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About the Role

The Data Products team is responsible for defining the frontier for data at Slack. We are reimagining insights as well, enabling humans and agents to ask questions and dig into data through intuitive, conversational experiences. We build the internal analytics, data science, and experimentation platforms that power the whole company.

Responsibilities

Build the context for AI, enabling agents to discover, interpret, and reason over Slack's data with accuracy and confidence.
Turn insights into action by equipping agents with the tools, MCP servers, and APIs to investigate questions, run analyses, and deliver recommendations.
Reimagine data exploration by building intuitive, interactive experiences for conversational analytics, dashboards, and notebooks.
Scale the data experience by evolving our data platform and pipelines to power sophisticated analytical workflows.
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 iterate after launch.
Make data-driven decisions the norm by simplifying experimentation and bringing insights into Slack channels.
Get close to customers (product managers, engineers, designers, data engineers, data scientists) to understand their workflows and pain points.
Get close to partners (product engineering, data engineering, data science, product management) to understand the full stack.
Write the strategy and roadmap for your area.
Write requirements and prototype with coding agents alongside engineering and design.
Define success metrics and use them to decide priorities and investments.
Follow up and iterate after launch to ensure success.
Keep moving Slack toward a data-driven culture.
Make it easier to design, define, and launch experiments, and to understand and analyze results.
Bring insights into Slack so teams can share and act on data in channels.
Partner with product teams to turn internal tools into features for Slack customers.

Requirements

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.
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.
Experience building agents, MCP servers, or LLM products, including their evals.
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 (dbt, DataHub).
Familiarity with experimentation platforms (Statsig, Eppo, Optimizely).
Familiarity with warehouses and query engines (Snowflake, Trino, Spark).

Skills

Data science
Data engineering
Product analytics
A/B testing
Statistics
Coding agents
Technical tradeoffs communication
Building agents
MCP servers
LLM products
Shipping data features
Shipping analytics features
Driving adoption
Semantic layers
Data catalogs
Experimentation platforms
Warehouses
Query engines

Location

San Francisco
New York City

Work Type

Full-time

Experience Level

5+ years

Salary/Compensations

$172,500 - $260,100 annually
$207,800 - $285,800 annually

Benefits

Time off programs
Medical
Dental
Vision
Mental health support
Paid parental leave
Life insurance
Disability insurance
401(k)
Employee stock purchasing program

About the Company

Salesforce is the #1 AI CRM, where humans with agents drive customer success together.
The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Agentforce is the future of AI, and you are the future of Salesforce.

Equal Opportunity

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment.
Salesforce believes in equality for all and is committed to creating a workplace that’s inclusive and free from discrimination.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law.
This policy applies to current and prospective employees, and covers recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and other employment-related decisions.
Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit.
Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.