Fetch is entering its AI-first era and needs to design, scale, and evolve intelligent systems that power personalized consumer and advertising experiences for millions of users. The company aims to make its ads platform, data intelligence, and engineering velocity ready for the next phase of growth, ensuring its systems are as intelligent as its products.
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).
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.
Other
- This is a full-time role that can be held from one of our US offices or remotely in the United States.
- Ranked as one of America’s Best Startup Employers by Forbes for two years in a row, Fetch fosters a people-first culture rooted in trust, accountability, and innovation.
- We encourage our employees to challenge ideas, think bigger, and always bring the fun to Fetch.
- Fetch is an equal employment opportunity employer.
- Fetch also provides reasonable accommodations to qualified individuals with disabilities or those with sincerely held religious beliefs, as required by law.
