Senior Team Lead, AI Engineering

About the Company

Deel is a comprehensive platform integrating payroll, HR, compliance, benefits, performance management, and equipment handling tailored for global teams. Operating in over 150 countries, it supports various worker types via AI-enhanced tools and manages a fully internal payroll infrastructure. With a workforce of 7,000 spread across 100+ nations, speaking 74 languages, Deel promotes an innovative and culturally diverse environment focused on continuous learning and customer-driven innovation.

Recognized as the fastest-growing SaaS company, Deel is revolutionizing global talent connection with enterprises, fostering borderless hiring and career opportunities. In 2024, it processed $11.2 billion across nearly 100 currencies and delivered healthcare benefits in 109 countries. The company is valued at $17.3 billion with annual recurring revenue surpassing $1 billion, receiving numerous accolades including CNBC Disruptor 50 and Forbes Cloud 100.

Role Overview

As the Senior Team Lead of AI Engineering, you will oversee the technical vision of Deel's Growth engine, managing a cross-functional team of 6–8 engineers comprising AI development, backend, full-stack, data engineering, data science, and analysis expertise. Your leadership will be driven through technical mastery and architectural guidance, with responsibilities encompassing coding using Node.js, TypeScript, and PostgreSQL alongside AI agent development to enhance platform efficiency.

Responsibilities

• Collaborate with Product, Design, and other teams to scope, develop, test, deploy, and monitor new features end-to-end.
• Make strategic technical decisions to enhance team productivity and maintain alignment with company standards.
• Assist technical leads in architecture planning, conducting code reviews, and delivering design feedback.
• Create and implement AI agents at scale to improve platform yield.
• Utilize AI coding tools to streamline development processes, critically reviewing AI-generated code prior to deployment.
• Effectively communicate technical limitations and details to non-technical stakeholders to ensure shared understanding.

Qualifications

• Minimum 8 years experience as a Backend Engineer working with complex, scalable systems.
• At least 2 years experience guiding or mentoring engineering teams as a tech lead or manager.
• Proficient background in data-related fields such as data engineering, data science, or AI engineering.
• Strong command of Node.js or Python, with expert knowledge of PostgreSQL and ORM libraries like Sequelize or TypeORM.
• Comprehensive understanding of AI product development, capable of designing and deploying AI-powered solutions and agent-based systems.
• Experience with AI-assisted coding tools, discerning proper use versus manual coding.
• Outstanding communication skills with the ability to flag challenges early and manage tasks from design phase through production.

Compensation and Benefits

• Competitive gross base salary reflecting objective criteria including experience, skills, and location; salaries are presented in USD and localized to country currency.
• Commission inclusion in On-Target Earnings (OTE) for eligible commercial roles.
• Stock grants depending on role, employment status, and location.
• Country and employment status-dependent perks and benefits.
• Flexible remote working options with optional access to WeWork facilities.

Equal Opportunity and Accessibility

Deel embraces diversity and is committed to equal opportunity, inviting applications from qualified individuals irrespective of race, religion, gender, sexual orientation or other legally protected attributes. The company provides accommodations throughout the hiring process for applicants with disabilities or special requirements upon request.

Hiring Process

Selection primarily involves interviews and role-specific assessments, occasionally supplemented by relevant background reviews. Automated Employment Decision Tools (AEDT) and AI systems assist evaluations under strict compliance with data protection and labor laws, maintaining human oversight in all hiring decisions. Personal data is protected and not used for AI training. For NYC candidates, an independent bias audit of AEDT has been conducted per local legal standards.