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

Product

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.

The Experience

The Data Products team is responsible for defining the frontier for data at Slack. Software development is now an interactive, multiplayer experience with Slack code channels, and we are reimagining insights as well. Humans and agents should be able to ask questions and dig into data through intuitive, conversational experiences — enabling faster, more rigorous decision-making. We build the internal analytics, data science, and experimentation platforms that power the whole company — accessed directly or through agents like Slackbot, Claude, and Codex.

As a Product Manager on the team, you'll tackle problems across our core data stack:

• Build the context for AI. Enable agents to discover, interpret, and reason over Slack's data with accuracy and confidence.
• Turn insights into action. Equip agents with the tools, MCP servers, and APIs to investigate questions, run analyses, and deliver recommendations in the flow of work.
• Reimagine data exploration. Build intuitive, interactive experiences that take teams from questions to insights through conversational analytics, dashboards, and notebooks.
• Scale the data experience. Evolve our data platform and pipelines to power increasingly sophisticated analytical workflows with speed and reliability.
• Build the context for AI. Enable agents to discover, interpret, and reason over Slack’s data with accuracy and confidence.
• Turn insights into action. Equip agents with the tools, MCP servers, and APIs to investigate questions, run analyses, and deliver recommendations in the flow of work.
• Reimagine data exploration. Build intuitive, interactive experiences that take teams from questions to insights through conversational analytics, dashboards, and notebooks.
• Scale the data experience. Evolve our data platform and pipelines to power increasingly sophisticated analytical workflows with speed and reliability.es.

We're looking for a builder with deep roots in data science, data engineering, or analytics — someone who uses coding agents every day and deeply understands the pain points of both data builders and data consumers. You generate your own insights and work closely with engineering partners to build working prototypes. From there, you'll drive those solutions toward productization for the millions of customers and agents who rely on Slack every day.

You'll be the second PM on the Data Products team as we double down on this space, helping define how Slack builds with and interacts with data. You're a technically minded product manager who is comfortable working alongside developers, digging into the details, and communicating effectively with executives.

What You'll Actually Be Doing

Understand the problems

• Partner with customers, engineers, and data teams to understand their workflows and where agents fall short.
• Set the strategy and roadmap, then prototype with coding agents alongside engineering and design.
• Define success metrics to guide priorities, and keep iterating after launch.
• Make data-driven decisions the norm by simplifying experimentation and bringing insights into Slack channels.

• Get close to your customers: the product managers, engineers, designers, data engineers, and data scientists who use our tools. Understand their workflows, the questions they’re trying to answer, and where agents fall short or get things wrong—and dig into why.
• Get close to your partners: product engineering, data engineering, data science, and product management to understand the full stack and where changes need to be made to create high quality output.

Set strategy and ship

• Write the strategy and roadmap for your area.
• Write requirements and prototype with coding agents alongside engineering and design.
• Define success metrics and use them to decide what to prioritize and where to invest further.
• Stay close! Launching is really the beginning of the journey. Follow-up and keep iterating to get this right.

Raise the bar on decisions

• Keep moving Slack toward a data-driven culture, where every team turns to data to make informed decisions.
• Make it easier to design, define, and launch experiments—and just as easy to understand and analyze the results, making experimentation the norm.

Bring insights to where work happens

• Bring insights into Slack, so teams can share and act on data in the channels where they already work.
• Partner with product teams to turn our best internal tools into features for Slack customers.

About You

We're looking for a builder with deep roots in data science, data engineering, or analytics — someone who uses coding agents every day and deeply understands the pain points of both data builders and data consumers. You generate your own insights and work closely with engineering partners to build working prototypes. From there, you’ll drive those solutions toward productization for the millions of customers and agents who rely on Slack every day.

You’ll be the second PM on the Data Products team as we double down on this space, helping define how Slack builds with and interacts with data. You’re a technically minded product manager who is comfortable working alongside developers, digging into the details, and communicating effectively with executives.

What We're Looking For

You're Our Person If...

• 5+ years shipping technical products as a PM, data scientist, or analyst who shaped a product roadmap.
• Background in data science, data engineering, or product analytics, with working knowledge of A/B testing and the statistics behind ship decisions.
• Hands-on experience building working prototypes with coding agents.
• Ability to explain technical tradeoffs clearly to both engineers and executives.
• 5+ years shipping technical products as a PM, data scientist, or analyst who shaped a product roadmap.
• Background in data science, data engineering, or product analytics.
• Working knowledge of A/B testing and the statistics behind ship decisions.
• Hands-on experience building working prototypes with coding agents.
• Ability to explain technical tradeoffs clearly to both engineers and executives.

Even Better If...

• Experience building agents, MCP servers, or LLM products, including their evals.
• Experience shipping data or analytics features to external customers.
• Experience driving adoption of a new tool or practice across an organization.
• Familiarity with semantic layers or data catalogs (dbt, DataHub), experimentation platforms (Statsig, Eppo, Optimizely), and warehouses or query engines (Snowflake, Trino, Spark).
• Experience building agents, MCP servers, or LLM products, including their evals.
• Experience shipping data or analytics features to external customers.
• Experience driving adoption of a new tool or practice across an organization.
• Familiarity with semantic layers or data catalogs such as dbt or DataHub.
• Familiarity with experimentation platforms such as Statsig, Eppo, or Optimizely.
• Familiarity with warehouses and query engines such as Snowflake, Trino, or Spark.

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 - $285,800 annually.

The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.