Marketing Automations Operator

DataDrone builds 0-1 SaaS products and the team that ships them. No bosses, no managers — the playbook manages, the copilot tracks. Every role owns a small, defined space with extreme accountability. Between the first touchpoint and the sales conversation, automation does the heavy lifting — nurture sequences, lead scoring, retargeting, and handoff — all running while the team focuses on what requires a human. What You'll Do You'll own the automated marketing stack. Email nurture sequences that deliver the right content at the right time. Lead scoring that identifies when a prospect is ready for Sales. Marketing-to-sales handoff that fires automatically with full context. Retargeting that re-engages prospects who showed interest but didn't convert. You configure it, monitor it, optimize it, and document it. Daily Rhythm (How You Operate) Daily: monitor automation health — sequence errors, delivery issues, stuck leads. Per lead: verify the marketing-to-sales handoff fires with full engagement history, calibrated to intent. Weekly: watch email deliverability — sender reputation, bounce rates, spam complaints. Quarterly: validate the lead scoring model against actual conversions and recalibrate when it drifts. Always: document every sequence, rule, and trigger — the SOP is the deliverable. Key Responsibilities Design and manage email nurture sequences — triggers, content flow, timing, exit conditions Own the lead scoring model — dimensions, weights, thresholds, quarterly validation Automate the marketing-to-sales handoff — qualified leads reach Sales with full engagement history Configure retargeting audiences from behavioral data — intent-based, not spray-and-pray Monitor automation health daily — sequence errors, delivery issues, stuck leads Maintain marketing automation SOPs — every sequence, every rule, every trigger documented What We're Looking For You've built and managed marketing automation sequences — not just email blasts, behavioral-triggered nurture flows. You understand lead scoring: what signals predict buying intent, how to weight them, and how to validate the model against actual conversions. You can configure marketing-to-sales handoff rules and verify they work end-to-end. You monitor email deliverability: sender reputation, bounce rates, spam complaints. You know why these matter. You document your automations. Every sequence, every trigger, every scoring rule — written down, not memorized. You can work with CRM data: lead statuses, engagement history, conversion tracking. Bonus Points For Marketing automation platform experience (HubSpot, Marketo, ActiveCampaign, or similar) Experience with retargeting audience configuration (Meta, paid search) Experience with lead scoring model design and validation Experience with n8n or Zapier for cross-system automation Experience with email deliverability optimization The Mindset We Hire For Automation is a system, not a set-and-forget. Active monitoring. Regular validation. Content refresh. Scoring recalibration. The automation runs autonomously, but the operator never does. Lead scoring must predict, not just count. A score that doesn't correlate with conversion is a random number. Validate against reality. Adjust when it drifts. The handoff is the moment of truth. A qualified lead that sits in the marketing funnel because the handoff didn't fire is a lead that went cold while the system watched. Deliverability is earned. Inbox placement depends on reputation, list hygiene, and content quality. Protect it. Document everything. If the automation is in your head, it's a single point of failure. SOPs are the deliverable, not just the automation. Match intensity to intent. One blog visit doesn't warrant an 8-email drip. A pricing page visit + demo page visit + return visit warrants immediate handoff. Calibrate. Success in This Role 30 Days — Every sequence mapped. Every automation audited. Lead scoring model understood. Handoff verified end-to-end. 60 Days — Stale content updated. Scoring validated. Handoff working automatically. First performance report delivered. 90 Days — Marketing-sourced pipeline tracked and growing. Scoring predicts conversion. SOPs current. Stack runs clean. Tools You'll Use Marketing automation platform, CRM, Meta Ads Manager, paid search, n8n, web analytics, Slack, Google Drive, AI copilot. Why Join Us You won't manage a marketing automation platform that sends the same email to everyone. You'll build intelligent nurture sequences that adapt to prospect behavior, score leads based on real intent signals, and hand qualified leads to Sales at exactly the right moment. The infrastructure exists. The content is being produced. Your job is to make the automated middle layer work — so no prospect falls through the gap between "interested" and "ready." 5 hours of focused automation work per day. Systems over manual effort. Self-Check Before You Apply Can you diagram every active automation in your current marketing stack from memory — triggers, content, exits, handoffs? When was the last time you validated your lead scoring model against actual conversion data? (If never, that's a gap.) Do you monitor automation health daily — or find out about failures when someone complains? Can you explain your marketing-to-sales handoff logic to a Sales operator and have them trust it? Is every automation you manage documented — or is some of it "just in your head"? When a nurture email gets a 5% open rate, do you diagnose the cause — or just send the next one? #J-18808-Ljbffr DataDrone Inc.