Homebase (YC W21)

Payroll

• 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

Full-stack Engineer

• 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

Sales

• 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.

VP of Sales

Artificial Intelligence

• Build and optimize conversational journeys within Sierra AI—defining how the agent gathers context, handles branching logic, and resolves customer issues without human handoff.
• Translate complex support workflows into structured, testable AI journeys that the agent can execute accurately and confidently.
• Identify gaps in agent behavior through data analysis, then design, test, and iterate on solutions to close them.
• Own the full lifecycle: identify → design → build → test → monitor → improve.
• Analyze contact data, containment rates, and customer sentiment to identify the highest-impact areas to focus on.
• Use tools like Sierra AI, Level AI, and Ask AI to surface trends, prioritize work, and measure the impact of every change you ship.
• Track key metrics—containment rate, CSAT, resolution accuracy—and use them to guide decisions and communicate progress.
• Partner with Product Managers, Engineers, and Support SMEs to scope and build AI capabilities that require backend access or new action tools.
• Document workflows clearly in Google Docs and communicate asks to engineering and product in a way that's specific, well-reasoned, and actionable.
• Proactively flag opportunities and surface data-backed recommendations to your manager and cross-functional partners—not just wait to be assigned work.
• Rigorously test new journeys before they go live—catching edge cases, error states, and failure modes before customers see them.
• Monitor live journeys post-launch and continuously refine based on real customer behavior.
• Contribute to a culture of experimentation: form a hypothesis, build it, measure it, iterate.

AI Trainer – Support Operations

• Own pipeline health analytics – build and maintain reporting on deal velocity, stage conversion, win/loss rates, and forecast accuracy to give sales leadership a reliable view of the business at any time.
• Partner with RevOps and Sales leadership to evaluate ROI by motion and channel – identifying which go-to-market plays are driving revenue and which aren't pulling their weight.
• Develop end-to-end attribution and lead source analysis – connecting marketing inputs to pipeline outputs and closed revenue to inform spend and targeting decisions.
• Build and maintain a clear, consistent sales metric framework – ensuring pipeline, activity, and performance KPIs are reliably defined and trusted across Sales and GTM.
• Proactively surface risks and opportunities – identify pipeline gaps, rep performance trends, and deal quality signals before they become surprises for leadership.
• Build scalable self-serve tools (dashboards, notebook) that empower reps, managers, and executives to track performance without relying on ad hoc requests.
• Translate complex analyses into concise, executive-ready insights that drive decisions on headcount, comp, territory design, and GTM investment.
• Champion AI-assisted analytics workflows – automate recurring reporting, accelerate analysis, and help the broader sales and ops team leverage data more effectively.
• Collaborate closely with data engineering and RevOps to ensure CRM data integrity, event tracking accuracy, and instrumentation completeness for new sales motions.

Lead Analyst, Sales

Marketing

• Help organize and support day-to-day marketing projects and campaigns.
• Keep our campaign trackers, databases, and project tools up to date.
• Coordinate team meetings and help keep cross-functional projects on track.
• Help collect customer stories, testimonials, and release forms for marketing use.
• Support the development and rollout of multi-channel marketing campaigns.
• Join creative brainstorms and pitch ideas to make campaigns more engaging.
• Gather and analyze campaign data to uncover trends and performance insights.
• Contribute to reports that help the team measure success and find opportunities to improve.
• Learn how to use data to inform marketing strategies and A/B tests.

Lifecycle Marketing Intern

• Contribute to building and maintaining infrastructure and developer tooling that empowers Homebase engineers to deliver exceptional software.
• Support improvements to internal developer tools and products that streamline/automate workflows and reduce friction in the software lifecycle.
• Assist in optimizing our AWS infrastructure for reliability, scalability, and performance.
• Learn and apply cloud technologies and best practices with guidance from senior engineers.
• Participate in on-call rotations, helping teams resolve infrastructure questions and incidents.
• Collaborate across engineering teams and grow through mentorship from experienced engineers.
• Explore AI-powered observability and automation tools to help continuously improve developer velocity.

Software Engineer 1, Infrastructure/Developer Tooling

Product Marketing

• Support Go-to-Market Planning: Assist with positioning, messaging, and launch materials for upcoming features and product enhancements.
• Conduct Customer & Market Research: Help gather and synthesize insights from feedback, reviews, competitor analysis, and market trends to inform segmentation, messaging, and value propositions.
• Translate Insights into Action: Support research that turns customer and market insights into recommendations for product, marketing, or sales strategies.
• Help Develop Product Marketing Content: Draft materials such as one-pagers, internal briefs, slides, competitor summaries, and light messaging explorations.
• Analyze Product Usage & Performance: Partner with PMM and Analytics to track product metrics, surface key trends, and support light reporting or synthesis.
• Collaborate Cross-Functionally: Work with Product, Sales, User Research, Brand, and Growth teams to learn from customers, refine messaging, and support integrated initiatives.
• Experiment with AI Tools: Explore AI platforms to accelerate research, generate content variations, and uncover insights that support smarter GTM execution.
• Participate in Campaign Execution: Support integrated marketing or lifecycle campaigns that drive awareness, adoption, and customer success across our product lines.

