Senior Manager, AI Enablement (AI)

Location: Hybrid, based in the New York City office

Base wage: $188,000–$242,000 per year.

Company

hirify.global helps businesses manage HR needs and provides data-driven products and services for running their businesses.

What you will do

• Lead, coach, hire, and develop the AI Enablement engineering team while setting its technical direction, priorities, practices, and delivery processes.
• Own and evolve Claude and Cowork as the employee AI platform, including integrations, MCP servers, APIs, automation, reliability, and responsible access controls.
• Design, develop, deploy, and maintain AI agents and applications that interact with tools, execute workflows, and operate across enterprise systems.
• Establish approaches for agent orchestration, tool calling, context management, error handling, evaluation, observability, and production reliability.
• Enable employees to build and operate applications through reusable deployment patterns, templates, tooling, CI/CD practices, guardrails, workshops, documentation, and self-service resources.
• Measure platform adoption, agent performance, deployment success, employee enablement, and business value, using feedback and operational data for continuous improvement.

Requirements

• Significant professional experience in software engineering, applied AI, or platform engineering, with the depth to architect systems, review code, and contribute directly.
• At least 4 years of direct engineering management experience with responsibility for hiring, performance, and career development; tech lead experience alone is insufficient.
• Hands-on experience building and deploying AI-powered applications or agents with modern large language models.
• Strong understanding of agentic AI architectures, including tool calling, orchestration, APIs, and external-system integrations.
• Proficiency in Python or another modern programming language, including code review, troubleshooting unfamiliar applications, and direct engineering contributions.
• Experience building and operating production applications, including deployment, dependency management, CI/CD, monitoring, and incident troubleshooting.
• Strong understanding of software architecture, API design, authentication, authorization, and secure development practices.
• Experience with cloud platforms, containerization, and modern application deployment patterns.
• Ability to balance hands-on technical work with engineering leadership, prioritization, team development, communication, collaboration, and practical problem-solving focused on sustainable business value.

Nice to have

• Experience with Claude, Anthropic APIs, Model Context Protocol, comparable AI platforms, LangGraph, Google ADK, or similar orchestration tools.
• Experience establishing internal developer platforms, engineering enablement programs, or self-service development capabilities.
• Familiarity with AI-assisted software development tools and moving generated applications into production.
• Experience implementing evaluation frameworks, tracing, monitoring, and reliability controls for AI agents.
• Experience in regulated environments involving security, privacy, and compliance.
• Experience building or scaling a new engineering team or technical function.

Culture & Benefits

• Welcoming, casual, supportive, and entrepreneurial working environment.
• Benefits, wellness program offerings, company retreats, and opportunities to learn from leaders in the startup community.
• Collaborative culture centered on technical ownership, knowledge sharing, continuous improvement, and employee enablement.
• Equal opportunity workplace with reasonable accommodations for qualified candidates and employees.
• Compensation varies according to skills, relevant experience, and work location.