Technical Product Marketing Lead — AI Platform & Data Unification

Mosaic.tech; San Francisco (CA); On-site; USD 155,000 - 195,000; Full time

Job summary

Peregrine Technologies, backed by Silicon Valley investors, is redefining how data is unified and AI is grounded for public safety, government, and enterprise buyers. You will found the Technical Product Marketing function, shaping technical messaging and a competitive narrative across the platform.

You will build a library of technical content, translate complex data architecture into clear customer value, and work with product, engineering, and sales to drive credible, launch-ready

Qualifications

• 5+ years of work experience spanning engineering, management consulting, and product marketing.
• Engineering background with a CS-related degree or equivalent depth.
• Management consulting experience is a strong plus.
• Product marketing experience, ideally in B2B SaaS, AI, or data infrastructure.
• Exceptional writing; ability to communicate technically to non-technical audiences.

Responsibilities

• Own product positioning, messaging, and competitive narrative for Peregrine's platform.
• Demystify the category and build first-principles content explaining architecture and data unification.
• Create technical content library: whitepapers, architecture briefs, security content, and AI substantiation.
• Turn competitive intelligence into sales tools and teardowns against data platforms and AI solutions.
• Contribute to product-led narratives for high-visibility launches.

Skills

Engineering background

Management consulting

Product marketing

Exceptional writing

Cross-functional communication

Job description

Peregrine Technologies, backed by Silicon Valley investors, is redefining how data is unified and AI is grounded for public safety, government, and enterprise buyers. You will found the Technical Product Marketing function, shaping technical messaging and a competitive narrative across the platform.

You will build a library of technical content, translate complex data architecture into clear customer value, and work with product, engineering, and sales to drive credible, launch-ready