Graduate Sales Engineer (Remote)

Job Description

Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the team they call.

Soda is the data quality layer for Disney, Ralph Lauren, CBRE, HelloFresh, 2K Games, and Nubank. The category is growing rapidly because AI doesn't work on bad data.

We're hiring a remote Graduate Sales Engineer to work alongside our AEs, CRO and the rest of the GTM team. This is one of the best ways to kick-start a technical sales career - selling infrastructure to the most technical buyers in the market while learning the full sales cycle from people who've built and sold to enterprises before.

Who this is for

Top technical graduates who want to be customer-facing. You're not looking for a coding job, you're looking for the role where engineering meets the customer, where you demo to Data Engineering Managers in the morning and present to a VP of Data in the afternoon. You like building things, but you like shipping and closing more.

We'll teach you how to run demos, scope PoCs, handle technical objections, and support customers post-sale. You bring the communication skills, technical horsepower, and builder mentality. We'll teach you the rest.

What you'll do

• Run demos and scope PoCs alongside our AEs, from first technical call through to closed-won
• Translate customer problems into Soda solutions, and translate Soda's capabilities into the customer's language
• Build custom demos, sample pipelines, and PoC environments that show real value
• Own product, technical, and security responses on RFPs and RFIs
• Support customers through evaluation, purchasing, and implementation
• Be the technical voice in the room - with Data Engineers, Heads of Data Platform, and Chief Data Officers
• Travel occasionally to customer sites, team offsites, and conferences
• Wear many hats - it's a startup, you'll touch every stage of the sales cycle

Requirements

Must have

• Undergraduate degree (or higher) in a technical field - Computer Science, Applied Mathematics, Engineering, or similar
• Fluent in Python - you can read, write, and debug it without help
• Strong customer communication - clear, calm, and honest under pressure. You can explain something technically complex to a Data Engineer and to a VP of Data in the same conversation
• Builder mentality, process-oriented - you want to optimize and streamline boring processes. You write docs without being asked. You notice when a process is broken and propose a fix. You'd rather build an AI workflow to automate a repetitive task than do it manually three more times - and you have examples of doing exactly that
• High horsepower and ruthless prioritization - you context-switch well, manage multiple projects with expansive ownership, and don't drop balls
• Have a humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you're missing to make both your team and our customers succeed
• Based in the US

Nice to have

• Top university degree
• Hands-on experience with AI or data products (school projects, internships, side projects all count)
• Familiarity with data engineering, governance, quality, or observability concepts
• Experience at a B2B SaaS startup (internships count)
• Experience building or presenting custom demos
• Data stack fluency - Snowflake, Databricks, BigQuery, dbt, Airflow, or similar
• Experience working remotely in a high-growth environment

Note: interpersonal skills matter more than depth of technical experience. We can teach you the data stack.

Benefits

• Base salary: $80,000-$100,000
• Equity
• Location: Remote (US-based)
• Benefits: Unlimited PTO, 401k, medical insurance

Hiring process

1. 1-minute intro video - What is the most impressive thing you've built or achieved? This tests your communication, not your achievements.
2. Recorded demo - We'll give you access to the product. You'll record a short demo of Soda to a hypothetical customer.
3. Technical interview
4. Culture fit with the CRO and Director of Customer Engineering