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Jobs / Marketing Operations Manager in United States of America
10 days ago
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Rho·10 days ago
10 days ago

Marketing Operations Lead

NYC, United States of AmericaFull-timeOn-siteSenior · 6-10 yearsMarketing Operations Manager

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Must-have skills for this role

  • sql
  • dbt
  • attribution
  • reverse etl

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Apply faster with autofill FREErho uses Ashby - autofill it instead of retyping.careers.example.com/applyAutofillingFull namePriya SharmaEmailpriya.sharma@example.comPhone+49 30 1234567LocationBerlGet the extension

What you'll do

  • 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.
  • Build attribution that holds up, including reconciling ad platforms, the CRM, and our call platform, where the same funnel can return three different numbers.
  • 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 surfaces on a dashboard instead of in a board meeting.

What they're looking for

  • Fluent SQL, and you've built and owned dbt models in a real warehouse. This isn't a role you can do from platform UIs.
  • You've owned marketing or GTM data where the number mattered financially, and defended a CAC or attribution figure to a skeptical exec.
  • You've reconciled conflicting numbers across ad platforms, a CRM, and a warehouse, and can explain the gap rather than picking the flattering one.
  • Systems experience, not just analysis: forms, routing, CRM sync, reverse ETL, taxonomy. Comfortable owning plumbing.
  • You define metrics instead of waiting to be handed them.
  • Judgment on PII and compliance in a regulated financial services context.
  • Comfortable as the only person in your function, working across marketing, data engineering, sales ops, and growth without authority over any of them.

Nice to have

  • Fintech, banking, or another regulated environment.
  • Snowflake, dbt, Hightouch, Salesforce, HubSpot.
  • Measurement for AI search and answer engine visibility. It's an active channel for us and barely instrumented anywhere.

Summarised by NextRaise from the employer’s description, which follows in full below.

Full description from employer

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, or at what cost.

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

  • 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.

  • Build attribution that holds up, including reconciling ad platforms, the CRM, and our call platform, where the same funnel can return three different numbers.

  • 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 surfaces on a dashboard instead of in a board meeting.

Requirements

  • Fluent SQL, and you've built and owned dbt models in a real warehouse. This isn't a role you can do from platform UIs.

  • You've owned marketing or GTM data where the number mattered financially, and defended a CAC or attribution figure to a skeptical exec.

  • You've reconciled conflicting numbers across ad platforms, a CRM, and a warehouse, and can explain the gap rather than picking the flattering one.

  • Systems experience, not just analysis: forms, routing, CRM sync, reverse ETL, taxonomy. Comfortable owning plumbing.

  • You define metrics instead of waiting to be handed them.

  • Judgment on PII and compliance in a regulated financial services context.

  • Comfortable as the only person in your function, working across marketing, data engineering, sales ops, and growth without authority over any of them.

Nice to have

  • Fintech, banking, or another regulated environment.

  • Snowflake, dbt, Hightouch, Salesforce, HubSpot.

  • Measurement for AI search and answer engine visibility. It's an active channel for us and barely instrumented anywhere.


Our people are our most valuable asset. The base salary for this role is $130-180K. In addition to base pay, Rho offers equity, healthcare benefits and paid time off.

Diversity is a core value at Rho. We’re passionate about building and sustaining an inclusive and equitable environment for all those involved with our mission, including employees, contractors, candidates, customers and vendors. We believe every member of the Rho community enriches our ability to provide a broad range of ways to understand and engage with the market, identify problems, and drive solutions that align with our mission. We welcome all qualified applications and support each of our Rho’ers with ongoing professional growth opportunities.

Company

Rho
NYC, United States of America

Company facts come from this company's own listings. We only show what the postings themselves carry.

Sourced from Rho's careers site·first seen 10 Sept 2026·last verified 10 Sept 2026·How we source jobs

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