Outbound Lead Gen Operator (Clay + Smartlead + Python) for an Ongoing Hiring-Signal Campaign

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Outbound Lead Gen Operator (Clay + Smartlead + Python) for an Ongoing Hiring-Signal Campaign

**Description**

We're Flowstate, an Australian AI consultancy. We run cold email for specialist recruitment agencies. We need an experienced operator to take over a live, fully documented campaign and run it every week.

**How the campaign works**

When a company posts a relevant job on LinkedIn, the system:

- finds the ad
- checks the company is the right fit and size
- writes a personalised line from the actual job description
- finds the leader who owns that role
- loads them into a Smartlead campaign offering to fill the role

It has 14,000+ leads in market, a sub-1.2% bounce rate, and turns 50,000 job ads into around 340 qualified leads per batch for under $2 in AI costs.

You won't be building from scratch. You'll inherit a working Python pipeline, a Clay build spec, a full SOP, a troubleshooting guide covering 13 known failure modes, and a worked example with real numbers to compare your runs against.

**What you'll do**

- Run a batch every one to two weeks, about four hours each:
- export the job ads
- filter and remove companies and roles already contacted
- enrich and qualify companies
- generate the personalised lines
- find leaders and verify their emails
- push to Smartlead
- QA every batch before it sends: read the personalised lines, remove staffing firms and wrong-fit companies, and check the merge fields render correctly
- Keep the suppression lists for jobs and people accurate after every push
- Manage around 250 inboxes across 6 domains: monitor health, fix or replace broken inboxes, and manage warm-up
- Categorise replies in Smartlead and hand interested leads to the client quickly
- Send a short monthly report: leads added, replies, interested replies, meetings, and what you're changing next
- Suggest improvements, such as tightening the job feed and adding another email source

**Must have (prior experience is mandatory)**

- 5+ years running B2B cold email campaigns at volume, with results you can show
- Hands-on Smartlead experience, including the API, sequences, inbox management and deliverability
- Clay experience: tables, enrichment waterfalls, AI columns and integrations
- Confidence running Python scripts from the command line, editing a YAML config and reading a stack trace
- Experience with LeadMagic, Findymail, Apollo or similar enrichment tools
- Experience using LLM APIs (OpenRouter, OpenAI or similar) for qualification or personalisation
- Strong attention to detail. One careless sequence save can resend thousands of emails, and you'll follow documented rules that exist for that reason.

**Nice to have**

- Signal-based outbound experience: hiring, funding or tech-stack triggers
- Recruitment or staffing industry outbound
- Experience working across AU and North American time zones
- Claude Code or similar AI coding tools

**Engagement**

- Ongoing monthly engagement, about 5 to 10 hours a month once you're up to speed
- Starts with a paid trial batch run alongside us, then moves to a monthly retainer
- Async-first, with a short fortnightly check-in and a Slack channel for day-to-day work

**To apply**

Proposals that don't answer all four questions won't be considered.

1. Describe a cold email system you've run using Clay and Smartlead. What was the trigger or signal, what volume did you send, and what were the reply and interested-reply rates?
2. What's the biggest deliverability problem you've fixed, and how did you fix it?
3. Have you run Python scripts as part of an outbound workflow? Briefly describe one.
4. Your monthly retainer rate for 5 to 10 hours, and your availability to start.