Sales Engineer

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 Sales Engineer to work alongside our AEs, CRO, and the rest of the GTM team. You'll work on enterprise deals with the most technical buyers in the market, learn the full sales cycle from people who've built and sold to enterprises before, and grow fast. Who this is for Sales Engineers with a couple of years under their belt who want to level up. You've run demos, supported PoCs, and worked with AEs on real deals - now you want to do it at a startup where the deals are technical, and you can move fast without layers of process getting in the way. You'll work directly with AEs, and the CRO on enterprise accounts. You'll run demos, scope PoCs, and own the technical side of deals - with support when you need it and room to grow into bigger deals as you prove yourself. 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 Feed product and engineering the signal from the field - what's winning, what's losing, and why 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 How you'll operate Direct line to the CRO, Director of CEs, and product team - no layers Ramp on Mid-market deals early, grow into enterprise as you prove yourself 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 1-3 years as a Sales Engineer, Solutions Engineer, or similar customer-facing technical role at a B2B SaaS company 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 in front of a customer Experience running demos and supporting PoCs in customer environments 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 Experience selling to data teams (Data Engineers, Data Platform, CDOs) Familiarity with data quality, governance, or observability tools Data stack fluency - Snowflake, Databricks, BigQuery, dbt, Airflow, Kafka Experience at a high-growth Series A-C startup Experience building or presenting custom demos Experience working remotely in a high-growth environment Benefits Base salary: $100,000-$130,000 Equity Location: Remote (US-based) Benefits: Unlimited PTO, 401k, medical insurance Hiring process Phone screen interview 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