Senior Software Engineer

Yext•Washington, DC

10d•$148,500 - $303,500•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. For more information, visit yext.com. At Yext, Product Engineering builds and evolves the technology behind our products and services. We’re looking for senior software engineers who want to solve challenging technical problems, lead the development of 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. As a senior engineer, you’ll remain deeply involved in designing and building software while providing technical leadership to the engineers around you. You’ll partner closely with Product and Engineering leaders to turn broader priorities into sound technical plans, guide projects through delivery, and help less-experienced engineers continue to grow. We are looking for a senior software engineer to join Team Recon, which owns the customer-facing intelligence layer of our Competitive Intelligence product area. Recon builds the experiences that transform our competitive intelligence datasets into meaningful insights for customers. This includes analysis, visualizations, user interfaces, and agentic workflows. In short, the team builds the “brains” on top of the data pool and owns the surfaces through which customers explore, understand, and act on competitive intelligence. Engineers on Recon work across the product stack and solve open-ended problems at the intersection of data, AI, and user experience, turning complex information into clear, compelling, and useful products. 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
7+ years of professional software engineering experience
A track record of leading significant technical projects and delivering complex production systems
Experience providing technical leadership, mentoring engineers, and supporting the growth of less-experienced team members
Experience supervising or managing software engineers, or demonstrated readiness to take on direct-report responsibilities
Deep technical judgment and a strong foundation in software architecture, design, data structures, and algorithms
Experience designing software systems, evaluating competing approaches, and communicating technical decisions clearly to other engineers
The ability to remain deeply hands-on while also guiding the technical work of others
Experience diagnosing difficult production problems and leading technical incident response
Strong communication and collaboration skills, including experience working across engineering teams and with Product or other business partners
Fluency with Java, Go, C++, Python, or a similar programming language (we code primarily in Java and Go)
Experience recruiting, interviewing, or evaluating software engineers
Experience using AI-assisted development tools and the ability to critically evaluate their output 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
Openness to new technologies, new ways of working, and creative solutions
Comfort working in a fast-paced environment

Responsibilities

Serve as a technical leader for the team while continuing to contribute directly to the design, implementation, and operation of production software
Own complex development efforts from problem definition and technical design through implementation, testing, deployment, and ongoing operation
Design sound technical solutions, write and review technical designs, and guide architectural and implementation decisions within the team’s systems
Partner with Product and Engineering leadership to translate product priorities into technical plans, identify dependencies and risks, and help determine how the team should approach the work
Break complex technical initiatives into clear, manageable pieces and help guide engineers through successful delivery
Solve difficult technical problems independently and provide guidance when other engineers encounter challenges
Foster a high bar for engineering quality through thoughtful design discussions, code reviews, testing, operational readiness, and continuous improvement
Mentor and share knowledge with other engineers, helping less-experienced teammates strengthen their technical skills and judgment
Lead production incident response and follow-up, helping the team diagnose complex problems, restore service, and make improvements that prevent recurrence
Collaborate with engineers and partners across teams to solve technical problems and coordinate work that spans multiple systems or product areas
Proactively identify opportunities to improve our products, architecture, systems, and engineering practices, and help drive those improvements to completion
Participate actively in recruiting and interviewing, helping us identify and hire strong engineers and maintain a high technical bar
Use AI-assisted development tools thoughtfully throughout design, research, implementation, testing, debugging, and code review
Critically evaluate and validate AI-generated output, maintaining ownership of its correctness, security, scalability, maintainability, and alignment with engineering standards
Model effective AI-enabled engineering practices, experiment with new capabilities and workflows, and share successful approaches with other engineers