Senior Technical Product Marketing Manager

present of AI; United States; Remote; USD 130,000 - 190,000; Full time

Job summary

LanceDB is seeking a Senior Technical Product Marketing Manager in the United States to translate a deep vector database product into clear, credible messaging for developers and buyers. You will craft technical content, demos and competitive positioning that resonate with technical audiences and support go-to-market efforts.

You will work closely with engineering and sales, building demos and comparisons that illustrate AI workflows, vector search, and agent memory use cases.

Qualifications

• Hands-on familiarity with data and AI tooling.
• Ability to write and present technical content.
• Experience collaborating with engineering and sales teams.
• Experience explaining complex AI/vector database concepts to technical audiences.

Responsibilities

• Turn a deep product into clear stories, demos and competitive positioning.
• Collaborate closely with engineering and sales to align messaging.
• Translate technical use cases into compelling demos and comparisons for AI workflows.

Skills

Technical content writing

Developer audience fluency

AI tooling familiarity

Job description

Senior Technical Product Marketing Manager

A senior technical product marketing manager usually needs to turn a deep product into clear stories, demos and competitive positioning that developers and buyers trust. A strong candidate brings hands on familiarity with data and AI tooling, can write and present technical content, and can work closely with engineering and sales. For a vector database company, that means explaining how the product fits real AI and agent workflows.

How it fits the AI era

AI tools speed up drafting, research and demo scaffolding, so the role shifts toward judgment about what is accurate and worth saying. The human parts stay central: understanding developer pain, choosing the right proof, and building trust with technical audiences. Product marketing becomes more about sharp positioning than volume of content.

How it builds AI experience

This role builds AI experience through hands on work with vector search, retrieval and agent memory use cases, and through translating them into demos and competitive comparisons. A candidate can strengthen this by trying the open source product, building small retrieval examples, and studying how similar tools are positioned. That practical grounding makes the technical content more credible.

Worth showing

• Technical content writing
• Developer audience fluency

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About LanceDB

Open-source, serverless vector database built on the Lance columnar format for multimodal AI and agent memory.