Senior Product Manager, Data Products

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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 ForYou'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
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Skills
Snowflake, Apache Spark, LLM, Product Management, Salesforce, CRM, Customer Success