We9re hiring a Graduate Sales Engineer in our Brooklyn HQ, working in-person with the CEO, CMO, and the rest of the GTM team. This is one of the best ways to kick-start a technical sales career - selling infrastructure to the most technical buyers in the market while learning the full sales cycle from people who9ve built and sold to enterprises before.
Who this is forTop technical graduates who want to be customer-facing. You9re not looking for a coding job, you9re looking for the role where engineering meets the customer, where you demo to Data Engineering Managers in the morning and present to a VP of Data in the afternoon. You like building things, but you like shipping and closing more.
We9ll teach you how to run demos, scope PoCs, handle technical objections, and support customers post-sale. You bring the communication skills, technical horsepower, and builder mentality. We9ll teach you the rest.
What you9ll 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 Soda9s capabilities into the customer9s 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 and conferences
- Wear many hats - it9s a startup, you9ll touch every stage of the sales cycle
How we9ll ramp you- In-person from day one in Brooklyn, sitting next to the CEO and CMO
- Shadow demos, PoCs, and technical calls your AEs run
- Run demos for SMB deals early on
- Prepare webinar use cases and demo them live
- Learn the product deeply - Soda Core (open source) and Soda Cloud (commercial)
- Learn the enterprise data stack - Snowflake, Databricks, dbt, Airflow, Kafka
RequirementsMust have- 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. You9d 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 don9t drop balls
- Have a humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you9re missing to make both your team and our customers succeed
Nice to have- 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
Note: interpersonal skills matter more than depth of technical experience. We can teach you the data stack.
Benefits- Base salary: $80,000-$100,000
- Equity
- Location: In-person, Brooklyn HQ
- Benefits: Unlimited PTO, 401k, medical insurance
Hiring process- 1-minute intro video - What is the most impressive thing you9ve built or achieved? This tests your communication, not your achievements.
- Recorded demo - We9ll give you access to the product. You9ll record a short demo of Soda to a hypothetical customer.
- Technical interview
- Culture fit with the CRO and Director of Customer Engineering
