Practice Manager

We are looking for a Practice Manager to lead a team of technical architects and consultants in delivering MuleSoft solutions to customers. The successful candidate will have experience in leading a team, architecting MuleSoft services integrations, and driving Enterprise AI Architecture.

Responsibilities:

• Lead a team of technical architects and consultants as they deliver MuleSoft solutions to customers.
• Drive Enterprise AI Architecture by designing and integrating scalable predictive and generative AI solutions within custom Salesforce and MuleSoft environments.
• Lead technical design sessions; architect and document complex integration solutions aligned with client business objectives.
• Champion an AI-first delivery methodology, utilizing advanced AI tools and agentic evaluation frameworks to accelerate API implementation and integration lifecycle velocity across projects.
• Provide hands-on delivery guidance to influence standards for development, governance, and the operational life cycle.
• Build our practice through leading internal initiatives, contributing to the technical practice business plan, developing methodology, creating team enablement, onboarding new architects, and recruiting to build the team.
• Collaborate and align across Sales, Customer Success, Pre-Sales, and Product teams to ensure customer success.
• Maintain a target billable utilization and manage operational excellence when it comes to bookings and utilization forecasting.

Requirements:

• 12+ years experience leading by example and being a player and a coach.
• A background as a professional services leader with experience growing a practice and a strong consulting background in a credible system integrator firm or high growth enterprise software vendor.
• Experience architecting MuleSoft services integrations including a solid understanding of on-premise and cloud-based infrastructures, SDLC pipelines, configuration, and deployment.
• Experience with API and integration security with a solid grasp of authentication and authorization concepts and principles.
• Familiarity with AI & ML concepts, including predictive and generative AI, Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and Agentic AI.

Benefits:

• Competitive salary
• Comprehensive benefits package
• Opportunities for career growth and development