Jobs at Homebase

Own day-to-day Service Cloud administration and Salesforce support: manage cases, queues, automation, data hygiene, integrations, and the RevOps request queue. Triage requests, build declarative automations, maintain integrations, create documentation and training, and use AI tools to accelerate admin work.

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.

Provide expert, empathetic support across chat, email, and phone for Homebase Core (scheduling, time tracking, HR, hiring). Troubleshoot issues, identify root causes, surface product feedback, introduce relevant features, collaborate with Product/Engineering/Sales, and use AI tools to improve productivity and customer outcomes.

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.

Own the full sales cycle for high-intent small business owners in a fast-paced SaaS environment. Run consultative discovery calls, balance inbound and self-sourced opportunities, hold 10-15 business conversations daily, partner with SDRs, use proprietary AI tools, maintain accurate forecasting and CRM hygiene, and close deals with uncapped commission potential.

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.

Provide frontline customer support via chat, email, and phone; troubleshoot product issues, guide onboarding, recommend features or plans, document interactions, meet performance metrics, and use AI-enabled tools to improve efficiency and customer outcomes.

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.

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.