7 hours ago
Responsibilities
- Develop services and workflows for audience definition, identity and attribute enrichment, population scoring, membership validation, segment refreshes, and partner delivery.
- Operationalize predictive and lookalike models with repeatable training, evaluation, deployment, batch-scoring, comparison, and refresh workflows.
- Integrate identity mappings and partner-specific delivery requirements while monitoring audience coverage and diagnosing delivery losses.
- Implement versioning, monitoring, quality checks, safe retries, corrections, access controls, and data-use restrictions.
- Shape the audience engineering roadmap, make architecture and build-versus-reuse decisions, and guide engineers through delivery.
- Collaborate with Data Science, Product, Data Platform, core ingestion, storage, orchestration, and governance teams.
Requirements
- 12+ years of professional software engineering experience, including ownership of data-intensive products from design through production adoption.
- Strong coding, API design, data modeling, and distributed-systems skills.
- Experience operationalizing ML or predictive systems, including data dependencies, evaluation workflows, deployment, batch scoring, and monitoring.
- Experience setting technical direction, aligning teams on architecture and priorities, and leading complex initiatives from ambiguity through production adoption.
- Experience making and evolving production architecture decisions while balancing delivery, reliability, scalability, cost, and maintainability.
- Ability to explain technical tradeoffs, build cross-team agreement, and resolve dependencies and ownership boundaries.
- Experience mentoring engineers through design reviews, technical standards, and decomposition of complex initiatives.
- Track record of delivering measurable outcomes and using production results to guide improvements.
- Experience with identity resolution, audience activation, adtech, or partner data integrations.
Benefits
- Full-time position available from a US office or remotely within the United States.
- Competitive compensation package including base compensation, equity, and benefits.
Categories
About Fetch
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.