About Us:

We are a fast-growing, Series A startup revolutionizing photography workflows.

Our mission is to help photographers spend less time behind their computers during post-production and more time behind the camera.

We’re leveraging cutting-edge AI to enhance our product offerings, deliver customer value, and scale rapidly. We’re seeking a dynamic and strategic leader to head our AI team and drive innovation as we continue to grow.

Role Overview:

As the AI Engineering Manager, you will define and execute AI initiatives focused on computer vision and edge deployment. You will work closely with data scientists, machine learning engineers, and cross-functional teams to build AI-powered solutions that enhance product capabilities, improve customer experience, and scale our technology infrastructure for real-world applications. You’ll also play a key role in mentoring junior team members and collaborating with senior leadership to drive the company’s AI strategy.

Key Responsibilities:

Strategic Leadership & Vision

1. Define the technical roadmap for AI solutions, focusing on computer vision and edge deployment strategies.
2. Collaborate with product and engineering teams to integrate computer vision models into the company’s products.
3. Drive innovation by identifying and solving key challenges in scaling AI and computer vision solutions to edge environments.

Technical Execution

1. Lead the design, development, and deployment of computer vision models optimized for edge devices, ensuring low-latency and high-performance in real-world applications.
2. Architect scalable solutions for deploying AI on various edge platforms (e.g., IoT, mobile, embedded systems), ensuring efficient resource usage and reliability.
3. Collaborate with the data team to ensure that high-quality visual data is collected, cleaned, and annotated for training models.

Model Deployment & Optimization

1. Oversee the end-to-end process of building, testing, and deploying computer vision models, particularly in environments with limited computing resources (e.g., edge devices).
2. Implement continuous monitoring and maintenance for deployed models, addressing challenges like model drift and optimizing for edge-specific constraints.
3. Innovate and experiment with new techniques to improve the efficiency and accuracy of computer vision models deployed on edge devices.

Cross-functional Collaboration

1. Partner with engineering, product, and customer teams to ensure AI-driven solutions directly solve customer problems and align with business needs.
2. Collaborate with stakeholders to gather and act on customer feedback regarding AI-powered features, especially those utilizing computer vision technology.

Leadership & Mentorship

1. Provide technical leadership and mentorship to junior engineers and data scientists, guiding them through complex AI challenges and fostering a culture of learning and growth.
2. Act as a key AI subject matter expert within the organization, influencing product development and driving decision-making processes.

Scalability & Growth

1. Drive the scaling of AI models to meet growing customer demands, especially as the company expands its product offerings and customer base.
2. Stay on top of advancements in computer vision and edge AI, ensuring the company is leveraging the latest technologies and maintaining a competitive edge.

Qualifications:

• Proven experience of leading and managing a team of skilled Engineers
• Proven experience leading the development and deployment of computer vision models, especially on edge devices (e.g., mobile, IoT, embedded systems).
• Expertise in computer vision tools and libraries (e.g., OpenCV, TensorFlow, PyTorch) and experience with real-time image processing and optimization techniques.
• Strong background in machine learning, computer vision, and AI architecture design for edge environments.
• Strong communication and collaboration skills with the ability to explain complex AI concepts to both technical and non-technical stakeholders.
• Passion for mentoring and developing junior engineers.