Senior Technical Product Marketing Manager

The role

You will own technical content, demos, and competitive work to support go-to-market efforts. You will build hands-on demos, write technical deep dives, and produce a biweekly product update video.

What you will do

• Own the technical proof surface including benchmarks, reference architectures, and technical deep dives.
• Build hands-on working demos on LanceDB for content, conferences, and sales assets.
• Write, host, and ship a biweekly product update video with live demos.
• Partner with Engineering to frame benchmark questions and translate results for the market.
• Build customer- and partner-based proof points and reference architectures.
• Own competitive intelligence, including teardowns, battlecards, and win themes.
• Build technical sales enablement including demo scripts and discovery questions.
• Ground work in practitioner input from customers, user research, and community activity.
• Partner with the Marketing team on launches, campaigns, and events.

Required qualifications

• 5+ years marketing infrastructure or developer products to technical practitioners in product marketing, technical marketing, developer relations, solutions architecture, or an adjacent technical GTM
• Hands-on technical ability in Python and working in notebooks.
• Ability to build a working demo on an unfamiliar system without help.
• Comfortable on camera for a recurring video series.
• Depth in AI/ML infrastructure, data infrastructure, databases, or developer tools.
• Demonstrated competitive marketing chops.
• Strong writer.
• Ability to own work end to end without a team to support you.
• Strong analytic instincts.
• Use AI thoughtfully as a marketer.
• Excellent communicator.

Nice to have

• Background as an engineer, researcher, solutions architect, or developer advocate before moving into marketing.

Before you apply

• We'll ask you to show us something you built.

About the company

LanceDB is the AI-native Multimodal Lakehouse where researchers curate petabytes of video, audio, and other signals. Customers like Runway, Midjourney, and Netflix build the future of AI on LanceDB.