Senior Product Manager, Data Products
About The Position
The Data Products team defines and advances data experiences at Slack. It builds internal analytics, data science, and experimentation platforms used across the company, both directly and through agents such as Slackbot, Claude, and Codex. The team is reimagining how people and agents explore data and generate insights through intuitive, conversational experiences that support faster, more rigorous decisions. The Senior Product Manager will work across Slack’s data stack: improving the context that enables AI agents to discover and reason about data; providing agents with tools, MCP servers, and APIs for analysis and recommendations; building conversational analytics, dashboards, and notebooks; and evolving data platforms and pipelines to support reliable, sophisticated analytical workflows. As the team’s second product manager, this person will help define how Slack builds with and interacts with data. The role suits a technically minded builder with deep experience in data science, data engineering, or analytics, who uses coding agents and understands the needs of both data builders and consumers. The product manager will develop insights, prototype with engineering and design, and advance solutions toward products used by Slack customers and agents. They will collaborate with customers, engineers, data teams, and executives, set strategy and roadmaps, define success metrics, and continue iterating after launch.
Requirements
- At least 5 years shipping technical products as a product manager, 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 used to make ship decisions.
- Hands-on experience building working prototypes with coding agents.
- Ability to explain technical tradeoffs clearly to engineers and executives.
Nice To Haves
- Experience building agents, MCP servers, or LLM products, including their evaluations.
- 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; experimentation platforms such as Statsig, Eppo, or Optimizely; and warehouses or query engines such as Snowflake, Trino, or Spark.
Responsibilities
- Partner with customers, engineers, and data teams to understand workflows and identify where agents fall short.
- Set product strategy and roadmap, then prototype with coding agents alongside engineering and design.
- Define success metrics to guide priorities and iterate after launch.
- Simplify experimentation and bring insights into Slack channels to make data-driven decisions the norm.
- Advance products that help agents discover, interpret, and reason over Slack data.
- Equip agents with tools, MCP servers, and APIs to investigate questions, run analyses, and deliver recommendations in the flow of work.
- Build intuitive, interactive data exploration experiences, including conversational analytics, dashboards, and notebooks.
- Evolve the data platform and pipelines to support increasingly sophisticated analytical workflows with speed and reliability.
- Communicate technical tradeoffs effectively to engineers and executives.
Benefits
- Time off programs
- Medical insurance
- Dental insurance
- Vision insurance
- Mental health support
- Paid parental leave
- Life insurance
- Disability insurance
- 401(k)
- Employee stock purchasing program
- Potential eligibility for incentive compensation and equity, depending on role and applicability
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
