Staff Researcher, Product Research & Insights

Salesforce

. Investigate how people and teams adopt, collaborate with, and delegate work to AI agents .

Posted 11/10/2026full-timeUnited StatesLead💰 $172,500 - $260,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in user and product research with a focus on AI assistants and agents, employing both qualitative and quantitative methods to influence product strategy and enhance workplace collaboration. Strong ability to synthesize findings into actionable insights and frameworks while mentoring cross-functional teams.

Highest-signal resume keywords

User Research ExperienceQualitative And Quantitative Data AnalysisCross-Functional CollaborationAI Assistants And Agents ExpertiseResearch Framework Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Research MethodologiesData Collection TechniquesProduct Strategy TranslationSynthesis And StorytellingLongitudinal StudiesContextual InquiryField ResearchDiary StudiesAI Interaction ResearchFramework Creation

Soft Skills

Strong Communication SkillsMentoring SkillsCuriosity About AI EffectsJudgment About Methodological Trade-OffsInfluencing Senior Stakeholders

Tools & Technologies

Research Operations ToolsCollaboration ToolsData Analysis SoftwareDocumentation ToolsProduct Management Software

Industry Keywords

Workplace CollaborationEnterprise SaaSKnowledge WorkersMulti-Person WorkflowsAdoption BarriersGovernanceAutomationHuman–AI InteractionProduct RoadmappingBehavioral Data

About the role

Key responsibilities & impact

Investigate how people and teams adopt, collaborate with, and delegate work to AI agents
Study how AI agents affect shared context, coordination, communication, trust, and accountability across teams
Identify where agents create meaningful value and where they introduce friction or risk
Help Slack better support collaboration among people and agents
Independently shape and execute a research agenda focused on Slack's Ecosystem
Lead research scoping, prioritization, and roadmapping across multiple teams focused on AI agents and workplace collaboration
Turn ambiguous questions into focused, actionable research programs
Study real-world workflows involving discovery, adoption, delegation, supervision, and collaboration with agents
Design and conduct rigorous foundational and evaluative research using qualitative and quantitative methods
Partner with Product, Design, Engineering, Data Science, and other insights functions
Connect customer evidence with product decisions and triangulate findings across studies, behavioral data, and customer feedback
Build narratives and reusable frameworks synthesizing multiple lines of inquiry
Identify new product opportunities and clarify user and business consequences
Influence senior stakeholders through practical, evidence-based recommendations
Help teams distinguish emerging signals from assumptions and prioritize important uncertainties
Mentor colleagues
Collaborate with Research Operations to improve research practices, tools, documentation, and delivery of high-quality work

Requirements

What you’ll need

8+ years of user or product research experience, or equivalent demonstrated experience delivering research at comparable scope and impact
Track record of independently leading ambiguous research across multiple product teams
Expertise in multiple research approaches
Strong qualitative and quantitative data collection and analysis skills
Sound judgment about methodological trade-offs
Experience translating research into product strategy, roadmap priorities, or consequential product decisions in a fast-moving product organization
Strong synthesis, storytelling, and communication skills
Experience partnering with senior stakeholders
Experience creating frameworks that help teams understand and act on evidence
Strong cross-functional collaboration and mentoring skills
Working fluency in AI assistants and agents
Curiosity about the effects of AI assistants and agents on real workplace behavior
Preferred: research experience with AI assistants, agents, automation, or human–AI interaction
Preferred: experience studying workplace collaboration, enterprise SaaS, knowledge workers, or multi-person and organizational workflows
Preferred: experience with longitudinal studies, diary studies, contextual inquiry, or field research
Preferred: experience partnering with Data Science
Preferred: experience researching enterprise adoption, administrator needs, governance, or adoption barriers
Portfolio required
Applicants must be assessed based on merit, competence, and qualifications

Benefits

Comp & perks

Time off programs
Medical insurance
Dental insurance
Vision insurance
Mental health support
Paid parental leave
Life insurance
Disability insurance
401(k)
Employee stock purchasing program
Incentive compensation may be available for certain roles
Equity may be available for certain roles
Reasonable accommodation during the application or recruiting process