AI Engineer for Multi-Tenant Sales Prospecting & Outreach Bot (SaaS)
Budget: €5,000 – €10,000 EUR
I’m looking for an experienced AI developer to build a multi-tenant SaaS bot that I can sell to unlimited customer tenants. The bot should discover prospects based on a given Ideal Customer Profile (ICP) and run personalized outreach via email and social channels.
What the bot should do
- Prospect Discovery: Given an ICP, automatically find potential customers on LinkedIn (via official APIs/compliant providers), company websites, and the public web.
- Data Prep: De-duplicate, enrich basic firmographics, and validate contact details with compliant tools.
- Outreach: Run email campaigns and social messaging (e.g., LinkedIn, X) with per-prospect personalization (LLM-powered).
- Compliance: Respect LinkedIn/API terms, GDPR/CAN-SPAM/PECR, consent, and unsubscribe/suppression lists.
- SaaS: True multi-tenant architecture with strong data isolation, admin per tenant, roles/permissions, and billing/metering (e.g., Stripe).
- Analytics (nice-to-have): Deliverability, open/reply rates, and simple attribution.
- A/B Testing (nice-to-have): Subject/message variants with automatic winner selection.
Ideal skills:
- LLMs, personalization, and guardrails
- Email/social APIs and deliverability best practices
- Multi-tenant SaaS engineering (auth, RBAC, billing, metering, webhooks)
- Postgres/queues/containers/CI-CD/observability
Please include:
- Examples of similar AI/SaaS/automation projects
- A short architecture sketch for ICP-based prospecting + outreach
This is the first bot; more bots will be added on the same SaaS platform.
What the bot should do
- Prospect Discovery: Given an ICP, automatically find potential customers on LinkedIn (via official APIs/compliant providers), company websites, and the public web.
- Data Prep: De-duplicate, enrich basic firmographics, and validate contact details with compliant tools.
- Outreach: Run email campaigns and social messaging (e.g., LinkedIn, X) with per-prospect personalization (LLM-powered).
- Compliance: Respect LinkedIn/API terms, GDPR/CAN-SPAM/PECR, consent, and unsubscribe/suppression lists.
- SaaS: True multi-tenant architecture with strong data isolation, admin per tenant, roles/permissions, and billing/metering (e.g., Stripe).
- Analytics (nice-to-have): Deliverability, open/reply rates, and simple attribution.
- A/B Testing (nice-to-have): Subject/message variants with automatic winner selection.
Ideal skills:
- LLMs, personalization, and guardrails
- Email/social APIs and deliverability best practices
- Multi-tenant SaaS engineering (auth, RBAC, billing, metering, webhooks)
- Postgres/queues/containers/CI-CD/observability
Please include:
- Examples of similar AI/SaaS/automation projects
- A short architecture sketch for ICP-based prospecting + outreach
This is the first bot; more bots will be added on the same SaaS platform.