VP of Engineering

Enterprise Engineering Inc. (EEI); New York (NY); On-site; USD 250,000 - 450,000; Full time

Job summary

Enterprise Engineering Inc. (EEI) in New York City is seeking a hands-on Vice President of Engineering to shape our technology strategy and execution.

You will define the long-term engineering vision, mentor a growing team, and oversee secure, scalable systems for a data-driven fintech landscape. Based in our NYC office, this role requires five days in the office, collaboration across Product, Sales, Marketing, and Customer Success, and leadership in AI adoption while maintaining rigorous

Qualifications

• 10+ years of software engineering experience.
• 5+ years in engineering leadership roles.
• Proven track record scaling teams and systems in startup or high-growth environments.
• Expertise in cloud architecture, data systems, and SDLC practices.
• Experience integrating AI tools responsibly with security and governance.
• Strong communication and ability to navigate ambiguity.

Responsibilities

• Define and execute the long-term engineering vision and roadmap.
• Lead, mentor, and grow a high-performing engineering organization.
• Oversee end-to-end architecture, security, performance, and scalability.
• Drive adoption of AI-enabled tools and workflows across engineering.
• Collaborate with Product, Sales, Marketing, and Customer Success.
• Manage budgets, tooling, and infrastructure investments.

Skills

Engineering leadership

Software architecture

Cloud infrastructure

AI strategy & implementation

Security & privacy

Cross-functional collaboration

Job description

Vice President of Engineering

Location: New York City Office

Full Time Opportunity

5 days a week in the office

Role Overview

We are seeking a hands-on Vice President of Engineering to lead our technology strategy and execution. This role is ideal for a senior engineering leader with a proven track record of building secure, scalable systems in high-growth or startup environments.

As a key member of the leadership team, you will define our long-term engineering vision, guide architectural decisions, mentor a growing team, and lead the responsible adoption of AI across the engineering organization. You will collaborate cross-functionally to deliver enterprise-grade, data-driven solutions for the evolving open finance landscape.

Responsibilities

• Leadership & Strategy
• Set and drive the long-term technical vision and engineering roadmap, including a practical AI strategy that supports the Company's business and product objectives
• Lead, mentor, and grow a high-performing engineering team
• Foster a collaborative, innovative engineering culture aligned with company values
• Technical Oversight
• Own end-to-end architecture and execution for all technical initiatives
• Ensure adherence to engineering best practices, including code quality, security, performance, and scalability
• Lead the adoption of AI-enabled engineering tools and workflows to accelerate software development, testing, documentation, troubleshooting, and delivery while maintaining appropriate security, privacy, quality, and governance controls
• Cross-Functional Collaboration
• Partner with Product, Sales, Marketing, and Customer Success to ensure alignment and delivery
• Communicate technical concepts clearly to executive and non-technical stakeholders
• Operational Excellence
• Oversee project timelines, delivery milestones, and engineering resource allocation
• Implement and uphold rigorous QA, testing, deployment, and operational standards, using AI-enabled automation where it can improve engineering productivity, software quality, and delivery speed
• Manage engineering budgets, tools, and infrastructure investments
• Talent & Team Building
• Recruit, develop, and retain top engineering talent
• Build an inclusive and results-oriented engineering culture
• Mentor engineers at all levels and lead by example

Requirements

• 10+ years of software engineering experience, with 5+ years in engineering leadership roles
• Proven success scaling engineering teams and systems in startup or high-growth environments
• Expertise in software architecture, cloud infrastructure, and data systems
• Familiarity with modern SDLC practices, including CI/CD, automated testing, code review, Agile methodologies, and AI-assisted software development
• Demonstrated ability to evaluate, implement, and scale AI tools responsibly across engineering teams, with appropriate attention to security, data privacy, intellectual property, quality, and governance
• Experience with compliance, data privacy, or fintech regulations is a strong plus
• Strong strategic thinking, decision-making, and communication skills
• Comfortable navigating ambiguity and leading in a dynamic, fast-paced environment
• This position is based in New York City office and requires in-office presence five days per week.
• Collaborate in-person with teams at our New York City office to drive initiatives