Principal Software Engineer, Data Products at Fetch

Job description

Meet Fetch Engineering At Fetch, engineering is driven by curiosity, ownership, and a bias toward action. We operate in complex problem spaces where the right answer is not always clear, and success depends on adaptability, critical thinking, and informed decision-making. Our engineers are comfortable navigating ambiguity, understanding tradeoffs, gathering context, and turning uncertainty into progress while maintaining high technical standards. Engineers at Fetch take pride in building reliable, scalable systems that serve millions of users. You will contribute directly to the codebase, collaborate closely with cross-functional partners, and help shape best practices that elevate the quality of our work. We foster a culture of mentorship and collaboration, where engineers grow by learning from one another and holding a high bar for quality, reliability, and impact. About the Role: Fetch is expanding its data business to help brands understand what consumers buy, reach relevant shoppers, and measure whether advertising drives incremental purchases. We’re hiring a technical leader to build the software behind these products, from creating and delivering audiences to running repeatable measurement workflows. You’ll help turn early capabilities into products that partners can evaluate, integrate, and use at scale. This is a Principal-level individual contributor role on the software engineering ladder within our Data organization, reporting to the VP of Data. You’ll combine hands-on software development with architectural ownership and technical leadership, guiding a significant product or platform domain from early exploration through production. You’ll work closely with Engineering, Data Science, Product, and our go-to-market teams to determine what to build, validate it with partners, and establish the systems needed to support a growing business. You’ll tackle problems such as turning a purchase-based audience into a repeatable creation, scoring, and delivery workflow; building measurement pipelines that produce reproducible partner results; and making new partner integrations faster through reusable services and APIs. We’ll agree on your initial area of ownership during the interview process, based on business priorities and your experience This is a full-time role that can be held from one of our US offices or remotely in the United States. What you’ll do at Fetch: Own technical direction and delivery. Define the architecture and implementation approach for a significant area of Fetch’s off-platform data business. Lead work from problem definition and proof of concept through production delivery and ongoing improvement. Build and operate production software. Design, implement, and maintain the services, APIs, and processing workflows behind our data products. Work with Core Data Platform to build on shared ingestion, storage, orchestration, and trusted data assets. Establish clear interfaces and ownership so product teams can extend these capabilities without duplicating foundational infrastructure Turn evolving needs into concrete solutions. Partner with Product, Sales, and external partners to clarify requirements, test assumptions, and translate feedback into practical engineering decisions. Make sound architectural tradeoffs. Balance delivery speed, scalability, reliability, and maintainability, choosing solutions appropriate to the product’s stage and partner commitments. Bring data science into production. Partner with data scientists to turn audience models and measurement methods into reliable software. Build repeatable data preparation, scoring, evaluation, and delivery workflows, with clear versioning, monitoring, and recovery mechanisms. Jointly define production acceptance criteria, balancing scientific validity, partner requirements, runtime, and cost. Improve data quality and reliability. Build validation, monitoring, and operational safeguards that help ensure accurate, dependable outputs and meet agreed par