About the position
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. 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. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Slack is looking for a software engineer to join the Data Tools team. At Slack, data is at the core of every product decision we make. The Data Tools team sits at the intersection of product development and data infrastructure, enabling Slack to build a truly data-driven culture. We build and maintain critical internal tooling for dashboards, query interfaces, metadata management, alerting systems, and visual analytics. These tools are used daily by analysts, data scientists, product managers, and engineers to explore data, monitor product performance, and derive insights that directly impact the customer experience. We're looking for a Staff Software Engineer who combines deep technical expertise with a product mindset, thrives in highly collaborative environments, and is excited to help scale a platform used by hundreds of internal stakeholders. You are independent and passionate about having a huge impact at Slack. You will translate complex business requirements into scalable technical solutions and deliver impactful products and tools for data analysis to support the business.
Responsibilities
- Architect and build scalable backend systems, APIs, and services that support our growing suite of internal data tools.
- Drive the development of reliable infrastructure to support querying, alerting, metadata tracking, and dashboarding at scale.
- Collaborate cross-functionally with Data Scientists, Product Managers, Software Engineers, and Analysts to define and deliver high-impact tools.
- Translate complex, evolving business requirements into clean, maintainable, and scalable technical solutions.
- Champion UI and contribute to the design of front-end interfaces that empower technical and non-technical users to access and explore data.
- Improve the observability, reliability, and performance of our internal data platforms.
- Champion engineering excellence, data best practices, and a product-first mindset across the team.
Requirements
- Strong programming skills in languages like Python, Go, or PHP, with a deep understanding of systems design and backend architecture.
- Worked with modern data infrastructure tools like Airflow, dbt, Kafka, Spark, BigQuery, or Snowflake.
- Familiarity with container orchestration (e.g., Kubernetes, AWS) and infrastructure-as-code tools (e.g., Terraform, Ansible).
- Exposure to modern UI technologies such as React or TypeScript, and an understanding of how backend systems interface with user-facing tools.
- Experience building internal platforms or developer tools that scale across teams.
- Ability to lead and mentor across projects, contributing not just code but vision and direction.
- Excellent communication skills — you can articulate technical concepts to non-technical stakeholders and align cross-functional teams.
- A Bachelor's degree in Computer Science, Engineering or a related field, or equivalent training, fellowship, or work experience.
Nice-to-haves
- Experience in building self-service analytics platforms.
- Prior experience in data-intensive environments or product analytics.
- Passion for developer and analyst productivity, and building tools that people love to use.
- Hands-on experience with production LLM workflows, including AWS Bedrock and Retrieval-Augmented Generation (RAG).
Benefits
- Time off programs
- Medical, dental, vision
- Mental health support
- Paid parental leave
- Life and disability insurance
- 401(k)
- Employee stock purchasing program
