Senior Technical Manager - Salesforce

About the role

Salesforce is looking for a Technical Consulting Senior Manager, a leader of leaders who designs and manages the delivery of complex Salesforce solutions for customers. The role combines a broad technical and enterprise skillset with deep expertise in Salesforce, Apex/Visualforce, Lightning, mobile development, integration and ETL technologies, and includes leading a team of technical and solution implementors.

Key responsibilities

• Work with client stakeholders to define requirements, deliverables and expectations
• Design and integrate scalable predictive and generative AI solutions in custom Salesforce environments, optimising performance, resource consumption and platform governor limits
• Lead technical design sessions, architect and document solutions, and use advanced LLMs to review architectural assumptions and simulate edge cases
• Champion an AI-first delivery methodology using AI tools, developer assistants and agentic evaluation frameworks
• Oversight and governance of Salesforce projects, guiding teams on the effective use of AI-assisted tooling
• Define coding standards, lead code reviews and encourage the use of AI coding assistants
• Manage custom development, integrations and data migration, and debug issues with AI diagnostics
• Occasionally run technical landscape discovery and POCs, liaise with Salesforce product teams, and travel to client sites (estimated 50-75%)
• Maintain billable utilisation targets and train team members on the latest Salesforce products and AI development tools

Required profile

• 14-18 years of CRM experience, with at least 10 years on the Salesforce platform
• Proven experience building and growing a practice and managing a team of technical and solution implementors
• Flexibility with work hours to work with global teams
• Active Salesforce certifications or ability to obtain relevant ones after hire

Required skills

• Expert knowledge of the Salesforce product suite (Sales, Service, Community, Marketing, Commerce Clouds) and a foundation in its AI offerings
• Systems architecture, design patterns, data sharing and visibility, and authentication patterns (SAML, SSO, OAuth)
• Data integration tools and experience integrating Salesforce with ETL, CPQ, marketing automation and reporting systems
• Environment management, release management, code versioning and deployment methodologies
• Background in large web-based systems or full software product lifecycle