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V Narendra KumarVN

V Narendra Kumar

Senior Product Manager

EUR 347/Tag
New Delhi, IN
8-15 Jahre

Durchschnittliche Reaktionszeit: 1h

Über V Narendra

  • Englisch

    Muttersprachlich oder zweisprachig

Nur remote
Führt Projekte hauptsächlich remote aus

Projekt- und Berufserfahrung

  • Makse Group
    Technical Product Manager
    Oktober 2025 - Heute (8 Monate)
    • ● Spearheaded the Finance POD, driving product strategy and roadmap for 4 enterprise apps (Currency Loader, Bank Account Management, Whistleblower, and Global Worker Connect) on the Workday Marketplace, leading 10+ developers to deliver governance-first workflows (role-based permissions, approvals, audit trails) and improve reliability across key finance and compliance journeys.
  • Freelance
    Senior Product Consultant
    Juni 2025 - Oktober 2025 (4 Monate)
    • ● Partnered with early-stage and growth-stage SaaS teams as a Senior Product Consultant to define end-to-end product lifecycle strategy from discovery to GTM - across API gateway security, identity & access management (IAM), AI-assisted workflows, and billing automation. Helped shape scalable architecture, governance-first admin controls (role-based permissions, approvals, audit trails), and integration patterns (CRM/ERP/payment gateways) that reduced TTV and improved platform reliability.
  • Builder.ai
    Technical Product Manager
    Februar 2024 - Mai 2025 (1 Jahr und 3 Monate)
    • ● Built and scaled (0 to 1) an enterprise-wide IAM/IGA platform enforcing SSO/MFA and scoped RBAC/ABAC roles and governed access lifecycle for 40 enterprise clients serving 2M+ active users, cutting onboarding time by 65% and eliminating 90% of excess permissions. Converted IAM into an API first service, with automated provisioning, access reviews, SoD controls, and audit-ready evidence, mirroring a plugin-style developer experience.
    • ● Led DevSecOps to implement WAAP aligned secure API gateways using OAuth2, scoped tokens, tenant isolation policies, and rate-limiting rules leading to a 40% reduction in unauthorized access attempts and mitigated scraping abuse from high-volume API consumers.
    • ● Built and scaled an AI-powered sales engagement platform (0 to 1) with modular workflows and CRM-embedded automation enabling signal-based lead scoring (intent/sentiment + engagement signals) and governed actions (scoped permissions + approval gates + audit logs) achieving 95% adoption, increased 20% conversion, and reduced 25% sales cycle time. Shipped iteratively via async cross-functional squads and data-driven A/B testing, aligning roadmap evolution with real-time usage analytics and developer feedback.
    • ● Re-architected end-to-end Order to Cash and AR/AP workflows, reducing billing cycle from 7 days to less than 2 hours and cutting manual effort by 95%; improved DSO (days sales outstanding) and accelerated receivables by 20% backed by auditable invoice change logs and reconciliation-ready reporting.
    • ● Automated client-side billing issue detection and resolution using event-driven observability instrumentation, invoice change logs, and AR analytics, reducing support tickets by 90% and boosting CSAT from 1 to 4.

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Ausbildung und Abschlüsse

  • B.Tech
    SRM University
    2016
    B.Tech

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