Engineering Manager, Data Science

LTK is a technology platform that empowers lifestyle creators to monetize their content. They are seeking a Data Science Manager to lead a team in developing AI systems that enhance user experience and improve business outcomes through scalable AI solutions. The role involves managing a team of data scientists, driving project execution, and partnering with various teams to deliver high-quality features.

Responsibilities:

• Lead a team of data scientists building LTK’s AI platform and conversational AI experiences
• Drive the development of LTK AI native platform and LLM powered workflows while thinking about cost efficiency
• Partner with engineering to productionize models and build reliable AI systems
• Provide technical guidance to teams on modeling, experimentation, evaluation, and production readiness
• Own team execution and help ensure features are delivered on time and at high quality
• Hire, develop, and retain strong data science talent
• Set clear expectations, provide regular feedback, and proactively manage the team's performance

Requirements:

• 7+ years of experience in data science, machine learning, or applied AI roles
• 3+ years of experience managing data scientists, or equivalent experience leading projects and mentoring others
• Experience building and deploying machine learning models in production
• Strong understanding of recommendation systems, ranking, retrieval, NLP, experimentation, applied statistics
• Experience with agentic AI, LLMs, advanced RAG, and workflow based AI systems
• Strong Python and SQL skills
• Ability to lead through ambiguity and keep teams moving in a fast-paced environment
• Experience driving projects from planning through execution while embracing AI coding assistant tools
• Strong ownership, prioritization, and follow through
• Comfort with direct conversations around accountability, growth, and team's performance
• Strong cross functional collaboration skills
• Strong written and verbal communication skills. Ability to explain technical concepts clearly to technical and non-technical partners
• Adaptability, moving with urgency, and a focus on operational excellence
• Growth mindset and openness to feedback
• Strong foundation in machine learning, statistics, and data analysis
• Experience with experimentation, model evaluation, and real world AI applications/systems
• Familiarity with cloud platforms such as AWS/GCP/Azure
• A bachelor's or master's degree in Computer Science, Statistics, Data Science, Engineering, or a related field is preferred, although relevant experience can substitute for formal education
• Experience in marketplace, social commerce, or recommendation driven products
• Experience with large scale or real time data systems