Gusto

Salesforce Developer

• Design, build, and administer Salesforce and automation platforms for Sales, Service, and Marketing teams
• Develop, test and deploy end-to-end solutions on the CRM platform using Apex, Lightning Web Components (LWC), and Visualforce
• Build and maintain cross-platform applications and automations using JavaScript, DataWeave, and Python
• Lead project delivery including custom development, integrations, data migration and user acceptance testing
• Implement and manage integrations between internal revenue business systems and external applications using REST APIs
• Utilize declarative tools (Flows, Approval Processes, Validation Rules, Page Layouts) to configure and enhance platform functionality
• Drive medium-sized technically or organizationally complex projects across multiple domains
• Collaborate with business systems analysts and stakeholders to translate business requirements into technical specifications
• Enforce coding standards and best practices through code reviews and structured deployment processes
• Troubleshoot, debug, and resolve complex technical issues and performance flaws to ensure high availability
• Participate in on-call roster and respond to reliability, security, and performance incidents

Senior Salesforce Developer

• Provide architectural oversight and strategic guidance for all Revenue business systems projects, ensuring solutions alignment with long-term business objectives.
• Design comprehensive solutions by translating complex business needs into detailed user stories, functional specifications, and clear acceptance criteria.
• Maintain a deep understanding of technical architecture across multiple domains and coding implications to effectively guide development teams and inform design decisions.
• Hands-on develop, test and deploy end-to-end solutions on the Salesforce platform, primarily leveraging Apex, Lightning Web Components (LWC), and Visualforce.
• Implement and manage seamless integrations between internal business systems and external applications using REST APIs.
• Lead the technical delivery of custom development, integrations, and data migration.
• Serve as the primary liaison between business stakeholders and technical teams, facilitating discussions to gather, define, and refine project requirements.
• Lead requirement-gathering sessions and workshops to elicit detailed needs and propose viable, scalable solutions on the business system platforms.
• Uphold highest development standards by actively participating in peer code reviews and ensuring strict adherence to established best practices and deployment protocols.
• Troubleshoot, debug, and resolve complex technical issues and performance flaws to ensure high availability and efficiency of revenue systems.

Team Lead – Senior Salesforce Developer

Affiliate Manager

• Partner with leaders in the Tax domain and collaborate with Payroll, Time, and Contractors + Employer of Record teams
• Lead operational mechanisms and activities (roadmaps, OKRs, planning, business reviews)
• Launch and manage cross-functional programs (e.g., End of Year Tax Intake)
• Drive critical initiatives that may be at risk or stalled, bringing urgency and clarity
• Transform ambiguous, high-potential opportunities into concrete strategies and execution plans
• Pilot AI-augmented approaches to program management and ops
• Partner on Gusto-wide efforts and other high-impact technical programs
• Serve as a strategic program manager and chief-of-staff style partner for senior leaders in the Pay Group

IO Partner – Small Business Platform

Machine Learning Engineer

• Work closely with applied science practitioners and engineers to rapidly build, deploy, and iterate high-quality ML infrastructure solutions at scale, ensuring reliability and effectiveness.
• Drive core components of the ML Platform technical roadmap to design and build MLOps solutions with automated pipelines and standardized processes to build, deploy, run, monitor, debug, and retrain ML models.
• Develop, maintain, and enhance frameworks for machine learning model development and deployment.
• Collaborate with ML model builders and application owners to determine business requirements and SLAs for API-enabled services.
• Develop, maintain, and enhance infrastructure supporting machine learning services.
• Support the development of new patterns for deployment of machine learning models with CI/CD pipelines and automated testing.

Staff Machine Learning Engineer, Platform

People Operations

• Leverage data management and analytics to shape Gusto’s People strategy and operations across the talent lifecycle
• Deliver compelling data storytelling, intuitive self-service tools, and rigorous analysis to drive improvements in talent development, employee experience, recruiting, employee listening, and organizational health
• Partner with Analytics Engineering, People Leadership, business leaders, and cross-functional teams to shape People data ecosystem
• Deliver trusted insights, design and track metrics that deepen understanding of Gustie performance and experience, and ensure data directly informs decisions across the employee lifecycle
• Own Talent Development measurement ecosystem—from designing program measurement strategies to collaborating with Analytics Engineering on scalable data architecture
• Apply SQL, Tableau, Python, and statistical methods to measure program impact and uncover drivers of attraction, development, engagement, and retention
• Lead Analytical Domains: own complex measurement, reporting, and analytical challenges; define analytical roadmap
• Influence & Strategic Partnership: surface critical decisions addressable with data and align priorities with senior leaders
• Data Thought Partnership: translate program opportunities into data-driven solutions across HR domains
• Problem Structuring: define ambiguous business problems and identify data, methods, and metrics to deliver clarity
• Analysis & Insights: analyze complex people data to uncover meaningful insights
• Reporting & Visualization: design, build, and maintain dashboards and reporting solutions
• Data Modeling: partner with Analytics Engineering to design and implement scalable data models
• Stakeholder Partnership: collaborate closely with People Leadership, HRBPs, and cross-functional partners
• Enablement: strengthen data fluency across the People Team by coaching stakeholders
• Explore and pilot new approaches, including advanced analytics and AI, to unlock value

