Leadership & Communication
- Excellent communication skills for engaging with technical (security engineers) and non-technical (executives) stakeholders
- Strong cross-functional leadership across engineering, data science, design, sales, and marketing
- Ability to balance innovation with pragmatic execution in fast-paced environments
- Experience building products for security practitioners who value automation that actually works
Job Title:
Cybersecurity Product Manager - Autonomous SOC Platform (Full-Time, Hybrid) Location:
HYBRID (CHENNAI) Type:
Full-Time, Permanent Start Date:
Immediate
About the Role
Virtual Security Engineer - Autonomous Detection Models
- Evolve our no-code platform that enables building threat detection models in minutes
- Enhance AI capabilities to autonomously create detection models at scale using deep genetic algorithms
- Drive toward >99% detection coverage across the cyber kill chain and MITRE ATT&CK framework
- Develop self-learning models that use feedback to continuously train themselves and improve effectiveness
- Enable rapid deployment of autonomous models that automatically activate when relevant threats are encountered
Digital Investigator - Automated Investigation & Response
- Build advanced automated investigation capabilities that prioritize critical alerts and eliminate false positives (current: 80-95% reduction)
- Develop visual timeline features with rich contextual information for rapid threat understanding
- Create automated response and remediation workflows that reduce MTTR by 90%
- Enable correlation across multiple datasets including identity analytics for comprehensive threat detection
- Design investigation graphs that provide 360 visibility without requiring custom query development
Proactive Threat Hunter - AI-Driven Threat Discovery
- Enhance our no-code threat hunting platform for discovering hidden threats and vulnerabilities
- Build scenario-based anticipation capabilities to prepare for future attack vectors
- Integrate advanced threat intelligence feeds for enriched context
- Develop capabilities to proactively search across endpoints, networks, and software
- Enable security analysts to create complex hunting models through simple drag-and-drop actions
Security Data Lake - Unified Intelligence Platform
- Expand data ingestion capabilities across applications, networks, endpoints, cloud workloads, and SaaS applications
- Build centralized analytics that provide visual timelines with associated context
- Enable AI-driven pattern analysis and correlation across disparate data sources
- Develop risk scoring algorithms that automatically prioritize high-value threats
- Create foundation for predictive analytics that anticipate attacks before they materialize
Cloud Security & Full Spectrum Coverage
- Enhance holistic cloud security for protecting data, applications, and users in real-time
- Build continuous assessment capabilities for cloud security posture
- Develop automated detection and response for cloud workloads and SaaS applications
- Enable comprehensive coverage across the entire attack surface
- Integrate with identity, security, and SaaS products for unified visibility
Key Responsibilities
Product Strategy & Execution
Collaborate directly with company founders and engineering leadership to translate our vision of autonomous cybersecurity into actionable roadmaps. Prioritize features that deliver measurable outcomes: 95%+ MITRE ATT&CK coverage, 95% false positive reduction, 90% decrease in MTTR.
Customer Discovery & Market Validation
High-Velocity Product Development
Technical Integration Leadership
Go-to-Market Partnership
Required Skills & Expertise
Security Operations & AI/ML Expertise
You possess deep understanding across multiple domains:
SOC Operations:
- How SOC analysts triage alerts, investigate incidents, and respond to threats
- The operational impact of alert fatigue and false positives on analyst effectiveness
- Why existing SIEM/XDR platforms generate excessive noise requiring manual filtering
- Metrics that matter: MTTD, MTTR, detection coverage, false positive rates
AI/ML in Security:
- How machine learning models detect behavioral anomalies and unknown threats
- Self-learning systems that improve effectiveness through feedback loops
- Automated risk scoring and intelligent alert prioritization
- Natural language processing for security analytics
- Genetic algorithms and their application to autonomous model creation
Offensive & Defensive Security:
- MITRE ATT&CK framework and cyber kill chain methodology
- Attack techniques across Windows, Linux, macOS, and cloud environments
- How adversaries exploit detection blind spots and coverage gaps
- Threat intelligence integration and proactive threat hunting methodologies
Product & Analytical Skills
- Strong SQL skills for analyzing security telemetry and detection effectiveness
- Experience with product analytics platforms (Pendo, Mixpanel, Amplitude) for measuring feature adoption and impact
- Ability to translate complex AI/ML concepts into clear customer value propositions
- Data-driven approach to prioritization based on measurable security outcomes
Leadership & Communication
- Excellent communication skills for engaging with technical (security engineers) and non-technical (executives) stakeholders
- Strong cross-functional leadership across engineering, data science, design, sales, and marketing
- Ability to balance innovation with pragmatic execution in fast-paced environments
- Experience building products for security practitioners who value automation that actually works
Nice to Have:
- Hands-on experience as SOC analyst, detection engineer, threat hunter, or security researcher
- Deep knowledge of SIEM/SOAR platforms (Splunk, Sentinel, Sumo Logic, Chronicle, Palo Alto XSOAR)
- Understanding of XDR/EDR architectures (CrowdStrike, SentinelOne, Microsoft Defender)
- Experience with cloud security platforms and CSPM tools (Wiz, Orca, Prisma Cloud)
- Background in data science, machine learning engineering, or AI product development
- Familiarity with no-code/low-code platform design for technical users
- Track record bringing innovative AI-powered security products from concept to market
- Network within the cybersecurity community (SANS, FIRST, threat intelligence sharing groups)
Impact & Success Metrics
Within 12 months, you will:
- Enhance autonomous detection capabilities to maintain >99% coverage across the cyber kill chain
- Drive product improvements that sustain 90%+ false positive reduction rates
- Build features that enable customers to reduce MTTR by 90% through automated investigation
- Expand coverage into critical blind spots: cloud runtime behaviors, macOS/Unix endpoints, network detections
- Deliver capabilities that allow resource-constrained teams to achieve enterprise-grade security outcomes
- Establish RevSOC as the recognized leader in autonomous, AI-driven security operations
Customer Outcomes You'll Enable:
- "Using RevSOC eliminated 80% of the false positives we were seeing in our existing SIEM"
- "Automated 80% of our manual investigation process"
- "Reduced our false positive rate by 10x, and the time-cost savings has been invaluable"
- "Ability to correlate multiple datasets with identity analytics helped us detect and act on threats during critical situations"
Qualifications
Educational Background & Experience
- Bachelor's degree in Computer Science, Cybersecurity, Engineering, or related technical field
- 7+ years in B2B SaaS product management, preferably in cybersecurity (SIEM, XDR, SOAR, or security analytics)
- Demonstrated success launching AI/ML-powered security products that SOC teams adopt at scale
- Proven ability to drive complex integrations across enterprise security ecosystems.
What We Offer
Compensation & Benefits
- Competitive salary commensurate with experience
- Significant equity stake in a high-growth cybersecurity company
- Comprehensive health, dental, and vision benefits
- Flexible work arrangements (remote/hybrid options available)
- Professional development budget for security conferences, certifications, and continued learning
- Opportunity to shape a category-defining product used by enterprise security teams
