Fetch

Principal Software Engineer, Data Products

Fetch
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5 hours ago
Remote, United States or Reston, VA, USAStaff+
H1B sponsor

Responsibilities

  • Own the technical direction, architecture, and delivery of a significant area of Fetch’s off-platform data business.
  • Design, implement, operate, and improve production services, APIs, and data-processing workflows.
  • Build repeatable audience creation, scoring, evaluation, measurement, and delivery workflows with versioning, monitoring, and recovery mechanisms.
  • Partner with Product, Data Science, Sales, engineering teams, and external partners to define requirements and validate solutions.
  • Establish data-quality validation, monitoring, operational safeguards, and reliable interfaces for product teams.
  • Lead complex initiatives through technical influence, resolve dependencies and disagreements, mentor engineers, and improve engineering practices.

Requirements

  • 15+ years of software engineering experience, including technical strategy, cross-organization architecture leadership, and company-level impact.
  • Demonstrated ownership of a data-intensive product from an ambiguous problem or prototype through production launch and sustained customer or partner use.
  • Track record of building and operating production software with ownership of consequential architectural and delivery decisions.
  • Experience with advertising platforms, audience products, measurement or attribution systems, demand-side platforms, or closely related data products.
  • Strong software engineering fundamentals in system design, backend development, testing, and production operations.
  • Experience designing systems that process substantial data volumes while balancing data quality, performance, reliability, and operational tradeoffs.
  • Demonstrated technical leadership of complex initiatives involving multiple engineers or teams.
  • Strong product judgment, communication, and ability to connect technical decisions to partner needs, adoption, and business outcomes.
  • Preferred: experience bringing machine learning models into production with Data Science.
  • Preferred: familiarity with audience expansion, lookalike modeling, predictive advertising systems, statistics, anomaly detection, data-quality techniques, and integrations with advertising platforms or external partners.

Benefits

  • Full-time role available from a US Fetch office or remotely within the United States.
  • Compensation package includes base compensation, equity, and benefits.

Categories

BackendData Engineering
Fetch

About Fetch

1,001-5,000 employees

Fetch builds a consumer rewards app where users earn points by scanning receipts and redeem them for gift cards, while brands use its SKU-level, retail-agnostic purchase data for targeted, outcomes-based advertising and measurement. The privately held company, founded in 2013, processes over 13 million receipts daily, creating visibility into more than $200 billion in gross merchandise value. Its platform has awarded over $1 billion in points and operates a hybrid-remote workplace.

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