Agentic Engineering Manager

Please Note: This is a Utah-based hybrid position which will require some regular in-office days each week. Additionally, employment with BambooHR is contingent on passing both a background and credit check. BambooHR is on a mission to set people free to do great work. Our software powers the HR work that small and mid-sized businesses depend on every day. Across engineering, our teams use AI coding agents as the default way to build: specifying intent, delegating execution to agents, verifying and integrating their output, and codifying best practices so each project compounds. You’ll lead the team that makes this possible for everyone else. Your team owns the Agent SDK — the framework other engineering teams build their agents on — along with the core platform underneath it: a RAG pipeline, a sandboxed environment for running agent-generated code, evaluation frameworks, and observability. The specifications, guardrails, and verification standards your team sets don’t just govern your own engineers’ work, they become the floor every other agentic engineer at BambooHR builds from. AI tools and capabilities change rapidly. To stay resilient through change, you prioritize curiosity and continual learning, both for yourself and the team you manage, and you actively push new best practices into how your team specifies, delegates, and verifies work. You are accountable for your team’s delivery and for the platform’s fitness as the foundation other teams depend on: its correctness, its safety, and its reliability at scale. You will: Supervisory Responsibilities: Manage 1-2 scrum teams of Software Engineers building the Agent SDK, RAG pipeline, code execution sandbox, evaluations, and observability. Set the bar for how your engineers write agent specifications, delegate execution to AI coding agents, and verify agent-produced output, calibrated to the risk and blast radius of platform-level code Coordinate engineers steering multiple agents in parallel across concurrent platform workstreams, keeping engineering judgment and ownership intact Own the scaffolding your team and its downstream consumers delegate through: SDK conventions, agent instructions, evaluation harnesses, and playbooks, and decide which are worth investing in Duties/Responsibilities: Partner with the teams building on your platform to understand their needs and shape the SDK’s roadmap, APIs, and guardrails Demonstrate leadership and patience through regular coaching and mentoring on agentic craft, in individual and team settings Consult with Product Management, UX Designers and Tech Leads to explore and deliver software solutions Manage and maintain your team’s execution roadmap, including a grooming pipeline and delivery expectations Show and maintain accountability in team and individual performance (yours and others) in sprint goals and quarterly Objectives and Key Results (OKRs) Participate in department hiring efforts Contribute to the ongoing improvement of our systems and processes Be a great culture addition and advocate for our company values What You Need to Get the Job Done 10+ years of experience in software development 2+ years of real-world, demonstrable technical leadership Object-Oriented development experience Experience building or operating platform-level engineering teams — internal SDKs, developer platforms, or infrastructure that other teams build on Experience managing or working alongside engineers who use AI coding agents as the default way to build production software Proficiency in context engineering practices: structuring repo and task context, and setting standards for agent specifications, so agents execute reliably across teams Familiarity with core AI agent infrastructure concepts such as RAG, sandboxed code execution, evaluation frameworks, and observability Experience in developing Software as a Service Version control software, preferably Git Proficiency in documenting processes and monitoring performance metrics Exceptional interpersonal and communication skills What Will Make Us REALLY Love You Hands-on experience with LLM tooling: RAG pipelines, vector databases, sandboxed/isolated code execution environments, or agent evaluation and observability tooling (e.g., tracing, prompt/response logging, eval harnesses) Experience setting verification and security standards for agent-produced code: injection, data-handling, and unsafe generated output Knowledge of best practices related to data storage and access at high volume MySQL/MSSQL - both query language and database structure/design What You’ll Love About Us List Benefits found on Boilerplate SOP About Us At BambooHR, we’re building something different: we’re building a people intelligence platform that transforms HR and sets people free to do great work! We’re a proven market leader driving innovation while building lasting success through thoughtful, sustainable growth. Here, you’ll find a place that champions growth: both professional and personal, both individual and collective. We invest in potential, giving you the space to stretch your capabilities and turn good ideas into reality while providing the safety net of a supportive, values-driven culture. Our approach combines meaningful work with meaningful lives, offering competitive benefits, professional development, and the flexibility to thrive both in and outside the office. What sets us apart isn’t just what we do, but how we do it: with openness, integrity, and a shared commitment to doing the right thing. Join us in creating HR software that makes work better for everyone, while we make work better for you. BambooHR is committed to the full inclusion of all qualified individuals and will ensure that persons with disabilities are provided reasonable accommodations throughout the hiring process. If you would like to request accommodations, please let your recruiter know. BambooHR is An Equal Opportunity Employer–M/F/D/V Because our team members are trusted to handle sensitive information, we require all candidates that receive and accept employment offers to complete a background check before being hired. For information on California Privacy Policy, click here. Our process utilizes AI as an assistant to efficiently process and analyze candidate data. Recruiters and hiring managers maintain full oversight and accountability, ensuring that all final selection and rejection decisions are human-made and based solely on objective job qualifications. Please see our General Privacy Notice and California Privacy Notice for more details. 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