certifications, workshops, training, solution guides, competitive assets, and hands-on learning experiences for customers, partners, sales teams, and customer success. Partners with Product Marketing, Product Management, and research teams to translate cybersecurity products and capabilities into practical resources, support launches, and improve education based on stakeholder feedback.

Leads technical sales engagements for Censys’s internet intelligence and attack-surface-management platform. Responsibilities include discovery, solution design, demos, presentations, workshops, technical validations, competitive differentiation, stakeholder engagement, quota attainment, and coordinating Customer Success, Support, Channel, and professional services teams to drive adoption and customer value.

Build and deploy applied machine learning models and data-driven systems that classify, cluster, label, and enrich Internet-observed assets. Develop feature pipelines, training datasets, evaluation frameworks, confidence scoring, and production inference services. Collaborate with engineering, research, security, and product teams to transform raw Internet telemetry into high-quality datasets and customer-facing insights.

Build highly available, scalable distributed systems and real-time services supporting Internet-wide scanning, data ingestion, APIs, security research, and machine learning initiatives. Responsibilities include developing data pipelines, messaging systems, databases, caching layers, tooling, and cloud or on-premises services; productionizing prototypes; collaborating with engineering, product, machine learning, and security teams; and maintaining reliable, observable systems.

Build and deploy AI/LLM-powered features and RAG pipelines for internet-scale threat intelligence. Prototype, fine-tune, evaluate, and optimize models; integrate AI into platform services; implement CI/CD, regression testing, and security guardrails; collaborate across product, frontend, and data teams to deliver real-time, low-latency AI-driven analytics and automation.