Software Engineer

Yext•Washington, DC

12d•$121,500 - $263,000•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 Watson, which owns and develops the systems that power Yext Search and Yext Chat. The team builds the indexing, retrieval, and serving technology that enables brands to deliver fast, relevant answers across their websites and digital experiences. Yext Search handles more than 50 million requests each month, serving users around the world in over a dozen languages. Watson also brings these search and retrieval capabilities to Yext Chat, helping conversational experiences generate useful answers grounded in trusted customer content. Because Watson’s systems serve real-time, customer-facing experiences at a global scale, engineers on the team work on systems where performance, relevance, and reliability are essential. This gives engineers excellent opportunities to develop experience building scalable search and retrieval systems, solving challenging distributed-systems problems, and applying AI to products used directly by brands and their customers. This role is based in our Rosslyn, VA 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, Go, 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