Ambareen Sultana / product

Lead Product Manager · Michigan, USA

I find the problem, then I ship the product.

Fifteen years in payments and platform product management at Amway, Fiserv and JPMorgan Chase. Now a Lead Product Manager at Product Manager Accelerator, building AI products end to end: customer research, AI strategy, and working software. Four of them are below.

Experience15+ years
FocusAI products · Payments
CertifiedCSPO · CPM · AWS SA
Selected work04 products

Homie

An AI interior designer that styles your real room, shops every retailer, and hands you a ready cart.

In discovery2026

Product Assist

An AI assistant that drafts the artifacts product managers spend their week writing.

Live2023

RecipeLoop

An AI meal planner on the App Store: save any recipe from a link or a photo, get a week of meals and the grocery list.

Live · App Store2026

EZ Health

A health wallet that lets patients see and share their records across every provider.

MVP conceptCase study
Consumer AI · Home & retail

Homie

Show it a room. It styles it, shops it, and hands you the cart.

In discovery · demo in December
Role
Product lead: research, AI strategy, prototype build
Year
2026
For
People moving into a new home on a budget
Research
30 interviews · 36 pain-point themes
Built with
GeminiShopify RemixTheme extensionsPrismaCanvas

How we built it, in two minutes

From the first assumption to the timeline, step by step: the interviews, the synthesis, the personas, the journey, the vote, the user flow, the prototype, where the AI does the work, and the architecture. Pause it, drag the timeline, or jump to a step.

Clickable prototypewalk through Homie yourself, from her plan to checkout

The problem

Furnishing a new place takes months: prices checked tab by tab across IKEA, Wayfair, Amazon and Facebook Marketplace, guesses about whether a piece will fit, and no designer to ask. Existing tools either stay inside one retailer's catalog, rely on slow human designers, or generate a pretty room with nothing you can actually buy.

What the research said

Our team heard from 30 people furnishing a home, in 18 live or voice-note interviews and 12 form responses, and coded every answer into 36 pain-point themes.

26/30compared prices across stores by hand
26/30agonized over the big pieces
23/30took months to feel the place was “done”
80.3%of home and furniture carts are abandoned before checkout

Homie voice-of-customer research, 30 people, Oct 2026 · cart abandonment: Dynamic Yield via Oberlo, Oct 2024

Interview trackerevery answer from the 30 people, question by question

The pitch deck

From 30 interviews to a clickable prototype, in 29 slides. Click the right or left side of a slide, use the arrow keys, or swipe.

Slide 1 of 29: Homie: your personal interior design expert
01 / 29 Homie: your personal interior design expert

From pain points to answers

Two houses. Left: every pain point the 30 people raised, sized by how many raised it, led by comparing prices across stores, agonizing over big pieces and taking months to feel done. Right: what Homie does about them, sized by how many of the 30 each one helps, led by a shortlist that explains each pick, comparing prices across all stores and previewing items in a photo of your room.
Every pain point the 30 people raised, and what Homie does about it · phrase size = how many of the 30
“Lock the exact product, build a retailer shortlist.”Interviewee V, describing what would have helped

Who we build for first

We sorted the 30 people into the team's six persona types and design for three of them. We start with Budget New Movers like Maya, 13 of the 30 and the largest group: she starts from an empty room, can't paint or drill, and price leads every decision. Existing Furniture Optimizers come next and High-Investment Planners later, as a premium tier.

What I built

  • Homie appAn AI interior designer for people moving into a new home, built as a clickable web prototype: 22 screens across the whole journey. You tell it about the room and send a photo; it restyles your own room with real, buyable pieces, gives one pick per piece with the reason and the price across stores, checks each piece against your measurements, and ends in one cart. Every screen traces back to what the 30 people asked for.
  • AI hypothesisIf a mover sees her own room restyled with real, buyable pieces and a reason for each pick, she can approve and buy in one session. We earn retailer commission on each order.
  • PersonasThree personas sized from the 30 interviews, and the case for starting with Maya, a budget new mover.
  • Pain-point mapAll 36 pain points the 30 people raised, placed on the six stages of furnishing a home, each traced back to the answers it came from.
  • Lifecycle planA concierge proof of concept first, then an automated one, a pilot with real movers, and an MVP gated on movers actually buying.
  • Room Try-OnThe building block behind Homie's fit check, built as a Shopify app for decor stores. Shoppers upload a room photo and drag, resize and rotate the product onto their wall. Product photos are cut out in the browser, so nothing leaves the device. An optional “Render with AI” button sends the mock-up to Gemini through a signed app proxy with a monthly cost cap.

Also produced

PersonasInterview synthesisPain-point word mapCompetitive mapData strategyPitch deckAnimated vision deckRetailer data-source review
B2B SaaS · Product management

Product Assist

An AI assistant for product managers.

