Founding Data Engineer

Veritus is a next-generation, vertically integrated debt buyer and collections platform powered entirely by AI. We acquire charged-off consumer debt and service it using in-house AI agents—including voice AI—replacing costly and inconsistent human collectors with automated agents that are faster, cheaper, and more compliant. By owning the full stack—from debt acquisition and portfolio valuation to omnichannel outreach and negotiation—we drastically reduce cost-to-collect, enabling us to pay more for portfolios and scale rapidly. Veritus is positioned to lead a massive transformation in the $16B+ collections industry, expanding from debt buying into third-party servicing and SaaS. We’ve just joined Y Combinator’s Summer 2025 batch and are backed by repeat founders with deep experience in AI, fintech, and regulatory-heavy industries. Now we’re building out the founding team—and looking for world-class engineers who want to work at the heart of a high-margin, AI-native vertical business. About the role Veritus is a YC-backed startup (S25) reinventing debt collections with AI. We’re a next-gen debt buyer and collections platform built from the ground up using AI agents—including voice agents—to replace expensive, inconsistent human collectors. Our tech-first approach enables dramatically lower costs, better user experiences, and superior compliance. We’re looking for a Founding Data Engineer to help us build the infrastructure that powers AI-driven decisioning, pricing, and omnichannel outreach at scale. This is your chance to join right at the beginning of our journey, at cofounder level, including joining the YCS25 batch. What You’ll Do Own and build the data platform from the ground up: pipelines, storage, models, and tools Work closely with the CEO and founding team to define the data architecture and analytics roadmap Ingest, clean, and normalize large volumes of financial and behavioral data from multiple sources (e.g., creditors, servicers, credit bureaus, telephony platforms) Enable real-time and batch pipelines for pricing models, risk scoring, outreach sequencing, and compliance monitoring Set the data culture and engineering standards for the company You Might Be a Fit If You Have 7–12 years experience as a data engineer, or full-stack data generalist Have worked at least one startup and also seen how data flows in fintech or banking (ideally lending, credit, or collections) Can move fluidly between strategy and execution—one hour you’re designing architecture, the next you’re writing dbt models or debugging an Airflow DAG Are comfortable in early-stage chaos and excited to help scale a data-driven company from day one Have strong opinions about data governance, observability, and automation—and the pragmatism to know when to cut corners Why Join Veritus? Be the first data hire at a company where data is the product Work on high-impact problems in credit and finance that touch millions of lives Build and ship quickly with a technical, repeat-founder CEO and a world-class YC network Help shape the future of a vertically integrated AI platform for financial services Our tech stack includes: • Python, SQL, DBT, Airflow • Postgres, Snowflake, S3 • Vapi.ai (voice AI), Twilio, and other LLM orchestration layers • Hosted on modern cloud infra (AWS/GCP) You’ll work on: • Building our data + ML infrastructure from scratch • Integrating and scaling AI agents across channels (voice, SMS, email) • Designing recovery strategies that combine decision trees, ML, and LLMs • Creating a high-throughput, auditable system for compliant collections