5+ years of experience in technical program management, particularly in data-intensive products and systems architecture., Expertise in data pipeline orchestration tools and cloud-based data infrastructures., Strong understanding of event-driven architectures and financial data automation., Fluency in SQL, Python, or other scripting languages for data workflows..
Key responsabilities:
Own the availability and usability of data across R2 through queries, dashboards, and alerts.
Manage prioritization of data engineering and data science teams, removing technical roadblocks.
Lead the deployment and integration of scalable systems to automate financial processes.
Define and measure technical success metrics, providing clear reporting on project progress and business impact.
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Through our embedded lending infrastructure, we enable platforms to offer capital to their customers in Latin America. R2 has partnered with some of the region's most iconic companies, including Rappi and Clip, to power their capital arms.
We are backed by Gradient Ventures (Google's AI-focused fund), General Catalyst, Y Combinator, 166 2nd, Soma Capital, Femsa Ventures, PayU, and other global investors.
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 and buy now pay later for business customers). We are a tight knit team coming from organizations such as Google, Amazon, Nubank, Uber, McKinsey & Co., Mercado Libre, Globant, J.P. Morgan, Clip, and Ualá. We are backed by world-class investors such as Gradient Ventures (Google’s AI-focused fund), General Catalyst, Y Combinator, Femsa Ventures, PayU, among others.
\ As a Senior Technical Program Manager (TPM) lead mission-critical initiatives across R2. This role focuses on designing, implementing, and optimizing complex workflows that power R2’s financial infrastructure. The TPM will prioritize and unblock key data engineering workflows, drive cross-functional system design, establish KPIs to measure progress and communicate progress on technical plans across internal stakeholders.
\ Key Responsibilities
Making data available across all of R2: Own, ensuring everyone is set up to use and actually leverages data across the company via queries, dashboards, and alerts.
Managing Data Priorities & Dependency Management: manage week-to-week prioritization of data engineering and data science teams by identifying critical data dependencies, removing technical roadblocks, and ensuring efficient execution of workflows and OKRs.
System Implementation (e.g. ERP): Lead the deployment and integration of scalable systems to automate key processes (e.g. ERP -> financial workflows and reporting).
Processing Automation (e.g. Real-Time Payment Systems): Enhance and automate FinOps processes for seamless, automated transaction processing.
Integration & Offer Generation Optimization: Improve cross-functional workflows when integrating new partners, including QA implementation of our underwriting system and Risk analyses, while managing global timelines (such as generating loan offers across our partners) in light of integration changes
Technical Measurement & KPI Tracking: Define and measure technical success metrics, providing clear reporting on project progress, system performance, and business impact.
Required Qualifications
5+ years of experience in technical program management, focusing on data-intensive products/programs and systems architecture in fintech, SaaS, or large-scale technology platforms.
Expertise in data pipeline orchestration tools (e.g., Apache Airflow, Prefect, Dagster) and cloud-based data infrastructures (AWS, GCP, or Azure).
Strong understanding of event-driven architectures, real-time processing, and financial data automation.
Fluency in SQL, Python, or other scripting languages to query and optimize data workflows.
Ability to translate and execute complex technical solutions into clear roadmaps for business and engineering stakeholders.
Strong problem-solving and debugging skills in large-scale, data-intensive environments.
Track record of working with data teams on SCRUM, prioritization, integration, and scaling infrastructure.
Preferred Qualifications
Background in fintech payments, ledger systems, or high-frequency data workflows.
Familiarity with multi-country payment automation and banking integrations.
Expertise in financial data reconciliation and payment risk management processes.
If you are passionate about data orchestration, technical program execution, and scaling complex financial infrastructure, we’d love to hear from you!
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Experience
Spoken language(s):
English
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