Senior Forward Deployed Engineer
Quick Summary
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,
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, 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.
About the Role
~1 min read- 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.
- 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.
- 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.
- 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 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.
- 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.
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
~1 min read- 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.
Salary Range in U.S.: $156,060 - $211,140 + 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.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.
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.
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.
Location & Eligibility
About this job
- Pay per year
- $156,060–$211,140 a year
- 5% below the $192,500 median for Software Engineer jobs on Jobera (6,262 salaries).
- Who can apply
- United States
- Posted
- 104 days ago
Listing Details
- Posted
- July 9, 2026
- First seen
- July 9, 2026
- Last seen
- October 22, 2026
Posting Health
- Days active
- 104
- Repost count
- 0
- Trust Level
- 43%
- Scored at
- October 22, 2026
Signal breakdown
Afresh is a technology company that develops AI-powered solutions for grocery retailers to optimize their fresh food supply chain, reduce waste, and increase profitability.
View company profileSimilar Software Engineer jobs
View all →Browse Similar Jobs
Stay ahead of the market
Get the latest job openings, salary trends, and hiring insights delivered to your inbox every week.
No spam. Unsubscribe at any time.
