СШАSenior Manager, AI Enablement
1 нед. назад
СШАSenior
ai
Lead AI Enablement team to develop AI-powered production solutions and build engineering capabilities.
О компании
- At , you’ll enjoy a welcoming and casual environment, great benefits, wellness program offerings, company retreats, and the ability to interact with and learn from leaders in the startup community. We work hard and care about our most prized asset - our people.
- We’re helping businesses get off the ground by enabling them to focus on running their business. We solve HR issues. We’re data-driven and never stop iterating. If you’d like to work in a supportive, entrepreneurial environment, are interested in building something meaningful and having fun while doing it, we’d love to hear from you.
- We're united by shared goals and shared motivations at . These are best summed up in our company values, which are reflected in our product and in our team.
- Our Values
- If this sounds like you, you’ll fit right in.
Обязанности
- 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 . 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.
- In your first 6–12 months, you'll have:
- Established a clear technical roadmap and operating model for the AI Enablement team.
- Built a collaborative team where engineers share expertise and can contribute across the team's responsibilities.
- Improved the reliability, capabilities, and accessibility of ' employee AI platform.
- Delivered production-ready AI agents or automation that solve meaningful business problems.
- Introduced reusable engineering tools and deployment standards that help employees successfully move applications into production.
- Established education and self-service resources that reduce recurring technical barriers.
- Developed visibility into AI adoption, employee-built applications, recurring engineering challenges, and the impact of the team's work.
- Above all, success means more Justworkers can confidently build and ship reliable applications, whether they're powered by AI or built with AI.
- The base wage range for this position based in our New York City Office is targeted at $188,000.00 - $242,000.00 per year.
- Use of AI Tools. We may use artificial intelligence and other automated tools to process your personal information as part of the recruitment process. For example, we may use these tools to record, transcribe, and summarize interviews, to help organize and review applications, and to help us assess candidates by comparing their skills, experience, and qualifications against the criteria for open roles. These tools support, but do not replace, human review. We do not make hiring decisions based solely on automated processing, and all final hiring decisions are made by recruiters and hiring managers. Depending on where you reside, you may have rights regarding our use of automated tools. For more information, please contact us at privacy@.com . #LI-Hybrid #LI-RG1
- Actual compensation is based on multiple factors that are unique to each candidate, including and not limited to skill set, level of relevant experience, and specific work location. Salary ranges for positions based in other locations may differ based on the cost of labor in that location.
- For more information about ’ Total Reward Philosophy, including all of the perks and benefits we are proud to offer our team members, please visit Total Rewards @ .
Требования
- 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.
Будет плюсом
- 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.
Другое
- 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 to understand business needs, prioritize opportunities, and deliver solutions with measurable impact.
- Build a culture of technical ownership, collaboration, knowledge sharing, and continuous improvement.
- Oversee the administration, integration, reliability, and ongoing evolution of Claude and Cowork as ' core employee AI platform.
- Guide the development of integrations, MCP servers, APIs, and automation that extend platform capabilities and connect AI to enterprise systems.
- Partner with Security, Governance, and other technical teams to establish appropriate controls for data access, authentication, authorization, and responsible AI usage.
- Evaluate emerging AI capabilities and determine where they can improve employee productivity or unlock new workflows.
- Lead the design, development, deployment, and maintenance of AI agents and applications that solve real business problems.
- Build systems that go beyond conversational AI, enabling agents to interact with tools, execute workflows, and take actions across enterprise applications.
- Establish engineering approaches for agent orchestration, tool calling, context management, error handling, evaluation, and observability.
- Work with business and technical partners to translate opportunities into practical, maintainable solutions.
- Balance rapid experimentation with the security, reliability, and operational requirements of production systems.
- Help employees successfully develop, deploy, and maintain applications created using AI-assisted development tools.
- Provide technical leadership when employee-built applications encounter challenges involving dependencies, runtime environments, APIs, authentication, deployment, or application architecture.
- Establish reusable deployment patterns, templates, tooling, and CI/CD practices that reduce friction between local development and production.
- Develop engineering standards and guardrails that make secure, reliable application development easier for employees.
- Ensure the team provides targeted engineering assistance without becoming the default owner or support team for every employee-built application.
- Guide the development of office hours, workshops, documentation, and self-service resources that help employees build and operate solutions independently.
- Identify recurring development and deployment challenges and turn them into reusable tools, guidance, or platform improvements.
- Establish meaningful measures of AI platform adoption, agent performance, deployment success, employee enablement, and business value.
- Use employee feedback and operational data to continuously improve the team's capabilities and priorities.
- is committed to maintaining a workplace where diversity of identity, culture, and life experience is the norm and is celebrated authentically and respected consistently. Diversity in our work, our people, and our product drives creativity and innovation, entrepreneurial leadership and integrity, competitiveness, and collaboration throughout our business and in the market. We depend on our differences to make our team stronger, our workplace more dynamic, and our product accessible to all of our customers.
- Our DEIB Report