Sales Enablement Manager (AI)

Location: Remote in the United States, or London, New York, and San Mateo; travel of approximately 15–20% is required for onboarding weeks, offsites, and kickoffs.

Salary: $175,000–$200,000 plus equity

Company

hirify.global provides infrastructure for building, training, and serving specialized AI models across text, image, embedding, audio, and multimodal workloads.

What you will do

• Own the knowledge-as-a-data-product vision by auditing GTM content and implementing taxonomy, governance, quality standards, and maintenance processes.
• Scale the internal GTM Tutor App by improving its topic framework, user experience, backend reliability, and extensibility.
• Build recurring content workflows with Product, Marketing, Field Engineering, and Sales to turn launches and campaigns into field-ready and customer-facing assets.
• Design and facilitate live and virtual enablement sessions covering product knowledge, sales skills, competitive positioning, and internal processes.
• Support role-based ramp for Account Executives, AI Field Engineers, and BDRs, while codifying field best practices into repeatable plays.
• Design and ship AI agents that improve Account Executive efficiency and surface Revenue Operations insights.

Requirements

• 5+ years of experience in GTM enablement, sales, solutions, or Revenue Operations, with end-to-end ownership of enablement programs.
• Strong content development, live facilitation, program management, and process-building skills.
• Hands-on experience building AI agents or applications using prompting, no-code, low-code, or code.
• Experience structuring knowledge and content through taxonomies, governance, quality standards, or similar systems.
• Ability to enable technical sellers to engage credibly with technical buyers and work independently across Product, Marketing, and Sales.
• Willingness and ability to travel approximately 15–20%.

Nice to have

• Experience as a quota-carrying Account Executive, AI Field Engineer, or similar field individual contributor.
• Background in AI/ML infrastructure, developer tools, API-first businesses, or consumption-based pricing.
• Experience with LMS, CMS, CRM, and sales enablement platforms.
• Experience designing knowledge bases for AI/LLM retrieval, RAG, or agents.

Culture & Benefits

• Work on AI infrastructure challenges including low-latency inference and scalable model serving.
• Build technology used by businesses and developers working with AI.
• High ownership and direct impact in a fast-growing startup environment.
• Collaborate with engineers and AI researchers on advanced technology.
• Equity is included in the compensation package.