The Short Version We're building the AI-native operating system for B2B partnerships. The founder has deep domain expertise in the space and has already built ~70% of the product using Replit and AI tools. We need an engineer to take it from working prototype to production-grade SaaS. The market is validated, the frameworks are proven, and existing customers are asking for this product. We need someone who can turn domain expertise into scalable software. What You'd Be Walking Into A functional prototype built in Replit (Next.js, Supabase, Claude API) that covers core workflows across partner strategy, recruitment, enablement, management, marketing, and operations A founder who deeply understands the problem, the buyer, and the market — and will be building alongside you, not handing you a spec and disappearing Real customers and revenue from the consulting side that feed directly into product development A clear product vision with a 900+ slide framework library, validated methodologies, and an opinionated product roadmap Your job is to take what exists and make it production-ready: refactor where needed, architect for multi-tenancy and scale, harden security, build integrations, and ship features that turn consulting clients into software customers. The Tech Stack Frontend: React / Next.js (App Router), TypeScript, Tailwind CSS, shadcn/ui, Vercel Backend: Supabase (Postgres, auth, row-level security, real-time, storage), pgvector for embeddings, Inngest or Trigger.dev for background jobs AI: Anthropic Claude API, OpenAI embeddings, RAG pipelines Integrations: Stripe (billing), WorkOS (enterprise SSO), Resend (email), Salesforce/HubSpot sync, OAuth 2.0, webhooks Monitoring: Sentry, PostHog, GitHub Actions What You'll Own Production architecture — Take a Replit prototype and refactor it into a deployable, maintainable SaaS product without rewriting from scratch Multi-tenant infrastructure — Row-level security, org-level data isolation, role-based permissions that work for both the company and their external partners AI features in production — Not chatbot wrappers. Real AI workflows: partner scoring, predictive churn, automated QBR generation, natural language querying of ecosystem data, intelligent recommendations CRM-grade data model — Partners, contacts, accounts, deals, activities, pipelines, attribution — relational data done right Third-party integrations — CRM syncs (Salesforce, HubSpot), Slack notifications, webhook infrastructure, OAuth flows Billing and packaging — Stripe integration, subscription management, feature gating by plan tier The full stack — Frontend, backend, database, AI, DevOps. There's no one else to hand things off to What We're Looking For Must have: 4+ years shipping production web applications full-stack Strong experience with Next.js + Supabase (or equivalent: React + Postgres-backed stack) Has built real AI/LLM features in production using APIs like Claude or GPT — not just prototypes or demos Comfortable inheriting and improving an existing codebase rather than demanding a rewrite Deep understanding of multi-tenant SaaS patterns (RLS, permissions, org isolation) Has built and maintained integrations with third-party APIs (CRMs, auth providers, payment systems) Experience at early-stage startups or building 0→1 products — thrives with ambiguity and speed Actively uses AI coding tools (Cursor, Claude Code, Copilot, Replit) as a daily productivity multiplier Strong preference: Has worked on a CRM, PRM, or workflow-heavy SaaS product Experience with relational data modeling for business applications Has implemented Stripe billing and subscription flows Familiar with enterprise auth patterns (SSO/SCIM) Can move between "get it working" and "get it right" depending on what the moment requires Nice to have: Familiarity with partnerships, channel sales, or ecosystem GTM Open-source contributions Experience with Vercel deployment and edge functions Has worked with vector databases or RAG architectures Who This Isn't For Engineers who only do frontend or only do backend Anyone whose AI experience is limited to "I've played with the ChatGPT API" People who want to spend 3 months debating architecture before shipping anything Engineers who need a product manager to write tickets before they can move Anyone uncomfortable working directly with a non-technical founder who builds with AI tools daily Why This Role You're the first engineer. The founder built the playbook that's becoming the product. The domain expertise is here — what's missing is someone who can turn it into production software. The AI layer is substantive. This isn't a chat widget bolted onto a dashboard. The AI powers partner scoring, strategy generation, churn prediction, automated workflows, and natural language access to ecosystem data. There's a gap in the market. Legacy PRMs are clunky and expensive. Account mapping tools handle one slice but not partner operations. Nobody has built the full-stack, AI-native partnership platform yet. You'd be building with the founder, not for them. The CEO writes code daily, builds prototypes, and understands the technical tradeoffs.