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.

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

USD 168,912 - 253,368

About Afresh Technologies

• 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

Responsibilities

• 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.

Requirements

• You can start before the customer knows exactly what they need
• 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

Preferred

• Grocery, retail, or supply chain experience
• A background as a founder, a product manager, or in customer-facing sales or solutions