Software Engineer

Yext•New York, NY

2d•$111,600 - $229,000•Hybrid

About The Position

Yext (NYSE: YEXT) is the enterprise agentic marketing platform. Built on the world's most comprehensive structured data platform for local businesses, Yext gives brands and their partners the visibility intelligence to win every moment of discovery – across AI and traditional search. Yext's API-first architecture connects structured data to APIs, MCP servers, and generative interfaces, so partners and developers can build purpose-built experiences on the same infrastructure powering Yext's own products. Thousands of brands and digital marketing partners in financial services, healthcare, retail, hospitality, and food rely on Yext to manage, measure, and optimize visibility at scale. At Yext, Product Engineering builds and evolves the technology behind our products and services. We’re looking for software engineers who want to solve meaningful technical problems, contribute to systems at scale, and help shape what we build next. We work in an agile environment with two-week sprints and regular demos that keep teams aligned and give engineers clear visibility into the impact of their work. From day one, you’ll contribute directly to the codebase and collaborate with experienced engineers from a wide range of leading universities and technology companies. We are looking for an engineer to join Team Hedwig, which owns and maintains shared systems and architecture across our customer platform. The team builds systems that enable Yext to seamlessly integrate data and experiences across our products. One of the most visible examples is our Action Center, a single destination in the platform that helps customers leverage AI and complete the tasks they need to get the most value from their Yext account. Because Hedwig’s systems sit in front of many Yext products, engineers on the team work on high-traffic, broadly shared infrastructure. This gives engineers excellent opportunities to develop experience building reliable systems with reusable interfaces and to learn how to build systems that can degrade gracefully when unexpected failures occur. This role is based in our New York City office, where in-person collaboration plays an important part in how our teams work, learn, and build relationships. We’re looking for people who genuinely value that environment and are comfortable coming into the office at least three days per week. At the same time, we don’t prescribe specific in-office days and want employees to have the flexibility to handle personal needs without disrupting their work or team collaboration.

Requirements

A BA/BS in Computer Science or a related field or equivalent college-level education
1+ years of professional software engineering experience
A strong foundation in data structures, algorithms, and software design
Fluency with Java, C++, Python, or a similar programming language (we code primarily in Java and Go)
Openness to new technologies, new ways of working, and creative solutions
Comfort working in a fast-paced environment
The ability to evaluate technical solutions critically, including code and recommendations produced by AI tools
Experience using—or a demonstrated interest in learning—AI-assisted development tools as part of a responsible engineering workflow
Sound judgment regarding data privacy, intellectual property, security, and the appropriate use of confidential information when working with AI tools

Responsibilities

Participate in the full software development lifecycle, from design and implementation through testing, deployment, and ongoing operation
Contribute to the design, implementation, and deployment of highly scalable and reliable systems
Develop storage systems, libraries, and frameworks
Proactively contribute ideas for new features and identify opportunities to improve our products, systems, and engineering practices
Collaborate effectively with colleagues across engineering and with partners throughout the company
Write clean, tested, and well-documented code
Use AI-assisted development tools thoughtfully to accelerate engineering work, explore solutions, improve code quality, and reduce repetitive tasks
Critically evaluate, test, and validate AI-generated output rather than treating it as inherently correct
Maintain ownership of all work produced with AI assistance, including its correctness, security, maintainability, and alignment with our engineering standards