Staff Solutions Engineer

About the Role

As a 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 our customers to drive the success of our end-to-end integrations. You will utilize a unique skillset at the intersection of data architecture, operations, and predictive analytics to interpret customers business needs into technical design for integration to the Afresh platform. Internally, you'll help lead our integrations cross-functionally and act as the connecting force between our integration technology and customer’s operational reality as we build to an even larger scale.

You have significant 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 establishing technical implementation strategies and specifications for your team. Specifically, you will:

• Lead multiple integration projects concurrently, managing technical delivery across customers while independently scoping novel projects like enhancements to existing integrations or new feature rollouts
• Act as a subject matter expert on Afresh's integration architecture, defining and evolving standards for schema mapping, data contracts, ETL requirements, and documentation structure that enable repeatable, scalable solutions
• Lead technical activities with customers, deeply understanding their IT systems and data outputs and how these map to the Afresh solution
• Lead technical integration delivery across data engineering, product engineering, and data science; identify technical risks, develop mitigation strategies, and drive improvements to completion
• Partner with Engineering and Product to prioritize backlog based on patterns you identify across customer implementations, translating repeat needs into product-aligned solutions
• Drive organizational evolution for the SE team by building tools, templates, and playbooks that improve how SEs deliver work; lead onboarding and enablement programs that level up the team's capabilities
• Represent the SE organization in strategic forums, contributing to roadmap planning and cross-functional initiatives that improve delivery velocity, quality, or customer outcomes
• Balance business and customer needs with technical constraints to get cross-functional consensus on innovative solutions, acting as a consultant and partner to technical teams
• Coach and mentor peer SEs, serving as a thought partner on complex technical problems, stakeholder dynamics, and effective collaboration across functions

Skills and Experience

• Demonstrated ability to manage multiple complex integration projects simultaneously and independently drive end-to-end scoping for ad-hoc or novel technical initiatives
• Track record of building organizational capability—creating reusable frameworks, standards, or enablement programs that improved team execution or scalability
• Experience influencing cross-functional stakeholders (Product, Engineering, GTM) through subject matter expertise and consistent delivery
• This role is ideal for someone who is proficient in internal technical project management, and also excels in client-facing situations
• Candidates must also possess data transformation and design experience, as well as proven abilities to work jointly with data engineers, data scientists, and subject matter experts to manage refinement and implementation of customer integration requirements
• Organizational skills, strong attention to detail, and ability to communicate details across levels and profiles
• Proficiency in SQL, Excel, and other dashboarding tools used in an analyst’s toolkit
• Ability to continuously learn, work independently, and make decisions with minimal supervision to keep projects on track
• Open to travel (up to 10%)

Nice to have:

• Ideally, candidates would have an understanding of AI/ML systems and experience with identifying issues with data inputs used in predictive analysis
• Commercial mindset that allows you to understand and act on what our customers care about most
• Dedication to quality, testing, design processes, automation, and operational excellence
• Strong ability to create clear action plans for cross-functional technical teams