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 Graduate Sales Engineer in our Brooklyn HQ, working in-person with the CEO, CMO, 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 and conferences
- Wear many hats - it's a startup, you'll touch every stage of the sales cycle
How we'll ramp you
- In-person from day one in Brooklyn, sitting next to the CEO and CMO
- Shadow demos, PoCs, and technical calls your AEs run
- Run demos for SMB deals early on
- Prepare webinar use cases and demo them live
- Learn the product deeply - Soda Core (open source) and Soda Cloud (commercial)
- Learn the enterprise data stack - Snowflake, Databricks, dbt, Airflow, Kafka
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
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
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: In-person, Brooklyn HQ
- Benefits: Unlimited PTO, 401k, medical insurance
- 1-minute intro video - What is the most impressive thing you've built or achieved? This tests your communication, not your achievements.
- Recorded demo - We'll give you access to the product. You'll record a short demo of Soda to a hypothetical customer.
- Technical interview
- Culture fit with the CRO and Director of Customer Engineering
Skills Required
- Undergraduate degree in a technical field (Computer Science, Applied Mathematics, Engineering, or similar)
- Fluent in Python (able to read, write, and debug independently)
- Strong customer communication skills; explain technical concepts to engineers and VPs
- Builder mentality and process-oriented; proposes fixes, writes documentation, automates repetitive tasks
- High horsepower and ruthless prioritization; manages multiple projects and ownership
- Humble attitude and eagerness to learn and help teammates and customers
- Willingness to work in-person at Brooklyn HQ from day one
- Hands-on experience with AI or data products (school projects, internships, side projects)
- Familiarity with data engineering, governance, quality, or observability concepts
- Experience at a B2B SaaS startup or presenting/building custom demos
- Data stack fluency (Snowflake, Databricks, BigQuery, dbt, Airflow, or similar)
What We Do
Say goodbye to data issues and hello to trust with Soda, the data quality platform built for the modern data stack. Our mission is simple: to help data teams catch, prevent, and resolve data issues before they wreak havoc downstream. With Soda, you can embed powerful data quality checks right into your data stack and systems. Ensure that the data you deliver is accurate, reliable, and trustworthy. Join the over 100 data-driven organizations worldwide, including HelloFresh, Group 1001, Lululemon, Panasonic, Zefr, and Zendesk, who rely on Soda to power their data quality. From preventing bad data merges to aligning with data consumers and integrating seamlessly into your data stack, Soda will enable your team to test and deliver data that everyone can trust.
