Product Discovery
Understand users, identify pain points, research markets and turn ambiguous problems into clear opportunities.
Open to Product Opportunities
Ananya
Vishnoi.
Product Manager & Technical Product Manager
Turning complex problems into simple, scalable products, combining product strategy, technology, AI, UX and execution.
- Focus
- AI, SaaS & 0→1
- Background
- Engineering
- Works across
- Product · Design · Eng
Product Philosophy
Don't build more.
Build what matters.
- Problem
- Research
- Strategy
- MVP
- Build
- Measure
- Iterate
01 — About
Product thinking with technical depth.
I bridge the gap between users, business, design and engineering.
I'm Ananya Vishnoi, a Product Manager with an engineering background, focused on turning user and business problems into practical, scalable products.
I work across the product lifecycle, from problem discovery, user research and strategy to requirements, prioritization, execution and iteration.
My technical background helps me work closely with engineering teams and understand APIs, architecture, data, AI and technical trade-offs.
I'm particularly interested in AI, SaaS, consumer technology and 0→1 products.
Product Discovery
Understand users, identify pain points and validate product opportunities.
Product Strategy
Define product vision, MVP scope, priorities, roadmaps and success metrics.
Cross-functional Execution
Work across product, engineering, design and business teams.
AI Product Development
Explore AI capabilities that solve meaningful user problems.
02 — What I Do
From problem to production.
The core capabilities I bring to a product team, across discovery, strategy, delivery and measurement.
Product Strategy
Define product vision, MVP scope, feature priorities, roadmaps and success metrics.
Cross-functional Execution
Translate product requirements into actionable work for engineering, design and business teams.
AI Product Development
Design AI-powered experiences around real user problems, usability and measurable outcomes.
Product Analytics
Define KPIs, understand user behavior and use data to identify product opportunities.
Technical Product Management
Bridge product requirements with APIs, architecture, data and engineering implementation.
03 — Product Approach
How I think about products.
Strong products start with understanding the problem — not immediately building a feature.
- 01 Problem
- 02 Research
- 03 Validate
- 04 Strategy
- 05 MVP
- 06 Measure
Don't build more. Build what matters.
04 — Featured Work
Product case studies.
Selected products and initiatives demonstrating product thinking, technical execution and problem solving.
CASE STUDY 01
AI-Powered
Roommate
Matching
PRODUCT MANAGEMENT
Turning roommate discovery into a compatibility problem.
A compatibility-focused roommate discovery platform designed to help users find people they can actually live with — beyond location and budget.
- Problem discovery & user research
- User personas & journeys
- MVP definition
- Feature prioritization
- AI-assisted matching
- Product metrics & experimentation
CASE STUDY 02
Elara
AI PRODUCT
Building an AI knowledge assistant for faster access to internal company information.
Elara is an AI-powered knowledge assistant designed to help teams search and interact with fragmented internal knowledge across documents, GitHub repositories, CRM data and other company sources.
- AI-powered knowledge discovery
- RAG-based product architecture
- Product discovery and user research
- Information retrieval experience
- Product strategy and requirements
CASE STUDY 03
Product
Analytics
PRODUCT ANALYTICS
Turning product data into product decisions.
A product analytics concept designed to help teams understand user behavior and identify opportunities for product improvement.
- Activation
- Retention
- Conversion
- Churn
- Feature adoption
05 — Experience
Building across product and technology.
Roles across product, business and engineering — the mix that shaped how I work with technical teams today.
— Present
iiTeam
Technical Product Manager
Contribute to software products across frontend, backend and AI-driven applications while working closely with product requirements and technical implementation.
— Present
iiSpace
Director
Work across client requirements, product delivery and technology for an aviation-focused operational system. Translate customer needs into product and solution requirements while balancing business objectives, stakeholder expectations and technical constraints.
—
IBD
Business Developer
Work with clients and business stakeholders to identify opportunities, understand requirements and develop strategic partnerships.
—
ADesignGuy
UI/UX Developer & Designer
Worked on AI-powered products including Lille AI and Cassette, focusing on user experience and AI-driven product interactions.
—
North Creative
Web Developer
Worked with clients from requirements and ideation through design, development and deployment.
—
Seareed
Associate Software Developer
Contributed to website and digital product development across design, development and user experience.
—
Game Dunes Technologies
Web Developer
Developed user interfaces and conducted competitor analysis to identify opportunities for improving user experience.
—
Prodevans Technologies
Software Developer
Developed and deployed web applications while contributing to requirements, prototypes, user experience and product implementation.
06 — Product Artifacts
How I turn ideas into execution.
Product thinking is demonstrated through decisions, documentation and execution — not just finished screens.
PRDs
Product requirements, goals, non-goals, user stories and acceptance criteria.
Roadmaps
MVP, growth priorities, product initiatives and release planning.
Prioritization
Frameworks for evaluating impact, effort, confidence and strategic importance.
Metrics
KPIs, funnels, activation, retention, conversion and product outcomes.
07 — Skills
Product first. Technical by nature.
The product, analytics, AI and engineering toolkit I work with day to day.
Product
- Product Management
- Product Strategy
- Product Discovery
- User Research
- Roadmapping
- MVP Definition
- Prioritization
- PRDs
- Agile
- Stakeholder Management
Analytics
- Product Analytics
- KPI Definition
- SQL
- Data Analysis
- Experimentation
AI
- Generative AI
- AI Products
- LLMs
- AI UX
- AI Strategy
Technical
- Python
- Django
- React
- React Native
- JavaScript
- REST APIs
- PostgreSQL
- Git
Design
- Figma
- UX Design
- User Flows
- Prototyping
Tools
- Jira
- Confluence
- GitHub
- Figma
- Postman
08 — Product Metrics
Measure what matters.
Product success isn't just about shipping features. It's about whether those features create meaningful outcomes.
01
Acquisition
Sign-ups, traffic, acquisition channels and CAC.
02
Activation
Onboarding completion and first-value events.
03
Engagement
DAU, WAU, feature adoption and meaningful interactions.
04
Retention
Cohort retention, repeat usage and churn.
09 — Let's Connect
Let's build something meaningful.
I'm interested in Product Manager and Technical Product Manager opportunities where I can combine product thinking, technology, AI and execution to solve meaningful problems.
ananyavishnoi26@gmail.com