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Reindeer AI is building an agentic AI platform that helps enterprises transform complex business workflows into AI-powered operations. We're seeking a Marketing Operations Manager to own and build our marketing funnel machinery from the ground up.
You will own the complete lead lifecycle end-to-end, from creation through measurement and impact. This includes defining what qualifies as a lead, designing stage definitions and scoring models, routing rules, and SLA enforcement. You'll own the critical handoff between marketing and sales, ensuring nothing gets dropped.
Key responsibilities span four core areas:
Lead Lifecycle & Routing: Define lead qualification criteria across all channels (inbound forms, events, paid, outbound, partners, product signals). Design the complete lifecycle with stage definitions, lead statuses, scoring models, and routing rules. Own the handoff to SDRs and AEs.
Segmentation & Data: Build and maintain lists for demand gen, field marketing, and SDR teams. Own data enrichment and hygiene to ensure segments are current and accurate. Define how segments are created and maintained as they evolve.
Tools & Tracking: Evaluate, procure, and administer all marketing tools. Own the tracking layer—tag manager, pixels, UTM standards, conversion tracking across web and campaigns. Ensure data lands correctly in reporting systems.
Measurement & Attribution: Design the attribution model and decide what earns credit and when. Build reporting dashboards showing funnel conversion by stage, channel performance, cost per qualified meeting, and pipeline contribution. Document model blind spots proactively.
You'll partner closely with marketing leadership, demand gen, field and events, content, and the SDR team as an owner who joins planning early. You'll report to the VP of Marketing and carry strategy for the funnel model itself. HubSpot will be your system of record for both CRM and marketing automation—you'll design interfaces SDRs can act on and reporting leadership can read without friction.
This is a hands-on role in an early-stage, well-funded startup. You'll create structure where none exists, build systems from a blank page, and use AI to automate your own operational work: data cleanup, list building, workflow QA, reporting, and internal tooling.
