Datacloud and Agentforce Solutions Architect, Salesforce
Offers employee stock purchase plan
World's leading CRM provider
Be an early applicant
World's leading CRM provider
1001+ employees
Be an early applicant
Offers employee stock purchase plan
1001+ employees
Company mission
To empower companies to connect with their customers in a whole new way.
Role
Who you are
- Proven track record of running hands-on, successful technical Proof of Concepts (POCs) for complex AI and/or Data solutions
- Relevant background and deep technical expertise in AI, Machine Learning, and/or Advanced Data Solutions (e.g., CDP, Data Warehousing, Data Lake, etc.)
- Fluent in German and English (spoken and written)
- Experience in pre-sales, e.g., solution engineering or technical architecture
- Deep knowledge of data architecture principles, including data modeling, ETL/ELT, data governance, and data quality
- Multi-year experience in software, system, or enterprise architecture disciplines
- Strong understanding of data integration patterns, data synchronization, and data volume considerations in a cloud environment
- Good understanding of the architectural principles of cloud-based platforms, including SaaS, PaaS, multitenancy, and multi-tiered infrastructure
- General interest in staying at the forefront of current technology developments and keeping knowledge up to date
Desirable
- Direct experience with Salesforce Data Cloud, Agentforce, Marketing Cloud, or Service Cloud (Agentforce) solutions
- Experience with Large Language Models (LLMs) and Generative AI architectures
- Salesforce Certified Architect or relevant Data/AI certifications (e.g., AWS, Azure, GCP Data/ML certifications)
- Knowledge of relevant data privacy and compliance requirements is a plus
What the job involves
- The Datacloud and Agentforce Solutions Architect is a key member of the pre-sales organisation
- The focus of this role is to cover complex technical topics within the sales cycle, specifically for our Data Cloud and Agentforce solutions
- You will be instrumental in helping our customers understand how these next-generation Salesforce capabilities fit and integrate into their existing architecture landscape
- A critical component of this role is acting as a hands-on technical expert who designs, develops, and delivers Proof of Concepts (POCs) and hackathons for Data Cloud and Agentforce solutions
- This involves transforming architectural visions into tangible, working solutions that demonstrate the power of AI-driven, unified data to our customers
- Topics will include AI/Machine Learning architecture, data unification, large-scale data architecture, data modeling, solution performance, and system integration patterns
- Support the sales cycle, covering the technical architecture, data strategy, and AI capabilities of Data Cloud and Agentforce
- Design, build, and present hands-on Proof of Concepts (POCs) and demonstrations for Data Cloud and Agentforce, showcasing their power and viability to technical stakeholders
- Explain the technical and business benefits of the Salesforce Customer 360 platform, with a strong focus on Data Cloud and Agentforce, to IT and technical stakeholders
- Understand, assess, and define technical customer requirements, focusing on AI, data management, and operational data utilization
- Advise CIO/CTO/CXO-level contacts and their IT teams on adopting cloud architectures, particularly how to leverage unified customer data and generative AI effectively
- Answer deep technical questions related to the capabilities and integration of Salesforce Data Cloud, AI, and Agentforce solutions
- Establish close relationships with customer technical stakeholders and act as a trusted advisor on data and AI strategy
- Respond to RFPs, focusing on the technical components of data, AI, and integration
- Coach and mentor fellow pre-sales colleagues on the technical aspects of Data Cloud and Agentforce
- Be a thought leader on specific technology topics like Generative AI, Data Strategy, and Hyper-Automation
- Drive innovation projects with impact (POCs, MVPs)
- Maintain awareness of technical best practices related to data governance, security, and compliance
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 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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