Staff Forward Deployed Engineer

Join Afresh, a company revolutionizing the grocery industry with AI technology. As a Staff Forward Deployed Engineer, you will be the technical lead on customer deployments, working closely with a Deployment Strategist. You will design and build solutions on Afresh's platform, get them running in the customer's environment, and iterate based on user feedback. This role offers a high degree of ownership and autonomy, with the opportunity to make a significant impact on the grocery industry.

• Travailler en étroite collaboration avec les équipes commerciales et techniques des clients pour transformer des objectifs larges en problèmes spécifiques et définis.
• Concevoir et construire des solutions sur la plateforme d'Afresh, y compris les pipelines de données, les intégrations, les agents, les flux de travail et les applications orientées utilisateur.
• Assurer le déploiement réussi des solutions dans l'environnement du client, en collaborant avec leurs ingénieurs et notre équipe de plateforme sur l'infrastructure.

• You can start before the customer knows exactly what they need
• You like owning a customer's result from the first call through rollout
• You want to see people use what you built
• You move fast and finish what you start
• We encourage all highly qualified candidates to apply, even if they don't meet every point below
• You can take a vague problem, ask good questions, and turn it into a plan someone will sign off on
• AI-native: You use AI tools to build more effectively and have shipped an AI-enabled product or workflow. You understand where these systems are useful, how they fail, and how to evaluate their quality
• You're comfortable traveling to customer sites regularly (~10–20%)
• Customer-facing delivery experience: consulting, forward-deployed, solutions, or implementation work where you sat with a client, worked out what they needed, and delivered it. You're an engineer who can run the customer conversation, then go build what came out of it
• You learn unfamiliar systems quickly, whether that's a grocer's ERP, their merchandising tools, or their data warehouse
• You can explain a technical tradeoff to an engineer and to a VP of store operations
• 4+ years of experience building software professionally, with real depth in at least one area: backend or full-stack engineering, data engineering, data science, or AI engineering. You need one you're strong in, and the appetite to work across the rest
• Data engineering on a cloud data platform. We run on Databricks and Azure, with PySpark and dbt
• Experience leading other engineers through design reviews, standards, or mentorship
• Knowledge graphs, semantic layers, or retrieval systems in production
• LLM or agent systems shipped to production, with a way to measure their quality
• Grocery, retail, or supply chain experience
• A background as a founder, a product manager, or in customer-facing sales or solutions