Technical Architect
Salesforce · Posted Sep 30
Customer relationship management, cloud computing, enterprise software, and artificial intelligence solutions
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About the role
Salesforce is the #1 AI CRM, and this Technical Architect role sits in its Customer Success organization, designing and managing the delivery of complex Salesforce solutions for customers. The technology domain spans the Salesforce product suite (Sales, Service, Community, Marketing, and Community Clouds), Agentforce, Apex/Visualforce, Lightning, mobile development, and integration/ETL technologies. The architect will translate business requirements into scalable, AI-first architectures, drive enterprise AI architecture, lead technical design sessions and code reviews, and deliver custom development, integration, and data migration work using tools such as Claude, Cursor, and GitHub Copilot.
What you will do
- Collaborate with client stakeholders to define requirements, deliverables, and set and manage expectations
- Translate business requirements into well-architected solutions that best leverage the Salesforce platform, including identifying opportunities to embed autonomous AI capabilities using Agentforce
- Drive Enterprise AI Architecture by designing and integrating scalable predictive and generative AI solutions within custom Salesforce environments, optimizing performance, resource consumption, and platform governor limits
- Lead technical design sessions; architect and document technical solutions aligned with client business objectives; identify gaps between client's current and desired end states, using advanced LLMs like Claude to review architectural assumptions and simulate system edge cases
- Provide oversight and governance of Salesforce projects, championing an AI-First Delivery & Engineering methodology by utilizing advanced AI tools, developer assistants (e.g., Cursor, Claude), and agentic evaluation frameworks to accelerate implementation
- Follow and help define coding standards. Lead code reviews during projects to ensure quality and appropriate design patterns are followed, utilizing AI coding assistants to help enforce standards and optimize code performance
- Manage the technical delivery of custom development, integrations, and data migration elements of a Salesforce implementation, championing the team's use of tools like GitHub Copilot to accelerate the generation of Apex classes, mock data, and REST integrations
- Focus on Performance Evaluation & ROI by collaborating with customers to develop evaluation frameworks to measure AI performance and business value for their specific use cases
- Maintain a target billable utilization aligned to the role
- Ability to understand a project and deep dive to debug issues, leveraging AI diagnostics to interpret system logs and isolate performance bottlenecks quickly
- From time-to-time, the TA may be expected to partake in other pre-sales activities such as discovery and technical deep-dive sessions, Proof-Of-Concept (POC) development with prospects using AI tools to build prototypes rapidly
- Liaise with Salesforce product teams to support client implementations
- Travels to client sites for projects, estimated 50-75%
Skills used in this role
What the employer is looking for
- Degree or equivalent proven experience required. Experience will be evaluated based on the core proficiencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.)
- 9-14 years CRM experience with a minimum of 6 years on the Salesforce platform
- Expert level understanding of the Salesforce product suite, including Sales, Service, Community, Marketing, and Community Clouds, as well as an understanding of Agentforce architecture
- Understanding of systems architecture and ability to design scalable performance-driven solutions, including using AI platforms to evaluate architectural scaling and load limits
- Understanding of key design patterns and large data volume limitations and best practices, with experience using AI tools to model data distribution and analyze potential data skew risks
- Understanding of data sharing and visibility considerations and how these play into platform architecture
- Familiarity with platform authentication patterns (SAML, SSO, OAuth) and how to configure them securely
- Knowledge of data integration tools and experience integrating Salesforce with different business systems (ETL, CPQ, marketing automation, reporting, etc.), utilizing AI platforms to parse third-party REST API documentation and map complex data schemas
- Strong understanding of environment management, release management, code versioning best practices, and deployment methodologies
- Experience with platform security capabilities (TLS, SSL)
- Practical fluency using AI coding assistants and modern development ecosystems (e.g., Copilot, Cursor, Claude) to accelerate delivery, document technical architecture, and maintain a high standard of code quality
- Expert level experience defining the system architecture landscape, identifying gaps between current and desired end-states, and delivering a comprehensive solution that will enable achievement of the desired business outcomes
- Strong background in design/development of large web-based systems, or complete software product lifecycle exposure
- Active Salesforce certifications or ability to achieve relevant certifications upon hire.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Salesforce
Salesforce, Inc. is a leading global cloud-based enterprise software company specializing in customer relationship management (CRM) and artificial intelligence solutions. Through its integrated Customer 360 platform, the company provides applications for sales, customer service, marketing automation, e-commerce, and analytics. Powered by innovations like Agentforce, Salesforce helps businesses bridge human capability with autonomous AI agents to drive customer success.
- Industry
- Cloud Computing
- Company size
- 87000+ employees
- Founded
- 1999
- Location
- San Francisco, California, USA
- Funding stage
- Public Company
Funding
Public Company · $25B raised
- 2026-03Post-IPO Debt$25B
- 2003-01Venture Round$1M
- 2001-06Series D$46.9M
- 1999-11Series C$13.2M
- 1999-06Series B$3.8M
Leadership
Chair, Chief Executive Officer & Co-Founder
President & Chief Operating and Financial Officer
Co-Founder & Chief Technology Officer, Slack
President & Chief Strategy Officer
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