Jobs at Homebase

Lead strategy and execution for the first 30-day onboarding and activation experience to accelerate time-to-value, increase trial-to-paid conversion, and reduce drop-off. Ship AI-first features, run high-velocity A/B experiments, analyze behavioral analytics, and partner with Engineering, Design, Marketing, and GTM to optimize freemium and self-serve funnels.

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.

Lead a 20+ person Data & AI org owning strategy, platform, MLOps, applied AI productization, data governance, experimentation, and cross-functional partnership to drive AI-powered customer outcomes.

Own and evolve a cross-platform design system: build and document components in Storybook from Figma, ensure design-to-code fidelity and WCAG 2.1 AA accessibility, collaborate with iOS/Android teams (Swift/Kotlin), leverage AI to accelerate work, and write component tests and visual regression checks.

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.

Build and maintain high-performance tablet apps (iPad and Android) using React Native. Collaborate with product, design, and backend teams to deliver features, improve performance and reliability for millions of users, use AI tools to accelerate development, participate in code reviews and architecture, and contribute to the mobile technical roadmap.

Build and scale Homebase's organic social presence: own content calendar, create native Instagram/TikTok content, manage influencer and customer relationships, moderate community, report on engagement metrics, and coordinate across creative and growth teams.

Own and stabilize the marketing tech stack, ensure data quality and attribution, enable integrations between marketing channels and Salesforce, automate lifecycle and campaign workflows, lead MarOps projects, and drive cross-functional alignment across Marketing, RevOps, Analytics, and Data Engineering.

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.

The Applied AI Scientist will work on developing and deploying AI systems, collaborating across teams to improve product features and drive customer impact through machine learning models.