Staff Software Engineer, Audiences

πŸ”₯ 10 minutes ago

πŸ‡ΊπŸ‡Έ United States – Remote

⏰ Full Time

πŸ”΄ Lead

πŸ§‘β€πŸ’» Full-stack Engineer

Where this job comes from

Posted on Fetch's careers page, not through a job board

First seen by Remote Rocketship 10 minutes ago

Logo of Fetch

Fetch

501 - 1000 employees

Founded 2013

πŸ‘₯ B2C

πŸ“£ Marketing

πŸ”₯ Funding within the last year

πŸ’° Later Stage VC on 2026-05

B2C β€’ Marketing

Fetch is a consumer mobile rewards app that lets users scan receipts to earn points that can be redeemed for gift cards and other rewards. The app awards points for everyday purchases (groceries, fuel, meals, games, etc. ), offers in-app games and promotions, and provides a business-facing offering (Fetch for Business) and browser extension. Fetch reports millions of monthly earners, millions of app reviews, and over $1B in rewards redeemed. The service emphasizes easy receipt scanning, point accumulation, and low-effort rewards for shoppers.

πŸ“‹ Description

β€’ Develop services and workflows for defining seed audiences, incorporating identity and attribute data, scoring eligible populations, validating membership, refreshing segments, and delivering audiences to partners and DSPs β€’ Partner with Data Science to productionize predictive and lookalike models through training, evaluation, deployment, and batch-scoring workflows β€’ Enable model version comparison and audience refreshes as data and behavior change β€’ Integrate identity mappings and partner-specific delivery requirements β€’ Monitor audience coverage through matching and delivery, diagnose losses, and build repeatable partner integrations β€’ Version datasets, models, and audience definitions for reproducibility β€’ Implement monitoring, quality checks, safe retries, corrections, access controls, and data-use restriction enforcement β€’ Shape the audience engineering roadmap and make architecture and build-versus-reuse decisions β€’ Guide engineers through delivery and build on shared ingestion, storage, orchestration, and governance capabilities with the core Data Platform team

🎯 Requirements

β€’ 12+ years of professional software engineering experience, including ownership of data-intensive products from design through production adoption β€’ Strong coding, API design, data modeling, and distributed-systems skills β€’ Experience operationalizing ML or predictive systems, including data dependencies, evaluation workflows, deployment, batch scoring, and monitoring β€’ Demonstrated experience setting technical direction for an engineering domain, aligning teams around architecture and priorities, and leading complex initiatives from ambiguous requirements through production adoption β€’ Experience making and evolving architectural decisions for production systems, balancing delivery, reliability, scalability, operating cost, and maintainability β€’ Ability to explain technical tradeoffs, build agreement across teams, and resolve dependencies and ownership boundaries β€’ Experience increasing the effectiveness of other engineers through design reviews, mentoring, technical standards, and breaking complex initiatives into deliverable work β€’ Track record of delivering measurable outcomes and using production results to guide improvements β€’ Experience with identity resolution, audience activation, adtech, or partner data integrations

πŸ–οΈ Benefits

β€’ Equity: full-time employees receive equity in Fetch β€’ 401(k) matching dollar for dollar, up to 4% of eligible pay β€’ Comprehensive medical, dental, and vision plans, including pets β€’ $10,000 per year in education reimbursement β€’ Employee Resource Groups and Inclusion Council participation β€’ Flexible PTO β€’ 9 paid holidays β€’ Year-end week-long break β€’ 14 weeks of fully paid parental leave β€’ 6 additional weeks of paid childbirth recovery leave for birthing parents β€’ Flexible return-to-work schedule β€’ One-time $2,000 Calvin Care Cash incentive for employees welcoming new family members β€’ Flexible work environment β€’ Hardware and software provided for home working

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