MEET YOUR TEAM 🧑🤝🧑
Hey - I'm Rishabh, co-founder & COO at Flent. I lead tech, platform, and cash flow here.
If you've rented in an Indian metro, you know the drill. You open 40 tabs, run 12 WhatsApp threads, take 3 broker calls, and still move in with doubt. You never know what’s real - the photos, the pricing, the deposit math, the landlord's temperament.
What's broken isn't discovery. It's confidence. At Flent, we're productising every layer of the renting decision - until it feels as predictable as any modern consumer experience.
We're also not building software the old way. We're rewiring our stack around AI - not as a feature, but as infrastructure. Every engineer here will ship at a rate that wasn't possible two
years ago. I'm looking for people who want to figure that out with me.
ABOUT THE ROLE
You'll build the consumer product end-to-end. From "I'm exploring" to "I'm convinced" to "I've moved in at Flent" - and everything that keeps the experience tight after that.
I would not think about this as a feature-ticket role. You'll co-own what we build, why we build it, and whether it's working. If you've only ever shipped what a PM specced for you, this will feel different.
WHAT YOU’LL BROADLY DO:
- Search, matching, and home discovery The flows where a tenant goes from vague intent to a confident shortlist. Structured filters that actually matter, multi-signal ranking (price, commute, trust score, availability), preference matching from stated and inferred signals, and "why this home" explanations that make every recommendation legible.
- Pricing, policies, and move-in flows The surfaces where a tenant decides to commit. Transparent rent and deposit breakdowns with no hidden math, policy pages in plain language, step-by-step move-in checklists with real-time status, digital receipts for every payment and promise. A tenant should never need to ask "what happens next?".
- AI-powered product workflows AI features that tenants and internal teams use daily - conversational property Q&A backed by RAG, automated document verification, smart notification timing, intent-aware nudges. Each ships with output guardrails, confidence-gated fallbacks, eval harnesses, and human override paths. Not demos.
- Post-move-in resident systems The product after the lease is signed - rent payments, maintenance tickets, lease renewals, upgrade paths, proactive alerts. Move-in isn't the finish line; it's where retention starts.
- Release infrastructure Feature flags, staged rollouts by cohort, real-time error monitoring, instant rollbacks. We launch daily. Speed without observability is recklessness.
WHAT YOUR DAY-TO-DAY WILL LOOK LIKE:
- Build polished UI in React/Next.js - tight state management, performance budgets, optimistic updates, accessibility defaults, micro-interactions that feel intentional.
- Own frontend architecture: design system primitives, composable flow templates, analytics hooks, skeleton states, error boundaries that degrade gracefully.
- Build backend endpoints (Node/TS or Python) - clean Postgres models, well-indexed queries, pragmatic caching, API contracts that the frontend can trust.
- Wire event instrumentation end-to-end: intent signals, funnel steps, search interactions, conversion events, retention markers - feeding dashboards the team actually uses.
- Build and productionise AI flows: retrieval pipelines, structured tool calls, output validation, eval harnesses, confidence thresholds, fallback chains.
- Ship with rigour: tests on critical paths, feature flags for every launch, alerting on regressions, rollbacks that take minutes, not meetings.
- Use Claude Code daily - to learn unfamiliar codebases, scaffold safely, generate tests, and close knowledge gaps without waiting for someone to explain.
WE’RE LOOKING FOR SOMEONE WHO:
- 3–5 years of proven experience in shipping consumer product in production, architecture decisions and UX judgment calls on things that real users touched.
- Strong React/Next.js fundamentals. You understand rendering behaviour, can profile a janky scroll, know when the problem is state structure and not memoisation, and care about layout shift.
- Solid backend competence. API design, relational data modelling, auth flows, and enough infra instinct to know when your query is the bottleneck.
- Product sense that goes beyond the brief. You can take an ambiguous problem, cut through options, and ship a flow that feels simple—because you did the hard thinking, not the user.
- You use AI to work, not to experiment. Claude Code or equivalent is part of your daily workflow—for understanding unfamiliar code, writing tests, and refactoring. You treat it as leverage, not novelty.
- You learn faster than the problem shifts. New stack, new domain, new constraint—you close the gap in days, not quarters. This matters more to us than what you already know.
Educational background doesn’t matter to us. What does is your attitude, your ability to take ownership, and your willingness to do what it takes to make landlords feel taken care of.
Apply now if you feel you are ready for your next challenge!