Soda
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.
Graduate Sales Engineer
🔥 3 hours ago
📊 Check your resume score for this job
Improve your chances of getting an interview by checking your resume score before you apply.
Soda
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 • 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
• 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
🏖️ Benefits
• Unlimited PTO • 401k • medical insurance
Apply Now
