Manager, Engineering (AI)

TL;DR

Manager, Engineering (AI): Leading the team responsible for building agentic experiences and integrating AI-powered capabilities into the core platform with an accent on conversational workflows and orchestration layers. Focus on translating AI capabilities into scalable user-facing features and ensuring production reliability of LLM-powered systems.

Location: Must be based in one of the following US cities: Atlanta, Austin, Boston, Chicago, Denver, New York, or San Francisco

Salary: $156,000 - $242,000 (Base)

Company

hirify.global is an AI-powered customer engagement platform that helps leading brands create dynamic, individualized experiences at scale.

What you will do

• Lead and support a team of engineers building agentic and AI-enabled product experiences.
• Partner with Product, Design, and Data Science leadership to translate AI capabilities into scalable, user-facing experiences.
• Guide the design and implementation of agent workflows, orchestration logic, and application integrations.
• Ensure AI-powered features are reliable, observable, secure, and ready for production use.
• Drive execution across multiple initiatives, balancing short-term delivery with sustainable technical direction.
• Coach and mentor engineers, supporting career growth and healthy team dynamics.

Requirements

• At least 5 years of hands-on software development experience.
• At least 3 years of experience managing and growing software engineering teams.
• Strong background in application or platform engineering, ideally in a SaaS environment.
• Experience leading teams that integrate AI or ML-powered capabilities into production systems.
• Strong technical judgment across system design, APIs, distributed systems, and developer workflows.
• Must be located in one of the specified US offices/cities.

Nice to have

• Experience leading teams building agentic or LLM-powered product experiences.
• Familiarity with agent frameworks such as Mastra or similar orchestration tools.
• Prior work on decisioning engines, rules engines, or real-time personalization systems.
• Experience collaborating closely with Data Science and ML teams on production integrations.
• Background in marketing technology or customer engagement platforms.

Culture & Benefits

• Competitive salaries, meaningful equity, and 401(k) plan.
• Comprehensive medical, dental, vision, and life insurance.
• Flexible PTO and additional "Balance Days" (paid holidays).
• Paid Sabbatical and fertility & adoption assistance.
• Monthly stipends for employee wellness and professional development.
• Complete laptop workstation provided.