AI-Native Product Manager

wedded.wonderland

Manila City, Metro Manila
Permanent
Full-time

19 days ago

ABOUT WEDDED WONDERLANDWedded Wonderland is the global luxury destination wedding and celebrations platform — connecting couples, suppliers, and venues across more than 50 countries. We are building toward a $1 billion vertical SaaS and marketplace — a global celebration commerce platform that combines AI-powered concierge matching, supplier payments infrastructure, a consumer-facing planning suite, and a B2B SaaS product for wedding professionals. We are pre-scale, moving fast, and every product decision we make now compounds into our enterprise value.THE ROLEThis is not a traditional product manager role. We are not looking for someone who writes PRDs, runs two-week sprints, and manages a team of developers from a distance. We are looking for an AI-native product builder — someone who uses Claude Code, Cursor, Supabase, and Vercel to design, build, and deploy working product themselves, in days. The tools do the coding, the database scaffolding, and the deployment. You provide the product judgment, the architecture decisions, the user understanding, and the commercial instinct. You work alongside our existing PM to dramatically increase our production velocity. You have been forged in startups, not corporations. You think in outcomes, not processes. You have strong opinions about what to build and you can validate them by shipping something people can use within a week.WHAT YOU WILL DO

Own and ship four core product builds in the first 90 days — each within a 2-week deployment cycle using AI coding tools: (1) AI supplier matching engine, (2) supplier payment SaaS platform, (3) consumer payment platform, (4) payments infrastructure on Stripe or Airwallex

Use Claude Code and Cursor as your primary development environment — you write product specs as prompts and iterate on working code, not wireframes handed to developers

Design and deploy database schemas in Supabase — tables, relationships, RLS policies, and edge functions that support the product logic

Deploy all product builds via Vercel — CI/CD pipeline, environment management, and production monitoring

Build the supplier payment SaaS layer on top of Stripe or Airwallex — subscription billing, commission tracking, payout management, and supplier-facing dashboard

Build the consumer payment platform — secure couple-to-supplier payment flows with escrow-style protection, booking confirmations, and refund logic

Integrate Zoho CRM as the operational backbone — connect product actions (bookings, payments, matches) to CRM records via API

Work directly with the AI Engineer on the matching engine — own the product layer, data schema, and concierge dashboard while they own the AI model

Define and track the metrics that matter for each product — GMV, take rate, conversion rate, payment success rate, matching accuracy

Evaluate Stripe vs Airwallex for WW's current stage and make a documented recommendation within the first two weeks — with a clear upgrade path to enterprise-grade infrastructure at scale

Conduct rapid user feedback loops — ship something, put it in front of the concierge team or a supplier within 48 hours, iterate within the same week

Mentor and align with the existing PM — bring structure and velocity to the roadmap without creating bureaucracy

RequirementsWHAT WE ARE LOOKING FOR

3–6 years of product experience — at least 2 of those years must be at an early-stage startup (pre-Series B) where you shipped product with limited resources

Hands-on AI coding tool proficiency — you use Claude Code, Cursor, or equivalent AI-assisted development tools daily, not occasionally

Demonstrable experience shipping a working product or feature end to end using AI coding tools — show us something you built yourself

Working knowledge of Supabase — database design, auth, storage, edge functions, and RLS policies

Working knowledge of Vercel — deployment, environment variables, serverless functions, and CI/CD

Understanding of payments infrastructure — you have worked with Stripe, Airwallex, or a comparable payments API and can build on top of them

Startup-native mindset — you have shipped in resource-constrained environments and your instinct is to build the smallest thing that proves the hypothesis, not the most complete thing that satisfies a spec

Strong written English — you can write a product brief, an API integration spec, and a user-facing UI copy block with equal clarity

You are not from a large established corporate with legacy systems and process-heavy thinking — this is a firm requirement

BenefitsBONUS IF YOU HAVE

Experience with fintech or marketplace payments infrastructure — Stripe Connect, split payments, or escrow-style consumer protection flows

Previous experience evaluating payments providers for a marketplace or SaaS product

Familiarity with the wedding, luxury travel, or celebration industry

Experience building supplier-facing SaaS dashboards — think HoneyBook, ServiceTitan, or Vagaro style product

Understanding of vertical SaaS metrics — ARR, NRR, take rate, GMV — and how product decisions affect them

Previous experience in a company that went through a seed or Series A fundraise — understanding of what metrics investors scrutinise

THE KIND OF PERSON WHO SUCCEEDS HEREYou are allergic to process for the sake of process. You have worked at a startup where 'let us just build it and see' was the right answer and you shipped something real in a week that would have taken six months at a corporate. You are genuinely excited by AI coding tools — not as a curiosity but as the thing that makes you 10x more productive than any PM you have ever worked alongside. You have strong opinions about architecture, about user experience, and about what problems are actually worth solving. You hold those opinions with conviction and change them quickly when the evidence says you are wrong. You do not need a designer to build a usable interface and you do not need a developer to ship a working API integration. You are the kind of person who opens Claude Code on a Sunday afternoon because you had an idea and you wanted to see if it worked.

wedded.wonderland

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