Lead Researcher, Enterprise AI & Data Platform

100 Salesforce, Inc.; Seattle (WA); On-site; USD 197,000 - 345,000; Full time

Benefits offered by this job

Time off programs

Medical insurance

Dental insurance

Vision insurance

Mental health support

Paid parental leave

Life and disability insurance

401(k)

Employee stock purchasing program

Job summary

Salesforce seeks a Principal Researcher to distill complex AI and data platform problems into actionable insights, partnering with product, design, and engineering to shape strategy rooted in data and customer value.

The role requires 10+ years of research in tech contexts, advanced qualitative and quantitative methods, and a proven ability to influence product direction while collaborating across teams. You will help drive enterprise software innovation at scale.

Qualifications

• 10+ years of experience in product or user research in technology contexts.
• Advanced understanding of qualitative and quantitative methods.
• Excellent project management, storytelling, and presentation skills.
• Proficiency in survey methodologies and tools.
• Proven track record influencing product strategy with insights.

Responsibilities

• Lead full research initiatives from planning to execution and synthesis.
• Partner with senior management across product, design, engineering, and customer success.
• Conduct strategic, generative, and evaluative research using diverse methods.
• Synthesize findings into actionable narratives and business value.
• Mentor and collaborate across the Research & Insights organization.

Skills

Experience with research in product or

Advanced research methods

Project management

Survey methodologies

Influencing product direction

Cross-functional collaboration

Education

University degree in research or related discipline

Tools

MaxDiff

Conjoint

Segmentation

SPSS

R

Job description

Salesforce seeks a Principal Researcher to distill complex AI and data platform problems into actionable insights, partnering with product, design, and engineering to shape strategy rooted in data and customer value.

The role requires 10+ years of research in tech contexts, advanced qualitative and quantitative methods, and a proven ability to influence product direction while collaborating across teams. You will help drive enterprise software innovation at scale.