Product Marketing Intern

Security Engineer

• Define and execute Homebase’s multi-quarter Application Security roadmap, aligning security initiatives with business objectives and company OKRs.
• Architect secure-by-default patterns, frameworks, and paved roads that developers adopt naturally, removing entire classes of vulnerabilities before they reach production.
• Evaluate emerging security technologies and make build-versus-buy decisions that shape the security platform.
• Drive security and product trade-off decisions at the architectural level, balancing protection with velocity.
• Influence company-wide engineering practices and security investments through data-driven recommendations.
• Lead threat modeling and security architecture reviews for AI-powered features, model training pipelines, and LLM integrations.
• Design and implement security controls specific to AI/ML systems, including prompt injection defenses, model input validation, output filtering, and data pipeline integrity.
• Create AI-powered vulnerability detection and security automation that multiplies the team’s effectiveness.
• Partner with AI engineering teams to establish secure development patterns for model deployment and inference infrastructure.
• Stay ahead of the evolving AI threat landscape and translate emerging risks into practical engineering guidance.
• Build and maintain security tooling and automation that integrates seamlessly into CI/CD pipelines, enabling continuous security validation at scale.
• Own the vulnerability management program: design modern systems for detection, prioritization, tracking, and remediation of security debt across the product portfolio.
• Own the bug bounty and responsible disclosure program, turning external researcher findings into systemic improvements.
• Embed security into the full software development lifecycle through scalable guardrails, automated testing frameworks, and developer-facing documentation.
• Partner with senior leaders across Engineering, Product, and Infrastructure to improve Homebase’s overall security posture.
• Pioneer a security partnership program, mentoring engineers across the organization, and driving a culture of shared security ownership.
• Provide expert guidance during security incidents and lead post-incident analysis to drive systemic improvements.
• Curate and author security guidance, patterns, and training content that raises the security bar organization-wide.
• Influence security decisions at the department and company level; shape how Homebase invests in security capabilities.

Staff Security Engineer, Application Security

Engineering Manager

• Lead and grow two platform teams
• Manage the Frontend Platform and Mobile Platform teams.
• Set a high bar for technical excellence, accountability, and sustainable velocity.
• Develop strong leaders and create clear ownership boundaries across web and mobile platform domains.
• Establish a cohesive architecture vision across web, iOS, and Android.
• Drive improvements in shared frameworks, design systems, CI/CD, testing strategy, release processes, observability, and performance foundations.
• Increase reuse and consistency across surfaces while enabling product teams to move independently.
• Invest in tooling, automation, and internal platforms that reduce friction and cognitive load for product engineers.
• Measure and improve key signals such as cycle time, defect rates, release stability, and developer satisfaction.
• Standardize best practices across client engineering.
• Drive adoption of AI-assisted development workflows across frontend and mobile engineering, including code generation, testing, debugging, and release validation.
• Partner with AI and Data teams to ensure our client foundations support AI-powered and agentic product capabilities.
• Set measurable expectations around AI-enabled productivity gains.
• Review designs and architectural proposals.
• Unblock complex cross-team technical challenges.
• Ensure platform investments translate into tangible gains for product teams.
• Build strong in-office working rhythms that reinforce trust, alignment, and fast decision-making across hubs.

Senior Engineering Manager, Client Platform

AI Engineer

• Lead embedded cycles end-to-end: discovery (workflow mapping + KPI definition), build/launch, and scale/standardize.
• Ship full-stack internal systems that teams rely on daily; balance speed with maintainability.
• Own and evolve shared internal AI software that multiple teams depend on.
• Establish clear ownership paths for each deliverable: team-owned (shared), co-owned (team-specific), or handoff (when there’s a natural long-term home).
• Drive measurable impact: define success metrics up front and iterate until adoption and KPI movement are real.
• Create reusable templates, components, and playbooks so the next engagement ships faster and better.
• Partner effectively across Engineering + stakeholders: communicate tradeoffs, scope, rollout plans, and change management clearly.

Embedded AI Engineer

• Lead and grow the Mobile Platform team, including senior engineers and/or engineering managers, with a focus on high standards, clarity, and sustainable velocity.
• Define and evolve the mobile platform strategy across iOS and Android, including shared architecture, tooling, CI/CD, testing frameworks, release processes, and performance foundations.
• Partner closely with Mobile Product, Design, Data, and AI teams to enable faster experimentation and delivery of customer-facing features.
• Drive adoption of AI-assisted development workflows across mobile engineering (e.g., code generation, testing, debugging, release validation), measuring impact on quality and speed.
• Ensure mobile foundations support Homebase’s transition toward agentic, AI-powered mobile experiences.
• Stay close to the details—reviewing designs, unblocking complex technical challenges, and helping teams make high-quality decisions quickly.
• Build strong in-office collaboration habits that strengthen trust, learning, and execution across hubs.