Senior Staff Software Engineer - Marketing Technology

About the Role

As a Senior Staff Software Engineer on the Marketing Technology team you will spearhead the architectural evolution of Gusto’s new MarTech stack as we transition to an AI-native company.  This is a frontend leaning architecture role where you will be instrumental in designing and building the foundational web platforms that connect our customer data with our communication channels.

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.

• Be an owner of the long-term technical roadmap for MarTech ensuring it aligns with Gusto’s transition to an AI-native company.

Here’s what we're looking for:

• 12+ years of professional software development experience with experience building web systems

  • Headless CMS experience preferred (we use Contentful)

• Curiosity and ability to operate in an AI-native environment. Integrating intelligence automation and experimentation into how we grow the business.

• 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.

Compensation

Our cash compensation amount for this role is targeted at $225000 - $275000  for San Francisco New York and Seattle $205000- $255000 in Los Angeles $185000 - $235000 in Denver and $200000 - $250000 CAD for Toronto Canada. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.