Staff Data Engineer, Analytics

🏢 Afresh · 📍 Remote, San Francisco, California, United States · 💼 remote us 💰 $168,000 - $250,000 / yr

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Position Summary & Responsibilities

Afresh, the AI platform for grocery, began by tackling the most complex problem in the industry: fresh, and has evolved into the core AI platform for grocers.

By leveraging proprietary AI designed for high-volatility environments, we empower partners like Albertsons, Meijer, and Wakefern to drive smarter decisions across their entire enterprise.

Following record-breaking 70% revenue growth in 2025, we have scaled to 6 enterprise-grade solutions, with solutions live in over 10% of the U.S. grocery market. Our platform now orchestrates billions of decisions from the store floor to the distribution center and prevented over 200 million pounds of food waste last year alone.

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 how the world eats, there is no better time to join us.

About the role:

At Afresh, we’re building data products to define the future of retail grocery analytics. The nerve center of those products is our analytics platform, and as a Staff Data Engineer on the Data Science and Analytics team, you’ll be the technical leader of that platform.

Our growing suite of data products range from standardized reports to AI-driven insight engines and agentic analytics tools. They let our customers understand what’s happening in their stores and empower them to reduce food waste. All of these products require a reliable platform of well-modeled data, clearly-defined metrics, and extensive metadata and context.

This platform is also used by teams across the company to ensure customer success and improve our core products. The Data Science and Analytics team collaborates closely with every team in the company, helping them build products and make decisions with data. You will regularly interact with data engineers, product engineers, product managers, data scientists, and operations specialists.

What You'll Do:

As a Staff Data Engineer on the Data Science team, you will own the development of our analytics platform. You’ll evolve our data models, solidify our pipelines, and establish data go

🎯 Candidate Preparation Guide For Afresh Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Assessing alignment with fresh food supply chain complexities, predictive data modeling capabilities, and mission-driven passion for reducing food waste.

📋 Preparation Priorities (Key Areas to Clarify):

1. Treating supply chain logistics purely as static theoretical math without accounting for real-world chaos.
2. Lacking authentic alignment with the sustainability and food-waste mission.
3. Overcomplicating technical solutions for end-users who operate in fast-paced grocery store environments.

✨ Recommended Role Alignment Hook:

I build intelligent, resilient inventory systems that tackle the extreme volatility of fresh supply chains to radically reduce global food waste.

🔒 Free Candidate Preparation Access

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