Note: The job is a remote job and is open to candidates in USA. Soda is a company focused on data quality solutions for major clients like Disney and Ralph Lauren. They are hiring a remote Graduate Sales Engineer to support the sales team by demonstrating products and translating technical capabilities to customers, while learning the sales cycle in a startup environment.
Responsibilities
- 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
Skills
- 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
- 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
Benefits
- Equity
- Unlimited PTO
- 401k
- Medical insurance
Company Overview