Homebase (YC W21)

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).

AI Engineering Intern

Payroll

• Lead the Payroll Care Team
• Own the talent pipeline from Core Experience into Payroll Experience
• Set the performance standard for payroll support at Homebase
• Serve as the company’s internal authority on payroll customer experience
• Own the prioritized voice-of-the-payroll-customer feedback loop
• Partner directly with Payroll Product and Engineering leadership
• Invest in the payroll training curriculum end-to-end
• Ensure the internal knowledge base makes the team faster and more accurate
• Collaborate with the Experience Ops team for proactive support
• Coach the team to use AI fluently for diagnostics, communication, and documentation
• Own the operational rhythm for payroll support

Senior Manager, Payroll Experience

Sales Development Rep

• Own outbound prospecting across calls, emails, and social channels to generate new pipeline
• Engage small business owners and multi-location operators, uncovering challenges and identifying strong-fit opportunities
• Qualify inbound and outbound leads through consultative discovery conversations
• Book high-quality meetings that convert into revenue for Account Executives
• Own and manage your pipeline in Salesforce, prioritizing daily actions that drive results
• Consistently hit and exceed daily, weekly, and monthly activity and pipeline targets
• Confidently communicate the value of Homebase and how we solve real operational challenges
• Collaborate closely with Account Executives, Marketing, and Partnerships to improve outreach and conversion
• Test messaging, refine outbound strategies, and share insights to help scale our sales motion
• Stay informed on small business trends, workforce challenges, and the competitive landscape

Sales Development Representative

Android Engineer

• Build, ship, and maintain Android features in the SB + HRM domains that help managers staff shifts, understand their teams, and operate faster.
• Develop clean, scalable, testable Kotlin code that raises the bar for mobile engineering quality.
• Partner with backend engineers, product, and design to deliver AI-powered scheduling, role management, and team insights experiences.
• Improve performance, reliability, and overall app resilience for our 3.9M+ active workers and managers.
• Leverage AI tools to accelerate development, reduce defect rates, improve test coverage, and streamline workflow automation.
• Collaborate cross-functionally with backend, web, data, and AI platform partners to ensure seamless end-to-end system behavior.
• Participate in code reviews, architecture discussions, and continuous improvement initiatives.
• Contribute to our mobile technical roadmap and raise the bar for engineering excellence across the org.

Android Engineer II

Customer Support

• Lead our global experience teams
• Shape strategy and deliver outcomes that make a difference
• Evolve from reactive workflows into proactive, predictable, and delightful experiences
• Establish clear operating rhythms, escalation paths, and accountability across teams
• Deploy practical AI and automation to reduce manual work
• Build out new service models for customer retention and expansion
• Collaborate closely with Product and Engineering
• Own and optimize KPIs, including time-to-value, customer effort, CSAT, and revenue retention
• Build, mentor, and scale a high-performing team of support specialists and payroll implementation experts

Director of Customer Experience

Sales

• Own day-to-day execution of new hire onboarding: managing schedules, calendar invites, and ensuring all content is loaded and ready
• Track engagement & completion of enablement materials, grade evaluations, and surface knowledge gaps so we can close them fast
• Develop and deliver virtual, in-person, and self-paced training sessions tailored to individual sales roles across our payroll, core, and hiring product lines
• Maintain and update onboarding materials as our product, sales process, and tools evolve
• Partner with our Senior Manager on training priorities and content development: training decks, Kahoots, talk tracks, one-pagers, demo guides, role-play practice tools, and microlearning modules
• Translate product updates, new partner announcements, and GTM strategy/process changes into clear, seller-ready enablement assets
• Create and maintain a centralized repository of all sales enablement materials, ensuring content is current, easy to find, and mapped to the right use case and audience
• Serve as a day-to-day power user and subject matter expert on our sales tech stack (e.g. Salesforce, Talkdesk, CI platform, and AI tools)

Senior Sales Enablement Specialist

Software Engineer

• Embed with the People team, including Talent Acquisition and HR functions, to map workflows, surface pain points, and identify high-leverage AI automation opportunities that level up how we hire, onboard, and support our team.
• 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).

Forward Deployed Engineering Intern, AI-Native

Marketing

• Own paid media measurement end-to-end — go beyond platform-reported ROAS to design and execute geo holdout tests, synthetic control experiments, and incrementality frameworks that give leadership a true signal on what’s actually driving growth.
• Lead attribution strategy — evaluate, implement, and maintain multi-touch and algorithmic attribution models that connect marketing spend to pipeline and closed revenue; surface where credit is being mis-assigned and what that means for budget allocation.
• Drive CRO and web analytics — partner with Marketing and Growth to instrument, analyze, and improve the website funnel; define what’s being measured, ensure tracking integrity, and identify the highest-leverage conversion opportunities.
• Build the organic measurement framework — own SEO and content analytics, connecting organic traffic trends to acquisition outcomes and helping the team prioritize based on actual business impact.
• Support Lifecycle analytics — partner with the lifecycle team on measurement for email, push, and engagement programs; provide analytical support on segmentation and campaign performance without owning the roadmap.
• Partner with Engineering and Data Engineering on measurement architecture — define tracking requirements, co-design event schemas, and ensure the data infrastructure underpinning marketing analytics is reliable, scalable, and built right the first time.
• Build scalable, self-serve marketing analytics tools — dashboards, models, and metric layers that the CMO, Head of Growth, channel managers, RevOps, and Finance can trust and use independently without ad hoc requests.
• Translate complex measurement into clear decisions — turn geo test results, attribution shifts, and funnel findings into concise, exec-ready narratives that influence spend decisions, headcount planning, and GTM strategy.
• Champion AI-assisted workflows — automate recurring reporting, accelerate analysis turnaround, and raise the measurement bar across the marketing org.
• Ensure instrumentation integrity — partner with data engineering and marketing ops to define tracking requirements for new campaigns, channels, and funnels before they launch, not after.