Live
Role
Co-founder
Year
2023
For
Product managers and business operators
Built with
OpenAI APIRAG
Visit
product-assist.ai ↗

The problem

A large share of a product manager's week goes to writing the same kinds of documents: vision statements, PRDs, personas, journey maps, interview guides. Each starts from a blank page even though the structure is well known.

What I built

A tool library that drafts each artifact from the product's own context, using retrieval-augmented generation so outputs stay grounded in what the team has already written. Drafts open in a built-in editor for the PM to refine.

  • Vision & strategyProduct vision statements and PRDs
  • DiscoveryPersonas, customer journey maps, customer interview guides
  • ExperimentsLean startup hypotheses and experiment design
  • PrioritizationRICE scoring and use-case generation
  • Go to marketProduct marketing copy and LinkedIn posts

Business model

Three monthly plans from $10 to $50, each with a monthly word allowance and access to every tool, plus a free trial with no card required.

Consumer AI · iPhone app

RecipeLoop

An AI meal planner that turns the recipes you save into a week of meals and a grocery list.

Live on the App Store
Role
Founder: product, design and build
Launched
2026
For
Home cooks with hundreds of saved recipes and the same five dinners on repeat
Built with
React Native · ExpoSupabaseNode on RailwayLLM recipe extraction
Visit
recipeloop.app ↗   App Store ↗

The problem

People don’t have a recipe problem; they have a saved-but-never-cooked problem. Hundreds of recipes sit in a saved folder while the same few dinners repeat, because turning a video or a page into a plan and a shopping list is work nobody has time for on a weeknight.

What I built

  • Save from anywherePaste a link to a cooking video, a recipe site or a blog, or photograph a cookbook page or a handwritten card. AI reads it and captures the ingredients, steps, timing and nutrition.
  • A week that plans itselfIt builds the week from your own saved recipes, works around busy nights, and says why each meal is there. One tap swaps a meal.
  • The list writes itselfEvery ingredient from every planned meal, merged and sorted by aisle, shared with the household.
  • It learnsRatings shape next week’s plan; allergies are hard rules, never suggested.
  • No loggingOptional calorie and protein targets, tallied from the plan. Step-by-step cook mode with big type.

Getting through App Store review

The first submission came back with three issues: accounts could be created but not deleted, the screenshots showed a drawn status bar and other platforms’ names, and the reviewer asked where subscriptions are bought. One new build fixed all three: in-app account deletion that removes the user’s data first and the account last, so a half-failure never strands anyone; clean screenshots and generic source names; and a plain answer that the app is free, with no purchases at all.

3review issues, fixed in one new build
Freeno subscriptions, no in-app purchases; an account only to sync
Health tech · Canada

EZ Health

A health wallet: every provider's records in one place, shared only when the patient chooses.

MVP concept
Role
Product manager, with a product team
Market
Alberta first, then other provinces
For
Patients who see several providers, and their families
Original
Full case study ↗

The problem

Patients struggle to get their records from different providers, to remember their own medical history, and to share it, including family and dental records. In Canada, 44% of people see more than three providers.

What the research said

A survey of 29 people across provinces, plus 5 interviews with patients and providers.

79%had never seen their own health records
93%of those would want to
85%track their records by memory or on paper
100%had never used a product to track them

Survey n=29 · 5 interviews

“It will be great if we can forward our x-rays directly to the physician.”Interviewee

The solution

Patients set the wallet up around their own health needs, see their history by provider, and choose exactly what to share. Each provider gets a QR code or access code to open the shared record. Integration with provincial and private health systems runs through a privacy-compliant API, and patients pay a small monthly fee.

Also produced

Personas12 user stories with acceptance criteriaJourney mapRisk registerSWOTPESTELBusiness model canvasClickable prototype

About

I've been a Lead Product Manager at Product Manager Accelerator since September 2026, leading AI products from customer research to a working MVP.

Before that I was a Senior Product Manager at Amway, where I owned Express Payments, the cloud platform that pays business owners across India, the Philippines and Central Asia. I took the payout cycle from a month to under a week and moved the platform from a monolith to event-driven AWS microservices, making payments ten times faster.

I also led Amway's AI enablement rollout for product and engineering, using Claude on AWS Bedrock, the Kiro IDE and the BMAD method. Time spent on requirements analysis and ticket writing fell by about half.

Before Amway I spent eight years at Fiserv delivering banking products to Global 500 customers under audit and compliance requirements, after engineering roles at JPMorgan Chase and Comerica.

Now
Lead Product Manager, Product Manager Accelerator (since September 2026)
Before
Amway (Senior Product Manager, until September 2026) · Fiserv · JPMorgan Chase · Comerica
Domains
Payments, banking platforms, AI products
Certified
CSPO · CPM · AWS Solutions Architect
Based
Michigan, USA

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