Lead Solutions Engineer

Описание вакансии

Afresh is the leading AI company in fresh food—partnering with grocers like Albertsons, Wakefern, Meijer, and Stater Bros to order billions of dollars of fresh food in over 12,000 grocery departments nationwide.

Following record-breaking 70% growth in 2025, we’ve expanded our platform to cover all fresh departments, launched our full store suite, and debuted DC Fresh Buying.

We’re on a mission to eliminate food waste and make fresh food accessible to all. In 2025 alone our software helped save 200M lbs of food waste. 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 the future of fresh, 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 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
• 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
• Independently lead technical discovery and design calls with customers, mapping their workflows and systems to the Afresh platform and drafting detailed design documentation that aligns IT stakeholders and internal Engineering on the proposed ETL design
• 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

Skills and Experience

• 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 manage and implement customer integration requirements
• This role is ideal for someone who is strong in internal technical project management and also excels in client-facing situations
• Strong organizational skills, high attention to detail, and ability to communicate clearly across levels and profiles
• Proficiency in SQL, Excel, and other analytical tools
• Ability to continuously learn, work independently, and make decisions with appropriate escalation to keep projects on track
• 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 work sponsorship.

Salary Range in U.S.: $134,000 - $181,000

About Afresh

Founded in 2017, Afresh is working on the #1 solution to curb climate change: reducing food waste. By combining human insight and transformative technology, we're helping grocers provide fresher food to customers at more affordable prices.

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 we've raised over $148 million in funding from investors including former co-CEO of Whole Foods Market Walter Robb and Eric Schmidt's Innovation Endeavors.

Fresh 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.