Senior Manager Machine Learning (AI)

TL;DR

Senior Manager Machine Learning (AI): Driving search quality improvements through machine learning and statistical techniques, enhancing both agentic search capabilities and traditional recall mechanisms. With an accent on ML model development, search systems, and cross-functional collaboration to deliver production-ready models. Focus on delivering measurable improvements to how users find information, fostering a culture of experimentation and impact, and navigating the complexities of shipping ML models in a fast-paced production environment.

Location: Onsite in Washington - Seattle, Texas - Austin, or Georgia - Atlanta.

Company

hirify.global is a leading cloud-based software company, with Slack AI focused on transforming how people work by making Slack an AI-powered operating system.

What you will 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.

Requirements

• 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.
• 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.

Nice to have

• Familiarity with agentic AI systems or conversational search experiences.

Culture & Benefits

• Opportunity to shape the future of work within Slack AI.
• Collaborative environment partnering with product, ML engineers, and infrastructure teams.
• Focus on mentoring and coaching engineers for technical growth and leadership potential.
• Fostering a culture of experimentation and impact.
• Working on innovative solutions that solve real user search problems for millions of users.