Sr. Engineering Manager, AI/ML Infrastructure - Slack

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Job Category

Software Engineering

Job Details

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

About Slack AI

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!
 

About the Role

We are looking for a highly motivated and experienced Senior Engineering Manager to lead a team within our growing infrastructure organization to support the development of AI and ML at Slack. In this role, You’ll be responsible for driving a technical vision and strategy that ensures these services are reliable, efficient, scalable, and ultimately powerful to build great AI/ML products for our customers. You will blend creative product thinking with a strong technical understanding of the AI/ML landscape to identify opportunities and guide your team in building innovative solutions that solve real user problems. A successful candidate will be an experienced engineer leader with experience in leading effective engineering teams and who is knowledgeable around the particular needs of ML infrastructure, LLM serving, and/or platform development needed to support the development of ML/AI products.

ML & Search Infrastructure, part of Slacks’ Core Infrastructure organization, is in the business of providing the tools, infrastructure, and the expertise, to make this product vision possible. Our group consists of three teams:

• Machine Learning Infrastructure, which owns services for ML & AI model training and inference

• Search Infrastructure, which maintains our distributed search index cluster

• Machine Learning Modeling, which develops and deploys ML & AI models to use in our product

We’re looking for a manager who can lead our growing Machine Learning Infrastructure team. Specifically, you will lead an interdisciplinary team that is responsible for the development and delivery of AI serving capabilities and Slack’s internal ML platform. Your objective as an engineering manager will be to ensure reliability and scalability of these services as our AI user base continues to rapidly expand, while also facilitating the development of platform capabilities that make developing AI / ML capabilities more seamless.

What you’ll be doing:

• Define, evolve, and communicate the team's vision, mission, and strategy across Slack.

• Collaborate with Product, Infra, and other technical leaders to define and execute on the team's roadmap, including team growth.

• Develop a deep understanding of Slack's AI and ML technical domain to inform engineering possibilities and drive creative technical solutions.

• Mentor and coach engineers to foster their technical growth and leadership potential.

• Own and drive the successful execution of projects.

• Partner effectively with other engineering leaders across the organization to solve high-priority challenges collaboratively.

What you should have:

• 4+ years of experience as an Engineering Manager leading software development teams.

• Prior hands-on experience in the realm of machine learning, AI, infrastructure engineering and/or other related related areas

• A strong understanding of modern AI/ML practices and trends.

• A passion for understanding technical landscapes and translating that knowledge into product possibilities in collaboration with Product and Design.

• A strong problem-solving mindset with a track record of finding creative solutions to complex challenges.

• The ability to navigate multiple and sometimes conflicting constraints to make timely decisions and anticipate future technical needs.

• Excellent skills in building roadmaps and developing long-term team vision in partnership with Product Management and other engineering