Data Partner, People Insights

Product Manager

• Lead development of Gusto’s PEO Benefits strategy and roadmap, including defining the Benefits offering and product requirements
• Work with our carrier partner to define and execute a pilot
• Launch the Gusto PEO Benefits offering and craft a strategy to scale from 1 to 1,000+ customers
• Partner across Product, Engineering, Compliance, Legal, CX, Marketing, Sales, and Operations to uncover insights, validate assumptions, and build alignment
• Accelerate execution by unblocking the team, making trade offs, and ensuring delivery of a high-quality Benefits offering

Senior Product Manager, Benefits

Full-stack Engineer

• Gusto moves hundreds of billions of dollars per year. The Senior Staff Engineer will be part of the Payments team and will be responsible for a.) building new payments and money movement capabilities across US and International, and b.) (re)architecting our payments platform to scale for the future. As a Gusto Software Engineer at this level, you’ll be guiding projects end-to-end by influencing initial feature specs, understanding how to take existing systems closer to desired end states, executing on projects, and maintaining code that powers core experiences. You’ll collaborate with a talented cross-functional team of Product, Accounting, and Data partners, focusing on building payments experiences that delight customers. If you’re interested in building elegant software with far-reaching effects in our modern economy, join us!
• This role is part of the Payments team at Gusto that ensures that our 400,000+ small and medium businesses and millions of their employees are getting paid on time, every time. You will be developing our payments systems that are foundational to the payment solutions offered by Gusto.
• Function as a Technical Lead, supporting and unblocking engineers while contributing to long-term technical direction
• Design and build money movement platforms, adding new payment methods and payment rails including international payments
• Collaborate on complex and ambiguous problems with partnerships from Engineering, Product Management, Design, Data Science, Compliance, Operations, and other cross-functional teams
• Improve the productivity and happiness of our teams with the services, tools, and APIs you build
• Help scale one of the largest Ruby on Rails and TypeScript/React applications in the world; Write maintainable, well-documented, and test-driven code
• Engage in a highly supportive environment working with others to drive productivity and innovation
• Continuously stay up-to-date with advancements in AI and Machine Learning and Cryptocurrency, applying this knowledge to our projects

Senior Staff Software Engineer, Money Movement

Infrastructure Engineer

• As a member of the IT Infrastructure Engineering team, you will be part of the broader IT Experience org (IT Operations + IT Engineering). Your primary responsibility will be the development of AI solutions and ongoing AI strategy at Gusto. Also, you will be a contributing member of the team responsible for managing our organization's infrastructure systems and networks to ensure they are functioning and meet Gusto’s needs.
• The IT Infrastructure Team at Gusto is responsible for managing and maintaining the company's infrastructure systems and networks. They develop and deploy AI-driven solutions, manage hardware and software, ensure system security, and support IT operations. The team also works with cloud and virtualization technologies, focuses on automation, and upholds high standards for disaster recovery and security. Additionally, they lead training sessions, collaborate cross-functionally, and continuously improve infrastructure tools and processes.
• Collaborate with internal teams to understand workflows, identify pain points, and design AI-driven solutions that enhance productivity.
• Develop, deploy, and continuously improve custom AI tools tailored to internal needs, incorporating user feedback for iterative enhancements.
• Partner cross-functionally with Engineers, Designers, and other AI team members to integrate AI into existing systems and processes.
• Lead training sessions and workshops to empower teams in effectively adopting AI solutions.
• Contribute to AI strategy and roadmap planning, ensuring alignment with organizational goals and maximum impact.
• Stay current on AI trends and emerging technologies to incorporate innovative solutions into internal tools.
• Manage and maintain IT infrastructure, including installation, configuration, and troubleshooting of hardware, software, and networks.
• Ensure system security, performance monitoring, and data backup/recovery to maintain efficient and secure operations.
• Support IT operations through ticket management, account setup, documentation, and participation in rotational on-call duties.
• Work with technologies like VMWare, Microsoft, Veeam, Nutanix, and SRW to support infrastructure and OKR-related projects.

A.I Infrastructure Engineer 

User Researcher

• Shape strategic research direction. Build and evolve a research roadmap aligned to business priorities, spanning multiple product areas and levels of ambiguity. Partner closely with Product, Data, Design, and Engineering leadership.
• Lead high-impact research. Independently conduct complex generative and evaluative studies that uncover unmet needs, inform product vision, and de-risk decisions at scale.
• Influence cross-org priorities. Identify patterns and connections across teams. Ensure insights cascade and inform decisions across teams and timelines. Partner with senior leadership to identify and evangelize the highest-impact opportunities for our customers.
• Advance AI-native practices. Explore and embed AI tools into research workflows to enhance speed, quality, and impact. Help define what it means to work AI-natively across research internally and for our customers.
• Mentor and multiply. Coach peers and cross-functional teammates. Develop tools, templates, and guidance that scale research craft and impact.
• Drive research rigor and storytelling. Craft compelling, actionable narratives tailored to executive and stakeholder audiences. Bring clarity and urgency to insights.
• Elevate customer understanding. Collaborate with cross-functional partners to connect insights and build a holistic view of the customer journey.
• Advance research influence and scale. Partner with Design Ops to evolve scalable methods, workflows, and systems. Pilot and champion new tools and practices.