Who We Are & Project Scope
We're a US-based B2B data management consulting firm (MDM, data governance, analytics, AI readiness) looking for an experienced full-stack developer to build a lightweight internal outbound prospecting tool from scratch. The system will run 75–100 highly personalized outbound emails per week (15–20 per business day), operated daily by an offshore operator, with a human approval step before each send. Quality over volume is key — replies are the success metric. A full technical spec is ready to share with serious candidates after an initial message.
What You'll Build
A small web app + background worker deployed on a VPS that lets an offshore operator run the daily workflow end-to-end. Core components include:
- Lead management with deduplication and email verification
- AI-powered company research engine generating sourced briefs (Claude or OpenAI)
- Human-approval review queue before every send — no email goes out unreviewed
- Direct Gmail API sending across 1–2 mailboxes, paced randomly across business hours, hard cap of 15/day per mailbox
- Reply capture, LLM classification, and automated suppression/bounce handling
- Follow-up sequencing of 3–5 touches over 2–4 weeks, with branching logic (OOO, referrals, positive replies)
- Monthly AI optimization report for qualitative learning
Tech
-Python/FastAPI or Node/Next.js + Postgres (open to your recommendation).
-Integrations: Gmail API (OAuth 2.0), Anthropic Claude or OpenAI, web search API, pay-as-you-go email verification.
-The total recurring infrastructure cost target is under $100/month.
What We're Looking For
- Production web app experience with background job processing
- Comfortable with LLM APIs and real-world prompt design
- Strong on compliance details: idempotent queues, suppression logic, CAN-SPAM
- Clear communicator who flags tradeoffs early
Project Terms
- Work-for-hire; all IP transfers to us
- Fixed-price bids preferred, structured around 4 defined milestones
- Target delivery: 4–6 weeks
- Direct access to decision-makers throughout
To apply
Please describe a similar system you've built, your preferred stack and why, and any questions you have about the project. Candidates who ask specific technical questions are given priority.