ZipRecruiter

Log In

Slack
Slack

24 Slack Customer Success Manager Jobs Hiring Near You

Slack

Staff Product Data Scientist - Slack

Atlanta, GA · On-site

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. As a Staff ... Responsibilities : • Apply advanced data science techniques to analyze Slack product usage ...

Slack

Staff Product Data Scientist - Slack

Seattle, WA · On-site

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. As a Staff ... Responsibilities : • Apply advanced data science techniques to analyze Slack product usage ...

Slack

Sr. Data Engineer, Enterprise - Slack

$108K - $147K/yr

Salesforce is the #1 AI CRM, leading workforce transformation through innovation. As a Data Engineer on the Enterprise team at Slack, you will design, build, and scale data pipelines that support ...

Slack

Sr. Data Engineer, Enterprise - Slack

$108K - $147K/yr

Salesforce is the #1 AI CRM, leading workforce transformation through innovation. As a Data Engineer on the Enterprise team at Slack, you will design, build, and scale data pipelines that support ...

next page

Showing results 1-20

All JobsSlack JobsSlack Customer Success Manager Jobs

Slack Jobs Information

What other companies are hiring for Customer Success Manager jobs?
What are the most popular jobs at Slack?
What are the most popular categories at Slack?
Infographic showing various Customer Success Manager job openings at Slack in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 96% Physical, and 4% Remote job distribution.
Staff Product Data Scientist - Slack

Staff Product Data Scientist - Slack

Slack

San Francisco, CA • On-site

Full-time

Posted 20 days ago

Job description

Job Summary:
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. As a Staff Product Data Scientist, you will work closely with cross-functional partners to define the product landscape, derive insights from data, and contribute to product strategy building and implementation.
Responsibilities:
• Apply advanced data science techniques to analyze Slack product usage patterns, identifying what’s working, what’s not, and opportunities for improvement.
• Conduct evidence-based evaluations to determine key drivers of Slack’s product growth.
• Define and report key success metrics, effectively communicating insights to Slack and Salesforce leadership to enable executive level decision making and follow-ups.
• Synthesize insights across different product areas and business outcomes, identifying correlations and causal relationships that drive success.
• Serve as a domain expert in product data science, guiding best practices and advancing data science methodologies and operations.
• Champion evidence-based decision-making, making data and insights accessible and scalable for stakeholders at all levels.
Qualifications:
Required:
• 5+ years of experience in data science or quantitative analysis, preferably in technology product development or enterprise software.
• Advanced degree (MS, PhD) in a quantitative field (e.g., Mathematics, Economics, Statistics, Physics, Quantitative Psychology, Engineering, etc.) is a strong plus.
• Expertise in at least one programming language for data science (e.g., Python, R).
• Experience working with large-scale data technologies (e.g., Spark, Presto, Hive, Hadoop). Expertise in Apache Airflow is a strong plus.
• Strong communication skills. Able to translate complex technical results into clear, actionable insights.
• Cross-functional collaboration and influencing skills, with a track record of impacting decisions at both strategic and executional levels.
• Experience designing and implementing advanced data models with scalability and efficiency.
• Experienced in applying advanced quant measurement techniques in a product development environment.
Company:
Slack is a cloud-based communication and collaboration platform for teams. It is a sub-organization of Salesforce. Founded in 2009, the company is headquartered in San Francisco, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

Apply