Jobs · Management · New York

Marketing Operations Lead

Rho · New York, NY · 3 wk ago
On-siteManagement$130/hrFull-time

About Us

Rho is the modern banking platform built for the AI era. Startups and growth-stage companies can open accounts in minutes, issue cards, manage expenses, pay bills, and close the books – all in one connected platform backed by real human support.

About The Role

We're hiring a Marketing Operations Lead to own the data and systems layer under Rho's marketing team. Today it's spread across a dozen platforms, mostly unmodeled, with no single owner. We can tell you what we spent and roughly what came in. We can't tell you reliably which channels produce funded customers, at what cost, or how much of that would've happened anyway. You'll fix that. Define what marketing measures, get every source into Snowflake as modeled data, and build the reporting marketing, exec, and the board actually run on. This is hands-on. You work in the same infrastructure as everyone else: Snowflake and dbt, alongside data engineering. You are not here to build a parallel marketing data stack inside Salesforce, HubSpot, or a spreadsheet. If it matters, it lives in the warehouse. Data engineering owns the platform and the pipelines. RevOps owns the CRM and the sales systems of record. You own marketing metric definitions, the models built on them, and the activation layer.

Responsibilities

  • Build attribution that holds up, including reconciling ad platforms, the CRM, and our call platform, where the same funnel can return three different numbers.
  • Go beyond last-touch: design and run incrementality tests (holdouts, geo-lift) to tell us what spend is actually causal versus what would've converted anyway.
  • Define the marketing metrics layer: grain, definitions, and the join path from every marketing source to funded outcomes. This is the current bottleneck and it's yours on day one.
  • Model every source in Snowflake: paid social, web analytics, search console, organic social, affiliate and referral, call platform, CRM, AI search visibility. Data engineering handles ingestion, you own the dbt models.
  • Ship the recurring reporting: weekly channel performance, cost per funded customer, CAC and payback by channel and cohort, marketing health.
  • Own the activation layer: reverse ETL from the warehouse into lifecycle, ads, and sales tooling, so audiences come from modeled data instead of hand-pulled lists.
  • Own marketing systems hygiene: form capture, UTM and campaign taxonomy, data contracts. Lead routing and CRM sync jointly with RevOps, who own the CRM.
  • Get PII handling right by design: where lead capture data lands, what gets passed to third parties.
  • Instrument programs at launch, not after.
  • Document and monitor everything, so a wrong number

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