Manager, AI​/ML Engineering

Please Note:

This is a Utah-based hybrid position which will require some regular in-office days each week. Additionally, employment with Bamboo

HR is contingent on passing both a background and credit check. AI at BambooHR

At Bamboo

HR, we’re all about setting people free to do great work, and we believe AI is a powerful partner in that mission. We’re leaning into intelligent tools to streamline our workflows, giving us more time for high‑impact innovation. We look for curious, forward‑thinking people who are ready to explore how AI can elevate their work and help us reimagine the future of HR.

We’re looking for an AI/ML Engineering Manager to help scale a growing team focused on building AI‑powered solutions that enhance how Bamboo

HR operates internally. This is a hands‑on, leadership role responsible for translating business needs into pragmatic AI/ML solutions, driving execution across multiple initiatives, and developing a high‑performing team of engineers and data scientists.

You’ll partner closely with internal stakeholders across departments to deliver impactful, responsible, and scalable AI capabilities.

You’ll operate at the intersection of execution, enablement, and influence—helping the team move quickly while building the right foundations for long‑term success.

• Manage and develop a team of AI/ML engineers and data scientists, including coaching, performance management, and hiring
• Define and prioritize AI/ML work with internal partners across departments such as HR, Support, Finance, and GTM
• Translate business problems into clear technical requirements and execution plans
• Drive delivery of AI/ML solutions, including planning, prioritization, and tracking outcomes
• Guide the design and implementation of AI/ML systems (e.g., LLM‑based applications, predictive models, automation)
• Ensure solutions meet defined business requirements, scale appropriately, and integrate with existing systems
• Establish and improve processes for model development, evaluation, deployment, and monitoring
• Partner with engineering, data, and platform teams to deploy and maintain solutions in production
• Provide clear direction in ambiguous problem spaces so the team can execute successfully
• Set expectations for quality, timelines, and accountability across the team
• Advise stakeholders on tradeoffs, limitations, and appropriate use of AI/ML

• 8+ years of experience in software engineering, data science, or AI/ML
• 3+ years leading AI/ML projects and managing individual contributors
• Experience delivering AI/ML or data‑driven systems in production
• Ability to define technical approaches from unclear or evolving business requirements
• Experience working with cross‑functional partners outside of engineering
• Working knowledge of modern AI/ML methods (e.g., LLMs, applied ML, data pipelines, evaluation)
• Ability to communicate technical concepts and decisions to both technical and non‑technical audiences

• Curious about AI’s potential
• Pragmatic in applying it to real problems
• Thoughtful about responsible use
• Excited to help shape how AI scales across the company

• Experience building AI/ML solutions for internal business operations (e.g., HR, support, finance, GTM, sales, customer experience)
• Familiarity with responsible AI practices (evaluation, monitoring, guardrails)
• Experience scaling teams, processes, or platforms in a high‑growth environment
• Strong systems thinking and ability to balance short‑term delivery with long‑term sustainability
• Comfort operating in ambiguity and helping others navigate it

• Great Company Culture that has been recognized by multiple organizations like Inc, and Salt Lake Tribune
• Comprehensive health, life, and disability insurance
• Generous leave policies that include 4 weeks of vacation, 12 company holidays, parental leave, and volunteer time off so you can enjoy quality of life
• 401k plans with up to 6% company match
• $2000 Paid Vacation bonus
• EAP through Headspace
• Check out all our benefits that benefit you

At Bamboo

HR, we're building something different: we're building a people…