Jobs at Homebase

Build and launch reliable features across scheduling, HR management, and payroll. Own services and components end to end, including estimation, implementation, testing, production support, and iterative improvement. Collaborate with Product, Design, and Data; solve complex domain problems; use AI tools to improve engineering workflows; provide code reviews; advance engineering standards; and mentor junior engineers.

Build and operate Homebase’s data and ML platform, including CDC and streaming pipelines, Databricks infrastructure, Terraform deployments, real-time inference services, feature stores, and MLflow workflows. Partner with data science and engineering teams to productionize AI capabilities, improve reliability and observability, and participate in on-call operations. The role requires collaboration at the Toronto hub every Tuesday and Wednesday.

Leads and develops a data science team, mentors scientists, and oversees production machine learning models for product features and internal business systems. Designs experimentation programs, partners with Engineering, Product, Design, and executives, and drives applied AI initiatives across scheduling, hiring, payroll, pricing, personalization, sales, and marketing.

Own the technical marketing operations stack, including data access, pipelines, integrations, audience and conversion flows, monitoring, governance, documentation, and tagging. Partner with Growth, Lifecycle, Analytics, Data Engineering, Product, and RevOps to make product data reliable and usable for marketing. The role requires hands-on work with SQL, APIs, event schemas, marketing automation, CDP and advertising platforms, plus AI-enabled quality assurance and workflow automation.

Support small-business customers using Homebase Payroll across chat, email, and phone. Explain payroll workflows, investigate complex issues, identify recurring customer trends, and collaborate with Product, Engineering, Operations, and Customer Experience teams on improvements. The role also involves using AI tools, testing new processes, documenting solutions, and helping customers confidently manage payroll processing, taxes, direct deposits, onboarding, corrections, and year-end activities.

Lead full-stack development of growth, sales, and product tooling, experimentation infrastructure, and AI- and LLM-powered workflows. Partner with cross-functional teams to translate business needs into scalable technical solutions, drive greenfield projects, shape roadmaps, and improve system architecture. The role includes technical leadership, design reviews, mentorship, and collaboration in a hybrid office environment.

Leads Homebase’s revenue enablement function by building onboarding, training, certification, coaching, and AI-enabled workflow programs for customer-facing teams. Owns enablement strategy, sales methodology adoption, content, learning experiences, change management, and team development. Partners with Revenue Operations, Product, IT, and leadership to improve ramp time, productivity, conversion, monetization, and expansion outcomes through data-driven programs.

Provides technical leadership across Homebase’s core product domains, including Payroll, Scheduling, Time Tracking, and HR Management. Defines technical vision, API strategy, service architecture, and domain-driven system decomposition. Resolves cross-cutting scalability, reliability, performance, and data-consistency challenges; mentors senior engineers; drives engineering standards; partners with product, data, design, and leadership; and advances AI-enabled engineering workflows.

Build and scale full-stack Hiring Assistant features using React and Ruby on Rails. Develop AI-driven hiring workflows for candidate discovery, screening, matching, and onboarding; integrate LLMs, agents, and automation tools; and contribute to architecture, APIs, distributed systems, performance, testing, and scalability. Collaborate with Product, Design, and Data while improving engineering velocity and code quality in a high-ownership hybrid environment.

Own Homebase’s first 30-day customer experience, including onboarding, activation, free-trial conversion, and early engagement. Define the growth product strategy and roadmap, optimize self-serve funnels, run A/B experiments, analyze behavioral data, and develop AI-first onboarding experiences. Partner with Engineering, Design, Marketing, Sales, and GTM leadership to improve activation, time-to-value, retention, and revenue outcomes.

Manage real-time workforce operations for the Customer Experience team, including intraday staffing adjustments, interim scheduling, work assignments, queue monitoring, escalations, reporting dashboards, and performance scorecards. Analyze workforce and customer support data with SQL and Looker to improve staffing decisions, identify trends, and enhance operational efficiency. The role also focuses on workflow automation, AI-powered productivity improvements, cross-functional collaboration, and continuous process improvement.

Front-line SDR responsible for high-volume outbound prospecting (100+ dials/150+ touches daily), qualifying SMBs, booking 10–15+ discovery calls weekly, maintaining CRM hygiene (Salesforce/HubSpot), executing personalized multi-channel sequences, using AI and sales automation, and partnering with AEs to optimize handoffs.

Lead and grow the HB Assistant engineering team, own end-to-end delivery and architecture for web and mobile agentic experiences, partner with Product/Design/Data, drive engineering excellence (quality, monitoring, latency, data validation), and recruit top talent in a fast-moving AI-native environment.

The Software Engineer will build and maintain internal developer tools, optimize CI/CD pipelines, and collaborate across teams to enhance developer experience and infrastructure reliability.

Lead the Growth engineering team to build and scale acquisition funnels, PLG motions, onboarding personalization, and retention systems. Drive high-cadence experimentation (A/B testing), integrate AI-powered personalization and automation, partner with Product/Design/Data/Marketing, make architectural decisions, and hire/coach engineers to move quickly while minimizing technical debt.

Lead and execute RevOps initiatives: administer and scale Salesforce and GTM tech stack, design forecasting and capacity frameworks, drive cross-functional projects, improve funnel performance, build reporting/visibility, and coach teams on AI-enabled workflows.