Software Engineer, Salesforce
AI Platform, Slack
$117.2-223.9k
World's leading CRM provider
Be an early applicant
World's leading CRM provider
1001+ employees
Be an early applicant
$117.2-223.9k
1001+ employees
Company mission
To empower companies to connect with their customers in a whole new way.
Role
Who you are
- Experience building developer tooling, libraries, or CI CD pipelines that improve engineering speed, quality, and usability
- Experience operationalizing Large Language Models (LLMs) and building integrations with first party APIs and external cloud provider APIs such as AWS, GCP, or Azure
- Experience with AI quality evaluation frameworks, prompt engineering infrastructure, or developer tooling for ML workflows
- Strong proficiency in Python, PHP or Hacklang and experience with infrastructure as code and modern software engineering practices
- Ability to communicate complex technical concepts clearly and effectively to a broad range of stakeholders
- Love to model modern methodologies for unit tests, code review, design documentation, debugging, and troubleshooting
- Are curious, inquisitive, and determined to fix things when they break
- Work well with a team of diverse backgrounds and experience on complicated projects
- A related technical degree required
What the job involves
- Slack AI's mission is to transform how people work by making Slack an AI-powered operating system. We're tackling significant challenges like unlocking collective knowledge and reducing noise, all while building a seamless, consumer-grade AI experience within users' existing workflows. Join us in shaping the future of work through AI
- The AI and ML Infrastructure team is part of Slack’s Core Infrastructure organization and is responsible for the foundational systems that enable machine learning and AI across the company
- The team designs, builds, and operates reliable, scalable, and high performance platforms that allow product and ML teams to develop, deploy, and operate AI driven capabilities with confidence
- The team owns shared infrastructure, services, and tooling that support the full ML lifecycle, including model training, deployment, inference, and monitoring
- As Slack AI continues to grow, the team is evolving from traditional ML deployments toward large scale, highly distributed model systems
- This work involves deep architectural decisions around scalable model deployment strategies, real time feature serving at very high throughput, GPU accelerated inference at message scale, and responsible training of models on sensitive data with strong privacy and safety requirements
- ML Infrastructure - The ML Infrastructure focus area is responsible for the low level systems that power training and inference at scale. This includes architecting and maintaining distributed systems for model training, serving, and deployment using Kubernetes based platforms, GPU infrastructure, and open source ML stacks such as KubeRay and vLLM. The team delivers platform capabilities that improve the speed, reliability, and quality of ML development, including training pipelines, feature generation systems, and compute orchestration
- AI Platform - The AI Platform focus area builds the tooling and platform layers that enable AI development across Slack. This includes creating developer facing tools, SDKs, and workflows that allow product teams to integrate AI into Slack features efficiently and safely. The platform supports LLM efficiency and model transition initiatives through integrations with managed services across multiple cloud providers acting as the connective layer between core infrastructure and product engineering teams
- We are looking for Software Engineers to join the AI Platform effort and build the developer experience that powers AI at Slack
- In this role, you will treat internal engineers as your primary customers, designing and building tooling, SDKs, and evaluation frameworks that enable product teams to ship AI features faster and more reliably
- You will work closely with ML Infrastructure, modeling, and product teams to make informed decisions around open source versus managed solutions, improve the usability and reliability of our AI platforms, and accelerate the adoption of AI across Slack
- Drive the evolution of Slack’s AI and ML platform toward a self service, developer friendly environment that improves velocity and reliability
- Build and maintain SDKs, feature generation tools, and CI CD pipelines that make it easy for product teams to integrate AI into their workflows
- Manage and evolve integrations with managed AI services across multiple cloud providers
- Design and operate AI quality evaluation frameworks and prompt engineering infrastructure to ensure AI features meet high standards for reliability and user experience
- Collaborate closely with ML modeling, AI quality, and product engineering teams to design platforms that meet evolving technical and business needs
Our take
Salesforce is a global cloud computing company, best known for its on-demand, comprehensive customer relationship management (CRM) solutions. The company was launched to mitigate the doubts that business owners felt regarding third party companies holding their data.
By providing essential, customer-oriented CRM software, Salesforce places itself at the heart of digitised businesses. Furthermore, by building out its AI capabilities, the company removes the complexity of AI, enabling any business to deliver smarter, personalised and more predictive customer experiences.
Due to the continued innovation offered by the company, over 150,000 companies, both big and small, are growing their business with Salesforce today. Despite a tumultuous 2023 filled with activist investors, a boardroom shake-up and the unprecedented step-down of Co-CEO Bret Taylor, Salesforce continues to close several acquisition deals and managed to drive up its stock value by 96% from the end of 2022 to 2023.
Steph
Company Specialist at Welcome to the Jungle
Insights
-8% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jun 2001
$46.9m
SERIES D
Nov 1999
$13.2m
SERIES C
Total funding: $64.5m
Company benefits
- With 9 standard holidays and four floating holidays, you get a total 13 paid days off each year
Company HQ
SoMa, San Francisco, CA
Leadership
Marc Benioff
(Chair & CEO)Previously Senior Vice President at Oracle Corporation for 13 years.
Parker Harris
(CTO)Previously worked as a Software Engineer for over six years. Harris also co-founded Left Coast Software.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 231 more jobs at Salesforce