Censys - Director of Product Management, Security Operations

• Differentiation through data: You ensure your products don't just use Internet data — they use it in ways competitors cannot replicate. The Internet Map's coverage, context, and connections should be visible in every feature you ship. • Differentiation through data: • Feedback loop: You bring signal back from security operations customers about data gaps, quality issues, and emerging needs that should inform the Internet Map roadmap. • Feedback loop: • Cross-Team Alignment & Execution • Advanced Research Collective (ARC) partnership: You work closely with Censys' Threat Research team within ARC — the group responsible for identifying and tracking adversary signals across the Internet. They generate the intelligence; you ensure it reaches customers as a product capability, not just a research output. You co-develop the feedback loop between what ARC discovers and what the product surfaces to users. • Advanced Research Collective (ARC) partnership: • AI and Data Science partnership: You partner closely with our Distinguished AI Engineer and AI Director, who build AI capabilities to find signals and patterns in Censys' data. You are the product voice that translates their technical capabilities into customer-facing features — helping prioritize which AI-driven signals to productize, how to present them in security workflows, and how to validate that they deliver real operational value. • AI and Data Science partnership: • Engineering partnership: You stay close to the engineering team, iterating rapidly, prioritizing ruthlessly, and keeping requirements tight so teams ship against real customer signal rather than long specs that sit in a queue. • Engineering partnership: • Product team coordination: You coordinate with peer product leaders (Exposure Management, Platform, Data & National Security) on shared dependencies, integration points, and opportunities to leverage each other's capabilities. You are a net contributor to the broader product org, not a silo. • Product team coordination: • Customer-facing engagement: You are regularly in front of customers, running discovery sessions, leading design partnerships, presenting at industry events, and building the credibility that Censys' security operations story requires. • Customer-facing engagement: • What Success Looks Like • Product-market fit is sharper and broader — you can point to segments where fit has deepened (higher win rates, stronger retention, larger deal sizes) and to new segments where the product has established repeatable traction. You have an evidence-based view of where to double down and where to keep investing. • Product-market fit is sharper and broader — • The product vision is compelling and differentiated — it is rooted in Censys' unique data advantage, not in building a generic SIEM or threat intel platform. Analysts, customers, and competitors recognize that Censys is doing something different in security operations. • The product vision is compelling and differentiated • Revenue is growing — ARR growth, pipeline, POC conversion, and net retention are tracking against a plan you defined. GTM sells this product as a first-class motion, with clear positioning against competitors, and it's no longer a side conversation in ASM/EM deals. • Revenue is growing • AI-powered intelligence capabilities are shipping, not just on a roadmap — AI-driven features are in production, delivering measurable value to customers, and differentiating Censys from competitors relying on static data or manual analysis. • AI-powered intelligence capabilities are shipping, not just on a roadmap • Buyer segmentation is clear and sequenced — you have made explicit decisions about which segments to prioritize, and the product, packaging, and GTM motion reflect those decisions. You are not trying to be everything to everyone. • Buyer segmentation is clear and sequenced • Integration strategy is executing — the product is consumable inside the tools security teams already use (SIEMs, SOARs, TIPs). Censys intelligence is showing up in defenders' workflows, not sitting in a separate tab. • Integration strategy is executing • Your data requirements are shaping the Internet Map roadmap — the Data & National Security team considers your input a first-class signal. Data investments that serve security operations use cases are landing, and you can demonstrate how they improve your product's value. • Your data requirements are shaping the Internet Map roadmap • Engineering teams are moving fast and building the right things — requirements are clear, iteration cycles are short, and the team is shipping with confidence. Engineering leadership sees this product as well-run, not chaotic. • Engineering teams are moving fast and building the right things • You are a visible, credible voice in the security operations market — through customer relationships, conference presence, content, or analyst engagement. Censys is becoming part of the security operations conversation, not an outsider trying to break in. • You are a visible, credible voice in the security operations market • 7+ years in product management, with at least 4 years leading product teams in cybersecurity, threat intelligence, or security operations products. • 7+ years in product management, • Product leadership across stages. You have driven product-market fit (whether taking a product from concept to traction, or sharpening and expanding a product line that already has revenue but needs to find repeatable fit across new segments). You know how to run discovery, design partnerships, iterate on positioning, and make hard sequencing calls. • Product leadership across stages. • Deep security operations domain expertise. You understand how SOCs operate, how threat intel teams produce and consume intelligence, and how teams defend against adversaries today. You have built products for at least one of these personas and understand the others well enough to prioritize across them. • Deep security operations domain expertise. • Technical fluency in security data and AI/ML. You understand how machine learning applies to detection, enrichment, and threat scoring. You can evaluate whether an AI capability is genuinely differentiated or just a marketing wrapper. You are conversant in data pipelines, APIs, and integration architectures. • Technical fluency in security data and AI/ML. • Experience close to revenue. You have partnered with Sales on deal strategy, structured POCs that converted, and made packaging decisions that influenced buying behavior. You think about product-market fit in terms of willingness to pay, not just user enthusiasm. • Strategic and operational range. You can articulate a 3-year vision for the product line and also run a design sprint. You set direction while staying close enough to execution to know what's working and what's not. • Strategic and operational range. • What Would Make You Exceptional • Prior experience in a SOC, threat intel team, red team — you've been the buyer or user, not just the builder • Track record of building products that leverage proprietary or differentiated data assets as a competitive moat • Experience building integrations into the major SIEM/SOAR/TIP ecosystem (Splunk, Sentinel, CrowdStrike, Palo Alto XSOAR, Anomali, MISP) • Published research or recognized thought leadership in threat intelligence, adversary tracking, or security automation • Experience with AI/ML applied to security data at scale — not just using vendor APIs, but shaping how models are trained and deployed on proprietary data • For high cost of living areas in the US (San Francisco / Seattle / NYC), the expected salary range for this position is $239,000 USD - $294,000 USD, plus bonus eligibility and equity.For all other locations in the US, the expected salary range for this position is $206,000 USD - $281,000 USD, plus bonus eligibility and equity.  (Use 50th % of Ann Arbor to 75% of DC) • For candidates being considered outside of the US, location specific market data will be evaluated and discussed during the interview process. • Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 83% and 100% of range. Please discuss your specific work location with your recruiter for more information. • For US Employees: Censys offers a competitive benefits package to employees, including equity, health, dental & vision coverage, retirement with company contribution, parental leave, mental health & wellness benefits, flexible PTO, and a professional development stipend. Censys also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Please see our careers page for more details. For employees located outside of the US, location-specific benefits are available and will the information pertaining to those will be provided to you during the interview process. • We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to your recruiter. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. • To ensure the integrity of our hiring process and in attempt to facilitate a more personal connection, we require all candidates to keep their cameras on during video interviews. You may also be required to meet a Censys employee at one point during your process. Additionally, if hired, you will be invited to visit Ann Arbor, Michigan for in-person onboarding. • By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with our Censys Privacy Policy.