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.
Why this role mattersDeepnote is inherently a technical product, a collaborative notebook built for modern data teams doing real, complex, high impact work.
As a Customer Solutions 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.
About youYou 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 are comfortable working directly with technical customersYou 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 are technically fluentYou 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 enjoy problem-solving in live customer situations
You are excited by discovery calls, solution design, proof of concepts, onboarding, troubleshooting, and technical enablement.
You understand the daily pain of data practitionersMessy workflows, slow notebooks, fragmented tooling, environment issues, unclear ownership, and poor collaboration all feel familiar to you.
You know how to connect product capabilities to customer outcomesYou can translate technical features into real value, and you can help customers understand not just how something works, but why it matters.
You build momentum across teamsYou work well with sales, product, engineering, customer success, and leadership. You know how to bring the right people together to solve the right problem.
You thrive in fast-moving environmentsAmbiguity does not slow you down. You bring structure, ownership, and forward progress.
You actively contribute to a kind, feedback-heavy cultureYou give and receive feedback with candor, empathy, and curiosity.
Bonus pointsHands-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
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 💰
If you’re in the office, paid lunches, snacks, and drinks 🌯
Does this sound like you? Drop us a message!
Top Skills
Similar Jobs
What you need to know about the NYC Tech Scene
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory


