Rafael L.

🚨 We’re Looking for a Full-Time Automation / GTM Engineer (Collaborative Role) 🚨 We’re an early-stage company at RLG Property Solutions, building AI-driven automation systems to support the mid-term, insurance, and corporate housing space. Our goal is to intelligently connect furnished property inventory with verified housing demand, especially for insurance placements and temporary relocation by automating inbound request handling, intelligent matching, and clean GTM workflows. We’re looking to collaborate full-time with someone who truly understands modern automation, not just tools, but scalable, reliable system design. This is a long-term opportunity to be part of the core team. As the systems you help build drive more placements, demand, and revenue, compensation will scale accordingly. We believe in aligning incentives with impact and growing together as the company grows. What We’re Building • Inbound-first automation using a self-hosted n8n setup (Hostinger) • AI agents that: Monitor inbound emails for new requests Extract structured intent and requirements Match against a live inventory database Surface results for human review before any response • Clean, scalable handoffs from inbound → matching → review → response • Validation-first systems (correctness > speed > scale) GTM / Outreach (Secondary, Conservative) Low-volume outbound email (tools like Instantly / Plusvibe)

What We’re Looking For Strong experience with automation tools (n8n, Make, Zapier, or similar) Comfort with AI-assisted workflows (prompting, parsing, matching logic) Familiarity with Clay or similar enrichment / GTM tools Understands inbox architecture, warm-up, and deliverability basics

What Matters Most Clear thinking Practical execution

If this sounds like you and you want to collaborate long-term on meaningful automation, reach out or comment below. Let’s build this the right way.

Part-Time / Short-Term → Potential Ongoing Partnership (Clay / GTM) Hi everyone, I’m Rafael, founder of RLG Property Solutions. We’re a startup working with insurance, relocation, and temporary housing companies to connect verified housing demand with furnished inventory. We’re now looking for one strong partner we can work with to help us scale lead generation in a smart, cost-efficient way. What we’re looking for: • Someone experienced with Clay who understands ICP-driven workflows • Strong focus on credit efficiency (validation first, enrichment later) • Ability to help us: Validate and clean existing company/contact data Identify high-quality decision-adjacent leads Build repeatable, scalable workflows as volume grows What matters most to us:

Engagement:

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Thanks!

Hey everyone !!! is anyone available right now (or today) to hop on a quick screen share and walk me through a lean Clay v1 setup? I’m building a focused workflow for insurance / displacement housing outreach (Phase 1 only) and want to move fast. I’d love help live-reviewing: • Table structure + title logic (adjusters, housing/vendor coordinators — no sales/executives) • Credit-efficient enrichment • Clean exports into Instantly • Common pitfalls to avoid in this niche I already have pieces built, I just need someone experienced to sanity-check and guide me live so I don’t over-engineer it.

Looking to sanity-check and co-create a lean Clay v1 workflow for a real production use case. Context (Phase 1 only): • Temporary housing for insurance / displacement housing • Clay used strictly for U.S. company + contact discovery & enrichment • Export → Instantly (sending handled outside Clay) What I’m trying to build in Clay: • Identify insurance / relocation orgs (e.g. CRS, ALE, Sedgwick, Alacrity) • Reach the right layer (adjusters, vendor managers, housing / displacement coordinators — not execs, not sales) • Keep it credit-efficient (own OpenAI key, minimal enrichments, clean v1 table) Where I’d love collaboration: • How you’d structure the core table (must-have vs nice-to-have columns) • Title logic that actually works in insurance / claims orgs • Common mistakes to avoid when scaling lists in this niche If you’ve built Clay workflows for insurance, relocation, or complex B2B orgs, I’d really value your perspective.

Hi everyone — I’m Rafael, founder of RLG Property Solutions. I’m building B2B outreach workflows for insurance & relocation housing, using Clay as the core targeting + enrichment layer (Clay → Instantly → CRM). I’m early in setup and want to make sure I’m structuring tables, API keys, and enrichment in the most efficient way from day one. Excited to learn and collaborate.