Sales Engineer / GTM

Hey, we are Deepnote! 👋 We help data teams solve the hardest problems. Achieving this requires more than just advanced algorithms, larger datasets, and greater computing power. We need powerful tools that don’t yet exist. We need to invent them first.

As the best rated data notebook platform in the world, we are proud to work with clients like Coca-Cola, SoundCloud, NASA, Gusto, Webflow, Ramp, Harvard University, and hundreds more. As we build out our core team, we’re looking for kind, curious, and talented people who are excited to grow with us and shape the future of data science.

You’ll work on some of the most difficult problems in the field. We do not expect you to know everything on day one, but we do expect you to learn fast, think deeply, and take ownership.

Deepnote is inherently a technical product, a collaborative notebook built for modern data teams doing real, complex, high impact work.

As a Sales Engineer, you sit at the intersection of product, engineering, and customer success. You will help customers evaluate, adopt, and expand Deepnote by translating technical requirements into practical solutions. You will guide data teams through architecture discussions, product onboarding, proof of concepts, and ongoing technical partnership.

This is not a support-only role, and it is not a purely pre-sales role either. It is a role for someone who loves solving real technical problems with customers, understands how modern data teams work, and enjoys being a trusted partner from first conversation to long-term success.

You are not just technical, you are deeply customer-oriented. You know how to build trust, understand complex environments, and help teams move from pain points to working solutions. You will thrive here if:

You enjoy partnering with data teams, engineering teams, and technical stakeholders. You ask good questions, listen closely, and know how to turn ambiguity into action.

You can quickly become conversant in customer environments and explain complex concepts clearly. You are comfortable with topics like:

• SQL and Python basics

• data workflows and collaboration challenges

• notebooks and developer tools

• cloud and infrastructure concepts

• security and deployment models

• single tenant and multi-tenant setups

• integrations and customer architecture discussions

You are excited by discovery calls, solution design, proof of concepts, onboarding, troubleshooting, and technical enablement.

Messy workflows, slow notebooks, fragmented tooling, environment issues, unclear ownership, and poor collaboration all feel familiar to you.

You can translate technical features into real value, and you can help customers understand not just how something works, but why it matters.

You work well with sales, product, engineering, customer success, and leadership. You know how to bring the right people together to solve the right problem.

Ambiguity does not slow you down. You bring structure, ownership, and forward progress.

You give and receive feedback with candor, empathy, and curiosity.

• Hands-on experience with Python or SQL

• Experience working with technical customers in SaaS

• Experience with customer onboarding, solutions engineering, or technical account management

• Familiarity with notebook tools like Jupyter, Databricks, Hex, or similar platforms

• Experience supporting data, analytics, or machine learning teams