Senior Forward Deployed Engineer

Afresh, the AI platform for grocery, began by tackling the most complex problem in the industry: fresh, and has evolved into the core AI platform for grocers. By leveraging proprietary AI designed for high-volatility environments, we empower partners like Albertsons, Meijer, and Wakefern to drive smarter decisions across their entire enterprise. Following record-breaking 70% revenue growth in 2025, we have scaled to 6 enterprise-grade solutions, with solutions live in over 10% of the U.S. grocery market. Our platform now orchestrates billions of decisions from the store floor to the distribution center and prevented over 200 million pounds of food waste last year alone. If you're looking for a role where your work directly translates into massive scale and social good, and you want to be part of the team that defines how the world eats, there is no better time to join us. Location: San Francisco, CA (hybrid, 3 days/week onsite preferred) or Remote in approved U.S. states. Why This Is a Founding Role Grocery is overdue for better software. Afresh has the industry expertise, data, and technology to build it. We’ve created a dedicated team to turn those advantages into products that replace manual work and help grocers make faster, better decisions. You'll be one of our first dedicated FDEs. How you run your deployments becomes the playbook for the FDEs who come after you. You and a Deployment Strategist own a customer together. Nobody hands you a spec. You work out what the problem is, decide what to build and what to skip, ship it, and own whether it worked. It’s a co-founder lead team, alongside engineers who have built AI companies and shipped products at Meta, Google, and OpenAI. We measure on outcomes. On one deployment, setting up a new product went from four hours of manual work to minutes. The team is growing fast and you get to help determine the shape of it. About the Role Afresh's AI already runs fresh ordering and inventory for many of the largest grocers in the US. Now we're applying that foundation to more of the business—building workflows and applications that automate manual work, surface the right information at the right time, and help teams make better decisions. As a Forward Deployed Engineer, you're the technical lead on a customer deployment. You work in a small pod with a Deployment Strategist. They own the account, the project management, and the commercial side. You own the technical side: working out with the customer what to build, designing it, building it, and getting it into production. Success is measured on the customer's outcome (hours saved, waste cut, better decisions). Most of your week is hands-on building, roughly three-quarters. The rest is with the customer: discovery sessions, working sessions with their engineers, and demos of what you just shipped. The best deployments come from engineers who heard the problem firsthand. You build on a shared platform that our AI Platform team owns: the data and context layer, the agent framework, and the tooling to deploy them. You don't start from scratch at each customer. When you uncover a gap or an opportunity in the field, you help turn it into a platform improvement—sometimes by making the change yourself, sometimes in partnership with the AI Platform team. What you learn with one customer can make every deployment that follows better. This is 0-to-1 work for engineers with a high degree of ownership and autonomy: you build ground-up solutions for customers and see them through to impact. It’s a fast-paced environment—a pilot takes a week or two, a rollout takes two to three months, and then you move on to the next customer, carrying what you learned forward. What You'll Do Discover Work with the customer's business and technical teams, up to their leadership, to turn a broad goal like "cut shrink in produce" into a scoped problem. Who will use it? What data exists? What does done look like? What won't we build? Find what the customer isn't telling you. That might be data that doesn't exist, a process that lives in one person's spreadsheet, or a security review that will take six weeks. Push back when what they're asking for won't get them the result they want. Build Design and build the solution on Afresh's platform: data pipelines, integrations, agents, workflows, and user-facing applications. Get a working pilot in front of the people who will use it, fast. Deploy Get it running in the customer's environment, working with their engineers and our platform team on the infrastructure. Watch how people actually use it, check that its answers are right, and iterate until it's part of how they work. Learn and improve Bring what you learned back to the platform. Work with the platform team to decide what becomes part of the platform and what stays custom, so the next deployment needs less custom work. You'll Do Well Here If You like owning a customer's result from the first call through rollout. You can start before the customer knows exactly what they need. You want to see people use what you built. This Probably Isn't for You If You want a spec before you start. You want to go deep on one specialty and stay there. You'd rather not talk to customers. About a quarter of the job is time with them, and that time decides what you build. What Makes You a Great Fit We encourage all highly qualified candidates to apply, even if they don't meet every point below. 2+ years of eperience 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. 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 can take a vague problem, ask good questions, and turn it into a plan someone will sign off on. You can explain a technical tradeoff to an engineer and to a VP of store operations. You learn unfamiliar systems quickly, whether that's a grocer's ERP, their merchandising tools, or their data warehouse. 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 move fast and finish what you start. You're comfortable traveling to customer sites regularly (~10–20%). Nice to Have Data engineering on a cloud data platform. We run on Databricks and Azure, with PySpark and dbt. LLM or agent systems shipped to production, with a way to measure their quality. Grocery, retail, or supply chain experience. Knowledge graphs, semantic layers, or retrieval systems in production. Experience leading other engineers through design reviews, standards, or mentorship. A background as a founder, a product manager, or in customer-facing sales or solutions. This position is not eligible for company sponsorship. Salary Range in U.S.: $156,060 - $211,140 + meaningful early-stage equity + benefits Why You’ll Love Working at Afresh At Afresh, our mission to eliminate food waste starts with investing in our people. We provide a comprehensive support system designed to help you do your best work while maintaining a healthy, balanced life. Comprehensive Health & Wellness: Comprehensive medical, dental, and vision coverage for you and your family, with the majority of premiums covered by Afresh. We also provide dedicated mental health support and counseling services. Invested in Your Future: Competitive base salary, meaningful equity (U.S. employees), and a 401(k) program with a generous company match. Flexible & Modern Workspace: Whether you work from home or a local office, we support your setup with a home office stipend and "Coworking Wallets" for flexible workspace access. Growth-Obsessed Culture: We believe in continuous learning. Every employee receives an annual professional development budget to master new skills and grow their career at Afresh. Holistic Monthly Stipends: Beyond your paycheck, we provide monthly stipends for "Betterment" (wellness/lifestyle) and telecommunications to ensure you have what you need to thrive. Time to Recharge: Flexible paid time off to take the time you need to recharge. *Full-time U.S. employees are eligible for these benefits About Afresh Founded in 2017, Afresh is using AI to tackle the #1 solution to curb climate change: reducing food waste. By building AI specifically for the intricacies of grocery—from the fresh perimeter to the center store—we help grocers minimize waste and maximize sales. Afresh sits at an incredible intersection of positive social impact, rocket ship financial growth, and cutting-edge technology. Our best-in-class AI research has been published in top journals, including ICML, and our investors include Al Gore’s Just Climate, former Whole Foods Market CEO Walter Robb, and Eric Schmidt's Innovation Endeavors. Grocery is the past, present, and future of our food system – the waste we create today will impact our planet for years to come. Join us as we continue to build a vibrant, diverse, and inclusive team that embodies our company’s values of proactivity, kindness, candor, and humility. Afresh provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity/expression, marital status, pregnancy or related condition, or any other basis protected by law. Here at Afresh, many of our employees work remotely provided that they reside in one of the following states: AL, AR, CA, CO, FL, GA, IL, KY, MA, MI, MT, MO, NV, NJ, NY, NC, OR, PA, TX, WA, UT, VA, WI.