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Homebase is an all-in-one platform for hourly teams, helping over 150,000 small businesses manage scheduling, time tracking, payroll, communication, HR, and more. The company has tracked over a billion hours for 2M+ workers and is expanding its AI-first capabilities.
You will join the Growth team as a Senior Software Engineer II, Full Stack, owning greenfield development across Go-to-Market (GTM) tooling, experimentation infrastructure, and intelligent automation. This role combines zero-to-one execution with cross-functional collaboration to shape Homebase's growth engine.
Key Responsibilities:
- Lead technical design and implementation of new GTM tools and platforms that drive scale, automation, and growth
- Partner cross-functionally with Sales, Data, Analytics, and Product to translate business needs into well-scoped technical solutions
- Modernize and contribute to experimentation infrastructure, helping teams ship faster and learn more efficiently
- Build AI- and LLM-powered capabilities (agents, workflows, embedded intelligence) that unlock new growth opportunities
- Elevate engineering quality through system design leadership, architecture reviews, and mentorship
- Drive technical discovery in ambiguous problem spaces—clarifying requirements, shaping roadmap, and providing direction
- Collaborate in-office on key hybrid days (Tuesdays and Wednesdays required) to align quickly and accelerate iteration
The role emphasizes pragmatic decision-making, balancing speed with long-term scalability, and building systems that integrate multiple data sources and support complex workflows.
Benefits include stock options, 4% RRSP/TFSA company match, comprehensive medical/dental/vision coverage, flexible PTO, access to paid AI tools, maternity/parental leave top-up support, life insurance, disability coverage, meals, team offsites, and a Work From Anywhere Month.
Requirements:
- 5+ years of software engineering experience, including 2+ years in technical leadership
- Strong full-stack development skills with Rails + React (or equivalent modern stacks)
- Proven ability to lead ambiguity-heavy, greenfield projects from concept to delivery
- Experience designing systems that integrate multiple data sources and support complex workflows
- Hands-on experience building with AI/LLMs (agents, embeddings, orchestrating model calls)
- Strong communication skills—able to align technical and non-technical teams around shared outcomes
- Track record of pragmatic architectural decisions that balance speed with long-term scalability
