Engineering Manager

As the Engineering Manager, you will lead a talented, cross-functional team of engineers and data scientists to design and develop transformative solutions for our Personalization Science products. Your role will focus on the application of advanced AI technologies, specifically LLMs and NLP, to enhance existing product capabilities and develop new capabilities for our clients. You will be instrumental in setting technical direction, fostering team collaboration, and ensuring project alignment with strategic business goals.

Responsibilities:

• Team Leadership: Recruit, mentor, and manage a team of software engineers and data scientists, fostering a collaborative and high-performance culture.
• Technical Guidance: Provide expertise in LLMs, NLP, and machine learning (ML) technologies to guide the team in developing and implementing innovative solutions.
• Project Management: Oversee the end-to-end delivery of product features, from ideation and prototyping through development, deployment, and optimization.
• Collaboration: Work closely with Product, and other cross-functional teams to align technical initiatives with business objectives and ensure seamless integration with our other solutions.
• Strategy Development: Define and implement technical strategies for NLP and LLM applications, staying abreast of industry advancements and evolving best practices.
• Quality Assurance: Ensure high standards for code quality, testing, and reliability, balancing innovation with the need for robust, scalable production systems.
• Continuous Improvement: Drive an agile development process with continuous improvement, focusing on both individual and team development, system refinements, and process optimization.
  
  

• Education: Bachelor’s degree in computer science, engineering, or equivalent work experience
• Experience: 8+ years in software engineering or data science, with 3+ years in a leadership or management role
• Technical Expertise: Strong background in LLMs, NLP, and machine learning frameworks (e.g., TensorFlow, PyTorch, Hugging Face), with experience in deploying production-level solutions.
• Project Management Skills: Proven experience managing cross-functional teams with agile methodologies (i.e. SCRUM)
• Communication Skills: Excellent interpersonal and communication skills with a track record of working effectively across functions.
• Problem-Solving Skills: Analytical mindset with a strong ability to tackle complex, abstract problems and drive impactful solutions.
• Preferred Skills: Familiarity with cloud platforms (e.g., AWS, GCP), MLOps best practices, and deployment of scalable AI models in production environments.