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Salesforce

Workplace Research Manager

Salesforce is hiring a Workplace Research Manager in San Francisco, United States. It pays $117k-$178k a year and Level rates it ; you can apply on Salesforce.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • The posting mentions AI agents, survey design and data analysis among its tools and skills.
  • Level classes it as a mid-level role.
  • Salesforce has 1,500+ other open roles on Level.
  • Posted within the past week.

AI in this role

Manage the global site experience survey program, translating employee sentiment datasets into actionable findings for workplace innovation teams.

ai-agentssurvey-designdata-analysisquantitative-researchemployee-sentimentprogram-management

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Real Estate & Facility Management

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

About Real Estate and Workplace Services

The Real Estate and Workplace Services (REWS) organization designs, operates, and evolves the environments and experiences that enable Salesforce employees and customers to do their best work. Spanning more than 30 countries, our Agentic Campus reflects our values and culture – bringing together humans, agents, and robots to create inclusive, purpose-driven spaces where people feel a true sense of belonging. As customer zero of Salesforce’s own technology, REWS is leading the way, creating innovative and dynamic spaces that provide seamless and inspiring workplace experiences.



The Experience

The REWS Workplace Innovation team is seeking a Workplace Research Manager to serve as the primary owner, operational driver, and analytical engine of our global Site Experience Survey Program. In this individual contributor role, you will bring analytical curiosity, proactive problem-solving, and quantitative rigor to our research, translating employee sentiment datasets into actionable findings that uncover the underlying drivers of workplace experience.

  • Reporting to the Senior Manager, Workplace Research, you will serve as a dedicated survey research partner and subject matter expert across Workplace Innovation teams (Pilots, Space Insights) and other REWS stakeholders.
  • In this role, you will own the global Site Experience Survey Program end-to-end, partnering closely with the Site Study Program Lead and Space Insights team to connect employee sentiment with spatial telemetry and observational data.
  • You will combine an investigative, data-driven mindset with sound survey measurement practices, while adopting AI tools and automated workflows to accelerate synthesis and deliver timely, high-impact insights.
  • This role is based in San Francisco, CA, Chicago, IL, or Atlanta, GA, and is eligible for an Office Flexible (3 days/week) work arrangement, with potential for occasional domestic or international travel for site studies.

What You’ll Actually Be Doing

  • Own and execute the global Site Experience Survey Program end-to-end, developing longitudinal benchmarking and driving continuous refinement of survey instruments. Bring proactive analytical curiosity to explore datasets—applying statistical techniques like correlation, regression, key driver analysis, and segmentation—to move beyond descriptive reporting, uncover non-obvious trends across multi-office datasets, and develop data-driven workplace personas.
  • Partner closely with the Site Study Program Lead and Space Insights team to bridge and integrate disparate data streams into strategic site study reports. Connect employee survey sentiment with objective spatial telemetry (such as occupancy patterns and room utilization metrics) to co-develop executive-ready recommendations that guide long-term workplace design, space allocations, and capital investment decisions.
  • Serve as a survey research and questionnaire design subject matter expert across REWS, advising internal teams and project leads on question design, rating scales, and practical sampling strategies across a diverse range of measurement scenarios (e.g., workplace pilot evaluations, guest experience, meeting and event feedback, and pre-design needs assessments).
  • Take hands-on ownership of day-to-day survey operations and data hygiene, configuring, maintaining, and refining templated survey instruments, coordinating with internal communications to manage distribution, and preparing clean datasets for analysis. Partner with the REWS Technology and Data Engineering (TEDI) team to evolve self-serve dashboards, while integrating AI tools to streamline qualitative text analytics.

You’re Our Person If…

  • 4+ years of hands-on experience designing, fielding, and analyzing quantitative surveys within corporate real estate, workplace strategy, environmental psychology, people analytics, or an applied organizational research setting.
  • Demonstrated analytical curiosity and practical quantitative skills (including significance testing, correlation, regression modeling, and key driver analysis) paired with solid survey design fundamentals (scale reliability, questionnaire design) to independently uncover actionable drivers from large, multi-office datasets.
  • Demonstrated experience configuring, updating, and managing survey instruments within enterprise platforms (such as SurveyMonkey, Qualtrics, or similar), alongside practical experience cleaning, transforming, and joining datasets (using SQL, Python/pandas, R/tidyverse, Tableau Prep, or similar data workflows) and hands-on proficiency with open-source statistical tools (specifically R or Python) to independently conduct exploratory and inferential analysis.

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $117,400 - $177,600 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $140,900 - $193,700 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

How we rate this

Workplace Research Manager at Salesforce rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsSurvey DesignData AnalysisQuantitative ResearchEmployee SentimentProgram Management

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Tell me about a project where survey design was part of your work. What did you do?
  3. Tell me about a project where data analysis was part of your work. What did you do?
  4. Tell me about a project where quantitative research was part of your work. What did you do?
  5. Tell me about a project where employee sentiment was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI agents, Survey Design, Data Analysis, Quantitative Research, and Employee Sentiment. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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