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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in product management with a focus on building AI-driven solutions and managing end-to-end product development. Proficient in vulnerability management and full-stack development, with a strong emphasis on customer collaboration and measurable impact.
Highest-signal resume keywords
5+ Years In Product ManagementExperience In Vulnerability ManagementFull-Stack Experience With Python, Go, C#, Node.jsProduction Cloud Experience With AWS Or AzureDaily Use Of AI Coding Tools
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Product ManagementVulnerability ManagementFull-Stack DevelopmentSQLAI ToolsReactTypeScriptCI/CDObservabilityLarge Datasets
Soft Skills
Customer CollaborationProblem-Solving
Tools & Technologies
AWSAzureAI Coding ToolsData PipelinesMonitoring Tools
Industry Keywords
CVECVSSKEVEndpoint RemediationSecurity Domain ExperienceCompliance Domain ExperienceIT Operations Experience
Tech Stack
Tools & technologiesAWSAzureCloudJavaScriptNode.jsOpen SourcePythonReactSQLTypeScriptGo
About the role
Key responsibilities & impact- Take new compliance capabilities from idea to production in weeks, not quarters
- Build data pipelines joining vulnerability, patch, and device data from agents, scanners, and patch catalogs
- Design and ship AI features that explain risk, prioritize remediation, generate audit evidence, and remediate safely
- Own production quality, including finding correctness, monitoring, alerting, and prevention of silent failures
- Work directly with customers and field teams to turn problems into shipped product
- Measure post-release impact and iterate
- Own features end to end from customer problem through backend, data, UI, release, and measurement
Requirements
What you’ll need- 5+ years in product management
- Track record of building 0-to-1 products that reached real users
- Proven ability to create working products using AI tools across required feature technologies
- Experience working directly with customers and delivering solutions to their needs
- Experience in vulnerability management, including scanners, CVE/CVSS/KEV, and endpoint remediation
- Full-stack experience with backend technologies such as Python, Go, C# or Node.js
- SQL and experience with large datasets
- Enough frontend experience with React/TypeScript to ship complete features
- Production cloud experience with AWS or Azure
- CI/CD and observability experience
- Daily use of AI coding tools
- At least one LLM, RAG, or agent feature shipped to production
- Fluent English (B2+)
- Security or compliance domain experience is a strong plus
- Endpoint or IT operations experience is a strong plus
- Founding engineer or early-startup experience is a strong plus
- Side projects or open source built and launched independently are a strong plus
Benefits
Comp & perks- Hybrid work model
- Global company offsite once a year
- Meaningful impact from day one
- Cutting-edge technology work
- Collaborative, empowering culture
- Learning and professional growth encouraged
- Vibrant social culture
