Gusto

Software Engineer

• Lead configuration of Workday modules including Payroll, Absence, Time Tracking, HCM, Talent, and Compensation
• Architect and guide Workday business processes, calculated fields, condition rules, and security roles
• Evaluate and adopt new features with each Workday release and guide policy development
• Develop and own advanced, matrix, composite, and dashboard Workday reports
• Drive data quality and integrity across Workday and connected systems
• Own audit readiness through reporting, documentation, and control frameworks
• Design and lead testing strategies, test plans, scripts, and UAT coordination
• Lead regression and functional testing for biannual Workday releases
• Advise cross-functional stakeholders and senior partners on complex Workday matters
• Provide expert-level system support and independently resolve complex issues
• Develop scalable solutions that prevent recurring issues
• Mentor and upskill team members and key users on Workday functionality
• Serve as an internal subject matter authority on Workday capabilities and best practices

Workday Developer

Full-stack Engineer

• Design and build across the Otto platform, including the runtime and agent graph, tool/action layer, Rails/GraphQL backend, and advocate-facing experience
• Own a meaningful slice of the platform end-to-end
• Expand autonomous, tool-using actions with human-in-the-loop approval using secure, auditable identity and permissions
• Build evaluation and observability systems, including LLM-as-judge, deterministic scorers, offline gates, and online production monitoring
• Work with LLMs on prompting, tool/function design, retrieval, and feedback loops
• Partner with Product, Data, Design, and CX teams to turn advocate and customer pain into shipped capabilities
• Mentor engineers and set standards for responsible, scalable agentic systems

Staff Software Engineer

• Design, build, and test Gusto core products including Payroll, Benefits, HR, Retirement, Gusto Money, Gusto Solo, and Gusto Pro
• Mentor engineers solving complex technical problems at large scale
• Scale Ruby/Rails and JavaScript/React applications
• Collaborate with Product Management, Data, Design, and Platform Engineering teams to understand customer pain points and develop solutions
• Prototype, iterate, and launch product improvements daily
• Operate across the full product lifecycle from specification and design through launch and long-term iteration
• Write frontend code and design and build reliable backend APIs
• Influence product direction and own post-launch product outcomes

Staff Software Engineer, Core Products

Machine Learning Engineer

• Build core components of the ML and AI Platform technical roadmap, including MLOps solutions with automated pipelines and standardized processes to build, deploy, run, monitor, debug, and retrain ML and AI models
• Develop, maintain, and enhance frameworks for machine learning model development and deployment
• Collaborate with ML/AI builders and application owners to determine business requirements and SLAs for API-enabled services
• Develop, maintain, and enhance infrastructure supporting machine learning services
• Develop new deployment patterns for machine learning models with CI/CD pipelines and automated testing
• Apply AI tools in the engineering workflow and bring an AI-native lens to engineering and product decisions
• Adopt best practices for using AI technologies across technical development

Software Engineer, ML Platform

Backend Engineer

• Build tooling and platforms for engineering teams to provision and access new datastores
• Evaluate and pilot highly available, horizontally scalable storage systems
• Own Kafka capacity planning, partitioning, performance tuning, and reliability at scale
• Stand up and operate non-relational datastores such as DynamoDB
• Coordinate migrations and topology changes across MySQL, Postgres, Redis, and Kafka with minimal production disruption
• Drive efficiency and reliability improvements through query and consumer optimization, caching strategies, workload management, automation, and data consistency, integrity, and security standards
• Participate in on-call and reduce long-term operational burden
• Partner with product engineering teams and share operational expertise

Software Engineer, Database Infrastructure

Data Engineer

• Frame loosely defined data engineering problems and align stakeholders
• Design, build, and deliver durable data solutions end-to-end
• Build tools and systems that make Gusto's data consistent, user-friendly, and helpful
• Partner with analytics, product, and engineering teams
• Deliver data solutions that drive business and customer impact
• Build and maintain scalable data pipelines and data products
• Ingest data from APIs, databases, SaaS applications, and event streams
• Implement reliable, testable, and maintainable data transformations
• Implement CI/CD pipelines, automated testing, and data observability
• Monitor, alert, and respond to incidents for production-grade data pipelines
• Optimize performance and cost across data workflows and storage systems
• Leverage AI and automation to build self-service tools, intelligent pipelines, and agents

Senior Data Engineer

• Design, build, and test infrastructure capabilities for Risk products
• Lead complex projects end-to-end from technical design through rollout
• Partner with Engineering, Product Management, Design, Data Science, and Operations
• Scale Ruby/Rails and TypeScript/React applications
• Serve as a domain expert for Risk platform capabilities
• Set stakeholder expectations and communicate project updates
• Mentor engineers and contribute to a high-performing team
• Identify and execute technical debt and quality improvements
• Participate in on-call rotation and respond to reliability, security, and performance incidents
• Prioritize postmortem action items
• Build tools, patterns, and documentation to improve team productivity

Senior Software Engineer, Risk

Sales Operations Manager

• Build, automate, and maintain reports and dashboards tracking pacing, funnel metrics, trigger and backlog health, SLAs, and rep productivity
• Own weekly forecasting, CFQ closed-won ARR pacing, and probability-weighted pipeline forecasting for business reviews
• Partner with Finance and Analytics on operational reporting and revenue insights
• Own metric definitions and data accuracy
• Identify and prototype AI and automation tools for sales workflows
• Partner with Sales, BizTech, Product, and Enablement to embed AI and improve productivity
• Lead AI and automation projects connecting data insights to process improvements
• Analyze workflows and rep performance, recommending process and automation changes
• Evaluate Rules of Engagement requests and compensation exception requests
• Document processes, build playbooks, and drive adoption of tools and workflows
• Support Expansion Sales leadership and representatives with data requests, process issues, and investigations
• Own account and territory administration, routing, coverage, reassignments, and segment reclassification
• Support onboarding and offboarding, roster updates, router mapping, and leave-of-absence processing
• Troubleshoot reporting issues, workflows, CRM data, pipeline visibility, synchronization, and ARR discrepancies
• Collaborate with Sales Leadership, RevOps, Finance, BizTech, and Product
• Translate sales challenges into business requirements and durable solutions
• Provide updates to managers and senior leadership on timelines, risks, and outcomes

