Staff Software Engineer, Marketing Technology

About the Role

As a Staff Software Engineer on the Marketing Technology team, you will drive key architectural improvements to Gusto's MarTech stack as we transition to an AI-native company. This is a frontend-focused, full stack role where you will design and build foundational web platform capabilities that connect our customer data with our communication channels within your product area

Your work will focus on transforming our Headless CMS from a content repository into an AI-driven personalization engine, architecting the high-performance frontend systems that can reason about customer data, predict user intent, and serve the most relevant experience. You will design how these platforms intelligently integrate with our central CDP and multi-channel Orchestration engine, turning backend insights into adaptive, personalized user journeys.

You’ll operate at the intersection of marketing systems, AI capabilities, and platform evolution. If you are passionate about building highly reliable, frontend-focused systems that can reason, predict, and personalize to unlock Gusto’s next phase of sustainable growth, we would love to have you join our team.

About the Team

The Marketing Technology (MarTech) team is building the next generation of infrastructure that powers customer acquisition and engagement funnels.

Our mission is to move beyond deterministic user journeys and build intelligent growth systems. We’re building a world-class technology platform designed to understand customer intent, tailor experiences in real-time, and continuously improve through data and feedback. This means shifting from static tools to an adaptive platform that ensures a seamless, personalized, and performant experience for prospects and customers.

We prioritize quality, observability, and uptime because these intelligent systems are fundamental to Gusto's growth and brand. We partner closely with Marketing, Sales, Growth R&D, and Operations to build and connect the AI-powered tools they use every day.

Here’s what you’ll do day-to-day:

• Architect and evolve our customer-facing web platforms not just for performance and scale, but for AI-driven personalization and intelligent experimentation.
• Build and maintain integrations with our MarTech stack (Segment, Braze, etc.) to create feedback loops for AI models and enable model-driven actions.
• Implement and optimize caching strategies across our delivery stack (CDN, edge).
• Write high-quality, well-tested frontend code leveraging AI-powered tools and techniques to accelerate development, improve test generation, and ensure code reliability.
• Support, mentor, and up-level fellow engineers on the team, helping to establish best practices for AI-native design patterns.
• Partner cross-functionally with Marketing and Sales to translate business needs into technical solutions.
• Contribute to the technical roadmap for your area of the MarTech platform, ensuring your work aligns with Gusto's transition to an AI-native company and team goals

Here’s what we're looking for:

• 8+ years of experience building web systems with modern frontend technologies, including experience with headless CMS architectures
• Experience applying AI tools to accelerate frontend development, improve code quality, and build intelligent user experiences. Familiar with AI-driven personalization patterns and willing to experiment with AI techniques.
• Experience building modern frontend applications with technologies such as React, Typescript, and Next.js.
• Experience with web performance, CDNs, and advanced caching strategies.
• Experience integrating with MarTech systems (e.g., CDPs, CRMs, orchestration tools).
• A systems thinker with excellent written communication and collaboration skills.
• Ability to act as a thought partner for both technical (Engineering, AI/Data) and business (Marketing, Sales) teams.
• A balance of pragmatic execution for immediate business needs and long-term architectural thinking to build a scalable, intelligent platform.
• Nice to have:
  • Hands-on experience designing or implementing product experiences incorporating ML/AI, such as AI-driven personalization engines, recommendation systems, or predictive intent models.
  • Experience with generative AI or LLMs, particularly in applications related to content personalization (for a CMS) or building intelligent customer-facing agents.
  • Familiarity with building the frontend components of data feedback loops used for retraining or fine-tuning AI models.