Lead Product Manager — Platform, AI & Data Products Bengaluru, India
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🎯
Positioning
I build platform, AI and data products that turn deep technical systems into intuitive, high-adoption tools — across payments, SaaS and developer platforms. 0→1 builder, outcomes-obsessed, AI-everywhere
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📈
Signature outcomes
- +40% release velocity
- −30% change failure rate
- −50% MTTR
- −35% release/security incidents
- +40% platform adoption
- +78% NPS (quarterly)
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🔗
Links
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📊
Scale
- 2,000+ apps
- 18,000+ developers
- Global cloud platforms
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Resume
Outcomes dashboard
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⚡
+40%
Release velocity
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🛡️
−30%
Change failure rate
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⏰
−50%
MTTR
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☁️
99.999%
Uptime
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What I do (and why it works)
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🧭
Platform as Product
- Personas & JTBD for internal engineers — adoption is the metric, not delivery
- Golden paths, reusable templates & self-service onboarding, so the right way is the easy way
- Outcome-first roadmaps tied to OKRs and north-star metrics (adoption, velocity, cost-to-serve)
Why it works: platforms fail on adoption, not features. Designing for the consumer turns a top-down mandate into genuine pull.
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🤖
AI-Native Product
- Agentic workflows built with confidence thresholds, human-in-the-loop checkpoints & escalation paths
- Success metrics for every AI feature — quality, latency, reliability, adoption — with privacy & security guardrails
- LLMs, RAG & MCP applied to real workflows (migration, RCA, authoring), not demos
Why it works: AI earns trust only when it knows its limits. Human-in-the-loop plus measurable quality make autonomy safe enough to actually adopt.
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📡
Observable & Reliable Delivery
- DORA + SLO/SLI instrumentation and executive dashboards that make service health legible
- Governance as guardrails — policy-as-code (OPA), quality gates, SAST/DAST/SBOM — auditable by default
- Faster incident detection and recovery, so reliability becomes something users feel
Why it works: you can't improve what you can't see. Instrumented, guarded delivery compounds velocity and trust at the same time.
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🏗️
Change at scale
- Migration programs run as waves — scream tests, exemption governance, BU workshops
- Cross-functional alignment across Engineering, Security, Compliance, Finance & leadership
- Playbooks and reference implementations so teams self-serve the transition
Why it works: enterprise change is a distribution problem. Sequencing and enablement move thousands of engineers without breaking them.
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All My work portfolio
Experience
Great products remove friction, create leverage, and scale decision‑making.
- Outcomes over outputs
- Reliability & operability from day one
- Data as narrative, not just reporting
- Platforms as products, with empathy for the engineers who live in them