Vice President, Engineering

Vice President, Engineering

About the Company

Dynamic data science software & consultancy firm

Industry
Computer Software

Type
Privately Held, VC-backed

Founded
2013

Employees
51-200

Funding
$51-$75 million

Categories

• Analytics
• Big Data
• Cloud Data Services
• Consulting
• Consumer Research
• Enterprise Software
• GovTech
• Machine Learning
• Predictive Analytics
• SaaS
• Information Technology & Services
• Technology
• Politics
• Services
• Data Integration
• Software

Specialties

• predictive analytics
• database integration
• strategy consulting
• saas
• data science
• data analytics
• big data
• data unification
• data science platform
• customer analytics
• churn modeling
• attribution modeling
• consumer analytics
• media optimization
• identity resolution
• social science
• data enrichment
• and market research

About the Role

The Company is seeking a Vice President, Engineering to spearhead the technical vision, architecture, and execution as the organization expands its platform and launches standalone AI products. The successful candidate will be a key player in setting long-term technical direction, ensuring the cohesion between the core data platform and the AI product portfolio, and guiding teams toward an AI-centric development environment. This role demands a hands-on leader with practical experience in AI systems, a proven track record in leading engineering organizations, and the ability to make and own architectural decisions for complex, data-driven systems. The VP will also be responsible for leading a cross-functional team, providing thought leadership, and being the public face of the company's technology and data science. Applicants for the VP, Engineering position at the company should have a minimum of practical, real-world experience with AI systems, significant experience in a hands-on leadership capacity within software, platform, or data engineering, and a demonstrated ability to own and evolve technical roadmaps. The role requires a leader who is comfortable with modern cloud platforms and distributed systems, and who can balance speed, reliability, and maintainability in architecture decisions. The ideal candidate will be a clear and direct communicator, with a proven ability to hire, develop, and manage high-performing technical teams. A passion for shaping and building AI products, a proactive approach to technical strategy, and the ability to operate in ambiguity are essential.

Hiring Manager Title
CEO

Functions

• Engineering