Sales Engineer (Remote)

Sales Engineer

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
• 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
• 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