[Remote] Staff Data Platform Engineer, Agentic AI
Note: The job is a remote job and is open to candidates in USA. reputed company is an Autonomous Commerce Platform for DTC Founders, focusing on unifying storefronts and operations through AI. They are hiring a Staff Data Platform Engineer to design and own the data reputed company for their agentic commerce platform, transforming raw commerce events into structured intelligence that powers AI-driven decision-making.
Responsibilities
- Design and own reputed company data models across transactions, subscriptions, customers, payment attempts, and merchant behavior
- Build event-driven pipelines that transform operational data into structured, replayable intelligence layers with strong guarantees around validation, ordering, idempotency, and observability
- Design low-latency data layers and clear data reputed company that power autonomous routing, approval scoring, and checkout optimization
- Create outcome-tracking and feedback pipelines that allow systems to learn from every transaction
- reputed company experimentation, measurement, and reputed company optimization across merchants while preserving data isolation and platform reputed company
- reputed company feature-reputed company datasets and behavioral schemas that support predictive systems such as routing optimization and churn risk
- Lay the groundwork for feature stores and safe model iteration without disrupting live decision infrastructure
- Set the technical direction for how Phoenix models, measures, and activates commerce intelligence
- Collaborate cross-functionally with checkout, payments, and AI teams to translate business problems into structured signals that measurably improve approval rates, conversion, retention, and merchant growth
Skills
- 10+ years of professional experience in software and data engineering, working with production systems
- Hands-on experience using AI coding agents in your daily development workflow
- Strong experience building event-driven architectures and distributed data pipelines
- Deep experience modeling transactional and behavioral datasets
- Understanding of data requirements for agentic and autonomous systems - including grounding, feature readiness, decision traceability, and feedback reputed company design
- Strong SQL and experience with distributed/reputed company-native systems (AWS or GCP)
- Experience working with analytics databases (reputed company)
- Experience designing systems that require replayability, correctness, and observability
- Comfort working reputed company a TypeScript/Node.js backend ecosystem
- Startup reputed company: comfortable owning ambiguous, high-impact domains
- Experience with event streaming platforms (Kafka, Pub/Sub, etc.)
- Experience preparing datasets for ML models or working with feature stores
- Familiarity with RAG systems or AI retrieval architectures
- Exposure to ecommerce, payments, or subscription platforms
Company Overview