Senior PM, Data Platforms & AI

Salesforce, Inc.

New York (NY)

On-site

USD 173,000 - 260,000

Full time

4 days ago
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Benefits offered by this job

401(k)
Employee stock purchase program
Health insurance and other benefits
Paid parental leave

Job summary

Salesforce, Inc. is seeking a product manager for the Data Products team to transform data into actionable insights across the Slack ecosystem. You will prototype with coding agents, partner with data engineers, and define success metrics to guide product priorities.

You’ll work closely with executives to scale data features from experiments to production, delivering intuitive analytics experiences and dashboards that empower teams to turn questions into action.

Qualifications

  • 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.

Responsibilities

  • 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.

Skills

5+ years shipping technical products
Data science / data engineering / data
Prototype building with coding agents
Explain technical tradeoffs to leaders

Tools

dbt
DataHub
Statsig
Eppo
Optimizely
Snowflake
Trino
Spark

Job description

Salesforce, Inc. is seeking a product manager for the Data Products team to transform data into actionable insights across the Slack ecosystem. You will prototype with coding agents, partner with data engineers, and define success metrics to guide product priorities.

You’ll work closely with executives to scale data features from experiments to production, delivering intuitive analytics experiences and dashboards that empower teams to turn questions into action.

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