Senior Product Manager, Tableau Applied AI
Salesforce is hiring a Senior Product Manager, Tableau Applied AI in San Francisco, United States. It pays $173k-$260k a year and Level rates it ; you can apply on Salesforce.
Level's read on this job
- On Level's scale, this AI product manager role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- The listed pay starts close to the typical AI product manager posting on Level.
- Tools and skills the posting cites include AI agents and AI research.
- Level lists 1,500+ other open roles at Salesforce.
- The role was posted in the last few days.
AI in this role
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Job Category
ProductJob 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 Salesforce
The Opportunity
We're hiring an AI-native Product Manager to lead AI-native agentic builder experiences in Tableau. You will define how agents take part in the full cycle of data analysis: framing outcomes, finding and preparing the right data, exploring it, explaining what changed and why, and turning the result into trusted models, proactive insights, repeatable skills and data apps that people use every day. You'll work with engineering, design, AI research and cross-cloud platform collaborators to ship agentic experiences that expand analytics reach.
Your mission: Make analysis something a person directs rather than assembles by hand. Any user should be able to describe the outcome and work with agents that plan the steps, run them on governed, trusted data, show their reasoning, and derive insights that users can refine, publish and share.
What You'll Actually Be Doing:
- Shape the vision for native AI experiences that help with every stage of data analysis, and sequence the roadmap around clear bets, success metrics and explicit trade-offs.
- Deeply understand the customer problems you’re tackling through research, data, and direct customer interactions — then frame those problems clearly for your team.
- Manage the roadmap; defining what should be built, when and why - and communicate it to generate alignment and excitement. Keep roadmap current as models, platforms and customer needs change.
- Collaborate with engineers and designers to imagine, build, and ship solutions, from bold future visions to small, focused iterations.
- Leverage AI to increase your own efficiency, accelerate product development, and multiply your team’s impact. Set the standard for how the team designs products with AI, not only for AI.
- Evaluate impact through quantitative and qualitative measures, both in beta and after full release. Know your adoption stats, friction points and success stories
- Own and maintain the quality of your product area, ensuring every release delivers world-class software.
- Collaborate with peers across the business to ensure we deliver products with clear GTM strategy and execution, getting hands on wherever necessary to ensure we deliver.
- Be a leader in your team or projects by role-modelling our company values and R&D principles.
Who You Are
This AI-native product leader can think agents, tools, evals as easily as user journeys. You understand how analysts work, you have built or used analytics products in depth, and you hold the view that agents should take on the mechanical work of analysis so that people can focus on agency, judgment and decisions. You move quickly, test ideas with customers early, and explain complex AI behavior in plain language.
This is not a traditional “write a PRD and hand it off” product role. The next generation of product development is faster, more visual, more experimental, and more AI-assisted. We’re looking for a PM who can work prototype-first, use AI tools to accelerate discovery and delivery, and collaborate deeply with Engineering and Design to turn ambiguity into working product experiences. You grow to drive excellent product judgment - skilled at balancing customer needs, business impact, and technical constraints to define, advocate for, and deliver the right product.
You're Our Person If:
- 4+ years in product management, including shipping consumer grade AI or ML-powered features to customers
- Deep understanding of data analysis workflows: data preparation, semantic models and metrics, exploratory analysis, visualization, dashboards and data apps
- Hands-on experience with agentic systems, frontier models, including prompting, tool and function calling, retrieval and grounding, multi-step planning and understanding limitations
- Experience defining and running evaluations for AI features (offline eval sets, human review, online metrics) and using them to make product decisions
- A track record of taking a product from early prototype to general availability through close, repeated engagement with real customers
- Ability to write a clear vision, rally engineering, design and research around it, and make trade-offs with urgency
- Strong communication skills with technical and non-technical audiences, including sellers, executives and customers
Even Better If:
- Experience with Tableau and Salesforce platform
- Hands on user of data analytics, data science or data engineering products
- Familiarity with agent frameworks and protocols (for example MCP and agent-to-agent patterns) and with developer or builder platforms
- Experience working directly with AI research or applied science teams
- Experience with semantic layers, metrics stores or headless BI
- Experience creating go-to-market content, demos and enablement for AI products
Why This Team
- Impact: Define how millions of people will drive insights with analytics agents in the next generation of Tableau investments.
- Innovation: Work at the point where frontier AI research meets trusted business understanding, governed data, proactive intelligence, and enterprise-scale analytics.
- Culture: Autonomy, technical depth, fast iteration with customers and a strong focus on simplicity.
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 $172,500 - $260,100 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $207,800 - $285,000 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
Senior Product Manager, Tableau Applied AI at Salesforce rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ 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
Also common in AI product manager jobs at this level
Pay
- This job starts at
- $173k
- Typical AI product manager job
- $179k
This posting starts close to the typical AI product manager job. See AI product manager jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a research question you investigated. What did you find?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: AI agents and AI Research. 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.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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