Senior Lead Product Manager AI Cybersecurity
Senior Lead Product Manager AI Cybersecurity
Posted on :
22-09-2025
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1 Vacancy
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Job Description
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
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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