01
AI-Driven, Not AI-Dependent
AI speeds up how fast I can test a thesis and build models. It doesn't decide the strategic thought for me.
GROWTH AND AI PRODUCT MANAGER
Hello!
I am JahnviMulchandani.
Growth and AI Product ManagerMumbai, India
Hello, I'm Jahnvi.
I like findingthe product hidinginside the problem.
Product designer turned AI Product Manager, working across product strategy, applied AI, product analytics, growth and 0→1 products.
Exploring AI PM / APM opportunitiesA LITTLE ABOUT HOW I THINK ↓
01 / HOW I OPERATEI care about what earns adoption,
I care about what earns adoption,
not just what ships.
02
Rapid Prototyping
Given a choice between debating an idea and building a rough version of it, I'll build the version.
03
Commercial Creativity
An idea earns its place by moving metrics, not just by being clever. Creativity is the means to reach the goal rather than the ultimate goal.
04
Picky, On Purpose
Saying no to the wrong feature keeps the product lean. I protect the roadmap from distractions that don't scale.
05
Engineering the prompts
I write prompts the way I write PRDs: every variable, edge case, and evals specified, leaving nothing for the model to guess.
06
Aesthetic Empathy
A good solution still has to look like one. If it doesn't feel worth using, it won't get used.
02 / SELECTED WORK
Project Spotlights.
Turning Curiosity into Strategy and Action
AI Decision Labs
LIVE PRODUCTAfter a “let’s add AI” meeting, what gets defined before the roadmap commits?
A decision system for defining the automation boundary, lowest-sufficient architecture, evidence confidence, risk gates, evals and the cheapest credible proof path before a team commits to building.
Enter the lab →
Autopsy Bro
PROTOTYPEThe metric moved. Does the evidence actually support the story we’re telling?
A source-traceable product diagnosis system that interrogates the evidence behind a product problem before the team trusts the conclusion.
Inspect the case →
Figma Dev Mode
PRODUCT TEARDOWN + STRATEGYWhat happens to Dev Mode when the developer stops translating the design and starts supervising an agent?
A strategy case on how agentic development changes Dev Mode’s user, value loop and role in the path from design intent to shipped product.
Read the teardown →
03 / THE WORK SO FAR
Growth taught me to decode behavior. Design taught me to spot friction. Product gave me the space to solve both.
Mar 2026 – Present01
Product Designer
(AI Product Design & Strategy)
Lockated
90%less documentation effort
Automated and standardized documentation for 15–16 products, cutting effort by 90% with reusable agentic workflows.
Simplified task creation from 11 to 6 steps, reducing friction by 45%; consolidated 4 fragmented live states into 1 gate lifecycle and simplified data points from 6–9 to ~3.
Led 0→1 strategy and prototyping for a B2C Life OS, handling market-gap analysis, feature prioritization, and build-ready design with the CEO.
Standardized product and GTM strategy across 32 products in 6 weeks, led 3 sprints, managed 2 interns, and adapted positioning for 10 industries.
Led 2 internal AI enablement workshops for leadership, product and QA teams on Claude, prompt engineering, reusable skills and AI workflow practices.
Feb 2026 – Mar 202602
Associate Product Manager & Designer
Early-stage AI SaaS (Contract)
15+build-ready screens in 2 weeks
Delivered 15+ build-ready screens in 2 weeks; collaborated on prioritization, interaction design, and launch planning.
consolidated 3 workflows into 1 reusable AI system generating brand-aware creative prompt-generator artifact that turned product positioning, user problems and solution context into reusable image, carousel and video prompts, while generating fresh creative directions on each run.
Developed an execution-ready GTM plan across launch, organic social and paid acquisition strategies.
Aug 2025 – Nov 202503
Performance Marketing Intern
(Product Strategy & Growth)
Cybez (Internship)
55%order growth in 1 week
Achieved 55% order growth in 1 week with 12% previous spend; delivered 7+ ROAS through acquisition experiments.
Reduced bounce rate by 18% via user journey audits across 12+ startups.
Owned onboarding and GTM launches for 12+ domestic and international startup clients, including target-user definition, competitor benchmarking and experimentation plans tied to product-market fit.
Apr 2025 – Jun 202504
Digital Marketing Intern
(UI/UX & Website)
NRI Nivesh (Internship)
20%increase in engagement and organic reach
Led a 3-week website sprint, increasing engagement and organic reach by 20%.
Coordinated 3–4 designers and the dev team as the primary bridge between the founder and execution, shaping creative direction for the sprint.
Standardized brand storytelling across 7+ multi-platform business assets, lifting brand recall by 16%.
Dec 2024 – Apr 202505
Digital Assets & Branding Intern
Shyam M Estate Agents (Internship)
40%increase in website traffic
Launched company website, boosting traffic by 40% through SEO and targeted campaigns.
Built landing pages aligned to user search intent, improving click-through and conversion potential.
Ran a 5-day Facebook ad campaign with trend-driven video content, boosting brand reach by 40% and lead generation by 20%.
Somewhere between acquisition funnels and AI architecture, product became the obvious place to stay.
CAPABILITIES / MY RANGEI don’t stop where
I don’t stop where
one function ends.
From noticing the signal to deciding the bet, shaping the system, making it tangible and learning what actually happened.
- 01
Notice
the signal- Market research
- User research
- Growth signals
- Competitive context
- 02
Decide
the bet- Product strategy
- Prioritisation
- Roadmapping
- 0→1 product
- 03
Design
the system- GenAI / LLMs
- AI agents
- Agentic workflows
- Automation architecture
- Guardrails + HITL
- 04
Make it
tangible- Rapid prototyping
- Product design
- PRDs / BRDs
- REST APIs + data flows
- 05
Learn
what happened- Product analytics
- Experimentation
- AI evaluation
- Causality
04 / THE SHORT VERSIONFollowing the
Following the
better question.
Why people
choose?
I started in marketing because I liked figuring out why people choose.
What they
choose?
I moved into design because I wanted to shape what they were choosing.
What should
exist?
Eventually I became more interested in the questions sitting one layer above both: What should we build? Why this? Why now? What would make it work? And when AI enters the picture, what should it actually be trusted to do?
That is the work
I want to keep doing.
Today I'm most comfortable somewhere between an unclear product problem and the point where it becomes specific enough to build, test and challenge. I care about the product logic, the user experience and the evidence holding the decision together.
OFF THE CLOCK
Outside the roadmap.
Dance
Drawing + Painting
Gym
Travel
Teaching
I'm also very good at turning “maybe we should go somewhere” into a suspiciously detailed itinerary.
LET'S MAKE SOMETHING MATTER
Ready to drive business value by solving real user problems?