Data Foundation AI Pre-Sales Solution Engineer

Salesforce, Inc.; Seattle (WA); On-site; USD 70,000 - 245,000; Full time

Job summary

Salesforce is seeking multiple Pre‑Sales Solution Engineers for the Data Foundation team in Seattle to help turn connected data into reliable AI-enabled outcomes. You’ll partner with sales to align solutions with client vision, support demonstrations from concept to implementation, and drive customer success across industries.

Ideal candidates have a CS degree, 4+ years of experience, hands-on Java development, cloud and data-management knowledge, and a willingness to travel 30–40%.

Qualifications

• Bachelor's degree in Computer Science required.
• Minimum of 4 years of professional experience.
• Hands-on Java development experience or ability to code against Java APIs.
• Experience with cloud technologies and data management concepts.
• Ability to travel 30-40% and work across time zones.

Responsibilities

• Build trusted relationships to qualify deals and guide customers toward value.
• Conduct technical discovery meetings to document requirements and support proposals.
• Deliver architecture reframes and white-boarding through customer scenarios.
• Respond to RFIs/RFPs and requests for information.
• Lead demonstrations and workshops showing Data Foundation capabilities from concept to implementation.
• Collaborate with Product Management, Engineering, and Marketing to feed product improvements.
• Stay ahead of evolving AI trends and agentic concepts in solutions.

Skills

Java development

Cloud technologies

RFIs/RFPs response

Customer engagement

Solution architecture

Education

Bachelor's degree in Computer Science

Tools

MuleSoft

Informatica

API integration

Data governance

Job description

Salesforce is seeking multiple Pre‑Sales Solution Engineers for the Data Foundation team in Seattle to help turn connected data into reliable AI-enabled outcomes. You’ll partner with sales to align solutions with client vision, support demonstrations from concept to implementation, and drive customer success across industries.

Ideal candidates have a CS degree, 4+ years of experience, hands-on Java development, cloud and data-management knowledge, and a willingness to travel 30–40%.