Homebase (YC W21)

Marketing Operations

• Act as the administrator and technical owner for Homebase’s marketing technology stack (CDP, marketing automation, ad-tech integrations, tracking pixels and tags, web behavior analytics, and AI search visibility).
• Maintain stack reliability and data accuracy, monitoring and troubleshooting ad platform integrations (Meta CAPI, Google Ads, Apple Search Ads) to ensure consistent event delivery and attribution accuracy.
• Implement marketing tags for new channels and partners to support cross-functional needs.
• Co-own GTM data quality with RevOps and Analytics; document configurations, architecture, and best practices.
• Build and manage audiences and target segments across marketing channels.
• Partner with Analytics on attribution tooling and data flow accuracy to ensure models have the right inputs.
• Oversee data governance across systems, ensuring data is current and accurate.
• Partner with RevOps to integrate marketing data into Salesforce and ensure key Salesforce events flow back into the marketing tech stack for campaign and attribution visibility.
• Support lifecycle automation and campaign workflows to improve speed to market.
• Identify redundant tools, fields, or data events and recommend simplifications and consolidation opportunities to RevOps leadership.
• Serve as the primary project owner of marketing operations projects, driving cross-functional results.
• Operate within the RevOps sprint framework to prioritize, plan, and deliver on stack initiatives.
• Surface risks and dependencies early and align Marketing, RevOps, Analytics, and Data Engineering on execution.

Senior Marketing Operations Manager

Full-stack Engineer

• Own identity end-to-end, design and build systems managing user authentication
• Lead design of role-based and attribute-based access control (RBAC/ABAC) systems
• Design and operate backend systems powering push, email, and in-app notification delivery
• Write RFCs, lead technical design reviews, set technical direction
• Break down problems, ship with velocity, integrate AI tooling into workflow
• Mentor peers, share knowledge, elevate design and code reviews
• Collaborate with Product, Security, and feature-domain engineering teams

Senior Software Engineer II

Product Manager

• Own the end-to-end first 30-day customer experience — defining the product strategy, vision, and roadmap
• Drive signup-to-activation conversion, reducing drop-off across the free trial funnel
• Design and optimize self-serve onboarding flows, in-product guidance, progress checklists, interactive product tours
• Own and improve key growth metrics, including activation rate, trial-to-paid conversion rate, time-to-value, and customer acquisition cost (CAC)
• Run a high-velocity experimentation program — design A/B tests, analyze results, and iterate rapidly
• Define and execute an AI-first product strategy for onboarding
• Partner cross-functionally with Engineering, Design, Marketing, Sales, and GTM leadership
• Collaborate with Marketing and GTM on lifecycle messaging and in-product nudges

Senior Product Manager, Growth

Account Executive

• Own the full sales cycle from discovery through close
• Manage a mix of inbound leads and self-generated outbound opportunities
• Execute a high-volume prospecting strategy, including 75+ outbound calls daily while effectively managing inbound demand
• Conduct consultative sales conversations with small business owners and operators
• Partner with SDR teams to maximize conversion and pipeline creation
• Use AI and automation tools to increase productivity, improve outreach effectiveness, and reduce administrative work
• Maintain accurate forecasting, CRM hygiene, and opportunity management
• Act with urgency and a strong bias toward action in a high-velocity environment

• Build workflow automation, orchestration services, and agentic capabilities that improve engineering productivity, quality, and delivery velocity
• Create shared developer platforms and experiences that help teams effectively incorporate AI into their daily workflows
• Design evaluation, observability, and operational frameworks that improve the reliability and effectiveness of AI-enabled systems
• Partner closely with Engineering, Product, Design, Data, Infrastructure, and Security teams to understand needs and deliver practical, high-impact solutions
• Evaluate emerging technologies and help determine where they create meaningful value for engineers, customers, and the business
• Establish repeatable patterns and best practices that allow teams to safely adopt new capabilities at scale
• Contribute to technical direction, architecture decisions, engineering standards, and platform strategy

Senior Software Engineer, AI Systems

Salesforce Administrator

• Own the full stack, day-to-day Service Cloud administration—case management, queues, assignment and escalation rules, Omni-Channel routing, macros, and the support workflows that keep the Customer Support team efficient.
• Serve as the first responder for Salesforce admin requests from Sales and Support—user and license management, profiles and permission sets, page layouts, fields, list views, and report/dashboard updates.
• Triage and manage the RevOps request queue in Linear—intake, prioritize, route, and resolve tickets; escalate complex builds to senior RevOps engineers with clear, well-scoped context.
• Build and maintain declarative automation (Flows, validation rules, approval processes) that support Sales and Support processes without introducing technical debt.
• Maintain data hygiene and integrity—deduplication, imports, mass updates, and routine data-quality monitoring.
• Support the GTM tech stack integrations that touch Salesforce (Talkdesk, Calendly, etc.), partnering with senior team members on the more complex connections.
• Create and maintain documentation, user guides, and lightweight training for Salesforce processes and Service Cloud workflows.
• Use AI tools to accelerate your own work—drafting documentation, summarizing and triaging requests, troubleshooting, and speeding up routine configuration.

Senior Salesforce Administrator

• Design, build, and maintain backend services, APIs, application logic, and data models in Ruby on Rails
• Own and deliver growth initiatives from concept through launch and iteration
• Build customer-facing product experiences across the Homebase platform
• Contribute to React and TypeScript applications where needed to deliver end-to-end solutions
• Design, build, and evaluate experiments that improve activation, engagement, retention, and monetization
• Partner closely with Product, Design, Data, and Engineering stakeholders to identify and prioritize opportunities
• Leverage analytics and experimentation data to inform product decisions
• Implement and improve experimentation frameworks, analytics instrumentation, and growth tooling
• Use AI tools and automation to improve engineering velocity and team effectiveness
• Drive technical quality through testing, code reviews, operational excellence, and thoughtful architecture
• Mentor junior engineers through collaboration, feedback, and example
• Balance speed and quality while maintaining strong customer outcomes

Fullstack Growth Engineer II

AI Engineer

• Embed with internal teams (e.g., Sales, Marketing, Support) to map workflows, surface pain points, and identify high-leverage automation opportunities.
• Design, prototype, and ship AI-powered automations end-to-end, applying LLMs creatively to real business workflows in ambiguous, fast-changing environments.
• Build full-stack solutions—from Python scripts and backend services to intuitive React interfaces—for internal teams to use in production.
• Operate like a product-minded engineer: run interviews, co-design solutions, and iterate based on real-world usage and feedback.
• Measure impact rigorously—ship changes that move metrics like rep talk time, ticket deflection, adoption, and operational efficiency.
• Codify what works by creating reusable templates, playbooks, and documentation for future engineers and partner teams.
• Experiment with AI tools to accelerate your own workflows and demonstrate AI fluency in your daily work (a Homebase expectation for all roles).