Top Tech Jobs & Startup Jobs

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.

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.

Deploy and build Afresh's AI platform: embed with customers to integrate data and ship production LLM/agent systems, then harden field learnings into reusable platform components, tooling, and observability to improve quality and scale.

Embed with grocery customers to scope, integrate, and deploy production LLM- and agent-powered systems. Build and harden platform components (knowledge graph/ontology, retrieval, agent frameworks, serving, evals, and observability) so field learnings become reusable tooling. Balance customer-facing implementation with platform engineering to enable scalable, reliable AI in production.

Lead R&D to design, implement, and deploy ML and optimization solutions for perishable inventory control and multi-echelon replenishment. Model demand, perishability, and supply uncertainty, drive research-to-production changes, mentor team members, and improve decision-making to reduce food waste.

Own FP&A for a high-growth AI grocery startup: build and run forecasting, budgeting, and long-range plans; analyze variances; develop KPIs and dashboards; partner cross-functionally; prepare board-quality analysis; model scenarios for strategic decisions; and drive AI-enabled process improvements.

Lead Afresh's demand generation strategy across paid media, ABM/ABX, email, events, and webinars. Build account-driven programs, manage event execution, partner with Sales and PMM, evolve the AI-native marketing stack, define KPIs, and deliver full-funnel reporting that connects HubSpot, Salesforce, and the website to pipeline outcomes.

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.