VP of Technology, Virtual Expert Platform (VEP)

About the Role

Key Responsibilities

• Define and champion the long-term technical vision for the VEP, aligning with overall business objectives.
• Lead the design and implementation of a scalable, reliable, and secure platform architecture, anticipating future needs and increasing speed and ease of onboarding.
• Lead with an AI-first approach, defining AI strategy and delivering AI-native outcomes across experiences and capabilities.
• Foster a culture of innovation by proactively identifying and developing new capabilities to enhance user and expert experience.
• Build, inspire, and manage a high-performing engineering team, fostering a collaborative and growth-oriented environment.
• Partner seamlessly with product, design, marketing, and operations teams to ensure alignment and successful delivery.
• Ensure platform stability, performance, and security through robust monitoring and incident response.
• Define the platform's data strategy to enable data-driven decisions and continuous improvement.
• Evaluate and select third-party solutions, establishing clear criteria and metrics for build vs. buy decisions.
• Develop prototypes to quickly iterate and identify optimal customer experiences.

Requirements

• Deep AI expertise in building and scaling AI-native applications and models.
• Thought leadership in platform development, architecture, and scaling.
• Experience leading high-performing engineering teams.
• Deep understanding of cloud computing, microservices, and API design.
• Experience with real-time communication technologies such as video conferencing, chat, and messaging.
• Knowledge of data management, analytics, and reporting.
• Experience with user authentication, authorization, and security best practices.
• Strong communication, collaboration, and influencing skills.
• Experience with Agile methodologies.
• BS in Computer Science or related field (or equivalent experience).
• 15+ years of software product development experience, with 3+ years in a senior leadership role.
• Deep understanding of user experience (UX) and user interface (UI) principles.
• Focus on building intuitive and engaging interfaces for both customers and experts.
• Commitment to accessibility and inclusivity.
• Knowledge of AI/ML applications in areas like matching users with experts, content moderation, or personalized recommendations.
• Understanding of responsible AI principles.

Nice to Have

• Domain experience in Customer Success, Sales, and Services.

Qualifications

• Bachelor's degree in Computer Science or related field.

Benefits & Perks

• Competitive compensation package with strong pay-for-performance rewards.
• Eligibility for cash bonus, equity rewards, and benefits in accordance with company plans and programs.
• Pay ranges based on location and experience.