Meet Fetch Engineering: 
At Fetch, we are passionate about solving challenging problems and embracing ambiguity. Our engineering philosophy promotes adaptability and innovation over rigid adherence to rules. Our engineers thrive in complex environments, making well-informed decisions even in uncertain situations. We seek out the necessary information and focus on action and impact, while consistently upholding high technical standards. In this role, you will be a technical leader, shaping best practices to build world-class, user-facing technology. You will mentor fellow engineers, fostering technical growth and collaboration within the team. As a hands-on leader, you will actively contribute to the codebase and deliver features alongside your team.

About the Role:

Fetch is entering its AI-first era, and we’re looking for a Principal Software Engineer to design, scale, and evolve the intelligent systems that power personalized consumer and advertising experiences for millions of users. 

In this role, you’ll lead the architecture and development of high-performance platforms that unify data, learning, and delivery to power seamless, adaptive, and measurable products. Sitting at the intersection of ad intelligence, data engineering, and system design, you’ll partner closely with product, platform, and data science teams to make Fetch’s experiences smarter, faster, more relevant, and more measurable.

This is a high-impact, hands-on role that bridges deep technical execution with organizational influence. You’ll serve as an architect and thought partner to senior engineering leadership, helping bring advanced AI and ad quality capabilities into production, improving developer velocity, and driving system intelligence and reliability at scale. You’ll shape how Fetch builds software: resilient, observable, high-performing systems that evolve toward IPO readiness while delivering measurable ad and user value.

Fetch is building the connective tissue between consumers and commerce, where data, intelligence, and monetization converge. With 77M+ receipts processed weekly and $150B+ in GMV flowing through our platform, scale is both our challenge and our advantage.

As a Principal Engineer, you’ll play a pivotal role in making Fetch’s systems as intelligent as its products, ensuring our ads platform, data intelligence, and engineering velocity are ready for the next phase of growth and beyond. You will deliver org-wide and company-level impact, shaping the architecture, reliability, and intelligence of Fetch’s Ads platform and influencing technical strategy across multiple engineering collectives.

This is a full-time role that can be held from one of our US offices or remotely in the United States.

Role Responsibilities: 

Architect for Scale, Intelligence, and Ads Quality: Design high-performance platforms that unify data, learning, and delivery, powering Fetch’s advertising, personalization, and measurement experiences. Build systems that drive relevance, transparency, and measurable quality across millions of interactions. Advance Intelligence in Production: Partner with ML and Data Science Teams to operationalize models for ranking, targeting, and feedback optimization, ensuring each system meets clear latency, reliability, and explainability standards. Define the architectural patterns that make Fetch’s intelligence both adaptive and accountable. Evolve the Ads Platform: Shape the backbone of Fetch’s ad-serving and quality ecosystem, spanning selection, ranking, attribution accuracy, and fraud prevention. Drive innovation in how Fetch measures and improves ad performance and user experience simultaneously. Define System and Experience Quality: Establish company-wide standards for ad and user experience quality, integrating performance, reliability, and relevance metrics. Embed SLOs, guardrails, and feedback loops to ensure our intelligent systems stay safe, measurable, and high-performing. Lead Through Influence and Product Partnership: Collaborate across Product, Platform, and Data teams to align technical decisions with business outcomes. Translate tradeoffs into measurable ROI, latency, and quality improvements that drive Fetch’s growth and partner success. Acts as a connective force across platform, product, and AI teams to drive alignment, clarity, and execution on long-term strategic initiatives. Accelerate Innovation Velocity: Champion AI-assisted iteration, experiment tooling, and feedback-driven observability to enhance developer and product velocity. Empower teams to move faster without compromising reliability or user trust. Mentor and Multiply Impact: Sponsor Senior Engineers and emerging Technical Leads, coaching them to design systems with data-backed decisioning and operational rigor. Scale your impact through mentorship and reusable patterns that elevate the org’s technical bar.

In your Toolbox (Minimum Requirements):

Proven expertise in data-intensive and intelligent platform design that enables personalization, targeting, or large-scale quality optimization. Experience in ad platforms or performance marketing systems, particularly in ranking, targeting, or measurement optimization. Experience designing or scaling ad-serving, ranking, or recommendation systems where relevance, latency, and feedback loops are critical to success. Strong intuition for data quality, attribution accuracy, and ad performance metrics. Track record of leading cross-org technical initiatives that improved reliability, velocity, or experience quality. Deep experience bringing ML-driven intelligence into production, including feature pipelines, inference systems, and safety validation. Fluency in modern software ecosystems (Kubernetes, CI/CD, event streaming, observability, AI-assisted development workflows). Demonstrated ability to translate technical design into business outcomes, influencing senior leadership and product strategy. Growth mindset: equally comfortable building and influencing, and relentlessly focused on measurable outcomes.

Preferred Requirements: 

Familiarity with LLM agent frameworks (LangChain, Semantic Kernel, Haystack) or retrieval-augmented generation architectures. Expertise in feedback-based optimization systems, A/B experimentation, or learning-to-rank pipelines. Strong intuition for data quality, attribution accuracy, and ad performance metrics. Experience improving observability, latency, and cost-efficiency in intelligent or user-facing systems. Exposure to multi-modal or contextual intelligence, integrating structured and unstructured data into ranking or decision systems