Technical Architect, SMB Pre-Sales

Description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Sales

Job 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.

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 and be your best , and our AI agents accelerate your impact so you can do 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.