Senior Product Marketing Ops

At R2, we believe that small and medium businesses are the productive engine of society. Small and medium businesses (SMBs) make up over 90% of companies in Latin America, yet they face a trillion-dollar credit gap. Our mission is to unlock SMBs’ potential by providing financial solutions that are tailored to their needs. We are reimagining the financial infrastructure of Latin America, where SMBs financial needs are satisfied without ever having to go to a bank.

R2 enables platforms in Latin America to embed financial services that SMBs can then leverage (starting with revenue-based financing). We are a tight-knit team coming from organizations such as Google, Amazon, Nubank, Uber, Capital One, Mercado Libre, Globant, and J.P. Morgan. We are entering a new phase of growth following a strategic investment from Ant International, focused on rapidly expanding our partner footprint, strengthening our credit and underwriting capabilities, and scaling our operations across multiple markets.

As a Senior Product Marketing Ops, you will spearhead the structuring and scaling of R2’s Marketing data infrastructure. You will collaborate cross-functionally with Product, Engineering, Growth, and partner teams to build the systems that power marketing attribution, operational execution, and real-time performance visibility across all R2 partnerships.

What you’ll work on

• You will work closely with Product Managers, Engineers, Growth, and Marketing teams to build and scale the data infrastructure that powers Marketing at R2.
• You will own the end-to-end marketing data layer, from ingestion to dashboards to operational execution.
• You will connect and maintain marketing data sources (Customer.io, Snowflake, partner files, APIs), ensuring data freshness, correctness, and reliability.
• You will build near-real-time attribution dashboards that connect campaigns to applications and originations.
• You will design and manage reporting systems in tools such as Looker, Tableau, Metabase, or similar BI platforms.
• You will enable real-time detection of underperformance and anomalies across partners and campaigns.
• You will manage manual operational workflows while we automate them, including:
  • Generating and uploading CSV datasets
  • Uploading offer campaigns into our Backoffice
  • Extracting complex ad hoc reports
  • Ensuring correct segmentation in Customer.io
• You will support marketing experimentation by analyzing performance across segments (amount, risk tier, geography, partner) and providing structured inputs for A/B tests, cadence adjustments, and campaign extensions.
• You will work with APIs and automation tools to improve the integration between Snowflake, Customer.io, and external partner systems.
• You will progressively eliminate manual bottlenecks and drive toward fully automated marketing operational workflows.
• You will be responsible for building a real-time observability dashboard showing how Marketing drives originations at R2.

Who you are

• 5+ years of experience in Marketing Ops, Marketing Growth Analytics, Marketing Data Analytics, or similar roles.
• Advanced SQL proficiency (Snowflake strongly preferred).
• Strong experience with BI tools such as Looker, Tableau, Metabase, Power BI or similar.
• Advanced Google Sheets / Excel skills.
• Experience working with CRM and MarTech tools (Customer.io is a strong plus).
• Comfortable working with APIs and structured data flows.
• Strong operational mindset, you are comfortable both building systems and executing manual processes when needed.
• Proven ability to translate raw data into actionable insights that drive growth decisions.
• Strong written and oral communication skills in Spanish.
• Strong fluency in English, both written and spoken.
• Motivated self-starter with a bias for action who thrives in a fast-paced, high-growth environment.environment.

Nice to have

• Previous experience in fintech, especially within the Latin American market.
• Experience working in embedded finance or partner-driven ecosystems.
• Familiarity with experimentation frameworks and attribution modeling.
• Experience working in high data-volume environments.

Locations: Bogotá, Buenos Aires, São Paulo