Jobs at Afresh

As a Senior Data Engineer, you will design ETLs for large customer datasets, improve integration tools, and mentor other engineers, impacting customer onboarding and data accuracy.

The Staff Software Engineer will enhance the ML platform's performance and scalability, collaborating with teams to support predictive modeling and real-time inference capabilities.

Design and implement ETLs to process large volumes of customer data, build tools for integration, and mentor team members to improve data handling and scalability.

Lead R&D for large-scale ML and optimization models powering perishable inventory replenishment. Research, implement, validate forecasting, stochastic optimization, and multi-echelon inventory solutions, productionize code, mentor team members, and align modeling roadmap with product and business goals to reduce food waste.

Lead R&D to design, implement, and deploy ML and optimization solutions for perishable inventory control and multi-echelon replenishment. Model demand, perishability, and supply uncertainty, drive research-to-production changes, mentor team members, and improve decision-making to reduce food waste.

As an ML Platform Engineer, you will enhance our core ML platform's performance and scalability, collaborating with teams to innovate solutions.

The Staff ML Platform Engineer will enhance Afresh's ML platform performance and scalability, collaborating with ML teams to improve systems and deploy models efficiently.

Owner of enterprise demand generation: set channel strategy across paid, email, lifecycle, ABM/ABX, events, and webinars; run end-to-end campaigns in HubSpot, LinkedIn, and Google; partner with Sales, PMM, and RevOps to connect HubSpot, Salesforce, and website for full-funnel reporting; manage event execution and an event coordinator; evolve AI-native stack, lead signal-based automation, and report performance with actionable insights to drive pipeline.

As a Senior Talent Acquisition Partner, you'll drive recruitment strategies, sourcing technical talent, and manage full-cycle recruiting while collaborating with business leaders to meet hiring needs.

As a Product Manager, you will oversee the inventory management and store ordering solution, conducting user research, collaborating with teams, and driving product vision to reduce food waste.

As an Enterprise Account Executive at Afresh, you will manage strategic sales for large grocers, building relationships, guiding through the sales process, and collaborating with internal teams to enhance customer experience.

The role involves building and shipping high-quality applications for grocery store operations, collaborating with engineering, product, and design teams, and ensuring software quality through automated testing.

As a Staff Solutions Engineer, you'll manage complex integration projects, collaborate with clients and teams, define technical standards, and mentor peers, contributing to operational scalability and impact.

The Senior Software Engineer will lead frontend development using React for Afresh's AI grocery platform, mentoring engineers and collaborating across teams to enhance web solutions.

You'll develop applications to optimize grocery store operations, ensuring efficient management of fresh food supply chains and supporting thousands of stores.

Build and ship applications to optimize grocery operations, collaborate with teams, ensure software quality, and support feature development with machine learning specialists.

As a Senior Software Engineer, you will own the frontend architecture of the AI ordering product, ensuring high performance and usability while mentoring junior engineers and enhancing team collaboration.

As a Full-Stack Engineer at Afresh, you'll develop applications to enhance grocery store operations and optimize the fresh food supply chain, while collaborating with product teams and driving new feature development.

As an ML Platform Engineer, you will enhance Afresh's ML platform, improving performance and scalability. Responsibilities include developing new features and implementing scalability improvements for ML solutions.