Senior Support Engineer I

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. 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. As a Principal Support Engineer at Afresh, you are the person who understands how our platform actually behaves for our grocery partners. You have deep technical support, solutions, or data engineering experience, you communicate with equal clarity to a store director and a staff engineer, and you are excited to reduce fresh food waste in the grocery industry. Support Engineering is the complex technical investigation arm of our Support organization — the last stop for internal escalations to resolve customer-facing problems across all Afresh products. quantifying impact, building tooling and agentic AI workflows to deflect future volume, and then proactively driving the cross-functional efforts to eliminate the root cause. You will be handed goals rather than tasks and you are expected to quickly and autonomously develop deep expertise across our products and the complex data relationships behind them. You will own and lead initiatives from end to end, building influence and alignment with other teams to achieve your goals. A typical week might involve building an agentic AI support workflow in Stylo, shipping a Claude skill that lets Tier 1 Support resolve issues with a new product feature, coordinating a team-wide investigation of data issues across 200 products, and then presenting the root cause analysis and measured impact of that investigation to Product and Data Engineering leadership. Own our most complex escalations end to end — data mapping defects, recommendation and forecast anomalies, and integration or data-feed failures Build the tooling that removes the work — SQL and Python, Databricks and Looker dashboards and notebooks, Stylo workflows, Claude and Cowork skills, and lightweight automations that take manual effort off Tier 1 Support and Operations Drive cross-functional change with teams that don't report to you, partnering with Solutions Engineering, Data Engineering, Product Engineering, and Operations to fix the systems generating ticket volume — securing shared ownership, holding regular communication cadence, and raising flags visibly when progress stalls Multiply the team rather than absorb its hardest work: mentor Tier 1 and Tier 2 engineers, lead training, and write the playbooks and source-of-truth documentation that let others resolve what only you can resolve today Be visible outside Support — present in Tech Demos, post data-driven updates in company-wide channels, join account reviews, and represent Support in cross-functional forums Master partner-specific behavior across our retailers and their banners, and serve as the escalation point when a judgment call needs to reach Product, Engineering, or the customer directly 5+ years in technical support engineering, solutions engineering, data engineering, or a comparable role where you personally owned root-cause analysis on production data

• Advanced SQL. Demonstrated ability to own complex cross-functional initiatives end to end and land them — including the uncomfortable parts: securing commitments from other teams, absorbing friction, and driving to a decision
• Proficiency building with AI tools such as Claude or other agentic platforms, paired with sound judgment about where automation can be trusted and where it cannot
• Scripting ability in Python or similar to automate investigation and data work
• Clear, calm written communication, and the instinct to teach rather than correct when helping less experienced teammates
• Comfort with ambiguity and a bias toward shipping an imperfect, iterative solution over waiting for a complete one
• Grocery, retail, or supply chain domain knowledge — hands-on familiarity with ordering, replenishment, assortment, or fresh department operations is a significant advantage

Experience with Databricks, Zendesk, Stylo, or workflow automation platforms Experience supporting ML-driven products, and the ability to distinguish whether an anomaly originates in data inputs, model behavior, or application logic S.: $130k to $195k + meaningful early stage equity & benefits 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.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. Every employee receives an annual professional development budget to master new skills and grow their career at Afresh. Flexible paid time off to take the time you need to recharge. * Full-time U.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. 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: