Espresso AI’s mission is to use ML to automate performance engineering, starting with data warehouses like Snowflake and Databricks. Today, we're saving our customers up to 70% on their Snowflake bills.

Our team has built cutting edge NLU for Google Search & Siri, written exploits for web browsers, and saved Google staggering sums of money through file-system performance engineering.

We're very early, so you will have a substantial equity stake and the opportunity to significantly impact the trajectory of this company.

Our Product

More and more businesses are adopting data warehouses to manage invaluable data analytics workloads. Unfortunately, the costs of these workloads often grows exponentially over time, with no easy way for users to reduce cost - until now.

Our next-generation, AI-based approach saves our users huge amounts of money.

Engineering

We're looking for exceptionally strong engineers who are driven to deliver customer impact. That can mean improving on the state-of-the-art in deep learning, but much more often it means figuring out why two libraries don't fit together, paying off technical debt, or reaching out to individual users to make their experience amazing.

We're looking for folks who are able to work autonomously, prioritize ruthlessly, and communicate effectively. We're prioritizing senior engineers with 3+ years of work experience, but will consider new grads who have shown an ability to ship quickly and work in teams.

We expect you onboard and ship a meaningful feature in your first week.

Engineers in similar roles have built:

• Consistent distributed systems
• Optimal scheduling algorithms
• High-quality visualizations
• ML orchestration
• Production monitoring systems
• The worst regexes you’ve ever seen in your life

This isn't required, but let us know if you have prior experience with:

• Small startups
• Data warehouse cost optimization
• SQL optimization
• Software verification

If your colleagues would describe you as "the best engineer I've ever worked with", we'd love talk to you! You'll fit right in.

Sales

Our team is selling the future of cloud compute. We're looking for reps who are excited to get in the weeds with technical teams (and their finance counterparts) to help them understand what this future looks like and how Espresso will get them there.

You should be deeply interested in technology in general and AI specifically. Our customers are technical, which means you need to be technical too - a surface-level understanding isn't enough to build the trust you need to establish partnerships.

We have product market fit and multiple AEs closing deals, but we're still experimenting with and building out our sales process. As an early sales hire improving the process is a core part of your role. If you're expecting a well-oiled sales machine, we're not going to be a good fit - but if you're excited to have significant ownership and impact as we build from the ground up, we're at the perfect stage for you to join.

Office

Espresso AI is located in Brooklyn, NYC. We're in the office every day of the week. We’re happy to provide relocation.

What We Offer

• Competitive salary and meaningful equity
  Expected NY State pay range, Engineering: $150,000 - $300,000
  Expected NY State pay range, Sales: OTE $100,000 - $300,000
• Employee-friendly equity terms (early exercise)
• Health, dental, and vision insurance
• 401k with 4% match
• Free salads & gym membership

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