Afresh

• Own the standards for how we develop, test, and release code across our web platform. You'll lead collaboration across multiple teams, establishing practices that keep our systems secure and reliable while raising the bar for code quality and usability across the organization. • Build and evolve Afresh's Corporate Hub—the web platform that gives corporate stakeholders visibility into store-level ordering performance and centralized control over replenishment configurations, display policies, and ordering strategy at scale. • Partner with Product, Design, Account Management, Support, Operations and peer engineering teams to deliver integrated solutions that serve client needs. • Contribute to the vision of the next generation Ordering product and its supporting systems. • Step into a mentorship role to guide junior/mid-level engineers, foster technical growth, and conduct thoughtful, constructive code reviews.

• Build and ship high-quality applications to optimize in-store operations and decision-making. • Support thousands of grocery stores on their critical fresh food supply chains across the US. • Partner with product managers, designers, and our users to deliver a great product experience. • Participate in and provide meaningful feedback about major design choices. • Build out our analytics and monitoring/observability to understand our system behavior and make informed decisions. • Ensure the quality of our software via automated tests. • Design and build UIs, APIs, and solutions that are reusable and extensible. • Work alongside machine learning specialists to drive new feature development. • Readiness to step into a mentorship role to guide junior engineers and contribute to the team's growth.

• Elevate core ML platform performance, reliability, and scalability. • Work on infrastructure enabling ML and Applied Science teams to innovate faster and deliver impact. • Deliver features related to model configuration, integration testing, and real-time inference. • Own significant scalability improvements and additions to the ML platform.

• Work directly with prospects and customers to credibly communicate product differentiation, value, and technical functionality • Lead operational and technical discovery to understand our customers’ business and map their needs to the Afresh solution • Collaborate closely with Sales Directors and Account Managers on deal strategy, risks, and opportunities • Consistently collate, deliver, and discuss product feedback from the field to our Product and Engineering teams • Collaborate with Product Marketing to support new messaging/positioning and launch new products and enablement resources • Maintain a deep understanding of competitive and complementary technologies and vendors, and how to position Afresh in relation to them • Be a technical expert on all aspects of Afresh • Document learnings extensively to engage and educate others

• Build and ship high quality applications to optimize in store operations and decision making. • Collaborate with your engineering teammates to support thousands of grocery stores critical fresh food supply chains across the US. • Working closely with product managers, designers, and our users, deliver great product experiences across the iPad, the web front-end, API, and data layers. • Participate in and provide meaningful feedback about major design choices. • Build out our analytics and monitoring/observability to understand our system behavior and make informed decisions. • Ensure the quality of our software via automated tests • Design and build UIs, APIs, and solutions that are reusable and extensible. • Work alongside machine learning specialists to drive new feature development.

Role Description Build and ship high quality applications to optimize in store operations and decision making. - Collaborate with your engineering teammates to support thousands of grocery stores critical fresh food supply chains across the US. - Working closely with product managers, designers, and our users, deliver great product experiences across the iPad, the web front-end, API, and data layers. - Participate in and provide meaningful feedback about major design choices. - Build out our analytics and monitoring/observability to understand our system behavior and make informed decisions. - Ensure the quality of our software via automated tests. - Design and build UIs, APIs, and solutions that are reusable and extensible. - Work alongside machine learning specialists to drive new feature development. Qualifications - BS in Computer Science or equivalent experience. - 2+ years experience with full-stack web development, including some web front-end and API development. - Experience building & maintaining production level APIs and applications. - Collaborative attitude while also being highly self-directed. - Strong problem solving skills and excitement to tackle hard problems. - Enjoy working in a fast-paced, startup environment. - Required skills: TypeScript (or Javascript), React, and Python. - Nice-to-have skills: PostgreSQL, GraphQL, Databricks, DBT, Terraform/OpenTofu, Azure, pair programming, test-driven development. Requirements - This position is not eligible for company sponsorship. - Salary Range in Canada: $136,000 - $205,000 (CAD). Company Description 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. - 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.

