Sales Engineer

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Soda

WebsiteLinkedInAll Job Openings

11 - 50 employees

☁️ SaaS

🏢 Enterprise

🤖 Artificial Intelligence

💰 Series A on 2021-02

SaaS • Enterprise • Artificial Intelligence

Soda is a GenAI-first platform focused on data quality and data observability. It helps organizations ensure their data products and pipelines are reliable by embedding declarative data quality checks into existing workflows. Soda provides a seamless experience for data validation, allowing monitoring of data quality health using out-of-the-box observability and tests. The platform offers integrations with existing tools and frameworks, making it suitable for various personas within data teams to contribute to maintaining high data standards. Soda is trusted by over 100 organizations to streamline their data quality processes in production environments.

📋 Description

• 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

• 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