Senior Lead Product Manager AI Cybersecurity

Greetings from Netsach - A Cyber Security Company.

Job Description

We have an immediate requirement of Sr. Product Lead Manager with 7 - 12 yrs of experience. Candidate 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. Youll translate market and customer feedback into decisive product moves before competitors can blink.

Outcomes Youll 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.

Job Title: Senior/Lead Product Manager: Agentic AI Cyber

security

Job Location: Hyderabad - Onsite

Exp: 8-12yrs

Job Type: Fulltime

Interested candidates please share your resume at and please register at and send us your resume.

Required Experience

• 812 years in PM (or equivalent) delivering data-intensive or security products; exceptional 57 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 ATTCCK) 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.
• Based in Hyderabad (or willing to relocate).

Nice to Have

• MSSP/MSP product motions; multi-tenant controls; usage-based or value-based pricing.
• Threat intel ecosystems (MISP/OTX/CERT advisories) Sigma/Kusto/KQL familiarity.
• Data governance C ethical AI: lineage access controls model risk management.
• Data lakehouse ops (Iceberg/Delta/Hudi) retention economics.
• Security/compliance exposure (SOC 2/ISO 27001) enterprise change mgmt.
• Certifications: CSPO/PSPO Pragmatic PMC or equivalent.
• Experience with BFSI healthcare pharma buyers and third-party risk reviews.

What Youll 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 s 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 ATTCCK mapping.
• Shape data contracts/retention economics across lakehouse/warehouse (e.g. Iceberg/S3/ADLS) index tiers and hot/cold paths.

GTM s 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 s 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/G0)

• 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 12 needle-mover features with measurable SOC impact; stand up feature flags C 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.

Key Competencies

• Strategic C analytical: converts fuzzy signals into sharp prioritized bets.
• Customer-first: sits with CISOs/SOC leads; ships what shortens MTTD/MTTR.
• Decisive under speed: makes reversible decisions fast irreversible ones with data.
• Execution rigor: obsessive acceptance criteria test plans post-mortems.
• Storytelling: crisp writing compelling demos clear trade-offs.
• Partnership mindset: aligns execs eng design sales and customers.

KPIs Youll Move

• Effectiveness: MTTD/MTTR true-positive rate false-positive reduction auto-closure % dwell-time reduction.
• Efficiency: EPS cost storage $/TB-month ingestion latency runbook automation coverage.
• Quality: P0/P1 defects rollback rate upgrade success availability/SLO adherence.
• Adoption/Growth: win-rate vs. incumbents expansion by modules time-to-value NRR.

How We Build

• Speed with safeguards: feature flags dark launches progressive rollouts structured post- mortems.
• AI Safety C Explainability: human-in-the-loop for sensitive actions transparent reasoning artifacts customer-visible evaluation dashboards.
• Privacy C Compliance by design: DPIAs where needed least-privilege access auditable data flows customer-controlled retention.
• Observability: golden paths synthetic monitors SLOs with burn-rate alerts upgrade health KPIs.
• Customer-in-the-loop: CISO/SOC councils design partner cycles and field-ready betas.
• Written culture: PRDs that clarify trade-offs; dashboards that show impact.

Location C Working Model

• Hyderabad hub with close pairing to engineering; flexible hybrid for India-based candidates; relocation support available for the right talent.

Compensation

• Competitive salary meaningful equity. We hire for impact and reward for outcomes.

What We Offer

• Build genuinely market-leading AI security products used in high-stakes environments.
• Collaborative builder culture with deep exposure to customers and execs.
• Competitive pay performance incentives equity and budget for learning/certifications.
• Continuous learning and professional development in the fastest-moving space in cybersecurity.

Thank You

Emily Jha

Netsach - A Cyber Security Company