Agentic Engineering Manager

BambooHR•Utah | Hybrid, UT

14h•Hybrid

About The Position

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.

Requirements

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

Nice To Haves

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

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
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