Senior Solutions Engineer

At Guac, we're on a mission to solve grocery food waste with predictive ML. We forecast exactly how much of each product will sell, to put an end to the millions of tons of food that goes to waste every single day due to bad inventory replenishment.

We're currently working with major supermarket chains in the US (you've probably shopped at some of them before), and we're backed by Y Combinator, 1984 Ventures, Collaborative Fund, and angels from Instacart and Citadel Securities.

We're seeking a talented Senior Solutions Engineer to join our team in-person in New York to help shape the future of grocery!

About the Role

As a Senior Solutions Engineer at Guac, your time will be split between direct customer facing work and data engineering work.

You'll be working directly with our customers to understand their needs, build solutions using our products and technologies, and ensure successful technical integrations. Your customer facing work will include:

• Collaborating directly with customers' technical teams to understand their IT infrastructure and system implementations
• Working with customers’ internal supply chain and store operations teams to understand and then implement their unique business logic

In addition to direct customer facing work, you will have ownership over building and maintaining ETL infrastructure and data integrations for customer deployments:

• Designing and implementing scalable data pipelines for processing large-scale data across multiple customers
• Leading integrations with our customers IT systems and data sources
• Expanding our recommendation engine to meet the business needs of new customers
• Contributing to our backend services to serve our mobile and web applications

You’ll be working across languages and technologies such as: Python, FastAPI, Dagster, GCP (including BigQuery), Dask, and SQL.

About You

• At least 3 years of relevant work experience and a minimum of a Bachelor’s degree or equivalent in Computer Science
• Excellent communication skills and commercial mindset, with experience in customer-facing technical roles
• Proven experience designing and implementing ETL systems, especially across large distributed data sets
• Existing background in backend development (Python/FastAPI) is a big plus

Why Work with Us

• Intellectually challenging problems that require a lot of thinking and creativity (like how to scale ML systems across diverse grocery chains). Since we’re still a small team, you won't be pigeon-holed into one problem, product, or technology
• Make a real-world impact: the grocery industry is enormous (in the US, it accounts for ~4% of GDP), and we're excited about the potential for a huge impact we can make with better inventory operations on both grocers' bottom-line but also on the climate and food security
• Engage with interesting customers and see the on-the-ground operations of the grocery industry