VP, Engineering

View full description

Requirements:

• Demonstrated scaling a startup engineering organization to 50+ employees
• Have delivered products involving AI at scale involving a breadth of technologies spanning frontend, backend, and machine learning / AI
• Strong at operations, team building, and delivery
• Possess strong technical depth with cloud platforms and services, such as AWS, Azure, or GCP
• Exceptional communication and interpersonal skills, with the ability to articulate technical concepts to both technical and non-technical audiences
• A passion for cybersecurity and generative AI technologies, with a desire to push the envelope in both respects

Responsibilities:

• Lead product engineering including frontend, backend, and production AI capabilities
• Develop engineering roadmaps and operations plans
• Grow a team of software engineers from and data scientists, ranging from generalists to specialists.
• Manage development and operations for a fast-growing enterprise product, supporting a wide range of deployment environments
• Collaborate with cross-functional teams, including product management, design, and sales, to define and deliver innovative solutions that meet market needs and align with company strategy
• Foster a culture of innovation, collaboration, and continuous improvement within the engineering team, encouraging knowledge sharing and mentorship