Technical Product Marketing Manager (AI)

Location: 100% remote anywhere in the United States; approximately 10–15% travel required.

Company

hirify.global provides data integrity software, data enrichment products, and strategic services for more than 12,000 organizations worldwide.

What you will do

• Create technical messaging that explains product capabilities and architecture to developers, architects, data practitioners, and technical evaluators.
• Develop demonstrations, solution guides, presentations, videos, blogs, and evaluation materials for assigned products.
• Support product launches, customer meetings, webinars, conferences, industry events, and other technical engagements.
• Produce technical enablement materials for Sales Engineering, Customer Success, and partners.
• Contribute to developer portals, product-led growth initiatives, and ecosystem integrations.
• Collaborate with Product Marketing, Product Management, Engineering, Sales Engineering, Customer Success, and Marketing teams while developing expertise in AI and emerging technologies.

Requirements

• Bachelor’s degree in Marketing, Computer Science, Engineering, Information Systems, or a related field; equivalent experience is accepted.
• 3–6 years of experience in Technical Product Marketing, Product Marketing, Solutions Engineering, Product Management, Developer Relations, or a related technical go-to-market role.
• Ability to communicate complex technical concepts clearly to technical and business audiences.
• Experience creating technical presentations, demonstrations, marketing content, and enablement materials.
• Working knowledge of enterprise software, cloud platforms, APIs, integrations, data management, or AI technologies.
• Ability to collaborate across functions, manage multiple projects, and apply strong analytical, problem-solving, writing, verbal, and presentation skills.

Nice to have

• Experience with enterprise SaaS, data management, data integration, data quality, data governance, location intelligence, or related data platforms.
• Familiarity with AWS, Microsoft Azure, Google Cloud, Snowflake, or Databricks.
• Background in Product Management, Solutions Engineering, Presales, or another customer-facing technical role.
• Familiarity with developer ecosystems, APIs, SDKs, open standards, or technical community engagement.
• Hands-on experience configuring software, building integrations, scripting, or creating technical evaluation experiences.

Culture & Benefits

• Work-from-anywhere culture within the United States.
• Distributed environment with a presence in 30 countries and offices across more than five continents.
• Career development opportunities focused on growth, learning, and community building.
• AI-first working environment requiring employees to use and critically evaluate generative AI tools.
• Core values include openness, determination, individuality, and collaboration.