Mulesoft Technical Manager

Salesforce

MuleSoft Technical Manager leading Salesforce’s AI-powered integration practice in India. Managing architects, customer delivery, technical standards, utilization, and enterprise AI solutions.

Posted 8/4/2026full-timeBangalore • 🇮🇳 IndiaSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading technical teams to deliver MuleSoft and AI solutions, with a strong focus on architecture, integration, and project management. Proficient in utilizing advanced AI methodologies and tools to drive enterprise-level solutions while ensuring effective communication across technical and non-technical stakeholders.

Highest-signal resume keywords

MuleSoft Service IntegrationAI Architecture DesignTechnical Workshop FacilitationAPI Security ManagementAgile Project Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

MuleSoftAPI IntegrationPredictive AIGenerative AISDLCCI PipelinesTechnical DocumentationIntegration SecurityPrompt EngineeringIntegration Design Models

Soft Skills

LeadershipCommunicationCoachingMotivationAccountability

Tools & Technologies

SalesforceJenkinsNexusMule AI ChainAgentforce Connectors

Certifications & Qualifications

Bachelor's Degree in Computer ScienceMaster's Degree Preferred

Industry Keywords

Professional ServicesSystems IntegrationEnterprise SoftwareCloud InfrastructureMatrixed Environment

Tech Stack

Tools & technologies

CloudJenkinsSDLC

About the role

Key responsibilities & impact

Lead a team of technical architects and consultants delivering MuleSoft solutions
Drive enterprise AI architecture by designing and integrating scalable predictive and generative AI solutions in Salesforce and MuleSoft environments
Lead technical design sessions and architect/document complex integration solutions aligned with client objectives
Identify gaps between clients’ current and desired end states using advanced LLMs to review assumptions and simulate edge cases
Champion AI-first delivery methodology using AI tools, developer assistants, and agentic evaluation frameworks
Provide hands-on delivery guidance for development, governance, and operational lifecycle standards
Build the practice through internal initiatives, methodology development, team enablement, architect onboarding, and recruiting
Collaborate across Sales, Customer Success, Pre-Sales, and Product teams
Maintain target billable utilization and manage bookings and utilization forecasting
Lead customers, partners, and technical teams through multi-phased delivery projects
Coach team members, oversee projects, and contribute to the technical practice business plan

Requirements

What you’ll need

12+ years of experience leading by example as a player and coach
Professional services leadership experience growing a practice
Strong consulting background at a credible systems integrator or high-growth enterprise software vendor
Experience architecting MuleSoft service integrations across on-premise and cloud infrastructures
Understanding of SDLC pipelines, configuration, and deployment
Experience with API and integration security, authentication, and authorization
6–10 years leading integration teams and architecting solutions within diverse technical teams
Experience conducting technical workshops with technical and business clients
Ability to communicate complex technical concepts to technical and non-technical professionals
Excellent verbal and written technical documentation skills
Experience managing people and projects in a matrixed environment
Ability to establish credibility, motivate people, instill accountability, and achieve results
Agile, proactive, and comfortable with ambiguity and changing priorities
Knowledge of MuleSoft AI developments, including Mule AI Chain, Topic Center, API Catalog, MCP, and Agentforce Connectors
Familiarity with predictive AI, generative AI, RAG, LLMs, and Agentic AI
Passion for continuous learning and experimentation with prompt engineering, new LLM models, and agentic AI frameworks
Basic understanding of Agentforce and building AI agents is good to have
Experience developing with CI pipelines
Knowledge of publish/subscribe integration design models
Experience using Jenkins and Nexus
Experience with Salesforce products and platform technologies
Ability to learn quickly in a dynamic environment
Ability to own project delivery and multitask across projects and feature development
Bachelor degree in computer science or equivalent is desired; master's preferred

Benefits

Comp & perks

Benefits and resources supporting balance and wellbeing
AI agents to accelerate impact
Reasonable accommodation during the application or recruiting process
Equal opportunity and non-discrimination protections