Manager Technical Consulting

Job DescriptionWere Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And we empower you to be a Trailblazer, too — driving performance, career growth, and innovation at scale.
Agentforce represents the next evolution of Salesforce AI — enabling autonomous agents, intelligent workflows, and conversational experiences that transform how work gets done.

About the Role
We are seeking an experienced Agentforce Technical Manager to join our Global Delivery Centre (GDC)
This role blends people leadership, technical architecture, and delivery ownership to scale Agentforce capabilities across global customer implementations.
You will lead teams building intelligent AI agents, copilots, and autonomous workflows while defining architecture standards, reusable frameworks, and enterprise deployment patterns.

Your Impact
Technical Architecture Leadership

Architect scalable, enterprise-grade Agentforce solutions.

Design intelligent agents leveraging LLMs, prompt engineering, and orchestration frameworks.

Define reusable patterns for agent skills, guardrails, and multi-agent collaboration.

Lead integrations across Salesforce Clouds, Data Cloud, MuleSoft, and external systems.

Establish RAG, knowledge grounding, and document ingestion architectures.

Drive performance optimization, monitoring, and telemetry frameworks.

Agentforce Capability Development

Lead end-to-end lifecycle of Agentforce implementations.

Drive agent design, prompt strategies, and skill orchestration.

Build reusable accelerators and deployment frameworks.

Partner with Product and COE teams on pilots and innovation programs.

People Management & Team Leadership

Manage and mentor a team of Agentforce engineers and architects.

Drive hiring, onboarding, and capability development.

Conduct performance reviews and career coaching.

Build high-performing pods aligned to delivery programs.

Foster a culture of innovation, learning, and technical excellence.

Delivery & Stakeholder Engagement

Own end-to-end delivery for Agentforce initiatives.

Partner with Product Owners, Architects, and Customer Success teams.

Manage risks, dependencies, and execution roadmaps.

Support solutioning, estimations, and POD planning.

Governance & Best Practices

Define AI governance and guardrail frameworks.

Establish DevOps, CI/CD, and release standards.

Ensure compliance with Responsible AI and data security policies.

Minimum Qualifications

12+ years of enterprise software engineering experience.

4+ years leading engineering or architecture teams.

Deep expertise in Salesforce platform architecture.

Hands-on experience with Agentforce / conversational AI / intelligent agents.

Experience integrating LLMs and AI services into enterprise applications.

Strong knowledge of integration architectures and APIs.

Proven experience delivering large-scale enterprise solutions.

Preferred Qualifications

Salesforce Architect certifications (Application/System/CTA track).

Experience with Data Cloud and RAG architectures.

Knowledge of prompt engineering and AI orchestration frameworks.

Experience in regulated industries (Finance, Healthcare, Insurance).

Exposure to multi-agent deployments and autonomous workflows.

Technical Skills

Apex, LWC, Flows, OmniStudio

Agentforce Agent Studio & Skills

Data Cloud & Vector Search

MuleSoft / Integration Platforms

Prompt Engineering & Grounding

DevOps & CI/CD

Leadership Competencies

Strategic thinking with strong execution focus

Ability to lead in fast-paced innovation environments

Strong stakeholder communication skills

Talent development and mentoring mindset

Customer-first advisory approach

Why Join Us
At Salesforce, you’ll lead the future of AI-powered work. You’ll build autonomous agents that transform industries while growing your leadership career in one of the most strategic technology domains.