Head of Technology

Verneek

$180K — $220K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of hands-on technical expertise in AI/ML engineering and full-stack development.
  • Proficiency with major cloud platforms like AWS, GCP, or Azure.
  • Demonstrated leadership experience managing AI/ML and engineering teams.
  • Ability to strategically align technical vision with business objectives.
  • Excellent communication skills for diverse audiences, including executives and partners.
  • Prior experience in a technical startup environment.

Responsibilities

  • Design and implement Verneek's end-to-end AI-native platform.
  • Ensure development of scalable and maintainable full-stack systems.
  • Evaluate and recommend appropriate AI frameworks and cloud technologies.
  • Establish coding standards and quality control mechanisms.
  • Define and execute the overall technology strategy for the organization.
  • Collaborate with leadership to align technical developments with business needs.
  • Build, mentor, and lead high-performing teams in Software, AI/ML, and MLOps.

Benefits

  • Comprehensive medical, dental, and vision insurance plans.
  • Daily catered lunches tailored to personal dietary preferences.
  • Transportation benefits to support commuting needs.
  • 401K plan with matching contributions.
  • Flexible paid time off policy.
  • Visa and green card sponsorship for qualified candidates.
  • Career development support through learning opportunities and mentorship.
Full Job Description
Our founders are looking for a highly ambitious and highly technical Head of Technology to lead the strategy, development, and integration of AI systems across all layers of the AI stack. This senior executive role requires deep technical expertise in both AI/ML and full-stack development, combined with strong leadership, strategic vision, and business acumen. They are familiar with startup environments and bridge the gap between technical teams and business stakeholders to drive innovation and deliver robust, scalable, and ethical AI-powered products. RESPONSIBILITIES • Hands-on Technical Implementation, Architecting, and Oversight - Design and implement end-to-end systems: Guide and implement the AI-Native platform of Verneek, as well as its solution suite, fullstack: from backend infrastructure to data ingestion, model training and inference, to front-end interfaces and applications. - Architect scalable solutions: Ensure the development of robust, scalable, secure, and maintainable full-stack systems that can deploy and run AI models in production at scale. - Evaluate and select technology: Assess and recommend the use of appropriate AI frameworks (e.g., PyTorch, TensorFlow), cloud platforms (e.g., AWS, Azure), and other tools and vendors. - Enforce best practices: Drive and enforce coding standards, technical architecture patterns (e.g., microservices), and quality control mechanisms. • Strategic leadership and overall vision - Define and execute the technology strategy: Set the vision, roadmap, and strategic priorities for how Verneek's fullstack technologies will create business value, improve products, and drive operational efficiency. - Align with business objectives: Collaborate with senior leadership and product teams to translate business needs into technical specifications and viable AI solutions. • Team leadership and management - Manage projects: Oversee project planning, resource allocation, and budget management to ensure successful, on-time, and high-quality delivery. - Build and mentor teams: Recruit, develop, and manage high-performing teams of Software/AI/ML engineers, full-stack developers, and MLOps specialists, and beyond. - Foster a culture of innovation while delivering quickly: Encourage experimentation, continuous learning, and adaptability to emerging technologies and trends. Requirements • Advanced hands-on technical expertise: Demonstrated hands-on expertise in both AI/ML engineering (including LLMs, computer vision, NLP, etc.) and modern full-stack development as an individual contributor. • Experience with cloud and MLOps: Proficiency with cloud environments (AWS, GCP, Azure) and scaling MLOps for model training, deployment, inference, and monitoring. • Leadership experience: Proven track record of leading and managing engineering or AI/ML teams. • Strategic thinking: Ability to develop a long-term technical vision and align it with overall product and business strategy. • Excellent internal and external communication: The ability to communicate complex technical concepts to both technical and non-technical audiences, including executive leadership and Verneek partners. • Startup Experience:. Prior track record of having helped built series of technologies at a deeply technical startup. MINIMUM QUALIFICATIONS • Bachelor's Degree in CS/CE/AI other technical fields • Work authorization in the USA at the time of hire 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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