Technical Architect, SMB Pre-Sales
Confirmed on the employer's own hiring board on Sep 26, 2026. First seen by Alion on Sep 24, 2026. Salesforce scores A on the Alion truth index.
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Job Category
SalesJob Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword - it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
The Role
Summary
As an SMB Technical Architect, you are a pre-sales, customer-facing expert for our fastest-growing customers. You apply broad technical skills and business acumen to help sales teams align Salesforce AI, Data, and Security solutions with our customers’ data and AI transformation strategies.
- Act as a subject matter expert in business strategy, application architecture, data, integration, security, governance, and AI.
- Use a consultative approach to understand customer business and technical requirements
- Determine optimal data/application/security/AI architectures for customers based on product knowledge, industry standards, and customer needs
- Develop repeatable propositions and go-to-market strategies for sales teams
TAs in the AIforce Era
As TAs, we understand the total Salesforce architecture, from the data context layer to the foundations of Customer 360, to the new era of AI (https://www.salesforce.com/news/stories/aiforce-announcement/). Broadly, this is how we apply our expertise at all layers of the Salesforce ecosystem:
- AIforce. We talk about the security, cost, and governance tradeoffs of LLMs v. Salesforce AI tools.
- Agentforce. We speak to the advantages of deterministic v. probabilistic AI and when to build v. go OOB.
- Customer 360. We advocate for the strengths of Salesforce as a platform and explain why vibe-coding a CRM will fail.
- Data 360. We define integrations with other systems and create a data architecture that makes sense based on customer priorities.
Baseline Requirements
Data & AI
- Hands-on experience with cloud data warehouse and lakehouse platforms (Snowflake, Databricks, BigQuery, Redshift, Azure Synapse, or equivalent)
- Strong SQL skills and comfort with data modeling across structured, semi-structured, and unstructured data
- Practical experience with agentic AI or generative AI
Cloud & Engineering
- Deep knowledge of enterprise data platforms and cloud architectures (AWS, GCP, or Azure - including data services, networking, identity, security, and governance)
- Data management fundamentals: data modeling, MDM, identity resolution, data quality, governance, and lineage
- Integration principles: APIs, event streaming (Kafka/Pub-Sub), ETL/ELT patterns
- Principles of network, application, and information security
Communication, Consulting & Logistics
- Ability to translate complex business and technical requirements into a compelling solution narrative for executive, technical, and business audiences
- Strategic problem solver and thought leader; comfortable at the C-suite level
- Lifelong learner - inquisitive, practical, passionate about technology and sharing knowledge
- Willing and able to travel domestically (1-2 times per quarter)
- Bachelor's degree in Computer Science, MIS, Data Science, Software Engineering, or other STEM field (or equivalent experience)
Preferred Requirements
- Lakehouse & Unified Data Architecture: Deep understanding of modern lakehouse and cloud data platform patterns for unifying, harmonizing, and activating enterprise data. This includes designing data pipelines, semantic layers, and feature stores that prepare and enrich data for AI and agent-based applications
- Agentic Memory & Context Architecture: Experience designing persistent context layers for AI agents, including how structured and unstructured data feeds agent memory, how data schemas serve as server-side context, and how a unified data platform acts as the persistent knowledge base and scratchpad across agentic loops
- Generative AI Architecture: Experience architecting and integrating generative AI solutions into enterprise systems, including API gateways, model management platforms, embedding pipelines, vector databases, and data flows necessary for serving LLMs at scale in production
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance andbe your best, and our AI agents accelerate your impact so you cando your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what’s possible - for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
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Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $148,190 - $198,170 annually There is a different range applicable to specific work locations. In California and New York, and select cities in the metropolitan areas of Boston, Chicago, Seattle, and Washington DC, the base pay range for this role in those locations is $162,960 - $217,980 per year. Your recruiter can share more about the specific salary range for the job location during the hiring process. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.