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 Join the Ordering Pod as a Senior Software Engineer to own the development of our high-revenue, flagship AI ordering product. This is a pivotal role where you will be empowered to define the architectural roadmap for our next-generation systems and tackle challenging engineering problems that directly enable our business expansion. What You’ll Do - Lead the design, building, and deploy highly scalable and robust APIs, making critical architectural decisions that shape our platform. - Partner with Product, Account Management**, and peer engineering teams** to deliver integrated solutions that serve client needs. - Contribute to the vision of the next generation Ordering product, while also support our current iPad solution. - Enforce best practices for testing and releases to maintain high standards of system reliability. Skills and Experience - BS in Computer Science or equivalent experience - 4+ years of software development experience. - A strong desire to learn and master new technologies to meet the evolving needs of the platform. - Proven ability to lead and drive projects through the entire development lifecycle, from conception to launch, with a high degree of autonomy. - Readiness to step into a mentorship role to guide junior engineers and contribute to the team's growth. - Being curious about complex systems, including a desire to understand our intricate business domain and dependencies outside the team's direct ownership. - A strong team player who understands that we succeed (and learn) together.. In the spirit of that, you actively participate in team ceremonies, swarm with engineers and perform that doing timely and constructive code reviews. Nice to Have - You have worked in with an Agile software delivery cycle before. - You have leveraged modern AI-powered tools to accelerate development and enhance your workflow - You have experience in Typescript and cloud technologies in general and Azure specifically. We encourage all highly-qualified candidates to apply, even if they don’t meet every listed qualification. This position is not eligible for company sponsorship. Salary Range in Canada: $137,000 – $185,000 (CAD) 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.

• Build relationships and collaborate with business leaders, hiring managers, and HR colleagues to identify hiring needs, refine job descriptions , and develop talent acquisition strategies for openings at all levels. • Serve as a candid advisor to hiring managers to define roles and ideal profiles—including raising the bar on expectations and pushing back on requirements that are unrealistic or that will unnecessarily constrain the pipeline. • Recruit for open roles leveraging a full range of sourcing channels including referrals, internal employees, Linkedin Recruiter, and the latest AI recruitment tooling. You engage passive talent where they actually live including looking at GitHub profile reviews, Stack Overflow contributions, niche Slack communities, and Discord servers. • Plan and execute full-cycle recruiting. Manage the end-to-end recruiting process for technical positions, from sourcing and screening to interviewing and extending and closing offers. Ensure a smooth, efficient, communicative, and positive experience for all candidates. • Ensure hiring with excellence by conducting discovery calls with candidates for alignment on compensation requirements to ensure successful offer acceptance and ultimate hire. • Create exceptional candidate and hiring manager experiences by identifying and anticipating needs, following issues to closure, and collaborating with key stakeholders and exceeding expectations. • Be excited about AI tooling & the impact AI can have in identifying talent and streamlining the recruitment workflow; test new theories & ideas, and try new AI technology. • Ideal candidate can seamlessly pivot between technical roles (Software Engineering, Data Science, Product) and GTM roles (Sales, Marketing, Account Management). • Own our ATS (Greenhouse). You will ensure data integrity, optimize workflows, and use the platform to provide transparent reporting to stakeholders. • Must be analytics driven, building reports for the executive team on pipeline health, time-to-fill, offer acceptance rate, and cost-per-hire. • Ensure all job postings and hiring practices remain compliant with local and federal labor laws in partnership with HR. • Deliver Process Excellence. Facilitate interview debriefs, drive decision-making, and maintain a high bar for candidate experience. • All other duties and projects, as assigned.

