Staff Data Platform Engineer, Agentic AI

• Job Title: Staff Data Platform Engineer, Agentic AI
• Location: Remote (US)
• About Phoenix
• Phoenix is the Autonomous Commerce Platform for DTC Founders. We unify storefronts, checkout, payments, and operations into one platform where AI agents handle the operational grind and merchants focus on growth.

• We set out to build the "Shopify of Direct Response" and along the way recognized something bigger. Direct response is roughly a third of all ecommerce transactions, a trillion-dollar market chronically overlooked by Silicon Valley. The merchants who run it are obsessive about tooling
• .They live and die by velocity, conversion, and margin. They have no brand moats. They only compete on operations, which is exactly what makes them ripe for agentic disruption and the earliest, fastest adopters of AI agents in commerce

• .
• That insight reframed Phoenix from "the Shopify of DR" to the AI Agent Platform for DTC Founder

• s.
• This is a category-defining bet, and we are running at it from a position of streng

• th.
• Where We Are T
• oday8-figure ARR growing 100%+
• YoYStrong unit economics and efficient gr
• owthRapid merchant adoption and expanding market pres
• enceBacked by experienced operators and investors with a history of building and scaling successful busine

• sses
• Wh
• y NowThree things make this an inflection p
• oint:Product-market fit is established. Demand continues to grow, merchant adoption is accelerating, and Phoenix is outperforming expectat
• ions.There is an opportunity to define a category. While many companies are building AI tools for commerce, few are focused on helping sophisticated DTC operators automate revenue-generating decisions at s
• cale.Our customers are AI-ready. They adopt technology quickly when it drives measurable business outcomes, creating an ideal environment for agentic prod

• ucts.
• The
• Role We are hiring a Staff AI Data Engineer to design and own the data foundation behind Phoenix’s agentic commerce pla
• tform.This role is responsible for turning raw commerce events - transactions, payment attempts, subscriptions, funnels, merchant actions - into structured, decision-grade intelligence that p
• owers:Autonomous payment r
• outingApproval probability s
• coringCheckout optimization
• agentsMerchant copilots grounded in rea
• l dataFuture predictive and adaptive s

• ystems
• This is not analytics. This is production decision infrastr
• ucture.You will architect the event models, pipelines, and data contracts that allow AI agents to observe, reason, act, and improve in real time. You will design for low latency, high correctness, replay ability, and observability because autonomous systems cannot rely on fragil
• e data.This role sits at the center of platform, payments, and AI - defining how intelligence is embedded into core commerce behavior and how Phoenix’s systems learn from every transaction to continuously improve merchant perfo

• rmance.
• What You
• ’ll Own Build the AI Da
• ta LayerDesign and own canonical 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 observ
• ability.Power Real-Time Decision
• SystemsDesign low-latency data layers and clear data contracts that power autonomous routing, approval scoring, and checkout optimization. Ensure decision traceability and correctness so AI agents can operate safely in production commerc
• e flows.Build Closed-Loop Feedback
• SystemsCreate outcome-tracking and feedback pipelines that allow systems to learn from every transaction. Enable experimentation, measurement, and continuous optimization across merchants while preserving data isolation and platform in
• tegrity.Prepare the Platform for Ada
• ptive MLDevelop feature-ready 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 infrast
• ructure.Drive Business Impact Through Data
• StrategySet 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.
• What we’re loo
• king for 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 p
• ipelines.Deep experience modeling transactional and behavioral
• datasets.Understanding of data requirements for agentic and autonomous systems - including grounding, feature readiness, decision traceability, and feedback loo
• p design.Strong SQL and experience with distributed/cloud-native systems (AWS
• or GCP).Experience working with analytics databases (Cli
• ckHouse).Experience designing systems that require replayability, correctness, and obser
• vability.Comfort working within a TypeScript/Node.js backend e
• cosystem.Startup mindset: comfortable owning ambiguous, high-impact
• domains.Experience with event streaming platforms (Kafka, Pub/Su
• b, etc.).Experience preparing datasets for ML models or working with featur
• e stores.Familiarity with RAG systems or AI retrieval archi
• tectures.Exposure to ecommerce, payments, or subscription p

• latforms.
• Leadership Trait
• s We ValueHigh
• ownershipDe
• cisivenessStrong recruiting and talent development ca
• pabilitiesAcco
• untabilityProduc
• t judgmentCalm unde
• r pressureBuilder

• mental
• ity
• CultureThese are the values that guide how
• we operate:All In to Win — Operate with urgency and a relentless focus on
• excellence.A Players Only — Build and maintain exceptional tale
• nt density.Merchant First — Every decision is measured by merch
• ant impact.Entrepreneurial Spirit — Move quickly, stay resourceful, and take
• ownership.No Ego — The best ideas win regardless of title

or tenure.