Vice President Engineering

Role Overview

We are seeking a visionary and highly experienced VP of Engineering. This is a pivotal leadership role where you will be the technical cornerstone of our organization, driving technology strategy, leading multiple engineering teams, and architecting scalable AI-driven solutions.

What You'll Experience

• Technical Leadership That Matters
• Freedom to Innovate
• Culture of Excellence - A growth first approach!
• Human-Centered AI Development

Key Responsibilities

• The Vice President of Engineering will define and execute the technology vision, lead and scale multiple engineering teams, driving architectural decisions for enterprise AI platforms.
• We seek a highly technical leader, expected to dedicate >60% of their time hands-on with code. This person is expected to lead by example by architecting and implementing the solution to the most complex and critical challenges in our projects.
• The role requires mastery of the Python ecosystem, leadership in automation initiatives (CI/CD, infrastructure, testing), and oversight of database architecture.
• Key responsibilities include overseeing Gen AI integration, leading technical evaluation of emerging AI technologies, and driving innovation in AI-powered solutions.
• You will collaborate with founders and executives on product strategy, establish scalable technical processes.
• Recruit top-tier engineering talent and establish scalable hiring processes and technical interview frameworks
• Lead technical due diligence for partnerships, integrations, and potential acquisitions.

Requirements

• 12 -15 years of progressive leadership

  , including 7+ years in senior technical roles.
• Must have a proven track record of scaling engineering teams, experience with production-grade enterprise systems.
• Expertise in Python, scalable web frameworks, microservices, and performance optimization is essential.
• Experience with Advanced cloud infrastructure (AWS/Azure/GCP, professional certifications) and SDLC mastery (agile, DevOps, automated testing, CI/CD).
• Strong database/data engineering background, including large-scale data.
• Hands-on experience with generative AI, LLMs, model deployment, fine-tuning, and production AI systems.
• Computer Science degree or equivalent technical education.

Are you ready to lead engineering excellence and drive team performance within a cutting-edge AI startup? Like to own the technical vision and be the engineering force behind discovery? Are you ready to join the insights revolution?
If yes, do reach out to us by applying to the role

This is where AI meets enterprise reality"