Lead Analyst, Marketing

Full-stack Engineer

• Help lead the design and development of scalable full stack systems using React (frontend) and Ruby on Rails (backend)
• Own complex features end-to-end—from ideation to production—focused on Hiring Assistant workflows
• Architect and evolve systems that support AI-driven hiring experiences (screening, matching, automation)
• Integrate and apply AI/LLM tools, agents, and automation frameworks to improve product capability and team velocity
• Partner closely with Product, Design, and Data to deliver fast, high-quality outcomes
• Drive technical decision-making, including system design, performance, and scalability
• Improve engineering velocity through tooling, experimentation, and AI-assisted development workflows
• Mentor other engineers and raise the bar on code quality, testing, and execution

Senior Software Engineer

Data Engineer

• Design, develop, and optimize data pipelines to process structured & unstructured data at scale
• Build and maintain data models (fact, dim, SCD2, medallion/layered, marts)
• Create reports and dashboards to support business performance analysis
• Partner with product, data science, and analytics teams to enable AI-powered features
• Support data architecture transformation & migration on Databricks
• Troubleshoot and resolve data quality/performance issues quickly
• Optimize queries and enforce best practices for reliability and velocity
• Drive continuous improvement of workflows through automation and experimentation
• Own projects end-to-end: planning → execution → delivery

Senior Data Engineer – Hybrid

• Own the end-to-end payroll implementation experience — you're the customer's primary point of contact from kickoff through first payroll run, keeping projects on track and on timeline
• Collect and reconcile complex customer data, including business entity details, employee demographics, and YTD payroll records from prior providers
• Train customers on Homebase Payroll, ensuring they leave onboarding confident and self-sufficient
• Investigate and resolve customer payroll questions by researching regulations, troubleshooting system issues, and partnering cross-functionally when needed
• Collaborate with Sales to address implementation blockers that require customer follow-up
• Surface product feedback and partner with Product and Engineering to improve customer-facing functionality and internal tooling
• Maintain clean, accurate records in Salesforce throughout every implementation

Project Lead, Payroll

Product Designer

• Own real projects, work end-to-end across research to ship products, and leave with work you're proud to put in your portfolio
• Partner directly with product managers and engineers to define, design, and deliver solutions that make hourly work radically easier—on both mobile and web
• Conduct user research to identify pain points and unmet needs among our small business and hourly worker audiences

Product Design Intern

• Lead the design and evolution of infrastructure and developer tooling
• Own and deliver large, ambiguous problem spaces end-to-end
• Architect and optimize AWS infrastructure for reliability, scalability, cost-efficiency, and performance
• Set technical direction and best practices for infrastructure and DevEx
• Act as a technical leader and escalation point for complex infrastructure challenges
• Mentor junior engineers, partnering with them on projects they lead
• Partner cross-functionally with product, platform, and security teams
• Drive innovation through experimentation with AI-powered observability, automation, and workflow improvements
• Continuously improve system reliability and developer productivity through metrics

Senior Software Engineer – Infrastructure, Developer Tooling

Frontend Engineer

• Design and build scalable, performant frontend software for Homebase customers
• Empower other frontend teams by building tooling and improving developer workflows
• Evaluate and recommend emerging frameworks and frontend technologies
• Collaborate closely with engineering, design, and product to deliver delightful user experiences
• Mentor junior engineers and lead by example with clean, maintainable code
• Support our transition into an AI-first engineering culture by adopting tools that improve velocity

Software Engineer, Frontend

• Raise sales throughput (top priority): set the operating rhythm, targets, and coaching cadence that improves weekly output (activity → pipeline → closes).
• Lead, coach, and develop sales managers: build a team of player-coaches who run tight floors, strong 1:1s, and consistent performance management.
• Build and scale a high-energy sales culture: bring urgency, positivity, and clarity—creating an environment where high standards are normal.
• Own hiring quality at scale: design and continually improve hiring processes for reps and managers; raise the bar while keeping velocity.
• Run a metrics-first operating system: define the scorecard (inputs + outputs), review it daily/weekly, and translate data into clear actions fast.
• Drive operational excellence: strengthen process adherence, forecasting hygiene, pipeline integrity, and territory/routing where relevant.
• Partner cross-functionally: work closely with RevOps, Enablement, Marketing, Product, and CS to remove friction, improve conversion, and speed up learning loops.
• Use AI to increase leverage: identify repetitive work that AI/automation can eliminate; help the team adopt tools that improve productivity and consistency.