Technical Architect (Pre-Sales) - All Levels
About the role
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. The Salesforce Cloud Technical Architect is a pre-sales customer-facing enterprise domain expert applying broad technical skills, with industry knowledge and deep business acumen, supporting sales teams in developing Salesforce value propositions that align to our customers’ business strategies on digital transformation and cloud adoption.
The Salesforce Cloud Technical Architect is a subject matter expert in one or more categories that may include: business strategy, application architecture, data & information, integration, security, cloud computing, artificial intelligence, distributed platforms, mobile, and analytics. With a solid blend of technical and sales skills, the Salesforce Cloud Technical Architect uses a consultative approach to understand business and technical requirements.
The Salesforce Cloud Technical Architect determines which Salesforce and third party technologies to leverage in customer driven architectures, based upon product knowledge, industry experience, industry standard integration frameworks and Salesforce Architecture methodologies.
With a broad IT background including solution architecture, technical architecture, software/systems engineering, cloud computing, and governance, the Salesforce Cloud Technical Architect leads key discussions and considerations around change programs from both a business and technical perspective. The Salesforce Cloud Technical Architect helps the sales teams develop specific, repeatable propositions and go to market strategies.
The Salesforce Cloud Technical Architect also participates in the delivery of solution best practices, reference architectures, educational sessions and industry summits to existing customers, partners and to internal audiences.
Responsibilities
- Understand business & IT department requirements, translate those business needs into a compelling solution, and present recommendations to executive, technical, and business audiences.
- Apply deep knowledge of enterprise software applications and their delivery.
- Work with code (Apex, Node, Go, R, Java or C#, JavaScript, Python, Ruby, etc.) and maintain database and data management fundamentals.
- Design and architect web and mobile applications, manage application lifecycles, and apply integration principles and tools.
- Manage enterprise data and orchestrate processes across systems.
- Apply principles of network, application, and information security.
- Lead strategic problem solving and thought leadership discussions with executive audiences.
- Manage multiple concurrent projects with excellent time management.
- Travel domestically as required.
Requirements
- Bachelor’s degree in Computer Science, MIS, Software Engineering, Electrical Engineering, Data Science, Management Information Systems, other STEM degrees or equivalent work experience; graduate study a plus.
Qualifications
- Experience working as an architect, solution engineer, IT consultant or developer in a customer facing role that provided differentiated software technology solutions.
- Experience building, implementing, administrating, or maintaining enterprise software (e.g., software engineer, implementation architect, integration architect, or similar).
- Understanding of risk mitigation, compliance and security.
- Experience with design thinking, persona-based discovery or other innovation techniques.
- Proven experience in a specific field, vertical or market segment.
- Knowledge of the Salesforce platform, including Salesforce Certifications and/or Trailhead Superbadges.
Desired Skills
- Agentic AI & Agentforce: Direct experience developing, deploying, and managing agentic AI frameworks, including proficiency with Agentforce and building autonomous agents.
- Prompt Engineering & Large Language Models (LLMs): Ability to design, refine, and optimize prompts using techniques such as chain-of-thought, few-shot, and retrieval-augmented generation (RAG).
- Generative AI Architecture: Experience architecting and integrating generative AI solutions, including API gateways, model management platforms, and data pipelines.
- Data360: Deep understanding of Salesforce Data360 and Data Cloud for unifying, harmonizing, and activating customer data for generative AI and agent-based applications.
- Flow & Orchestration: Advanced proficiency with Salesforce Flow for orchestrating complex business processes involving AI agents and automated workflows.
Professional & Strategic Competencies
- Communication & Leadership: Strong oral, written, presentation, and interpersonal skills; strategic problem-solving and comfort communicating with executive audiences.
- Project Management: Excellent time management and ability to support multiple concurrent projects.
- Continuous Learning: Lifelong learner who is inquisitive, practical, and passionate about technology and sharing knowledge.
- Travel: Willing and able to travel domestically.
Pay
The typical base salary range for this position is $148,190 – $231,980 annually. In California and New York, and select cities in the metropolitan areas of Boston, Chicago, Seattle, and Washington DC, the base pay range is $162,960 – $255,150 per year. The range represents base salary only and does not include company bonus, incentive for sales roles, equity or benefits.