Technical Architect, Salesforce
SMB Pre-Sales
$163-218k
+ ESPP
World's leading CRM provider
Be an early applicant
World's leading CRM provider
1001+ employees
Be an early applicant
$163-218k
+ ESPP
1001+ employees
Company mission
To empower companies to connect with their customers in a whole new way.
Role
Who you are
- 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
- 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
- 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)
Desirable
- 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
What the job involves
- 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
- 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. 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
Our take
Salesforce is a global cloud computing company, best known for its on-demand, comprehensive customer relationship management (CRM) solutions. The company was launched to mitigate the doubts that business owners felt regarding third party companies holding their data.
By providing essential, customer-oriented CRM software, Salesforce places itself at the heart of digitised businesses. Furthermore, by building out its AI capabilities, the company removes the complexity of AI, enabling any business to deliver smarter, personalised and more predictive customer experiences.
Due to the continued innovation offered by the company, over 150,000 companies, both big and small, are growing their business with Salesforce today. Despite a tumultuous 2023 filled with activist investors, a boardroom shake-up and the unprecedented step-down of Co-CEO Bret Taylor, Salesforce continues to close several acquisition deals and managed to drive up its stock value by 96% from the end of 2022 to 2023.
Steph
Company Specialist at Welcome to the Jungle
Insights
-8% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jun 2001
$46.9m
SERIES D
Nov 1999
$13.2m
SERIES C
Total funding: $64.5m
Company benefits
- With 9 standard holidays and four floating holidays, you get a total 13 paid days off each year
Company HQ
SoMa, San Francisco, CA
Leadership
Marc Benioff
(Chair & CEO)Previously Senior Vice President at Oracle Corporation for 13 years.
Parker Harris
(CTO)Previously worked as a Software Engineer for over six years. Harris also co-founded Left Coast Software.
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