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 We're looking for a Senior Product Manager to lead our Data & AI product initiatives—the engine that powers Afresh's competitive advantage. Data is one of our key differentiators, directly impacting the success of our applied science and customer experience You'll lead 2-3 active customer integrations end-to-end, working hands-on with our data teams to identify bottlenecks, brainstorm solutions, and explore how AI tools can dramatically reduce integration time and improve our integration capabilities. These real-world integration experiences will directly inform your product strategy and enable you to build solutions that matter. You'll have the opportunity to explore and build new products that further differentiate our data platform and integration ability. Specifically, you'll lead the 0 to 1 build out of two new data products that productize our data capabilities and unlock new value for customers. You'll leverage AI throughout—from AI-powered debugging tools that help customers self-resolve issues, to AI-assisted integration development that accelerates our delivery, to intelligent data quality monitoring that proactively identifies and diagnoses problems. This role requires you to truly understand our data systems and the customer-facing needs of the integration experience. You'll conduct user research and work with design to build out user-facing data ingestion monitors, alerts, and debugging experiences. You'll be working with an incredibly hardworking team of engineers, designers, and product managers to define and own the product vision for how AI can help us move faster, work better, and solve one of the toughest product problems we have—one that is absolutely critical to unlocking accelerated growth at Afresh. What You'll Do Lead Customer Integrations - Own 2-3 active integrations end-to-end as primary integration lead - Bring structure and process optimizations to how the team runs integrations - Use learnings as input to integration velocity initiatives—this is critical to learning how our system works end-to-end Drive Integration Velocity & Automation - Develop a roadmap for integration velocity, ambitiously aiming to cut our integration time by 60% - Explore and test vendors that can enable AI integration development or velocity - Identify and solution around bottlenecks in our system from both technical and operational perspectives - Own AI-powered initiatives to compress integration timelines, including Integration Assistant tooling and AI Integration Discovery projects Build Automated Data Quality Products - Build a vision and product for automated and customer-facing data quality reporting and analytics - Productize data quality monitoring as a customer-facing feature with AI-powered debugging capabilities - Enable customers to have transparent visibility into their data health while leveraging AI to automatically diagnose issues and provide actionable insights Own Data Products Holistically - Ensure our data models are best in class for how they model fresh data and solve fresh data problems - Understand how our data products are used by downstream teams (POP, SS, DC) and optimize for their needs - Partner with Store Solutions & DC PMs to define data requirements and translate them into automated data contracts and quality checks - Own the product strategy and execution of our data ingestion platform including our data model, data pipelines, relevant user interfaces, and data monitoring capabilities Strategic Product Initiatives - Lead the scoping, definition, and eventual execution of how we monetize our data assets in Logic as a Service - Own product strategy and roadmap for Recipe Management - Communicate both the business and technical rationale behind your decisions and evangelize your vision Cross-functional Collaboration - Work cross-functionally with our Deployment and Customer Success Teams, Engineering and Design to realize our product vision by taking products from conception to launch - Through user research and data analysis, develop user stories and product requirements, engage in usability and prototype testing, and define and monitor success metrics for maximal impact Skills and Experience The following represent the skills and experience our ideal candidate possesses. We encourage all highly-qualified candidates to apply, even if they do not fulfill all the listed criteria. - 4+ years experience as a product manager in a fast paced environment - Strong experience product managing or developing data-centric products—you deeply understand data systems, pipelines, and quality challenges - Experience with AI/ML products or platforms is a strong plus - Technical fluency that enables you to creatively explore possibilities and challenge constraints with engineering, with demonstrated ability to earn the respect of talented engineers - Strong analytical skills, with the ability to gather data, both qualitative and quantitative, emerge with insights, and make and communicate well-reasoned decisions - Excellent communication skills, logical reasoning, and storytelling, with proven ability to collaboratively work across a variety of stakeholders - Experience creating product roadmap(s) from conception to launch, driving product vision, defining go-to-market strategy and leading design discussions - Ability to thrive in ambiguity and build products from 0 to 1 - Experience working closely with customer-facing teams and understanding customer pain points - Prefer experience with SaaS companies or B2B enterprise products Salary Band for U.S.: $159,000 - $239,000 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.

