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.