Afresh
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Artificial Intelligence • Machine Learning • Retail • Social Impact • Software
Own FP&A for a high-growth AI grocery startup: build and run forecasting, budgeting, and long-range plans; analyze variances; develop KPIs and dashboards; partner cross-functionally; prepare board-quality analysis; model scenarios for strategic decisions; and drive AI-enabled process improvements.
Artificial Intelligence • Machine Learning • Retail • Social Impact • Software
Lead Afresh's demand generation strategy across paid media, ABM/ABX, email, events, and webinars. Build account-driven programs, manage event execution, partner with Sales and PMM, evolve the AI-native marketing stack, define KPIs, and deliver full-funnel reporting that connects HubSpot, Salesforce, and the website to pipeline outcomes.
Artificial Intelligence • Machine Learning • Retail • Social Impact • Software
Technical lead on the Distribution Center data team building and scaling ETLs and data integrations using PySpark and DBT. Design robust pipelines to process large customer datasets, improve onboarding tooling, mentor engineers, manage contractors, and collaborate cross-functionally to support ML-driven grocery solutions.
Artificial Intelligence • Machine Learning • Retail • Social Impact • Software
Lead design and implementation of large-scale ETLs and data integrations for Distribution Center products using PySpark and DBT. Define DC data architecture, mentor engineers, manage contractors, and collaborate with product and applied science teams to improve onboarding, data quality, tooling, and scalability to power machine learning solutions.
Artificial Intelligence • Machine Learning • Retail • Social Impact • Software
Lead architecture and implementation of scalable data systems and pipelines from ingestion to delivery. Own ambiguous, high-impact integrations, improve data quality and reliability, adopt AI-augmented engineering, mentor engineers, and collaborate with Product, ML, and customer teams to ship production solutions.
Artificial Intelligence • Machine Learning • Retail • Social Impact • Software
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.
Artificial Intelligence • Machine Learning • Retail • Social Impact • Software
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.
Artificial Intelligence • Machine Learning • Retail • Social Impact • Software
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.
Artificial Intelligence • Machine Learning • Retail • Social Impact • Software
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.
Artificial Intelligence • Machine Learning • Retail • Social Impact • Software
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.
Artificial Intelligence • Machine Learning • Retail • Social Impact • Software
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.



