Lead Engineering Manager AI

Job Overview

We are seeking a dynamic and innovative Lead Engineering Manager AI to join our Fashion team at Meero, focusing on our AutoRetouch product line. As part of a 10-person startup-like team within Meero, you will play a crucial role in revolutionizing the production and editing of images for e-commerce through cutting-edge AI technologies.

About the Team and Products

Our Fashion team is dedicated to developing AutoRetouch, an advanced suite of AI-driven tools designed to transform image production and editing for large brands and marketplaces in the B2B e-commerce space. The core challenge is to develop and deploy AI algorithms at scale, capable of processing tens of millions of images annually.

AutoRetouch consists of two main products:

• AI Image Enhancement: Automates the retouching process of pre-captured photos using advanced image segmentation and generative AI techniques, such as shadow creation. This product is already in the market and serving multiple clients, streamlining their image production workflows.
• AI Image Generation: Focuses on generating high-quality images that showcase real clothes on AI-generated models. This product is currently in the pre-product-market fit stage, with significant potential for innovation and development.

Key Responsibilities

• Team Leadership: Manage and mentor a team of engineers (Computer Vision, Data, Fullstack), fostering top-tier performance and a collaborative, innovative work environment.
• Tech Vision: Direct our AI endeavors to ensure they remain at the cutting edge of technology. Oversee the development of two products: one mature product and another pre-market fit product focused on generative AI.
• Technical Strategy: Define and drive the technical strategy, ensuring alignment with business goals while leveraging the latest advancements in AI and machine learning.
• Hands-on Contribution: Maintain a hands-on approach in coding and problem-solving, providing technical guidance and best practices to support the team.
• Cross-functional Collaboration: Work closely with other departments, including product management, translating tech potentials into impactful, market-ready offerings.
• Quality Guardian: Establish and uphold quality control measures, guaranteeing the reliability and precision of our tech outputs.
• Performance Management: Set clear performance objectives, conduct regular performance reviews, and support professional development within the team.

Qualifications/Skills

• At least 7 years in software engineering, with a strong background in computer vision. Advanced degrees (Ph.D. or Master's) in Computer Science, Machine Learning, Computer Vision, or related fields are highly preferred.
• Hands-on experience in building, implementing, and deploying cutting-edge machine learning and AI models in industry settings. Strong experience in Python and Pytorch. Familiar with DevOps principles: CI/CD, Cloud technologies, and Docker.
• Over 3 years of successfully managing high-performing, diverse software engineering teams (ML, Front-end, Back-end).
• Capable of seamlessly switching between hands-on execution and providing strategic advice, adapting to the needs of the situation.
• Ability to communicate complex technical concepts to both technical and business stakeholders and demonstrated success in developing and executing AI strategies that align with business objectives.
• Thrive in a fast-paced environment, driving your team to excel by viewing changes as opportunities to add structure and order where needed.
• Strong entrepreneurial mindset with the ability to drive projects involving complex technical challenges and take full responsibility for problems, ensuring end-to-end solutions.
• Strong English and French communication skills, both written and verbal.

Hiring Process

1. A first call with a member of our Talent Acquisition Team.
2. A second interview to discuss technical expertise and give you more details about the position and the team.
3. Technical Test, live coding session to assess your real-time coding skills and approach to problem-solving.
4. Final Interview, On-site meeting (Paris Office) with the CTO, CEO, and team members to discuss your fit within the team and company culture.

This is a unique opportunity to lead a talented team, drive technological innovation, and make a significant impact in the fashion e-commerce industry.