We are looking for a Senior Product Manager (Cloud WAF & API Security) to take end-to-end ownership of a core domain within our companys cloud application security portfolio. This role sits at the heart of how modern enterprises protect internet-facing applications and APIs across cloud and hybrid environments-delivering security outcomes without slowing delivery teams.
our companys security products are award-winning and industry-leading, trusted by thousands of customers worldwide. As the Product Manager for Cloud WAF and API Security, you will define the product vision and strategy end-to-end: from deeply understanding customer needs and attacker/market trends, through defining the roadmap and guiding execution, to ensuring successful adoption and long-term value.
You will work closely with engineering, UX, research, product marketing, sales, and customer success-leading complex initiatives across multiple teams. This role requires strong product judgment, the ability to lead through ambiguity, and a passion for building scalable, high-quality cloud security products that solve real customer problems.
A key success factor in this role is strong Agile/SAFe leadership, including experience driving or influencing Agile transformation to improve flow, predictability, and customer impact
Key Responsibilities
Lead the product strategy, vision, and roadmap for Cloud WAF and API Security (WAAP) capabilities, aligned with company goals, customer outcomes, and evolving attacker techniques.
Own customer discovery and problem validation: engage enterprise security teams, platform teams, and developers to understand workflows, constraints, and adoption blockers across cloud environments.
Drive a roadmap that addresses key WAAP areas such as:
Cloud WAF policy and rule management, tuning, and false-positive reduction
API discovery and inventory (including shadow/zombie APIs)
API behavioral anomaly detection
Auth and abuse patterns (e.g., broken auth, BOLA, scraping, credential stuffing) in partnership with bot/abuse controls
Integrations with CI/CD, API gateways, ingress controllers, service mesh, and cloud-native tooling
Observability and analytics (security visibility, attack forensics, risk posture)
Own requirements and prioritize delivery; ensure crisp execution using SAFe/Agile best practices (backlog readiness, PI planning support, dependency management, clear acceptance criteria, outcome-based prioritization).
Contribute to or drive Agile transformation efforts across teams: improve operating cadence, delivery predictability, cross-functional alignment, and measurable outcomes.
Work closely with UX/UI to deliver intuitive workflows for both security and platform teams (policy authoring, onboarding, triage, tuning, and incident response).
Drive end-to-end product delivery from concept to launch: user stories, validation, beta programs, release readiness, and launch execution.
Define success metrics and iterate post-launch using data (adoption, efficacy, performance, cost signals, support escalations, retention/expansion).
Collaborate with product marketing on positioning, messaging, and go-to-market planning for releases and major launches.
Engage with customers, sales, and customer success to gather feedback, address concerns, and identify growth opportunities.

We are looking for a Senior Product Manager to join our Detection team and help drive our detection-based solutions. In this role, you will own a core part of the platform that detects and decides, in real time, whether an interaction can be trusted - telling humans from agents from fraudsters in real time, at a moment when that line is blurring fast. Fraud and risk now touch every interaction, and autonomous AI agents are dissolving the old assumptions about what "human," "trusted," and "normal" even mean. You'll fuse device, behavioral, network, and contextual signals into accurate risk real-time decisions across login, transactions, and the full user journey - and help invent the detection approaches this new landscape demands, not just tune the ones that worked yesterday.
This is a balanced role at the intersection of deep detection technology and real customer outcomes. You'll translate identity fraud and risk problems into a clear roadmap, work shoulder-to-shoulder with researchers, data scientists and engineers on detection quality, and make sure what we ship moves the needle for customers. Staying ahead of this threat landscape - from classic fraud and bots to increasingly sophisticated automated and agent-driven attacks - is central to the job. You won't need to be a data scientist, but you should be genuinely curious about how detection works and comfortable reasoning about precision, recall, and false positives with the team.
What youll do:
Own the roadmap for your area of the detection platform - from discovery and problem definition through delivery and adoption - and align it with company strategy and customer needs.
Partner closely with data science and engineering to improve detection quality: recommendation accuracy, coverage of new fraud and abuse patterns, model and rule performance, and reduction of false positives.
Define what "good" looks like and track the metrics that matter - detection rate, false-positive rate, customer impact, latency, and adoption - and use them to drive decisions.
Engage regularly with customers, TAMs, and analysts to understand real fraud problems and the operational reality of running detection at scale.
Anticipate emerging threats, including automated and AI-driven abuse, and shape how the platform detects and responds to them.
Write clear, lean specs and PRDs, and make sharp scoping calls that get value to customers quickly without over-building.
Work with design and documentation to deliver a coherent, well-explained experience across the admin console and APIs.
Support go-to-market with enablement, positioning input, and helping the field and customers adopt what we build.
Manage stakeholders and dependencies across product, engineering, data science, and other teams.