Vice President, Engineering

About the role

The VP of Engineering is a senior leadership role with broad scope across engineering, QA, and data, with deep involvement in infrastructure, and security strategy. Reporting to the Chief Product & Technology Officer, this leader will own the strategy, execution, and organizational health of the full technical organization. This is a transformation role. In alignment with ambitious company goals for growth and sustained execution excellence, we are investing in a step-change in how we build and ship product: We are embedding AI-native workflows into how we build, moving toward small, highly leveraged teams that conceive and ship in tight cycles. The VP of Engineering will own that shift - building the engineering culture, practices, and org design that maximize developer productivity and get great product into users' hands faster. This is a role for a leader who is comfortable operating at a high altitude - setting direction, communicating clearly to executive and board audiences, and making sound investment decisions - while remaining close enough to the work to develop leaders, drive accountability, and earn credibility with the team.

Responsibilities

• [Engineering Execution]
• Set and maintain high standards for delivery velocity, quality, and predictability across all engineering teams.
• Evolve the processes, practices, and accountability systems that enable consistent execution at scale, including CI/CD adoption and a shift-left approach to quality ownership.
• [Technology Strategy and Platform Health]
• Own the 6-24 month technology roadmap: define where we want to be, make the tradeoffs explicit, and work backwards to a credible plan
• Provide architectural vision and oversight across the organization; ensure engineering investments align with long-term business goals
• Partner closely on infrastructure and security strategy, ensuring the long-term sustainability and resilience of our systems
• [AI Products and Development Practices]
• Deeply embed AI-based development practices across engineering to improve team capability and throughput. Help us move swiftly and intentionally to agent-assisted coding as a standard part of how our engineers work.
• [Data Platform and Analytics]
• Provide strategic oversight and direction for the data team - helping the team set the vision for the data platform and capabilities the product and AI agenda require, including analytics that close the loop on product decisions, ML/AI pipeline infrastructure, and data governance practices.
• Partner with business stakeholders to ensure data is a reliable, well-governed foundation for product decisions and operational insight, and also serves functions' analytics and business process needs throughout the enterprise.
• [Team and Org Development]
• Assess, develop, and grow the engineering organization; build the

Benefits

Additional Information

About The Princeton Review The Princeton Review is a leading tutoring, test prep, and college admission services company. Every year, it helps millions of college- and graduate school-bound students achieve their education and career goals through online and in-person courses delivered by a network of more than 4,000 teachers and tutors, online resources, and its more than 150 print and digital books published by Penguin Random House. The company's Tutor.com brand is one of the largest online tutoring services in the U.S. It comprises a community of thousands of tutors who have delivered more than 22 million one-to-one tutoring sessions. The Princeton Review is headquartered in New York, NY. Follow the company on LinkedIn , YouTube and Instagram .

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