Senior Manager, Engineering – Data Science

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead a team focused on developing reusable AI models, services, and tools to address common requirements across LTK.

• Establish and prioritize the AI platform roadmap in collaboration with engineering, product, and data leaders.

• Identify foundational investments based on business value, inter-team demand, and technical dependencies.

• Collaborate with internal teams to grasp their needs, facilitate integration, and offer documentation and technical guidance.

• Work alongside engineering on the deployment, monitoring, versioning, and ongoing operation of AI services.

• Oversee evaluation tools, representative datasets, quality criteria, release criteria, and production quality monitoring for AI systems.

• Guide decisions regarding models, providers, and architecture while balancing accuracy, latency, reliability, and operating costs.

• Set priorities, manage dependencies, and assess platform adoption, service performance, and outcomes for partner teams.

• Recruit and retain talent, foster career growth, provide regular feedback, and address performance challenges.

• Establish clear expectations, mentor team members, and manage performance effectively.

⛳️ Requirements

• Over 7 years of experience in data science or machine learning.

• More than 3 years of direct management experience leading data science or machine learning teams, encompassing hiring, coaching, career development, and performance management.

• Proven experience delivering LLM-powered capabilities into production and ensuring their quality, reliability, latency, and cost post-launch.

• Extensive experience in creating and managing AI evaluations, including representative evaluation datasets, task-specific quality criteria, automated evaluations, human review, regression detection, release criteria, and production quality monitoring.

• Background in developing AI services, tools, or platforms that are utilized in production by multiple teams.

• Strong foundation in machine learning, applied statistics, and experimentation.

• Ability to translate cross-team requirements into an actionable AI platform roadmap.

• Experience in delivering reliable AI services with service interfaces, deployment practices, observability, and operational readiness.

• Capability to make shared resources discoverable, integrable, and operable through clear interfaces, documentation, and support.

• Experience in evaluating models, providers, and tools based on quality, integration effort, operating cost, and maintainability.

• Proficiency in reviewing code and architecture, challenging assumptions, and solving complex technical problems.

• Authorization to work in the U.S.; LTK does not provide new sponsorship opportunities for individuals requiring employment visas.

• A bachelor’s or master’s degree in Computer Science, Statistics, Data Science, Engineering, or a related field is preferred; equivalent practical experience is also highly valued.

• Nice to have: experience with large-scale or real-time data and inference systems.

• Nice to have: experience with retrieval-augmented generation or AI workflow orchestration.

• Nice to have: experience in marketplaces, social commerce, or products driven by recommendations.

🏝️ Benefits

• The chance to be part of a leading global company in creator commerce.

• A remote-first, productivity-focused work environment.

• Competitive compensation and benefits package tailored to meet the needs of you and your family.

• 401(k) plan with company matching from LTK.

• Comprehensive Medical, Vision, and Dental Insurance.

• Paid Maternity Leave and Paid Paternity Leave.

• Summer Fridays and Flexible PTO.