Jobs at Censys

Leads Censys's internal IT systems, infrastructure, endpoint lifecycle, identity management, SaaS tooling, and secure AI adoption. Builds and manages the IT team, oversees onboarding and employee technology support, manages software and hardware budgets and vendors, documents processes, and delivers internal training. The role partners with finance and other teams to optimize tooling, automation, utilization, reliability, and return on investment across a global workforce.

Manage post-sales relationships with federal customers through onboarding, adoption, enablement, renewals, and expansion. Lead customer kickoffs, architecture planning, business reviews, success plans, feature education, and renewal-risk mitigation. Collaborate with Customer Success Engineering, Sales, Marketing, R&D, and executives to support customer goals, identify expansion opportunities, and maintain accurate customer records in Catalyst and Salesforce.

The Customer Success Manager will support Censys customers across EMEA and government accounts. The provided description contains no specific responsibilities, qualifications, compensation, travel, clearance, or sponsorship details.

Own post-sale relationships for enterprise, government, and partner accounts across APJ. Lead onboarding, integrations, API adoption, success planning, business reviews, renewals, expansion, and risk mitigation. Advise security stakeholders, support channel and MSSP partners, monitor account health, maintain Salesforce and Gainsight data, and communicate regional customer needs to internal teams. The role requires technical fluency in networking, cloud, cybersecurity, APIs, and integrations, plus willingness to travel across APJ and to company headquarters.

Own and grow Censys' Pacific Northwest enterprise territory, closing complex cybersecurity and SaaS deals with C-level and VP stakeholders. The role requires building qualified pipelines, meeting revenue and activity targets, forecasting accurately, negotiating agreements, presenting virtually to executives, and helping shape the company's sales playbook. The Account Executive will collaborate with Sales Engineers, Channel Managers, SDRs, and leadership while traveling to regional customer sites as needed.

Own product marketing and go-to-market strategy for Censys’ attack surface management product. Develop positioning, value propositions, messaging, content, launch plans, sales enablement, competitive intelligence, analyst relations, and persona research. Collaborate with Product, Sales, Marketing, Business Development, and industry analysts to improve pipeline, bookings, conversion, and product direction using funnel and win/loss metrics.

Lead technical support for enterprise sales across the Chicago territory, conducting discovery, designing cybersecurity solution architectures, delivering demonstrations and proofs of concept, and managing technical evaluations. The role handles RFPs, security questionnaires, customer handoffs, and early implementation support while partnering with account executives, product, engineering, support, and customer success teams. It also contributes to sales enablement, conveys customer feedback into product strategy, and maintains technical engagement records.

Lead Censys’ product management organization and unified exposure management strategy across attack surface management and supply chain intelligence. Define product vision, roadmap, and customer workflows; partner with engineering, design, AI, research, and go-to-market teams; establish scalable product processes; identify new platform opportunities; represent the company externally; and drive measurable adoption, usage, and revenue outcomes while hiring and developing product talent.

Build and deploy AI-powered features for internet-scale threat intelligence workflows. Develop and fine-tune LLMs, RAG pipelines, vector search, and AI-driven analytics to summarize findings and automate investigations. Create secure, context-aware user experiences while evaluating model performance with RAGAS, LangSmith, and regression testing. Collaborate with product, frontend, data engineering, and other teams to deliver low-latency, reliable AI capabilities.

Build highly available, scalable distributed systems and real-time data services supporting Internet-wide scanning, DNS resolution, certificate ingestion, security research, and customer applications. Responsibilities include developing data pipelines, messaging systems, databases, caching layers, tooling, frameworks, and cloud or on-premises services; productionizing prototypes; and collaborating with engineering, product, machine learning, and security teams. The role emphasizes maintainable, testable code, reliability, monitoring, and long-term platform development.

Lead technical pre-sales activities for enterprise and government customers across the Gulf region. Responsibilities include technical discovery, solution architecture, product demonstrations, proofs of concept, RFP and security questionnaire responses, technical evaluations, customer handoffs, and stakeholder engagement. The role partners with account executives, product, engineering, support, and customer success teams while contributing to enablement materials and product strategy. Extensive travel across the Gulf and META region is required.

Serve as the primary technical partner for enterprise cybersecurity sales across the Texas and adjacent TOLA region. Lead discovery, solution architecture, product demonstrations, proofs of concept, technical evaluations, RFP responses, and security questionnaires. Partner with account executives, support post-sale implementation, address technical objections, develop enablement materials, and relay customer feedback to product and engineering teams.

Lead regional marketing across APJ by developing plans, executing demand generation campaigns, managing events, webinars, workshops, PR, agencies, vendors, and budgets. Partner with Sales, GTM, content, product marketing, and channel partners to support pipeline and brand growth. Localize global campaigns, analyze performance and ROI, optimize programs, and provide regional insight to global teams.

Manage and expand channel partner relationships and revenue across the Central United States. Identify and enable partners, drive market presence and revenue growth, and foster strong partner relationships while collaborating with the East sales team and reporting to the VP of Sales.

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.

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.

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.