Engineering Manager, Knowledge Graph & AI-Driven Systems

Yext Inc.; City of Niagara Falls (NY); Presencial; USD 149 000 - 304 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Life insurance

Sick time

401(k)

Retirement plan

Resumo da oferta

Yext is seeking an Engineering Manager for the Knowledge Graph team in New York City. You will lead a group of software engineers, shaping architecture and workflows while enabling teams to connect customer data into a reliable source of truth.

You will work in an agile environment with two-week sprints, partner with Product and Engineering leaders, and ensure delivery cadence. The role emphasizes AI-assisted development, high-quality output, and cross-team collaboration.

Qualificações

• A BA/BS in Computer Science or related field, or equivalent college-level education.
• 5+ years of professional software engineering experience.
• 1+ years of team or technical leadership.
• Experience coaching engineers, providing direct and constructive feedback, and supporting their professional development.
• Experience translating product or business priorities into technical plans and driving a team toward successful delivery.
• The ability to stay technically engaged enough to guide design decisions, evaluate tradeoffs, and help engineers work through difficult problems.

Responsabilidades

• Lead and develop a team of software engineers, providing regular coaching, actionable feedback, and support for their career growth
• Partner with Product and Engineering leadership to translate product priorities and longer-term goals into clear, achievable plans for the team
• Own the team's execution and delivery, establishing priorities, breaking larger initiatives into manageable work, and maintaining a sustainable development cadence
• Create clarity for the team by resolving ambiguity, removing blockers, managing competing priorities, and protecting engineers from unnecessary organizational churn and distractions
• Maintain a strong technical understanding of the team's systems and provide guidance on architecture, design, implementation, and technical tradeoffs
• Foster a high bar for engineering quality through thoughtful design discussions, code reviews, testing, operational readiness, and continuous improvement
• Ensure the team is prepared to respond effectively to production incidents, providing leadership and coordination during incidents and driving meaningful follow-up afterward
• Build an environment where engineers take ownership, collaborate effectively, learn from one another, and feel comfortable raising concerns and challenging assumptions
• Collaborate across Product Engineering and with partners throughout the company to coordinate dependencies, resolve issues, and deliver shared initiatives
• Recruit and hire talented engineers, actively participate in the interview process, and build an effective onboarding experience for new team members
• Identify opportunities to improve the team's systems, processes, and ways of working, and help turn those opportunities into meaningful change
• Model thoughtful use of AI-assisted development tools and help engineers incorporate AI effectively throughout design, research, implementation, testing, debugging, and code review
• Maintain a high-quality bar for AI-assisted work by ensuring engineers understand and validate generated output and remain accountable for its correctness, security, maintainability, and alignment with engineering standards
• Encourage experimentation with new AI capabilities and workflows, share successful approaches across the team, and help identify opportunities where AI can meaningfully improve engineering effectiveness

Conhecimentos

Team leadership

Coaching engineers

Technical planning

Architectural design

Java

Go

C++

Python

AI tools

Communication

Formação académica

BA/BS in Computer Science or related field

Descrição da oferta de emprego

Yext is seeking an Engineering Manager for the Knowledge Graph team in New York City. You will lead a group of software engineers, shaping architecture and workflows while enabling teams to connect customer data into a reliable source of truth.

You will work in an agile environment with two-week sprints, partner with Product and Engineering leaders, and ensure delivery cadence. The role emphasizes AI-assisted development, high-quality output, and cross-team collaboration.