# Head of Technology

**Company:** [Verneek](https://hotfix.jobs/companies/verneek)
**Location:** New York, NY
**Role:** Engineering Management
**Experience:** 8+ years
**Skills:** ai/ml engineering, Full-Stack Development, LLMs, Computer Vision, NLP, PyTorch, TensorFlow, AWS, GCP, Azure, MLOps, Microservices
**Posted:** 2026-07-31

> Lead the strategy, architecture, and hands-on implementation of an end-to-end AI-native full-stack platform as a senior executive. Requires deep expertise in AI/ML and full-stack development, team leadership, strategic vision, and startup experience to bridge technical and business needs.

## Job Description

## Responsibilities
- Design and implement end-to-end AI-Native platform and solution suite, covering backend infrastructure, data ingestion, model training and inference, front-end interfaces and applications.
- Architect scalable, robust, secure, and maintainable full-stack systems for deploying and running AI models in production at scale.
- Evaluate and select appropriate AI frameworks (e.g., PyTorch, TensorFlow), cloud platforms (e.g., AWS, Azure), and other tools/vendors.
- Enforce coding standards, technical architecture patterns (e.g., microservices), and quality control mechanisms.
- Define and execute the technology strategy, setting vision, roadmap, and priorities for how full-stack technologies create business value, improve products, and drive efficiency.
- Collaborate with senior leadership and product teams to translate business needs into technical specifications and viable AI solutions.
- Oversee project planning, resource allocation, and budget management to ensure on-time, high-quality delivery.
- Recruit, develop, and manage high-performing teams of Software/AI/ML engineers, full-stack developers, MLOps specialists, and others.
- Foster a culture of innovation, experimentation, continuous learning, and adaptability to emerging technologies.

## Requirements
- Advanced hands-on expertise in both AI/ML engineering (including LLMs, computer vision, NLP) and modern full-stack development as an individual contributor.
- Proficiency with cloud environments (AWS, GCP, Azure) and scaling MLOps for model training, deployment, inference, and monitoring.
- Proven track record of leading and managing engineering or AI/ML teams.
- Ability to develop a long-term technical vision aligned with product and business strategy.
- Excellent communication skills for conveying complex technical concepts to technical and non-technical audiences, including executives and partners.
- Prior experience building technologies at a deeply technical startup.
- Bachelor’s Degree in CS, CE, AI, or other technical fields.
- Work authorization in the USA at the time of hire.

## Nice-to-Haves
- Experience with specific AI frameworks like PyTorch or TensorFlow.
- Familiarity with microservices architecture patterns.

## Compensation and Benefits
- Stellar medical, dental, vision, disability, and life insurance.
- Daily private Chef lunch, curated to personal diets.
- Transportation Benefits.
- 401K matching contributions.
- Flexible PTO.
- Visa/Green Card Sponsorship.
- Career growth support through sponsoring learning opportunities and mentorship.
- Annual Salary Range: [tbd]

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