Role Overview: We are looking for a Technical Product Manager to drive the vision and execution of Vailient’s AI Integration Platform. You will bridge the gap between business requirements and technical implementation. Your background in Full Stack development will be crucial in planning feasible roadmaps, designing scalable architectures, and guiding our development team to build world-class AI solutions.

Responsibilities:

• Product Planning & Strategy: Define and manage the product roadmap, translating business goals into technical requirements and actionable development plans.

• Technical Solution Design: Utilize your Full Stack expertise (Python, Go, React) to assess technical feasibility, design system architecture, and choose the right tech stacks for new features.

• Development Oversight: Collaborate closely with the engineering team to ensure high-quality code delivery. While you won't be coding full-time, you must be able to review code, understand PRs, and guide technical decisions.

• Requirement Analysis: Break down complex requirements for AI/Computer Vision integration into clear user stories and technical specifications for the dev team.

• Cross-Functional Collaboration: Work with internal stakeholders and external partners to integrate third-party systems (e.g., ALPR systems, IoT devices) seamlessly into our platform.

• Quality & Support Management: Oversee the product’s lifecycle from development to deployment, ensuring robust performance across Windows/Linux servers and minimizing technical debt.

Qualifications:

• Experience:

  • Proven experience in Product Management or a similar role (e.g., Tech Lead, System Analyst).

  • Strong background in Full Stack Development (2+ years preferably) with hands-on experience in Python, Go (Golang), and JavaScript (React).

• Technical Skills:

  • Proficiency in designing RESTful APIs (FastAPI) and working with databases (PostgreSQL, MongoDB).

  • Understanding of DevOps, Linux, VMware, and Cloud infrastructure is highly desirable.

  • Basic knowledge of AI/Machine Learning pipelines is a strong plus.

• Management Skills: Ability to plan, prioritize, and manage multiple projects using Agile/Scrum methodologies.

• Communication: Excellent English communication skills to articulate technical concepts to non-technical stakeholders and clients.

• Education: Bachelor’s degree in Computer Science, Engineering, or related fields.

Benefits:

• Competitive Compensation: Attractive salary package with performance-based bonuses.

• Flexible Work Culture: Hybrid working model with remote work options to support work-life balance.

• Health & Wellness: Comprehensive health and dental insurance plans.

• Growth & Development: Access to the latest AI tools/tech and support for continuous learning.

• Leave & Holidays: Generous paid time off, including extended parental leave.

• Team Environment: A collaborative culture that values innovation, with regular employee recognition programs.