Clipbook looking for a Full Stack Engineer to join our growing team and play a critical role in building and scaling our platform. If you’re passionate about AI, enjoy tackling complex technical challenges, and thrive in a startup environment, we’d love to hear from you.

This is a founding product engineering role at Clipbook, with the opportunity to have a great deal of control, autonomy, and leadership in engineering strategy & execution.

In this role, you will be responsible for rapidly delivering our product roadmap, interacting with customers to identify their needs, and working closely with cross-functional teams (across engineering, customer success, and sales) to ensure our products meet market demands.

This position is ideal for someone with a passion for early stage businesses, rapid execution, and a passion for early-stage product strategy.

Key Responsibilities:

Full Stack Development: Rapidly deploy key, customer-facing features to Clipbook’s 200+ customers; design, develop, and maintain robust, scalable, applications across the stack.
Database Architecture: Build and optimize database systems to ensure seamless data flow and query performance for our platform.
AI/ML Integration: Integrate AI models into production environments, ensuring reliability and scalability.
Technical Leadership: Contribute to technical design decisions, mentor junior developers, and ensure high-quality code through reviews and best practices.
Scalability & Performance: Optimize the platform for high performance and handle large-scale data processing.

Required Skills & Experience:

3-5+ years of experience in full stack development, with expertise in modern frameworks (e.g., React, Vue, Angular, Next), backend technologies (e.g., Node, Python, Java) and ORM (e.g. Django, Sequelize).
Hands-on experience with AI/ML model integration into production workflows, ideally with Python-based ML libraries.
Strong knowledge of database design and optimization (e.g. SQL, NoSQL, PostgreSQL).
Proven experience designing, deploying, and maintaining large data sets including cost considerations for storage, backups, and security.
Experience with cloud platforms (e.g., AWS, GCP, Azure), containerization tools (e.g., Docker, Kubernetes), Infrastructure as Code (e.g. Terraform), and continuous deployment.
Ability to lead API design and technical architecture to support integration with existing and future products.
Strong problem-solving skills and ability to architect solutions for complex, dynamic workflows.
Exposure to natural language processing (NLP) or AI model fine-tuning.

What We Offer:

Competitive salary and and full benefits (medical, dental, vision, 401(k)).
A profitable- and rapidly-growing startup with commercial rigor at its core backed by leading investors.
A smart, hard-working, and resourceful team that is passionate, driven, and excited.
A product with incredible commercial velocity generating $M’s in revenue.
Nimble & rapid execution - with the chance to make a high-leverage impact on product strategy & investments.