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
As a Lead Solutions Engineer at Afresh, you will work directly with our grocery retail partners and Afresh colleagues to deploy our purpose-built fresh food solution and bring tangible, lasting impact to our partners.
Externally, you will build effective partnerships with customers to drive the success of end-to-end integrations. You will apply a skillset at the intersection of data architecture, operations, and predictive analytics to translate customers' business needs into technical design for integration to the Afresh platform. Internally, you'll collaborate cross-functionally and act as a connecting force between our integration technology and customers' operational reality.
You have experience managing customer relationships and leading technical projects in fast-paced environments. You are excited to reduce fresh food waste in the grocery industry, and help the planet in the process!
What You'll Do
A typical day might involve discussing data architecture with engineers, digging into customer data, and developing technical implementation strategies and specifications. Specifically, you will:
- Own and execute integration projects from customer discovery through go-live — creating detailed project plans with milestones, risk mitigation, and success criteria, and coordinating internal and customer-facing stakeholders through each phase
- Lead technical discovery and design engagements with customers, including multi-day on-sites where you independently scope 10–15 data interfaces, negotiate delivery timelines and formats, and leave with documented data integration specifications that power ML model training and deployment
- Apply deep knowledge of Afresh's core data model and integration patterns to evaluate whether customer needs can be met through standard approaches; flag misalignments and propose adjustments to design or the customer's approach
- Analyze complex data relationships, identify root causes of mismatches or anomalies, and build custom queries or lightweight tools to streamline validation and data mapping work
- Collaborate with data engineering, product engineering, and data science to drive integration delivery; surface technical risks and ambiguities early and work cross-functionally to resolve them
- Influence internal discussions with thoughtful input and context from customer needs; share learnings across Product, Sales, and Customer Success
- Contribute to team documentation, templates, and onboarding content; mentor junior team members and take initiative on process improvements
What Will Make You a Great Fit
- Demonstrated ability to independently own and execute complex integration projects end-to-end, including scoping, stakeholder coordination, and on-time delivery
- Experience leading technical discovery and solution design with customer IT stakeholders, including drafting design documentation and guiding customers through technical trade-offs
- Data transformation and design experience, with proven ability to work alongside data engineers, data scientists, and subject matter experts to implement customer integration requirements
- Strong attention to detail and ability to communicate clearly across technical and non-technical audiences
- Proficiency in SQL, Excel, and other analytical tools
- Open to travel (up to 10%)
Nice to Have
- Experience with AI/ML systems and identifying issues with data inputs used in predictive analysis
- Commercial mindset that allows you to understand and act on what customers care about most
- Dedication to quality, testing, design processes, automation, and operational excellence
This position is not eligible for company sponsorship.
Salary Range in U.S.: $134,000 - $181,000 + 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.
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.
Skills Required
- Own and execute integration projects end-to-end, including scoping, project plans, milestones, risk mitigation, and stakeholder coordination
- Lead technical discovery and solution design with customer IT stakeholders and produce documented data integration specifications
- Data transformation and design experience; work alongside data engineers and data scientists to implement integration requirements
- Proficiency in SQL
- Proficiency in Excel and other analytical tools
- Experience managing customer relationships and leading technical projects in fast-paced environments
- Strong attention to detail and ability to communicate clearly across technical and non-technical audiences
- Open to travel up to 10%
- Experience with AI/ML systems and identifying issues with data inputs used in predictive analysis
- Commercial mindset and ability to understand customer priorities
- Dedication to quality, testing, design processes, automation, and operational excellence
- Mentor junior team members and contribute to team documentation and process improvements
What We Do
Afresh has built the first Fresh Operating System—a solution created specifically for fresh inventory, forecasting, ordering, and grocery store operations. Our approach blends fresh-first AI and human insight to drive profits for grocers, provide fresher food for people, and improve sustainability in the fresh supply chain. Explore the impact fresh-first tech has on curbing climate change at afresh.com/impact.
Why Work With Us
At Afresh, our commitment to our communities extends beyond products and technologies: we want to create a workplace and culture that values diversity—where anyone can make an impact by embracing and celebrating their fully authentic selves.
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