Application Guide

How to Apply for Data Engineering Manager

at Afresh Technologies

🏢 About Afresh Technologies

Afresh Technologies is an AI-driven platform uniquely focused on reducing food waste in the fresh food supply chain, having saved 200M pounds of food waste in 2025 alone. The company partners with major grocers like Albertsons and Wakefern to optimize ordering across 12,000+ grocery departments, combining massive scale with tangible social impact. Working here means contributing directly to eliminating food waste while building cutting-edge technology in a fast-growing startup environment.

About This Role

As Data Engineering Manager on the Core Data Engineering team, you'll lead the team responsible for integrating new grocery customers onto Afresh's platform and improving integration processes for speed and reliability. You'll own the full lifecycle of customer data integrations—from raw data ingestion through transformation to delivery for product and ML teams—while also building core dataflows that power new Afresh products. This role is critical for scaling Afresh's rapidly growing customer base across all products while ensuring data quality and reliability.

💡 A Day in the Life

A typical day involves leading standups with your Core Data Engineering team to track customer integration progress, reviewing integration pipelines for new grocery partners, collaborating with product and ML teams on dataflow requirements for upcoming launches, and optimizing existing processes to handle Afresh's rapid growth. You'll balance strategic planning for scaling integrations with hands-on technical guidance and cross-functional coordination to ensure reliable data delivery across the platform.

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🎯 Who Afresh Technologies Is Looking For

  • Experienced in managing data engineering teams that handle end-to-end customer data integrations, from ingestion to transformation and delivery
  • Skilled at optimizing data integration processes for speed and reliability, particularly in scaling environments with fast-growing customer bases
  • Knowledgeable about building core dataflows that support new product launches and downstream ML teams
  • Comfortable working with grocery retail data systems and understanding the unique challenges of fresh food supply chain data

📝 Tips for Applying to Afresh Technologies

1

Highlight specific experience managing data integration teams that onboard enterprise customers, especially if in retail or supply chain contexts

2

Quantify your impact on improving integration speed and reliability—mention percentage improvements or time reductions in previous roles

3

Demonstrate understanding of Afresh's mission by connecting your data engineering experience to social impact outcomes like waste reduction

4

Showcase experience building dataflows that support ML teams and new product launches, not just maintaining existing pipelines

5

Emphasize remote management experience and ability to lead distributed teams effectively

✉️ What to Emphasize in Your Cover Letter

['Your experience leading teams through rapid customer growth and scaling data integration processes', 'Specific examples of improving integration speed and reliability for enterprise customers', 'How your data engineering work has supported ML teams and new product development', "Your passion for Afresh's mission to eliminate food waste and make fresh food accessible"]

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Afresh's specific products: Core platform, full store suite, and DC Fresh Buying—understand what data each requires
  • → The company's grocery partners (Albertsons, Wakefern, Meijer, Stater Bros) and their data systems
  • → Afresh's 2025 growth metrics and expansion into all fresh departments
  • → Food waste reduction challenges in the fresh food supply chain and how data engineering addresses them

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Describe your approach to managing the full lifecycle of customer data integrations from ingestion to delivery
2 How would you improve integration processes to make them faster and more reliable for Afresh's growing customer base?
3 What strategies have you used to build dataflows that effectively support ML teams and new product launches?
4 How do you balance the need for quick customer onboarding with maintaining data quality and system reliability?
5 Share an example of how you've scaled data engineering processes during periods of rapid company growth
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⚠️ Common Mistakes to Avoid

  • Focusing only on technical data engineering skills without demonstrating team leadership and customer integration experience
  • Generic statements about data pipelines without specific examples of improving speed and reliability for enterprise customers
  • Failing to connect your experience to Afresh's mission of reducing food waste and scaling their customer base

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

Ready to Apply?

Good luck with your application to Afresh Technologies!

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