Principal Software Engineer, Measurement & Attribution

Fetch•Remote,

2d•Hybrid

About The Position

AI & Data at Fetch sit at the center of how we understand our business, make decisions, and build intelligent products. The organization operates as an integrated AI & data ecosystem, spanning multiple disciplines, including data engineering, analytics engineering, machine learning, experimentation, and data platforms, all working together to turn data into durable business and customer impact. Teams operate in complex problem spaces where requirements evolve, tradeoffs are constant, and the right answer is rarely obvious. Success depends on strong technical judgment, comfort with ambiguity, and the ability to gather context and make informed decisions while balancing quality, performance, scalability, and responsible use. Practitioners across this org contribute hands-on to production systems, analytical foundations, and intelligent features. You will collaborate closely with product, platform, and engineering partners, help shape standards and best practices, and ensure our AI and data capabilities scale reliably as Fetch grows. About the Role: Fetch is America’s rewards app, and measurement sits at the center of everything we do. Every reward issued, advertiser invoice generated, partner payout processed, and trust signal delivered depends on our ability to accurately attribute real-world user activity across an increasingly complex ecosystem of partners, platforms, and channels. As Fetch expands across offers, shopping, dining, gaming, advertising, and credit card experiences, measurement has become both a foundational platform and a strategic differentiator. Today, attribution and event reconciliation span a fragmented landscape of MMPs, affiliate networks, DSPs, Conversion APIs, card-linked offer providers, and direct integrations, each with its own identity model, event schema, attribution logic, fraud posture, and reconciliation requirements. To support the next phase of Fetch’s growth, we are investing in a unified measurement and attribution platform that enables consistent, scalable, and trustworthy event attribution across the entire ecosystem. This includes building first-party measurement capabilities that reduce dependency on external intermediaries while improving accuracy, flexibility, reporting, and advertiser value. As a Principal Engineer in Measurement & Attribution, you will serve as the senior technical leader responsible for defining the architecture and long-term strategy behind Fetch’s measurement platform. You will partner closely with Engineering, Data, Ads, Growth, Finance, Legal, and Business Development to build systems that power attribution, reconciliation, fraud detection, reporting, and closed-loop measurement at massive scale. This is a hands-on technical leadership role with influence across multiple organizations. You will guide architecture decisions, establish technical standards, mentor engineers, and help shape one of the company’s most strategically important technical investments. This is a full-time role that can be held from one of our US offices or remotely in the United States.

Requirements

10+ years of software engineering experience, including significant experience operating at the Staff or Principal Engineer level
Deep experience designing and operating distributed systems, large-scale event pipelines, or high-throughput data infrastructure
Strong background in backend architecture, attribution systems, event processing, or measurement platforms
Experience building systems that support high-scale user-facing applications and partner ecosystems
Hands-on experience with one or more of the following domains: ad tech, mar tech, mobile attribution, payments, identity resolution, fraud detection, or large-scale analytics infrastructure
Direct experience working with partner ecosystems such as MMPs, Conversion APIs, DSPs, affiliate networks, or card-linked offer platforms
Strong understanding of distributed systems concepts including idempotency, reconciliation, schema evolution, probabilistic matching, and exactly-once processing semantics
Demonstrated ability to influence technical strategy and architecture across multiple teams without direct authority
Experience partnering closely with Product, Data, Finance, Legal, and Business stakeholders to deliver measurable business outcomes
Strong written communication skills with the ability to clearly communicate complex technical concepts and architectural tradeoffs
Familiarity with privacy, compliance, or financial reporting considerations including GDPR, CCPA, ATT, IFRS 15, or ASC 606
Experience leveraging AI-assisted development tools to improve engineering productivity and system quality
Bachelor’s degree or higher in Computer Science, Engineering, or a related technical field. Equivalent practical experience may be considered

Nice To Haves

Experience building or contributing to attribution platforms, identity graphs, Conversion APIs, or measurement infrastructure
Experience supporting consumer mobile applications, advertising platforms, or retail media ecosystems at scale
Familiarity with MMPs including AppsFlyer, Adjust, Kochava, Branch, or Singular
Experience with Conversion APIs including Meta CAPI, TikTok Events API, or Google Enhanced Conversions
Experience designing systems for fraud detection, incrementality measurement, lift studies, or closed-loop attribution
Background in publisher-side, advertiser-side, retail media, or performance marketing measurement systems
Strong programming experience in Go, Java, Kotlin, or similar backend languages
Experience replacing third-party infrastructure with first-party platform capabilities
Experience improving developer velocity through platform investments, internal tooling, or engineering enablement initiatives
Ability to translate highly technical concepts into clear explanations for cross-functional and non-technical stakeholders

Responsibilities

Define the Technical Strategy for Measurement & Attribution: Own the long-term technical vision and multi-year roadmap for Fetch’s measurement and attribution ecosystem. Drive architectural direction across event ingestion, identity resolution, attribution logic, reconciliation, reporting, and partner integrations.
Build a Unified Attribution Platform: Lead the development of a unified attribution spine that standardizes how Fetch measures user activity across offers, shopping, restaurants, gaming, impressions, and credit card experiences. Enable downstream consumers across Rewards, Billing, Finance, ML, Analytics, and Business Development to operate from a single source of truth.
Architect Scalable Event Processing Systems: Design and evolve distributed systems that process billions of events across Fetch’s partner and consumer ecosystems. Ensure systems remain scalable, reliable, observable, and resilient as event volume, partner complexity, and business criticality continue to grow.
Develop a Reusable Partner Integration Framework: Create extensible frameworks and tooling that simplify onboarding and reconciliation across MMPs, DSPs, affiliate networks, Conversion APIs, card-linked offer providers, and direct merchant integrations. Reduce operational complexity and transform new partner onboarding from a lengthy engineering effort into a scalable platform capability.
Advance First-Party Measurement Capabilities: Help Fetch build direct measurement infrastructure that competes with external intermediaries through SDKs, server-to-server pipelines, deterministic and probabilistic matching, fraud controls, incrementality measurement, and privacy-conscious identity systems.
Improve Trust, Reconciliation, and Auditability: Establish systems and standards for discrepancy detection, dispute resolution, fraud detection, payout accuracy, and audit-grade lineage from raw event to recognized revenue. Ensure measurement systems support financial reporting requirements and regulatory compliance.
Drive Cross-Functional Technical Alignment: Partner closely with Product, Ads, Growth, Data, Finance, Legal, and Business Development teams to align technical systems with business strategy, partner requirements, privacy considerations, and revenue goals. Influence architectural direction across multiple engineering organizations.
Mentor and Elevate Engineering Teams: Provide technical mentorship to senior engineers and emerging technical leaders. Raise the engineering bar across system design, operational excellence, reliability, and architectural thinking.
Accelerate Engineering Productivity: Champion development practices and tooling that improve engineering velocity and system quality, including AI-assisted development tools such as GitHub Copilot or Claude Code, improved observability, streamlined CI/CD workflows, and stronger developer experience.
Model Technical Excellence: Lead by example through strong engineering judgment, pragmatic architecture decisions, and clear technical communication. Promote a culture of ownership, accountability, clarity, and long-term thinking in a domain where correctness and trust are critical.