Staff Software Engineer, Fetch
+ Equity
Mobile shopping and rewards platform
Be an early applicant
Mobile shopping and rewards platform
1001+ employees
Be an early applicant
+ Equity
1001+ employees
Company mission
To empower consumers to live rewarded and help brands create lifelong customers through the power of Fetch Points.
Role
Who you are
- 8+ years of experience designing, building, and operating backend systems that support critical, user-facing workflows at scale
- Demonstrated ownership of backend architecture for complex, multi-service systems, including long-term evolution, failure modes, and operational maturity
- Deep expertise in API design and service boundaries for decisioning systems that ingest signals, enrich context, and produce deterministic, explainable outcomes
- Proven experience building secure data access layers that aggregate sensitive customer data with strict authorization, PII minimization, and auditable access patterns
- Strong track record of designing systems with explicit human-in-the-loop controls, approvals, and escalation paths for high-impact actions
- Hands-on experience instrumenting production systems with end-to-end observability, including traceability of decisions, accuracy signals, and error analysis
- Ability to independently translate ambiguous product and policy requirements into robust backend designs with clear risk tradeoffs
- Demonstrated influence beyond direct ownership, including mentoring senior engineers and setting engineering standards for reliability, safety, and maintainability
Desirable
- Direct experience building backend platforms that integrate LLMs or ML models into real-time decisioning or recommendation workflows
- Experience defining and operationalizing accuracy, confidence scoring, and acceptance thresholds for automated or semi-automated systems
- Background in building systems that transition from human-reviewed actions to gated automation with explicit risk controls and rollback mechanisms
- Experience in domains where correctness, explainability, and auditability are mandatory, such as support tooling, trust & safety, fraud, payments, or compliance
- Familiarity with retrieval patterns that safely provide contextual data to models, including RAG, tool invocation, or structured prompting pipelines
- Experience designing systems that support offline evaluation, shadow mode execution, and controlled production experiments
- Prior Staff- or Principal-level experience driving architectural direction across teams or platforms
What the job involves
- 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
- Fetch’s Core Services team is building the next generation of support experiences, powered by an LLM, grounded in trusted data, and designed with safety and accountability from day one. This work is user-facing and directly shapes how quickly and accurately customers get help, and how confidently agents can resolve issues
- We’re hiring a Staff Backend Engineer to design and evolve the systems behind an LLM-enabled support toolchain
- You’ll build the backend architecture that allows a chatbot or LLM to make personalized, data-driven determinations about ticket type and recommended resolutions, while ensuring all actions, such as awarding points, are initially routed to human agents for review and approval
- Recommendations will be evaluated for accuracy, monitored over time, and progressively unlocked so that in a later phase, ticket types that consistently meet accuracy and safety thresholds can be resolved end to end through automation with strong safeguards and auditability
- This is a high-impact role at the intersection of backend systems, data, and applied AI, where reliability, observability, and responsible automation are non-negotiable
- Design and scale core services for LLM-driven support tooling by building modular systems that classify customer issues, recommend ticket types, and propose resolution paths using real-time, trusted data
- Build user-facing and agent-facing APIs for support decisioning by developing well-structured APIs that support consistent ticket intake, enrichment, routing, and recommendation outputs across automated chat surfaces and internal agent tools
- Implement a secure customer context retrieval layer by building services that assemble only the necessary contextual data with strict access controls, PII minimization, and auditing, enabling safe, data-driven personalization
- Build human-in-the-loop workflows for action approval by designing mechanisms that route LLM recommendations to agents for review with clear rationale, supporting evidence, and suggested responses, ensuring humans remain the final approvers in early phases
- Develop evaluation, monitoring, and observability for LLM-powered support by instrumenting tracing, structured logs, and metrics to monitor end-to-end flows including latency, success rate, recommendation acceptance rate, accuracy, escalation rate, and error modes, and by enabling offline evaluation and controlled online experiments
- Enable phased automation with confidence gates and risk controls by building a path to no-human-in-the-loop execution for specific ticket types only after defined accuracy and safety thresholds are met, with safeguards including confidence scoring, tiered permissions, rate limiting, anomaly detection, kill switches, and comprehensive audit trails
- Partner across Support, Product, Data Science/ML, and Risk/Compliance to define what “accuracy” and “safe automation” mean, establish review processes, align on policies, and ensure the system meets operational and regulatory requirements
- Raise the bar on backend architecture, reliability, privacy and security, and responsible automation patterns, helping the team build systems that are both fast to iterate and safe to deploy at scale
Our take
Leading mobile shopping and loyalty platform Fetch has seen explosive success in recent years. Its concept is simple: users receive spendable points in exchange for scans of their shopping receipts.
The app has tens of millions of daily active users with even more downloads, and has seen impressive growth, having now reached 'unicorn' status twice over. This should come as no surprise. Brand reinforcement is crucial to customer retention and acquisition - but it is harder than ever, with the fragmentation of choice on the market and the declining efficacy of marketing. So material loyalty benefits are likely to prove a crucial tool in creating and leveraging a strong customer base.
Whilst Fetch faces competition from similar receipt-scan rewards platforms like ReceiptPal and Ibotta, it grew into a profitable company in late 2023. And its using its most recent Morgan Stanley-backed funding to aggressively add brand partners at a competitive pace and onboard staff at a level that promises strong continued growth.
Steph
Company Specialist at Welcome to the Jungle
Insights
10% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Apr 2022
$120m
SERIES E
Mar 2021
$210m
SERIES D
Total funding: $456.6m
Company benefits
- Equity: Hop on the rocketship and have your own stake in Fetch's success with generous equity.
- 401k Match: Fetch matches 100% of the first 4% of your 401(k) contribution.
- People Benefits: Enjoy a competitive suite of ebenfits to promote health for you and your family,. Medical, Dental, and Vision insurance. Flexible Spending Accounts & Health Savings Account, with automatic employer HSA contributions per pay period. Family forming benefit with $10k lifetime stipend.
- Pet Benefits: We know your furry friends are family, too. Pet insurance is fully covered for your first pet.
- Continuing Education: Fetch provides $10,000+/year in education reimbursement support for job-related courses or programs.
- Flexible Paid Time Off: At Fetch, you'll plan your time off as you see fit with our flexible PTO policy. On top of our flexible PTO, Fetch observes 9 paid holidays as well as a year-end-week-long break.
- Robust Leave Policies: Fetch offers generous leave time for health and personal needs, including 20 weeks of parental leave for primary caregivers and 14 weeks for secondary caregivers + $2,000 incentive to assist employees with covering the cost of childcare, clothing, diapers and much more!
- Flexible Work Environment: Experience our beautiful work spaces, or get things done from the comfort of your couch. Choose what's best for each day.
Leadership
Wes Schroll
(Co-Founder & CEO)Co-founded Fetch while an undergrad at UW-Madison and grew the company into the nation's No. 1 rewards app, connecting millions of consumers with their favorite brands.
Tyler Kennedy
(Co-Founder & SVP of Operations)Studied Business Administration at the University of Wisconsin-Madison. Founded his first company, Baker's Marine Services, a yacht detailing company, when they were only fourteen.
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