Lead Solutions Engineer, Afresh

• 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%)

Desirable

• 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!
• 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 for 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