BluSapphire Cyber Systems

Company - BluSapphire Cyber Systems 

Position - Product Manager

Experience - 5+ years 

Location - Hyderabad ( 5 Days WFO) 

About BluSapphire :
BluSapphire is a Series-A, AI-first cybersecurity company building Agentic SIEM, Autonomous SOC, One Agent (Next-Gen EDR/XDR), and a Threat Data Hub that powers petabyte-scale security analytics with explainable, auditable actions. We serve regulated and high-stakes industries where reliability is non-negotiable.

The Role : 
You will own strategy → roadmap → delivery for one or more of our core products, working closely with top management and product/engineering leaders in Hyderabad. The mandate: ship world-class features at lightning speed while upholding enterprise-grade reliability, security, and testability. You'll translate market and customer feedback into decisive product moves before competitors can blink.

Outcomes You'll Own :
• Velocity with quality: Increase release cadence while maintaining enterprise readiness (SLOs, regression gates, rollback clarity).
• Measurable SOC impact: Improve MTTD/MTTR, reduce false positives, lift analyst efficiency, and optimize EPS/storage TCO.
• AI you can trust: Ship agentic workflows that are explainable, auditable, and safe (human-in-the-loop where needed).
• Market pull: Turn customer/partner feedback into shipped value in weeks, not quarters.

What You'll Do : 
Strategy & Roadmap
• Define and evolve roadmaps for Agentic SIEM, Autonomous SOC, One Agent (EDR/XDR), and Threat Data Hub.
• Convert market signals, customer councils, and competitive intel into clear priorities and trade-offs.
• Conduct market research and competitive analysis to identify emerging threats, AI trends, and customer pain points.
AI-Native Productization
• Design agentic detection→decision→response loops with evaluation harnesses (precision/recall, drift checks, guardrails).
• Partner with research/engineering on model choices, prompts/policies, and explainability instrumentation.
Execution & Quality
• Translate complex security and AI requirements into clear product specs, PRDs, and user stories.
• Drive the full product lifecycle: ideation → MVP → GA → iteration with feature flags, canaries, phased rollouts, and crisp rollback criteria.
• Work closely with engineering in Hyderabad to deliver rapid, high-quality releases using modern AI-driven dev tools.
• Balance speed to market with rigorous reliability testing for enterprise-grade deployments.
• Define measurable outcomes: faster detection, lower MTTR, analyst efficiency, and storage/TCO optimization.
Enterprise Workflow Depth
• Formalize L1→L3 automation, case mgmt, threat intel enrichment, and MITRE ATT&CK mapping.
• Shape data contracts/retention economics across lakehouse/warehouse (e.g., Iceberg/S3/ADLS), index tiers, and hot/cold paths.
GTM & Ecosystem
• Collaborate with Sales, Marketing, and Customer Success to create go-to-market plans, pricing, and positioning.
• Partner with GTM teams to ensure competitive positioning, sales readiness, and strong launches.
• Engage directly with CISOs, SOC managers, MSSPs, and industry partners to validate features and gather feedback.
Compliance & Privacy
• Ensure products meet regulatory and compliance standards (SOC 2, ISO 27001, GDPR, etc.).
• Build privacy-by-design, data minimization, and retention guardrails; support customer audits.
• Advocate for ethical AI practices, explainability, and model risk management.

What Great Looks Like (30/60/90)
• 30 days: Product deep-dive; shadow SOC shifts and key customers; publish “What Not To Break” reliability notes; propose a 90-day win plan.
• 60 days: Lock a focused roadmap slice; ship 1–2 needle-mover features with measurable SOC impact; stand up feature flags & phased rollouts.
• 90 days: Land a marquee launch (or two) with references; show concrete TCO/MTTR wins; present next-two-quarters plan with clear KPIs.

Required Experience
• 5+ years in PM (or equivalent) delivering data-intensive or security products; exceptional 5–7 years considered.
• Hands-on depth in SIEM/SOC/MDR/XDR workflows (detections, correlation/UEBA, case mgmt, SOAR/playbooks).
• Proven record of shipping fast in cloud-native stacks while keeping enterprise reliability (SLOs, canaries, rollback) intact.
• Comfort with AI/automation in production: evaluations, safety/guardrails, observability, and post-incident learning.
• Working knowledge of cybersecurity frameworks (NIST, MITRE ATT&CK), detection techniques, and anomaly detection.
• Practical AI/ML literacy: supervised/unsupervised methods, anomaly detection, prompt/policy design, evaluation (precision/recall, drift), and explainability.
• Cloud familiarity: AWS/Azure/GCP; security controls, data services, IAM.
• Excellent product writing, crisp prioritization, and stakeholder alignment across execs, eng,design, sales, and customers.
• (Education) BS/MS in CS/EE/InfoSec/Data Science or equivalent experience.