Justworks Senior Manager, AI Enablement at Justworks leads a new team to make AI-powered development accessible across the company. The role includes hiring, coaching engineers, and owning the core employee AI platform.
Responsibilities
Justworkers are already using AI to solve problems, build applications, and automate their work. They know their challenges best, and we're building an AI Enablement team to give them the tools, engineering expertise, and support to turn their ideas into reliable, secure, production-ready solutions.
As our Senior Manager, AI Enablement, you'll lead a new team focused on making AI-powered development and automation more accessible across Justworks. You'll start with one senior engineer, help hire another, and build a collaborative environment where both can grow, learn from each other, and do their best work.
Together, your team will own our core employee AI platform, develop purpose-built AI agents and automation, and establish the engineering foundations that help Justworkers build and deploy applications independently. You'll bring together expertise in applied AI, enterprise systems, and software engineering to deliver solutions that make a meaningful difference in how people work.
We're looking for a people-first leader who genuinely enjoys developing engineers and hasn't lost their curiosity for building things. Someone who can guide technical decisions, get hands-on when needed, and knows when to step back and let their team take ownership. You'll lead with trust, coaching, and thoughtful feedback while helping your engineers grow beyond their individual areas of expertise.
This is a new function within IT Services, with a clear mission and plenty of room to shape how it operates. You'll have the opportunity to build a team, establish its culture and technical direction, and make a lasting impact on how Justworkers use technology to get things done.
Lead and Develop the AI Enablement Team
Lead, coach, and develop a team of senior engineers with complementary expertise in enterprise AI platforms, integrations, applied AI, and software engineering.
Establish the team's technical direction, priorities, engineering practices, and delivery processes.
Remain hands-on with solution architecture, development, debugging, and technical problem-solving.
Partner with stakeholders across Justworks to understand business needs, prioritize opportunities, and deliver solutions with measurable impact.
Build a culture of technical ownership, collaboration, knowledge sharing, and continuous improvement.
Own and Evolve the Employee AI Platform
Qualification
Experience with cloud platformsA practical approach to AIExperience with ClaudeWhat Success Looks Like
Required
Significant professional experience in software engineering, applied AI, or platform engineering, with enough depth to architect systems, review code, and contribute directly to the team’s technical work.
A minimum of 4 years managing engineers directly, with full responsibility for hiring, performance, and career development. Tech lead experience alone is not a substitute.
Demonstrated hands-on experience building and deploying AI-powered applications or agents using modern large language models.
Strong understanding of agentic AI architectures, including tool calling, agent orchestration, APIs, and integrations with external systems.
Proficiency in Python or another modern programming language, with the ability to review code, troubleshoot unfamiliar applications, and contribute directly to engineering solutions.
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 contributions with engineering leadership, prioritization, and team development.
Strong communication and collaboration skills, particularly when working with employees and stakeholders who have varying levels of technical experience.
A practical approach to AI: focused on solving real problems, improving workflows, and delivering sustainable solutions rather than adopting technology for its own sake.
Preferred
Experience with Claude, Anthropic APIs, Model Context Protocol (MCP), or comparable AI platforms and integration frameworks.
Experience with agent development frameworks such as 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 the challenges of moving generated applications into production.
Experience implementing evaluation frameworks, tracing, monitoring, and reliability controls for AI agents.
Experience working in regulated environments where security, privacy, and compliance are important considerations.
Experience building or scaling a new engineering team or technical function.
