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Tech Stack
Tools & technologiesAirflowBigQueryKafkaPython
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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
Comp & perks- Base salary: $100,000-$130,000
- Equity
- Location: Remote (US-based)
- Benefits: Unlimited PTO, 401k, medical insurance
ATS Keywords
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Hard Skills & Tools
PythonDemo DevelopmentProof of Concept (PoC) SupportTechnical Problem SolvingProcess Optimization
Soft Skills
Strong CommunicationBuilder MentalityHigh PrioritizationTeam CollaborationHumble Attitude