Remote (Global) Full-time

Deepnote is hiring a Senior Account Executive

About the Role

Hey there, we're Deepnote! πŸ‘‹ We empower data teams to tackle the most challenging problems. Solving these requires more than just sophisticated algorithms, expanded datasets, and enhanced computing capabilities. We must craft innovative tools that currently don't exist. We need to pioneer them first. As the top-rated data notebook platform globally, we're honored to serve clients like Coca Cola, SoundCloud, NASA, Gusto, Webflow, Ramp, Harvard University, and numerous others. As we expand our core team, we're seeking compassionate, inquisitive, and talented individuals eager to evolve with us and define the future of data science. You'll engage with some of the most complex challenges in the field - we don't anticipate you'll be an expert in everything, but we do expect rapid learning and leadership. Why this role matters Deepnote is fundamentally a technical product - a collaborative notebook designed for contemporary data teams performing significant, intricate, high-impact work. As an Account Executive, you're positioned at the ecosystem's core. You'll collaborate with engineering-minded purchasers, transform technical challenges into tangible business value, and guide companies in understanding the global shift toward cloud-native, collaborative analytics. This isn't a "pitch and pray" position. It's a role for someone who embraces complexity, relishes technical dialogues, and excels at orchestrating thoughtful, strategic enterprise cycles. About you You're more than a seller - you're a partner, a guide, and a translator between data teams and superior tooling. You'll excel here if: Enterprise sales is your expertise. You can navigate multi-threaded, six-figure+ deals with Fortune 500-level stakeholders, executing with precision and confidence. You've sold SaaS in dynamic environments, preferably in high-growth, technical sectors. You're technically proficient (or deeply enthusiastic about becoming so). You can quickly grasp new concepts, articulate complex ideas clearly, and become conversant in: - SQL / Python fundamentals - Data workflows - Libraries like NumPy or Plotly - Cloud vs. on-premises solutions - Single vs. multi-tenant configurations You comprehend the daily challenges of data practitioners. Disorganized workflows, sluggish notebooks, isolated collaboration, and environmental chaos resonate with you. You're passionate about the data ecosystem. You track emerging tools, trends, and the continuously evolving modern data stack. You excel at generating momentum. You collaborate effectively with product, engineering, customer success, marketing, and leadership teams, unifying everyone toward a shared objective. You thrive in fast-paced environments. Uncertainty doesn't intimidate you; it invigorates you. You bring clarity, ownership, and forward momentum. You actively foster a supportive, feedback-driven culture. You offer and receive feedback with candor, empathy, and curiosity. ⭐ Bonus points - Hands-on experience with Python or SQL - Selling technical software to data, analytics, or ML organizations - Familiarity with notebook tools (Jupyter, Databricks, Hex, etc.) 🎁 Perks & Benefits - Equity in a high-growth, early-stage company πŸš€ - A team of the most intelligent, kindest individuals 🧠 - Team events, off-sites, and unforgettable company retreats 🌊 - Unlimited company card for learning, development, and work necessities πŸ’³ - Travel budget to meet the team πŸ›« - 25 days of PTO + unlimited sick days 🏝️ - Paid parental & family leave πŸ‘Ά - Amazing swag πŸ‘• - Flexible working hours πŸ•£ - $2,000 Kick-Start bonus for your setup πŸ’° - $1,000 Health budget πŸ’° - Office perks: paid lunches, snacks, drinks 🌯 Does this resonate with you? Reach out to us!

Required Skills
Enterprise SalesTechnical CommunicationSQLPythonData Workflow UnderstandingCloud TechnologiesSaaS SalesCustomer Relationship ManagementTechnical ConsultingData Ecosystem Knowledge
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About company
Deepnote

A collaborative notebook platform for data teams that helps solve complex data science problems, used by major companies like Coca Cola, NASA, and Harvard University.

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Posted 4 months ago