AI & Software Engineering Manager

About the role

Lead and mentor a high-performing team of engineers, fostering career growth and technical excellence. Collaborate with product managers, engineering leaders, and cross-functional teams to define the technical vision and balance innovation with business needs. This role influences the future of AI-powered marketing, drives real impact for clients, and mentors engineers.

Responsibilities

• Define and drive the technical vision and roadmap for Alli’s AI-powered solutions, ensuring scalability, reliability, and long-term success.
• Design, develop, and deploy cutting-edge AI-driven features that help brands make smarter marketing decisions.
• Partner with Product Managers, Designers, and cross-functional teams to integrate AI solutions that enhance performance and drive measurable results.
• Guide the team in best practices for clean code, automated testing, version control, and scalable architecture.
• Conduct code reviews, debugging, and testing, ensuring high-quality, maintainable code.
• Stay ahead of emerging AI and machine learning technologies, championing innovation that shapes the future of marketing technology.

Requirements

• 5+ years of software development experience with object-oriented programming, delivering scalable and maintainable solutions.
• 2+ years leading and mentoring a team of engineers, fostering a culture of innovation, collaboration, and growth.
• 2+ years of experience with AWS or other cloud platforms, including deploying and managing applications in cloud environments.
• Proven ability to balance hands-on development with leadership responsibilities, ensuring team success.
• Strong expertise in RESTful API design, system architecture, and SOLID engineering principles.
• Proficiency in backend and frontend technologies, including Python, JavaScript (Node.js, React), and Go.
• Hands-on experience with automated testing, CI/CD pipelines, and cloud-based deployments to ensure reliability and efficiency.
• Familiarity with containerization and orchestration tools like Docker and Kubernetes for scalable application management.
• Knowledge of infrastructure-as-code tools like Terraform or Ansible to streamline deployment processes.
• Strong ability to communicate technical concepts clearly across teams, aligning engineering efforts with business objectives.
• A proactive, problem-solving mindset with a focus on delivering real-world impact and continuous improvement.
• Experience in digital marketing or advertising technology and its intersection with engineering solutions.
• Familiarity with large-scale data processing frameworks such as Apache Spark or Kafka.

Qualifications

• A proactive, problem-solving mindset with a focus on delivering real-world impact and continuous improvement.
• Experience in digital marketing or advertising technology and its intersection with engineering solutions.
• Familiarity with large-scale data processing frameworks such as Apache Spark or Kafka.

Skills

• Interest or familiarity working in the Digital Marketing industry
• AWS Solutions Architect - Professional certification
• Prior experience working with Large Language Models (LLMs)
• Familiarity with Infrastructure-as-Code tools like Terraform
• Strong proficiency in SQL, Python, and other relevant programming languages for data manipulation, analysis, and process automation.
• Experience in a client-facing role, providing both technical advice and strategic insights to help clients achieve their goals

Benefits

• Professional Development: Learning and development programs, mentorship opportunities, and career advancement support.
• Generous Time Off: Paid time off and holiday allowances.
• Parental Leave: Paid parental leave.
• Retirement & Pension Plans: Competitive retirement or pension programs, including contribution matching.
• Fertility and Family Support: Fertility benefits for all team members and their spouses.
• Healthcare: Coverage and support for everyday medical expenses and routine care, tailored by geography.
• Pet Insurance: Coverage for pets' health and financial protection.
• Lifestyle Spending Accounts: Funds for promoting healthy habits and well-being.
• Commuter Benefits: Support for travel and commuting needs, where available.
• Annual Bonus: Eligibility for an annual bonus.
• Volunteering Opportunities: 8 give-back hours to volunteer in local communities.
• AI Enterprise License: Access to AI Enterprise accounts and participation in weekly AI training sessions.