About The Position

Deepnote is seeking a Sales Engineer to join their core team. This role sits at the intersection of product, engineering, and customer success, focusing on helping customers evaluate, adopt, and expand their use of Deepnote. The Sales Engineer will guide data teams through architecture discussions, product onboarding, proof of concepts, and ongoing technical partnership. This is a hybrid role that involves solving real technical problems with customers, understanding modern data team operations, and acting as a trusted partner throughout the customer lifecycle. The ideal candidate is customer-oriented, technically fluent, enjoys problem-solving in live customer situations, understands the pain points of data practitioners, and can connect product capabilities to customer outcomes. They should also be adept at building momentum across teams and thriving in fast-moving, ambiguous environments, while contributing to a kind, feedback-heavy culture.

Requirements

  • Comfortable working directly with technical customers
  • Enjoy partnering with data teams, engineering teams, and technical stakeholders.
  • Technically fluent
  • Able to quickly become conversant in customer environments and explain complex concepts clearly.
  • 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.
  • Enjoy problem-solving in live customer situations
  • Understand the daily pain of data practitioners (Messy workflows, slow notebooks, fragmented tooling, environment issues, unclear ownership, and poor collaboration).
  • Know how to connect product capabilities to customer outcomes
  • Build momentum across teams
  • Work well with sales, product, engineering, customer success, and leadership.
  • Thrive in fast-moving environments
  • Ambiguity does not slow you down.
  • Actively contribute to a kind, feedback-heavy culture
  • Give and receive feedback with candor, empathy, and curiosity.

Nice To Haves

  • 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

Responsibilities

  • Help customers evaluate, adopt, and expand Deepnote.
  • Translate technical requirements into practical solutions.
  • Guide data teams through architecture discussions, product onboarding, proof of concepts, and ongoing technical partnership.
  • Solve real technical problems with customers.
  • Understand how modern data teams work.
  • Be a trusted partner from first conversation to long-term success.
  • Build trust, understand complex environments, and help teams move from pain points to working solutions.
  • Work directly with technical customers.
  • Partner with data teams, engineering teams, and technical stakeholders.
  • Ask good questions, listen closely, and turn ambiguity into action.
  • Quickly become conversant in customer environments and explain complex concepts clearly.
  • Engage in discovery calls, solution design, proof of concepts, onboarding, troubleshooting, and technical enablement.
  • Connect product capabilities to customer outcomes.
  • Build momentum across teams by bringing the right people together to solve the right problem.
  • Bring structure, ownership, and forward progress in fast-moving environments.

Benefits

  • Equity in a high-growth, early-stage company
  • A team of the smartest, kindest humans around
  • Team events, off-sites, and unforgettable company retreats
  • A company card with unlimited budget for learning, development, and work necessities
  • Travel budget to meet the team
  • 25 days of PTO + unlimited sick days
  • Paid parental and family leave
  • Amazing swag
  • Flexible working hours
  • $2,000 kick-start bonus for your setup
  • $1,000 health budget
  • Paid lunches, snacks, and drinks (if in the office)
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