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Afresh

AI-driven inventory optimization for grocery retailers

Senior Engineering Manager - DC Buying

Engineering LeadershipUpdated on Nov 13
Full-time

About the Job

Requirements

  • At least 8 years of software engineering experience, including at least 3 years managing engineering teams.
  • Experience developing, scaling, and supporting mission-critical products in production.
  • Technical range across multiple functional domains, including front-end, back-end, data pipelines, and applied science, with sufficient depth to engage and willingness to learn.
  • Experience hiring, growing, and managing team performance, and building a culture where engineers own problems rather than tickets.
  • Clear, direct communication with stakeholders, executives, and customers.
  • Comfort working with ambiguity and growth-stage pressure, and ability to re-plan quickly when customer or business priorities shift without disrupting the team.
  • Use of AI-native development practices and interest in keeping the team at the leading edge of them.

Responsibilities

  • Hire, develop, and retain a senior team of product engineers; set clear expectations, invest in their careers, and address performance directly and promptly.
  • Set the technical bar by reviewing architecture, challenging unnecessary complexity, and making deliberate decisions about taking on and paying down technical debt.
  • Build strong relationships with peer engineering leaders across platform, data, and AI so DC can benefit from shared tooling.
  • Own the DC Buying roadmap with product, design, and science leads, balancing customer requests, technical investment, and business goals.
  • Understand users, business priorities, key metrics, and how to delight customers.
  • Make clear commitments internally and with customers, deliver on them, and communicate early when delivery is at risk.
  • Turn broad goals into scoped plans with sequencing, cost, and dates.
  • Keep leadership and partner teams informed and drive decisions to clarity.
  • Own reliability, on-call health, and data quality for a product buyers rely on daily.
  • Build a culture where engineers and scientists own problems rather than tickets, involving them early with customers, product, and design instead of handing them predetermined solutions.
  • Develop innovative products that delight DC buyers and drive customer impact.

Desired Qualifications

  • Supply chain, retail, or grocery experience, especially in demand forecasting, replenishment, or inventory optimization.
  • Experience shipping forecasting, optimization, or recommendation products that operators use daily.
  • Experience taking a product from early design partners to production at enterprise customers.
  • Familiarity with Python, TypeScript, React, GraphQL, Databricks, and Azure.

About the Company

Afresh

AI-driven inventory optimization for grocery retailers

Afresh provides an AI-powered platform that helps grocery retailers optimize fresh food inventory. It connects POS and supplier data to analyze sales, spoilage risk, and days-to-date, delivering restock recommendations and waste-avoidance guidance via a subscription service. Its specialization in perishable items and continuous learning from retailer data distinguishes it from generic inventory tools. The goal is to meet customer demand while reducing waste and boosting margins across the fresh food supply chain.

Company size
51-200
Company stage
Series B
Total funding
$147.8M
Headquarters
San Francisco, California
Founded
2017

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