Jobs at Gusto

Own and build Gusto's AI assistant (Gus) and platform experiences end-to-end. Architect and implement scalable AI-native web experiences, create self-serve patterns for teams, collaborate with ML/product on prompts and escalation flows, run experiments, mentor engineers, and help scale a large Ruby on Rails and React application serving millions of users.

Lead the strategy and transformation of Gusto's benefits administration platform, focusing on customer experiences and internal workflows, while collaborating across teams to ensure product success.

The GTM Analytics Engineer will build and maintain data infrastructure, automate processes, and collaborate across teams on data management and insights to support revenue growth.

The role involves developing insights and solutions to enhance productivity for sales teams, driving AI strategies, optimizing processes, and providing operational support while collaborating across teams.

As a Staff Data Scientist at Gusto, you will drive data-informed decision-making, lead projects, collaborate with teams, and mentor others in statistical analysis and experimentation.

Lead product discovery and strategy for Gusto Pro Workflows, focusing on solutions for accountants to enhance payroll and advisory services. Collaborate with Engineering, Design, and Data Science to iteratively develop impactful products that improve user workflows with a focus on AI-driven features.

This role involves leading technical projects across multiple teams, designing scalable systems, collaborating with cross-functional teams, and mentoring engineers, focusing on payroll and tax systems at Gusto.

The Broker-Dealer Operations Manager oversees day-to-day operations, strategic planning, and ensures compliance for Gusto's broker-dealer subsidiary, focusing on financial transactions and process excellence.

As a Partner Account Executive, you will expand Gusto's presence in the accounting sector by recruiting firm partners, leading their 30-day enablement process, and ensuring successful activation to meet sales targets.

As a Staff Applied AI Scientist, you will design and deploy AI systems using LLMs, improve agent performance, and collaborate with engineering to enhance systems for customer impact.

Lead Gusto's social and influencer marketing strategy, oversee team expansion, and drive brand engagement through innovative campaigns and AI integration.

As a Staff Software Engineer, you'll design, build, and test Gusto's core platform services, mentor engineers, and collaborate with various teams to solve complex engineering problems.

Lead strategy, roadmap, and execution for Gusto's Tax Platform systems that calculate, track, pay, reconcile, and file tax liabilities. Modernize legacy systems, improve correctness, traceability, and reliability, partner cross-functionally (Engineering, Compliance, Legal, CX, Data Science), and tie platform work to customer outcomes while driving incremental delivery and clear success metrics.

Lead pricing and monetization strategy across Gusto's product portfolio. Partner with product, finance, marketing, sales, data science, and engineering to design, launch, and monitor pricing, build AI-powered pricing pilots and MVPs, and drive cross-functional go-to-market execution with executive visibility.

Lead UX vision and strategy across Business Money, Consumer Money, Payments, and Risk. Identify cross-team, high-impact opportunities; influence product strategy and OKRs; define AI-first financial UX; do hands-on design and prototyping; mentor designers; and evolve design system patterns to scale cohesive, trustworthy financial experiences.

Architect and scale an internal AI platform and APIs to integrate LLMs into developer workflows. Build autonomous agents, RAG systems, and production-grade tooling to boost developer productivity, ensure reliability, security, and cost-efficiency, and collaborate across product, infrastructure, and security teams.

Design, build, and maintain Gusto's data infrastructure and tooling. Handle large-scale batch and real-time data (clickstream, DB, third-party). Own solutions end-to-end: gather requirements, implement pipelines, monitor production, and troubleshoot with stakeholders and cross-functional teams.

Design and implement AI agents and Model Context Protocols to integrate enterprise systems (NetSuite, Zuora, Jira) with LLMs. Build secure, SOX-compliant automation and orchestration workflows, measure KPIs, and partner with Finance, IT, and Security to operationalize AI across enterprise applications.

Lead design of complex, cross-team AI-enabled service journeys—mapping systems and handoffs, building AI-assisted service design workflows, enabling practitioners, and improving operational sustainability and measurement.

Design, build, and harden asynchronous infrastructure and developer tooling to improve engineer productivity. Work on background jobs and async communication using Sidekiq, Kafka, and Karafka, collaborate with product engineers, and apply AI/LLMs for large-scale code migrations and faster incident resolution.