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Lead design and implementation of large-scale ETLs and data integrations for Distribution Center products using PySpark and DBT. Define DC data architecture, mentor engineers, manage contractors, and collaborate with product and applied science teams to improve onboarding, data quality, tooling, and scalability to power machine learning solutions.

Technical lead on the Distribution Center data team building and scaling ETLs and data integrations using PySpark and DBT. Design robust pipelines to process large customer datasets, improve onboarding tooling, mentor engineers, manage contractors, and collaborate cross-functionally to support ML-driven grocery solutions.

Lead architecture and implementation of scalable data systems and pipelines from ingestion to delivery. Own ambiguous, high-impact integrations, improve data quality and reliability, adopt AI-augmented engineering, mentor engineers, and collaborate with Product, ML, and customer teams to ship production solutions.

Owner of enterprise demand generation: set channel strategy across paid, email, lifecycle, ABM/ABX, events, and webinars; run end-to-end campaigns in HubSpot, LinkedIn, and Google; partner with Sales, PMM, and RevOps to connect HubSpot, Salesforce, and website for full-funnel reporting; manage event execution and an event coordinator; evolve AI-native stack, lead signal-based automation, and report performance with actionable insights to drive pipeline.

Lead end-to-end integrations between customers and Afresh by scoping, designing, and delivering data interfaces that power ML models. Run technical discovery, document integration specifications, analyze and validate complex data, coordinate stakeholders, and collaborate with data engineering, product, and data science. Mentor junior teammates and improve integration processes to ensure on-time delivery and operational success.

As an Enterprise Account Executive at Afresh, you will manage strategic sales for large grocers, building relationships, guiding through the sales process, and collaborating with internal teams to enhance customer experience.

Build and operate Afresh's AI platform: knowledge graph and retrieval systems, LLM-powered agents and serving infrastructure, evaluation/observability, and Databricks-based pipelines to turn grocery data into production-quality model context.

Lead Afresh's accounting function: own month-end close, financial reporting, audit readiness, and ASC 606 revenue recognition. Build and mentor a small accounting team, modernize AP/AR/expense workflows using AI and automation, manage payroll/tax/treasury, and ensure U.S. GAAP compliance. Deliver timely financial insights and partner with Finance, People, Legal, and business leaders.

Own end-to-end UX for a web-based enterprise ordering portal, converting AI-driven forecasts into actionable workflows. Design dashboards, exception workflows, agentic/conversational experiences, shared portal services (admin, permissions), and reusable components. Partner with product, ML, and engineering to ship product improvements that reduce food waste and drive business value.

Build Afresh's AI platform: design knowledge graphs and retrieval (vector/graph/structured), develop LLM-powered agents and serving infrastructure, own evaluation/observability, and productionize pipelines and data products on Databricks/MLflow to provide reliable, low-latency context for models.