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Senior Manager - Machine Learning - Slack AI

April 30, 2026

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce 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. 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: Slackbot is Slack's AI assistant that we recently launched to help users find information, get answers, and take action without leaving their workflow. At the heart of Slackbot is our search and retrieval system, which powers the assistant's ability to surface relevant messages, files, and knowledge from across a user's workspace. As Slackbot adoption grows, we're expanding our Search Machine Learning team to drive the next wave of quality improvements—enhancing both the agentic search capabilities that power conversational interactions and the traditional recall mechanisms that ensure users get the most relevant results every time. We are looking for a highly motivated and experienced Senior Engineering Manager to lead our Search Machine Learning team at Slack. In this role, you'll be responsible for driving search quality improvements through machine learning and statistical techniques, working at the intersection of agentic and traditional recall search. You will partner closely with search product teams, fellow ML engineers, and ML infrastructure/platform teams to deliver production-ready models that directly enhance how millions of users find information in Slack. You'll blend strategic technical vision with hands-on collaboration, guiding your team of machine learning engineers to build innovative solutions that solve real user search problems. A successful candidate will be an experienced engineering leader with a track record of leading high-performing ML teams and deep knowledge of search systems, machine learning model development, and cross-functional collaboration needed to ship impactful ML-powered products. You'll be accountable for delivering measurable improvements to how users find information in Slack—whether through next-generation agentic search capabilities or enhanced traditional recall mechanisms. Success in this role requires balancing hands-on technical leadership with strong people management, fostering a culture of experimentation and impact, and navigating the complexities of shipping ML models in a fast-paced production environment. What you’ll do: Define, evolve, and communicate the team's vision, mission, and strategy across Slack. Collaborate with Product, Infra, AI/ML 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: Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience. 4+ years of experience as an Engineering Manager leading software development teams. Experience managing machine learning engineers and understanding the unique challenges of ML development lifecycles (experimentation, model training, evaluation, deployment). Deep understanding of search systems and ranking algorithms, with experience shipping search quality improvements at scale. Track record of establishing metrics and evaluation frameworks to measure ML model performance and search quality in production 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 te

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Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

2. HOW DO YOU USE THE DIFFERENT COMMUNICATION TOOLS IN DIFFERENT SITUATIONS?

When you're working on a remote team, there's no way to chat in the hallway between meetings or catch up on the latest project during an office carpool. Therefore, virtual communication will be absolutely essential to get your work done...

3. WHAT IS "WORKING REMOTE" REALLY FOR YOU?

Many people want to work remotely because of the flexibility it allows. You can work anywhere and at any time of the day...

4. WHAT DO YOU NEED IN YOUR PHYSICAL WORKSPACE TO SUCCEED IN YOUR WORK?

With this question, companies are looking to see what equipment they may need to provide you with and to verify how aware you are of what remote working could mean for you physically and logistically...

5. HOW DO YOU PROCESS INFORMATION?

Several years ago, I was working in a team to plan a big event. My supervisor made us all work as a team before the big day. One of our activities has been to find out how each of us processes information...

6. HOW DO YOU MANAGE THE CALENDAR AND THE PROGRAM? WHICH APPLICATIONS / SYSTEM DO YOU USE?

Or you may receive even more specific questions, such as: What's on your calendar? Do you plan blocks of time to do certain types of work? Do you have an open calendar that everyone can see?...

7. HOW DO YOU ORGANIZE FILES, LINKS, AND TABS ON YOUR COMPUTER?

Just like your schedule, how you track files and other information is very important. After all, everything is digital!...

8. HOW TO PRIORITIZE WORK?

The day I watched Marie Forleo's film separating the important from the urgent, my life changed. Not all remote jobs start fast, but most of them are...

9. HOW DO YOU PREPARE FOR A MEETING AND PREPARE A MEETING? WHAT DO YOU SEE HAPPENING DURING THE MEETING?

Just as communication is essential when working remotely, so is organization. Because you won't have those opportunities in the elevator or a casual conversation in the lunchroom, you should take advantage of the little time you have in a video or phone conference...

10. HOW DO YOU USE TECHNOLOGY ON A DAILY BASIS, IN YOUR WORK AND FOR YOUR PLEASURE?

This is a great question because it shows your comfort level with technology, which is very important for a remote worker because you will be working with technology over time...