
11 - 50 employees
Founded 2022
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
Artificial Intelligence • Enterprise • SaaS
LanceDB is the first open-source AI-Native Multimodal Lakehouse designed to handle complex AI data needs on a large scale. It offers a unified solution for multimodal data, integrating storage, search, feature engineering, and analytics into a single platform. This enables users to efficiently manage diverse data types and workflows, facilitating rapid iteration and deployment of AI models. With advanced capabilities such as hybrid search and optimized training pipelines, LanceDB is built for enterprises seeking to leverage their data effectively in AI applications.
🔥 46 minutes ago
🌐 United States, Canada – Remote
💵 $160k - $205k / year
⏰ Full Time
🟠 Senior
🎁 Product Marketing
👻 Ghost score 20%
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11 - 50 employees
Founded 2022
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
Artificial Intelligence • Enterprise • SaaS
LanceDB is the first open-source AI-Native Multimodal Lakehouse designed to handle complex AI data needs on a large scale. It offers a unified solution for multimodal data, integrating storage, search, feature engineering, and analytics into a single platform. This enables users to efficiently manage diverse data types and workflows, facilitating rapid iteration and deployment of AI models. With advanced capabilities such as hybrid search and optimized training pipelines, LanceDB is built for enterprises seeking to leverage their data effectively in AI applications.
• Own LanceDB’s technical proof surface, including benchmarks, reference architectures, technical deep dives, and comparisons • Decide what technical proof is needed, produce content, and coordinate subject matter experts • Build working LanceDB demos and ship them as content, conference material, and sales assets • Write, host, and ship a biweekly product update video with live demonstrations • Partner with Engineering to frame benchmark questions, ensure rigor, and translate results for the market • Build customer- and partner-based proof points, reference architectures, joint technical content, and deployment material • Own competitive intelligence, including teardowns, battlecards, technical objection handling, and win themes • Build the technical half of sales enablement, including demo scripts, discovery questions, competitive training, and supporting proof points • Use customer and prospect conversations, user research, open-source community activity, GitHub, Discord, and sales-call questions to guide work • Partner with Marketing on launches, campaigns, and events • Collaborate closely with PMM, DevRel, Engineering, Sales, founders, and GTM leadership
• 5+ years marketing infrastructure or developer products to technical practitioners in product marketing, technical marketing, developer relations, solutions architecture, or an adjacent technical GTM role • Write Python • Work comfortably in notebooks • Build a working demo on an unfamiliar system without help • Comfortable on camera and able to carry a recurring video series with minimal support • Depth in AI/ML infrastructure, data infrastructure, databases, or developer tools • Demonstrated competitive marketing experience for a technical product • Strong writing ability • Ability to own work end to end without a supporting team • Strong analytic instincts and ability to use data to draw conclusions and adjust as needed • Thoughtful use of AI as a marketer • Excellent communication and partnership with founders, engineers, and GTM leadership • Ability to work in a fast-paced startup environment • Must be legally authorized to work in the United States for any employer • Located in the United States or Canada
• Equity grants • Medical insurance • Dental insurance • Vision insurance • Life insurance • 401(k) retirement plan • Flexible Spending Accounts (FSA) • Health Savings Accounts (HSA) • Commuter benefits • Generous paid time off • Paid parental leave program for birthing, non-birthing, adoptive, and foster parents
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