Senior Product Manager, Data Products

MeeBoss; San Francisco (CA); In loco; USD 150.000 - 190.000; Tempo pieno

Descrizione del lavoro

Slack is seeking a technically minded Product Manager for the Data Products team in San Francisco. You will collaborate with engineers, data scientists, and analytics to define strategies for data platforms, AI-ready tooling, and conversational analytics that power decisions across the company.

You will prototype with coding agents, set success metrics, and drive productization of Slacks data capabilities used by thousands of customers and internal teams.

Competenze

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

Mansioni

• Partner with customers, engineers, and data teams to understand 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.

Descrizione del lavoro

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).