Sr Manager, Engineering - Data Science

shopltk; United States; A distancia; USD 180.000 - 240.000; Jornada completa

Descripción de la vacante

LTK is seeking a Senior Manager, Engineering - Data Science to lead a team building foundational AI capabilities and production-ready services. You will define an AI platform roadmap, collaborate with engineering and product leaders, and drive scalable, measurable outcomes across search, recommendations, and catalog workflows.

You will manage a high-performing team, coach engineers, and ensure quality, reliability, and cost efficiency while delivering value to partner teams across the business.

Formación

• 7+ years of experience in data science or ML.
• 3+ years of direct people management leading data science teams.
• Experience shipping AI systems and owning their performance.
• Experience building shared AI capabilities and making them reusable.
• Strong foundation in ML, statistics, and experimentation.

Responsabilidades

• Build shared AI capabilities and reusable models, services, and tools.
• Shape the AI platform roadmap with engineering and product leadership.
• Enable internal teams with documentation and guidance for AI adoption.
• Deliver production-ready AI services with deployment, monitoring, and versioning.
• Lead evaluation infrastructure and data pipelines to ensure model quality.
• Manage cost, latency, and reliability in AI deployments.
• Own execution and outcomes by setting priorities and measuring platform adoption.
• Develop the team by hiring and coaching, providing feedback, and addressing performance issues.

Conocimientos

Data science

Machine learning

People management

AI platform development

Descripción del empleo

LTK's mission is to empower the world's premium lifestyle Creators to achieve maximum economic success. We have a huge opportunity ahead of us and we're looking for team members who want to create, innovate and disrupt an industry.

We empower our team members to drive innovation, create value, and continue to spearhead the creation of this industry - a game changer when it comes to career growth.

Position Title : Sr Manager, Engineering - Data Science

Location: Remote from the U.S.

Reports to : CPTO

About the role

We are hiring a Senior Data Science Manager to lead the team building LTK's foundational AI capabilities. This team develops shared models, services, tools, and evaluation frameworks that enable teams across LTK to build and deploy AI effectively.

You will help define the AI platform roadmap, identify capabilities that can serve multiple teams, and turn promising approaches into reliable production services. The work spans areas such as embeddings, semantic understanding, retrieval, model evaluation, and access to large language models, supporting applications across search, recommendations, catalog, and other product and business workflows.

We are looking for a technically strong people leader who can connect AI with practical platform development. You will partner closely with engineering and product teams to make shared AI capabilities easy to adopt, operate, and improve. Success means helping those teams deliver better experiences faster, with measurable quality, reliability, and cost efficiency.

Building a high-performing team is central to this role. You will set clear expectations, provide direct feedback, coach team members, and manage performance.

How you will make an impact

Build shared AI capabilities. Lead a team developing reusable models, services, and tools that address common needs across LTK.

Shape the platform roadmap. Partner with engineering, product, and data leaders to prioritize foundational investments based on business value, demand across teams, and technical dependencies.

Enable other teams. Work with internal partners to understand their needs, support integration, and provide clear documentation and technical guidance.

Deliver production-ready systems. Partner with engineering on deployment, monitoring, versioning, and ongoing operation of AI services.

Make evals foundational to AI development. Own the team's approach to evaluating AI systems, from shared evaluation tooling and representative datasets to release criteria and production quality monitoring. Enable partner teams to measure whether AI capabilities work reliably for their use cases and improve them with evidence.

Manage quality and cost. Guide decisions about models, providers, and architecture, balancing accuracy, latency, reliability, and operating cost.

Own execution and outcomes. Set clear priorities, manage dependencies, and measure success through platform adoption, service performance, and the outcomes enabled for partner teams.

Develop the team. Hire and retain strong talent, support career growth, give regular feedback, and address performance issues directly.

What you will bring to LTK

Data Science and AI

7+ years of experience in data science or machine learning

3+ years of direct people management experience leading data science or machine learning teams, including hiring, coaching, career development, and performance management.

Experience shipping AI systems. You have delivered LLM-powered capabilities into production and owned their performance after launch, including quality, reliability, latency, and cost. Your experience includes operating AI systems beyond prototypes and traditional ML projects.

Strong experience building and operating AI evaluations (evals). You have created representative evaluation datasets, defined task-specific quality criteria, and built automated evaluations with human review where needed. You have used evals to guide model and prompt selection, catch regressions, establish release criteria, and monitor quality in production.

Experience building shared AI capabilities. You have built AI services, tools, or platforms that multiple teams have adopted and used in production. You understand how to make those capabilities reusable, reliable, and easy to integrate.

Strong technical foundations. You bring a solid grounding in machine learning, applied statistics, and experimentation. You use that knowledge to choose practical approaches, test assumptions, and measure results.

Platform and Technical Leadership

Platform strategy and ownership. You can translate needs across teams into a focused AI platform roadmap. You prioritize investments that solve shared problems, accelerate delivery, and create lasting value.

Production service leadership. You have partnered with engineering to deliver reliable AI services, shaping service interfaces, deployment practices, observability, and operational readiness. You establish clear ownership and measurable