USD per year
Deepnote is a leading data notebook platform designed for modern data teams tackling complex, high-impact problems. The company works with notable clients such as Coca-Cola, SoundCloud, NASA, Gusto, Webflow, Ramp, and Harvard University. Deepnote emphasizes inventing powerful tools that do not yet exist to help data teams solve their hardest problems. The Sales Engineer role at Deepnote is a critical position that bridges product, engineering, and customer success. The role involves helping customers evaluate, adopt, and expand Deepnote by translating technical requirements into practical solutions. Responsibilities include guiding data teams through architecture discussions, product onboarding, proof of concepts, and maintaining ongoing technical partnerships. Deepnote values candidates who are technically fluent and customer-oriented, comfortable working directly with technical customers, skilled in problem-solving during live customer interactions, and able to connect product capabilities to customer outcomes. The company fosters a kind, feedback-heavy culture and thrives in fast-moving environments. The role offers perks including equity in an early-stage company, team events and retreats, learning budgets, travel budgets, generous PTO and sick days, paid parental leave, flexible working hours, setup bonuses, health budgets, and office amenities.
Deepnote is a collaborative data workspace where agents and humans work together. It supports notebooks, data apps, dashboards with no-code, Python, SQL, R. Integrates with Snowflake, BigQuery, and 100+ data sources. AI superpowers for data analysts and scientists to automate querying, analyzing, and interpreting data. Enables writing or generating Python, SQL, R code with AI assistance. Supports quick explorations to powerful data apps including dashboards, ETL pipelines, data catalog, knowledge base. Offers interactive visualizations and beautiful apps & dashboards with customizable layouts. Schedule notebooks to run automatically; deploy notebooks as APIs. Runs on powerful hardware including GPUs. Seamless cloud collaboration with environment management and sharing via links or invites. Hundreds of integrations with popular warehouses, databases, lakehouses. Based on open standards & extensible APIs; supports dbt metadata and CSV drag-and-drop. Supports Spark & Snowpark for terabyte-scale data processing. Security features include encryption, HIPAA and SOC 2 compliance, GDPR, CCPA compliance. Access control via RBAC, SSO (SAML/OIDC), directory sync. Offers custom deployments with secure managed instances.
View Company Profile