What you'll do
- Lead end-to-end embedded AI projects including discovery, build, launch, and scaling to improve operational efficiency.
- Develop full-stack internal AI-powered systems with a focus on speed, maintainability, and measurable business impact.
- Own and evolve shared AI software assets used by multiple teams, creating reusable templates and playbooks.
- Collaborate closely with engineering and stakeholders to communicate tradeoffs, scope, and rollout plans effectively.
- Define success metrics upfront and iterate based on real usage to drive adoption and KPI improvements.
What you should know
- Ideal candidates should be comfortable working in ambiguity and translating complex workflows into scoped MVPs quickly.
- The role requires strong communication and stakeholder leadership to run sessions, demos, and drive adoption internally.
- Applicants should have hands-on experience with LLMs and AI workflow automation to pragmatically design solutions.
- This is an entry-level role but expects 2+ years of professional software engineering experience shipping production systems.
- The company values a collaborative, fast-moving environment with a strong emphasis on impact and continuous learning.
About the company
- Homebase is a mission-driven company focused on empowering small businesses with tools for scheduling, payroll, HR, and communication.
- The company culture emphasizes customer obsession, fast learning, ownership, mastery, and teamwork.
- Homebase serves over 100,000 small businesses and tracks billions of work hours, highlighting significant market impact.
- They offer a hybrid work model with required in-office days for collaboration and emphasize diversity and inclusion.
- Homebase provides comprehensive benefits including stock options, healthcare, flexible time off, and family support.
Key required skills
RubyPythonTypeScriptJavaScriptReactLLMsAI workflow automation