Technical Product Marketing Principal (AI/ML)

Location: Remote (USA)

Salary: $150,000–$269,000 base salary annually

Company

hirify.global provides a cloud platform combining digital, core, analytics, and AI capabilities for property and casualty insurers worldwide.

What you will do

• Define and refine the positioning and messaging for hirify.global AI, including AI Assistants, Agents, and the Agentic Framework.
• Create audience-specific narratives for data, governance, orchestration, scale, insurance operations, developers, and solution architects.
• Translate product roadmaps, reference architectures, and AI concepts into value-based messaging, sales plays, enablement, and executive presentations.
• Lead competitive teardowns and maintain battlecards, objection-handling guides, and point-of-view materials for AI-influenced deals.
• Develop whitepapers, technical briefs, reference architectures, FAQs, social content, and executive decks explaining how hirify.global AI works.
• Collaborate with Product Management, Engineering, Sales, Customer Success, analysts, media, partners, and executive stakeholders.

Requirements

• 5+ years working directly with AI/ML products or platforms, including technologies such as LLMs, RAG pipelines, vector stores, agent frameworks, or MLOps/LLMOps tooling.
• Deep understanding of predictive analytics, generative AI, agentic AI, and multi-agent systems, including appropriate human-in-the-loop patterns for regulated environments.
• Ability to explain data residency, tenant isolation, observability, inference latency, RBAC, and zero-trust architectures in business language.
• Ability to discuss reference architectures and sequence diagrams with engineering and distill them into clear narratives for executives.
• Proven experience presenting to and influencing C-level audiences, with strong writing skills across briefs, whitepapers, and keynote decks.
• 15+ years in B2B enterprise product marketing, technical marketing, solutions marketing, or adjacent roles, including meaningful experience with data and/or AI/ML offerings.

Nice to have

• Hands-on experience with cloud platforms, MLOps, LLMOps, data platforms, RAG workflows, vector stores, or orchestration frameworks.
• Experience marketing or selling AI-powered capabilities such as retrieval architectures, prompts, guardrails, evaluation frameworks, and safety or monitoring pipelines.
• Experience launching AI-driven products in regulated industries such as financial services, insurance, healthcare, or the public sector.
• Undergraduate degree in Computer Science, Computer Engineering, or Data Science, along with previous hands-on development experience.

Culture & Benefits

• AI is a core priority of the product and platform strategy.
• High-visibility collaboration across Product, Engineering, Sales, Customer Success, and Executive Leadership.
• Health, dental, and vision insurance, paid time off, and a company-sponsored retirement plan for eligible employees.
• Potential eligibility for annual bonuses, commissions, and/or long-term incentive awards depending on role and performance.