Senior Product Manager, Data Products

Momentum; Palo Alto (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

Slack is seeking a Product Manager for Data Products to define AI-enabled data experiences, build dashboards and notebooks, and ship features with coding agents across Slack's data stack.

You will partner with data scientists, engineers, and executives to set roadmaps, prototype with coding agents, and measure success. You’ll drive adoption of data-powered capabilities across millions of users.

Qualifications

• 5+ years shipping technical products as PM, data scientist, or analyst.
• Background in data science, data engineering, or product analytics.
• Working knowledge of A/B testing and statistics for ship decisions.
• Hands-on experience building prototypes with coding agents.
• Able to explain technical tradeoffs to engineers and executives.

Responsibilities

• Partner with customers, engineers, and data teams to map workflows.
• Set strategy and roadmap, prototype with coding agents alongside teams.
• Define success metrics and iterate after launch.
• Make data-driven decisions by simplifying experimentation in Slack channels.

Skills

PM experience

Data science background

Data engineering background

A/B testing knowledge

Hands-on prototyping

Communication with executives

Tools

dbt

DataHub

Statsig

Eppo

Optimizely

Snowflake

Trino

Spark

Job description

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.

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

• 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.

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.

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).