Sales Operations Analyst

Onboarding Specialist

• Support new clients as they begin their journey with Gusto 401(k)
• Help small businesses set up their 401(k) plans through timely guidance, clear communication, and education
• Serve as the first voice and face of Gusto 401(k) for B2B customers via phone and email
• Monitor onboarding progress and proactively follow up with clients
• Guide clients through plan setup and use of the Gusto 401(k) platform
• Explain 401(k) concepts and regulatory requirements accessibly
• Identify and escalate potential compliance or setup issues
• Collaborate with internal teams, especially Sales, to ensure a seamless onboarding experience
• Share client feedback to improve processes and products
• Manage Talkdesk, Salesforce, Slack, Google Suite, Confluence, and Jira while handling sensitive information carefully

Retirement Onboarding Coordinator

Accountant

• Own end-to-end revenue recognition for the Gusto Retirement segment, including 401K SaaS, IRA, AUM fees, and plan administration
• Prepare monthly journal entries, subledger reconciliations, and supporting schedules for retirement revenue streams
• Support month-end, quarter-end, and year-end close within established timelines
• Apply ASC 606 guidance to complex arrangements, including variable consideration, contract modifications, and principal-versus-agent assessments
• Build and maintain automated solutions using AI tools, Python/SQL, or Excel scripting
• Identify and implement revenue-close process improvements to reduce cycle time and increase accuracy
• Partner with auditors during annual audits by leading walkthroughs, providing documentation, and responding to inquiries
• Collaborate with Retirement Operations, FP&A, Engineering, and Data teams on revenue data integrity and new product launches

Revenue Accountant

AI Engineer

• Own the product vision, AI roadmap, and backlog for Gusto’s legal and compliance technology portfolio
• Set a multi-year vision for an AI-augmented legal function
• Define success metrics for AI adoption, automation, accuracy, cycle-time reduction, and cost-to-serve
• Design and deliver generative-AI capabilities for contract drafting, review, redlining, clause extraction, summarization, search, and risk flagging
• Build and productize AI agents for legal intake, contract self-service, obligation tracking, policy Q&A, and regulatory-change monitoring
• Define and prioritize MCPs and integrations connecting legal systems to LLMs and orchestration frameworks
• Apply RAG over contracts, policies, and legal knowledge bases
• Evaluate and scale AI legal-tech vendors and native AI features through proofs-of-concept and build-vs-buy assessments
• Establish AI feature evaluation and quality processes, including prompt design, model selection, hallucination testing, human-in-the-loop review, and continuous tuning
• Lead AI-augmented redesign of legal workflows including CLM, matter management, legal spend, e-signature, entity management, legal hold, e-discovery, and GRC
• Translate business requirements into functional specifications and solution designs
• Ensure solutions meet privacy, security, internal controls, compliance, privilege-protection, and auditability standards
• Partner with engineers, administrators, architects, platform owners, Legal, Compliance, Security, risk, audit, data, BI, and AI teams
• Manage intake, prioritization, delivery, change management, training, documentation, and AI adoption
• Define KPIs, dashboards, analytics, and AI-driven insights for legal and compliance operations

Legal & Compliance AI Engineer

Compliance

• Serve as a strategic compliance partner to Product, Engineering, and business stakeholders on financial services regulations across lending, embedded finance, deposit products, payments, and money movement
• Mature and expand Gusto's Compliance Management Program for emerging financial services and payments offerings
• Own regulatory change management with Government & Regulatory Affairs
• Translate complex regulations into actionable guidance, controls, procedures, training, and documentation
• Oversee product compliance controls, monitoring, control testing, risk assessments, and issue management
• Support vendor onboarding, third-party risk assessments, due diligence, and ongoing oversight
• Liaise with banking and strategic partners on audits, compliance reporting, examinations, regulatory inquiries, and remediation
• Design and apply AI-enabled workflows for compliance monitoring, control testing, documentation, and issue management with human oversight
• Report to the Head of Financial Services Compliance
• Partner cross-functionally with Product, Engineering, Legal, Compliance, Marketing, Operations, and business leaders

Compliance Officer

Product Designer

• Design and maintain Workbench components and patterns, including complex components with variables, variants, and tokenized styles
• Own and evolve semantic and functional token architecture during the Brand Refresh and move toward theming
• Partner with engineering on component consistency, design decisions, implementation reviews, technical plans, and pull requests
• Contribute to AI tooling, structured documentation, Storybook examples, and content legible to LLMs
• Support product designers and engineers through Office Hours, Slack, and asynchronous review
• Document and publish design decisions, usage guidance, and component rationale
• Participate in decisions about component architecture, naming conventions, and migration strategy

Product Designer, Design Systems

Advisor

• Grow the small business economy by helping businesses with payroll, health insurance, 401(k)s, and HR
• Role-specific responsibilities are not provided; the posting contains placeholder text for the role and team descriptions
• The day-to-day duties section contains placeholder bullet points rather than actual responsibilities
• Actively engage with AI tools relevant to the role and develop AI fluency as technology evolves