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 the Data Engineering Manager on the Core Data Engineering team, you'll lead the team responsible for integrating customers onto Afresh's platform and continuously improving the processes and code that make those integrations faster and more reliable. Your team will also build core dataflows that power new Afresh products as they launch. This means owning the full lifecycle of customer data integrations: from raw data ingestion through transformation and delivery to downstream product and ML teams, across both new and existing grocery customers. Afresh's customer base is growing fast! We want to integrate customers across all of our products quickly and reliably. You'll drive integration execution, integration velocity, improve data quality and pipeline reliability, and build tooling and processes that make this process seamless. This is a hands-on management role. You'll be deeply involved in technical decisions while also coaching your team, managing execution across multiple customer projects, and collaborating closely with Solutions Engineering, Product, and other engineering teams. What You'll Do - Lead and grow a team of data engineers, providing mentorship, technical guidance, and career development support. - Own execution of customer integrations across multiple product lines (Store Ordering, RecsAPI, DC, Production Planning, and more), ensuring integrations are delivered on time and at a high quality bar. - Build core dataflows that power new Afresh products, working closely with Product and ML teams to understand requirements and deliver reliable data foundations. - Drive integration velocity: improve the speed and predictability of getting new customers from raw data landing to production-ready, leveraging AI tooling, standardized architecture, and strong contractor enablement. - Continuously improve integration processes and shared code: identify patterns across customer integrations and invest in abstractions, templates, and automation that reduce per-customer effort over time. - Collaborate deeply with Solutions Engineers, Product Managers, and customer-facing teams to scope integration work, unblock dependencies, communicate progress, and ensure integrations meet our customers’ needs. - Improve data quality and pipeline reliability by investing in better alerting, self-healing patterns, and resilience to messy or incomplete customer data. - Champion AI-forward engineering practices: evaluate and adopt AI tools and agentic workflows that accelerate development, automate repetitive tasks, and push the team to the bleeding edge of modern data engineering. - Contribute technically: reviewing code and architecture decisions, pairing with engineers on complex problems, and staying close to the work. What Makes You a Great Fit We encourage all highly-qualified candidates to apply, even if they don't meet every listed qualification. - 3+ years of engineering management experience - Strong technical background in data engineering: experience with Python, PySpark, SQL, dbt, Airflow, and modern data platforms (Databricks, Snowflake, or similar). - Track record of shipping high-quality data integrations or ETL systems at scale, and a deep understanding of what makes data pipelines reliable. - Experience managing execution across multiple concurrent projects with different customers or stakeholders, balancing competing priorities with clear communication. - Demonstrated ability to improve team velocity through better tooling, process improvements, or automation. - Genuine enthusiasm for AI-augmented engineering workflows. You've experimented with AI coding tools, agentic workflows, or similar, and have a vision for how they can transform data engineering and uplevel the team. - Comfort working with messy, real-world data from enterprise customers, and the pragmatism to ship solutions that work without over-engineering. - Strong collaboration skills: you're effective working across engineering, product, and customer-facing teams in a fast-paced environment. Nice to Have - Experience in grocery, retail, or supply chain data domains. - Prior experience at a high-growth startup navigating rapid customer expansion. Our Tech Stack - Python, PySpark, dbt - Databricks (Delta Lake, Unity Catalog) - Astronomer (Airflow) for orchestration - Claude, GitHub, Shortcut, Notion for development workflows Why Work Here - We are a mission-driven company that reduces millions of pounds of food waste (and growing!) in grocery stores every year. - Work on challenging, real-world data problems that have a direct and visible impact on customers. - Be part of an engineering culture that's genuinely AI-forward. We want to be on the bleeding edge. - Lead a team at a pivotal inflection point: rapid customer growth means your work directly shapes how Afresh scales. - Collaborative, supportive environment & awesome people :) This position is not eligible for company sponsorship. Salary Range in Canada (CAD): $157,433 - $212,996 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.