Nayana Kumari
Solving ambiguity for enterprise AI
IndiaOpen to work
Currently
Exploring agentic systems and their underlying infrastructure
About
Product manager with an engineering background and experience in developing and scaling products at early-stage AI startups. My hands-on approach includes customer discovery, 0→1 development, product strategy, go-to-market planning, and analytics, while collaborating closely with engineering during launch and iteration. Recently, I helped teams transform unclear customer needs into successful products and measurable results. I'm seeking to apply this expertise in a high-growth environment where I can remain connected to users, technology, and the product.
Experience
Founding Product Manager · Vidrush AIRemote
- Scaled product access from 10k to 80k users/week across a growing 900k+ waitlist, supporting infrastructure readiness, security fixes, AI-native workflows and a complete platform revamp.
- Delivered 6 core features and 4 follow-up releases through phased soft and hard launches, supporting ARR growth from $4.2M to $6M in 3 months through continuous user feedback and iteration.
- Onboarded and led AI engineering delivery, defining PRDs, technical benchmarks, individual and team KPIs, competitive insights and release priorities while aligning engineering, design and support teams.
- Increased higher-tier adoption from 10% to 40% by optimizing pricing, credits and packaging.
- Reduced issue resolution time to ≤1 hour through support automation and in-app incident communication, cutting major service disruptions from 24–48 hours to <6 hours.
Associate Product Manager · ProgressBangalore, India
- Took Opsmith from MVP to demo-ready product in 4 months, translating 8 PRDs into 36 epics and validating with 10 prospective users, resulting in 3 pilot sign-ups.
- Validated 8 of 10 hypotheses through 34 discovery and validation sessions, refining the ICP to enterprise SRE teams automating CI/CD under security and compliance constraints.
- Generated 40 qualified waitlist sign-ups across 3 GTM channels and benchmarked 8 AI-agent competitors to inform product positioning and roadmap priorities.
Product Growth Manager · Blaze AIBangalore, India
- Launched 10 features with supporting documentation and coordinated product, SEO and email campaigns, improving conversion by 8% and CTR by 5% while resolving 200+ customer queries.
- Ran 20+ cross-channel growth experiments, generating 100+ sign-ups on a $60k annual budget, identifying top-performing acquisition channels.
- Launched LinkedIn and Warpcast automations with 79% and 20% user adoption, converting 8 B2B pilots into 6-month paid subscriptions, using metric-led case studies to measure customer outcomes.
Junior Product Manager · PhasioRemote
- Led 3 enterprise feature launches - ManufacturingGPT, native GST support and Flywire integration, contributing to 20 new B2B deals through customer-led, metric-driven product requirements.
- Improved platform reliability across critical workflows with 40 automation Playwright tests, reducing downtime and saving 8 engineering hours per sprint.
- Implemented PostHog funnel analytics and targeted Crisp resolutions, reducing drop-offs by 24% and support issues by 80%.
Projects
- Swish User Experience ImprovementsThis prototype focuses on improving Swish for frequent urban users who order multiple times a week and face common issues with addresses, delivery timing, repeat meals, receipts, and price confidence. The goal is to streamline the experience by implementing features like default addresses, arrive-by scheduling, flexible meal routines, notification controls, saved dishes, bulk receipt exports, a clearer Swish ↔ GO experience, and a more transparent GO Price Proof flow using users' past Swiggy/Zomato bills, ultimately making ordering faster, more predictable, and more useful.Product management · vibecoding · prototype development
- Headout Onboarding Experience ImprovementThis prototype reimagines how Headout can personalize trip discovery and planning from the initial interaction, moving away from a generic onboarding process. It focuses on leisure travelers who have a specific trip in mind but need assistance in refining their options, particularly when traveling with diverse groups. The experience learns from user inputs like travel party, interests, accessibility needs, and planning style to enhance recommendations and contextualize discovery. I also investigated features like interactive itineraries, wishlists, sharing and voting, and filters for family/age and accessibility, alongside context-rich reviews. The core idea is that Headout’s strong inventory and curation can be complemented by gathering relevant user context to streamline discovery, enhance recommendation accuracy, facilitate collaborative planning, and encourage repeat visits.
- Foobar - Sysadmin Scripting AISourceFoobar is an MVP designed for sysadmins and IT operations teams, exploring how an AI agent can enhance infrastructure work beyond just generating code. It transforms natural-language requests into scripts, allowing users to review, edit, and deploy them safely, while reducing operational friction and maintaining human oversight in high-risk actions.
Education
B.Tech Electronics and Communication Engineering · Sri Ramaswamy Institute of Science and Technology (SRM IST)
- CGPA - 8.76/10
- Chennai, India
Skills
Product
- 0 to 1 Product Development
- Product Strategy & Prioritisation
- Customer Discovery
- Funnel & CTR Optimisation
- Pricing & Packaging
- GTM
- Competitive Intelligence
- Product Analytics
- Stakeholder Alignment
AI & Technical
- Generative AI & AI Agents
- AI-native Workflow Automation
- API/MCP Integrations
- Prompt & Token Optimisation
- PostHog
- SQL
- Playwright
- Jira
- Figma
- Claude Code
- Codex
- Cursor
- JavaScript
- Docker
- Code Review
- Testing
- Debugging
More about me
Languages
- HindiNative
- EnglishFluent
