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We are looking for a Senior Product Manager (Cloud WAF & API Security) to take end-to-end ownership of a core domain within our cloud application security portfolio.
Job Id: 25407
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 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 seeking a highly skilled AI Product Intelligence Lead to modernize and elevate the Product Management function by building an AI-driven product knowledge platform. This role focuses on aggregating and unifying organizational data (engineering, product, competitive, customer) into a structured data lake, and developing an internal AI assistant that empowers the Product organization with real-time insights, competitive analysis, roadmap support, and decision-making acceleration.
This position sits at the intersection of AI, data engineering, product strategy, and organizational knowledge management. You will function as the AI engine behind our company Product Management - turning scattered information into structured intelligence and building the tooling that allows PMs to think faster, act smarter, and execute at scale.
Key Responsibilities
1. Build the company Product Data Lake
Ingest and normalize data from internal systems including:
Git / GitHub / GitLab (code evolution, releases, components, architecture)
Jira (epics, features, sprint data, backlog health, execution trends)
Confluence (specs, design docs, product decisions, reviews)
Connect and harvest relevant external data:
Competitor websites and public documentation
Analyst reports, industry standards, RFCs
Media, blogs, financial/market data, community repos
Establish pipelines for continuous ingestion, cleaning, tagging, and semantic indexing.
Define and enforce taxonomies, metadata schemas, and embedding strategies for structured and unstructured product information.
2. Build an AI Assistant for the Product Management Function
Design and maintain a secure, internal company PM chatbot capable of:
Understanding our company architecture, products, roadmaps, modules, and features
Generating roadmap proposals based on business goals, competitive gaps, and engineering capacity
Providing competitive analysis, feature comparisons, and market positioning
Summarizing design docs, Jira epics, technical specs, PRDs, RFCs, and Confluence pages
Acting as an AI peer/consultant for PMs: drafting PRDs, feature breakdowns, risks, GTM summaries, and opportunity reports
Implement multi-source retrieval (RAG), long-context reasoning, and fine-tuning strategies where applicable.
Collaborate with Engineering to ensure data security, access control, and compliance.
3. AI-Driven Product Intelligence & Competitive Strategy
Automatically identify gaps vs. competitors and recommend differentiators.
Use AI to synthesize market intelligence and propose strategic moves.
Build dashboards for product, competitive, and risk insights.
Create automated alerts for competitor releases, standards changes, and relevant industry updates.
4. Cross-Functional Collaboration
Work closely with Product Managers, R&D, Architecture, CTO Office, Sales Engineering, and Leadership.
Translate business goals into AI capabilities and intelligence-driven tooling.
Train PMs on using AI tools effectively and integrate AI into their daily workflows.