Senior PM, Data Platforms & AI Insights

Salesforce, Inc.; Atlanta (GA); Presencial; USD 173.000 - 260.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare benefits

401(k) plan

Paid parental leave

Descripción de la vacante

Salesforce is seeking a Product Manager for the Data Products team to define and deliver data-first experiences across agents like Slackbot and Codex. You will collaborate with engineering and design, prototype with coding agents, and drive data-driven decision-making at scale.

The role requires a strong background in data science, data engineering, or product analytics, plus experience shipping technical products and building prototypes that leverage AI/agents within a large enterprise context.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Product management

Data science

Data engineering

Analytics

A/B testing

Herramientas

dbt

DataHub

Snowflake

Trino

Spark

Descripción del empleo

Salesforce is seeking a Product Manager for the Data Products team to define and deliver data-first experiences across agents like Slackbot and Codex. You will collaborate with engineering and design, prototype with coding agents, and drive data-driven decision-making at scale.

The role requires a strong background in data science, data engineering, or product analytics, plus experience shipping technical products and building prototypes that leverage AI/agents within a large enterprise context.