Application Guide

How to Apply for Manager, Engineering (Real-Time Data Systems)

at Scope3

🏢 About Scope3

Scope3 is a climate tech company uniquely focused on eliminating carbon emissions from the digital advertising supply chain using data-driven solutions. Their mission combines cutting-edge technology with environmental impact, offering engineers the rare opportunity to build systems that directly combat climate change while working on massive-scale data problems. This makes them particularly appealing to engineers who want their technical work to have tangible positive environmental consequences.

About This Role

As Manager, Engineering (Real-Time Data Systems) at Scope3, you'll lead a team building and maintaining systems that process billions of advertising events in real-time to calculate carbon emissions. This role is impactful because you'll directly contribute to the company's core mission of reducing digital advertising's environmental footprint while managing a team and remaining hands-on with Go code. You'll be architecting the data pipelines that power their AI-driven sustainability analytics, making this a technical leadership position with direct business impact.

💡 A Day in the Life

A typical day might involve reviewing real-time data pipeline performance metrics, pairing with engineers on Go code for system optimizations, and mentoring team members on technical design decisions. You'd likely spend time architecting improvements to handle increasing event volumes while collaborating with data scientists on ML pipeline enhancements for sustainability analytics.

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Interview Prep

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🎯 Who Scope3 Is Looking For

  • A backend engineer with 7+ years experience specifically in large-scale data systems who has spent at least 2 years managing teams while still writing production code regularly
  • Someone with proven Golang expertise who has built and scaled production systems handling billions of events, not just theoretical knowledge
  • An engineer with hands-on experience building and maintaining ML/LLM pipelines in production environments, not just experimentation
  • A leader who genuinely enjoys mentoring 5-7 engineers while maintaining significant individual technical contributions (this is explicitly a 'working manager' role)

📝 Tips for Applying to Scope3

1

Quantify your experience with specific numbers: mention the scale of data systems you've built (e.g., 'processed X billion events daily'), team sizes you've managed while coding, and production ML pipeline metrics

2

Highlight any climate tech, sustainability, or advertising technology experience prominently—even if tangential—since Scope3 operates at their intersection

3

Prepare concrete examples of balancing management duties with hands-on coding, as this role explicitly requires both

4

Demonstrate your Go expertise with specific projects or contributions, not just listing it as a skill

5

Research and reference Scope3's specific products or technical challenges in your application to show genuine interest in their mission

✉️ What to Emphasize in Your Cover Letter

['Your experience building real-time data pipelines at scale, specifically with advertising or similar high-volume event data', "Examples of successfully managing engineering teams while maintaining hands-on technical contributions (prove you're a 'working manager')", 'Your practical experience with ML/LLM pipelines in production environments, not just theoretical knowledge', "Why you're specifically drawn to Scope3's mission of reducing digital advertising emissions and how your skills align"]

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Scope3's specific products and how they calculate emissions from digital advertising (read their blog and technical content)
  • → The digital advertising supply chain and its environmental impact to understand the problem space
  • → Their technology stack mentions and any open-source contributions to understand their engineering culture
  • → Recent news about Scope3's partnerships or clients to understand their business trajectory

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Technical deep dive on your experience with Go in production systems at scale—expect coding exercises or architecture discussions
2 How you've designed and scaled real-time data pipelines processing billions of events, with specific challenges and solutions
3 Your approach to mentoring engineers while maintaining your own technical contributions (balancing management vs. coding)
4 Practical experience with ML/LLM pipelines: implementation details, monitoring, and scaling challenges in production
5 Your understanding of Scope3's business model and how you'd contribute to their emission reduction goals technically
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⚠️ Common Mistakes to Avoid

  • Presenting yourself as primarily a manager who doesn't code regularly—this role explicitly requires ongoing hands-on Go development
  • Vague descriptions of your data systems experience without specific scale metrics (billions of events is explicitly mentioned)
  • Focusing only on ML theory without demonstrating production pipeline experience with monitoring, scaling, and maintenance

📅 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 Scope3!

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