BluSapphire Cyber Systems - Product Manager

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 detectiondecisionresponse 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 L1L3 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.