Vice President, Software Engineering

Convene Hospitality Group•New York, NY

1d•$200,000 - $250,000•Hybrid

About The Position

Convene Hospitality Group (CHG) operates a global portfolio of lifestyle brands focused on creating places and experiences that bring people together. The company designs, develops, and operates hospitality-driven destinations to host gatherings of all kinds, ranging from small corporate meetings to immersive brand activations and beyond. We love bringing people together in person, and that passion for great experiences extends to our employees as well. If you're interested in creating inspiring moments of connection, consider joining our team. We are seeking a VP of Software Engineering in either New York City or London to join Convene Hospitality Group’s Technology organization. The right candidate will own the technical architecture and long-term engineering direction of the products we build internally. This role is hands-on, deeply technical, and focused on ensuring that what we build is well-architected, scalable, maintainable, and cost-effective. You will own the architecture and engineering direction across application and data platforms, driving build vs. buy decisions, setting standards, and mentoring engineers and their managers. You will collaborate with senior leadership to bridge technical execution with business strategy, championing AI and emerging technologies that drive measurable impact, and translating technical investments into business outcomes. This is an ideal role for a senior technologist who still enjoys building, designing, and staying close to the code while also shaping engineering standards, tooling, and decision-making at the organizational level.

Requirements

10+ years of experience designing and building production software systems
Deep experience with modern system architecture (distributed systems, APIs, data platforms, cloud infrastructure)
Mastery of JavaScript, Node.js, React, and frameworks such as Express.js and Next.js
Proven experience designing and operating modern data platforms, including pipeline architecture, data transformation frameworks (dbt), and data warehousing (Snowflake, Redshift) with excellence in data quality, modeling standards, democratization, and governance at scale
Extensive background automating CI/CD pipelines and automating testing, deployment, validation, and rollback
Proven experience evaluating, incorporating, and managing technical vendors
Proven ability to evaluate and estimate engineering effort for large initiatives
Strong background mentoring engineers and influencing technical direction
Hands-on experience using leading-edge technologies to improve developer experience and optimize software development workflows
Experience setting technical standards, guidelines, and architectural patterns across teams
Experience leading and developing engineering managers

Responsibilities

Own Enterprise-Level Technical Strategy & Architecture
Design and evolve architectures for complex, multi-system application and data platforms
Ensure systems are scalable, secure, observable, and maintainable over time
Identify and proactively address architectural risks and productize technical debt into tangible engineering outcomes
Drive build vs. license decision-making
Estimate engineering cost, complexity, and long-term maintenance implications
Evaluate third-party platforms, frameworks, and services with a pragmatic ROI lens
Provide clear technical recommendations to business and executive stakeholders
Maintain deep fluency in the evolving AI and technology landscape to inform decision making
Be hands-on with technology
Actively contribute to codebase, architecture, technical designs, code reviews, and proofs of concept
Set standards for APIs, data models, infrastructure, and deployment patterns
Work closely with cross-functional partners to ensure technical decisions align with company-wide impact and foster trust across functions
Mentor and elevate the engineering organization
Set clear expectations on standards and process, allowing the team to do its best work
Coach engineers across experience levels on system design, tradeoffs, and best practices
Build a strong leadership pipeline, supporting the development of our engineering team
Create and own a team culture that rewards solutions-minded thinking and holds the team accountable to an inclusive, growth-oriented environment
Leverage new technology to increase engineering efficiency and effectiveness
Actively use and champion AI and emerging technologies to accelerate development, improve code and data quality, and elevate system design
Identify opportunities to embed new technologies into internal workflows and platforms
Establish best practices for responsible, effective usage of new technologies across engineering
Shape long-term technical strategy
Establish architectural principles and guardrails that drive operational excellence, empowering teams to make autonomous decisions while maintaining rigorous standards
Unify systems across teams to ensure seamless interoperability, creating a flexible architecture that can adapt to changing market dynamics and business needs
Strategically balance speed of delivery with long-term sustainability
Establish data architecture standards that ensure clean and consistent data across systems