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Salesforce Architect Manager

salesforce

New
Hybrid Senior 🇬🇧 English
Salesforce API CPQ ETL SAML SSO OAuth Agentforce

Job description

About the role

Salesforce is looking for a Technical Architect and Salesforce Manager to join its consulting team. This hybrid role combines being a billable Technical Architect on active client engagements, designing robust and scalable Salesforce solutions, with managing and mentoring a team of Salesforce Developers. The position requires travel to client sites, estimated at 50-75%, and a target billable utilisation.

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, document solutions and use advanced LLMs to review architectural assumptions and simulate edge cases.
  • Champion an AI-first delivery approach using AI tools, developer assistants and agentic evaluation frameworks.
  • Oversee Salesforce projects, guide delivery teams on AI-assisted tooling, follow coding standards and lead code reviews.
  • Manage custom development, integrations and data migration, and debug issues with AI diagnostics.
  • Occasionally take part in technical landscape discovery and Proof-of-Concept work with prospects.
  • Liaise with Salesforce product teams and train team members on the latest products and AI development tools.

Required profile

  • 9-15 years of CRM experience, with at least 6 years on the Salesforce platform.
  • Proven experience integrating systems via APIs and a strong development background.
  • Ability to lead and motivate a team and to work with global teams, with flexibility on work hours.
  • 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 with ETL, CPQ, marketing automation and reporting.
  • Environment management, release management, code versioning and deployment methodologies.
  • Background in large web-based systems or full software product lifecycle.

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Source : ats:workday

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Published 12 hours ago

Expires 1 month from now

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