CareerPlan

Senior Product Manager, Data Products

California - San Francisco, USFull-time2026-10-28 → 2026-11-11
Based in United States

Core

Build internal analytics, data science, and experimentation platforms for Slack to enable AI agents and humans to discover, interpret, and reason over data through conversational experiences.

Role type

Senior Product Manager, Data Products

Builds

Internal analytics, data science, and experimentation platforms; conversational analytics, dashboards, and notebooks for Slack agents and teams.

Domain

Enterprise SaaS / Data Infrastructure / AI Agents

Deliverable

product features

Required skills

Product management for technical products, data science, data engineering, or analytics background, A/B testing and statistics, prototyping with coding agents, translating technical tradeoffs for engineers and executives

Preferred skills

Building agents, MCP servers, or LLM products, shipping data/analytics features to external customers, driving adoption of new tools/practices, familiarity with semantic layers/data catalogs (dbt, DataHub), experimentation platforms (Statsig, Eppo, Optimizely), warehouses/query engines (Snowflake, Trino, Spark)

Technologies

MCP servers, dbt, DataHub, Statsig, Eppo, Optimizely, Snowflake, Trino, Spark

Responsibilities

Partner with customers, engineers, and data teams to understand workflows and agent limitations; set strategy and roadmap; prototype with coding agents alongside engineering and design; define success metrics and prioritize initiatives; bring insights into Slack channels for teams to act on data; partner with product teams to turn internal tools into customer features

Seniority

Senior, hands-on IC