Sr Manager, Engineering - Data Science

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 expectations for quality, latency, availability, and cost.
• Adoption and developer experience. You treat internal teams as customers. You make shared capabilities easy to discover, integrate, and operate through clear interfaces, documentation, and practical support, and use adoption and feedback to guide improvements.
• Sound architectural judgment. You make informed decisions about what to build, buy, or adopt. You evaluate models, providers, and tools against demonstrated quality, integration effort, operating cost, and long-term maintainability.
• Hands-on technical leadership. You stay close enough to the work to review code and architecture, challenge assumptions, and resolve difficult technical problems. You set clear standards while developing your team’s judgment and ownership.

A bachelor’s or master’s degree in Computer Science, Statistics, Data Science, Engineering, or a related field is preferred. Equivalent practical experience is equally valued.

Nice to have

• Experience with large-scale or real-time data and inference systems.
• Experience with retrieval-augmented generation or AI workflow orchestration.
• Experience in marketplaces, social commerce, or recommendation-driven products.

What we offer for full-time salaried employees

• The opportunity to be part of the leading global company in creator commerce
• A remote-first, productivity-first environment
• Competitive compensation and benefits package to meet the needs of you and your family
• 401(k) with LTK company matching
• Medical Insurance, Vision Insurance, Dental Insurance
• Paid Maternity Leave and Paid Paternity Leave
• Summer Fridays and Flexible PTO
• For temporary full-time employees, benefits eligibility may vary

About LTK

Founded in 2011, LTK is the global technology platform purpose-built to empower lifestyle creators to monetize their content. The full-service platform connects brands, creators, and shoppers with a world-class shopping app and trusted tools and technology that make content instantly shoppable. Today, premium lifestyle creators in 160+ countries drive more than $5 billion+ in annual retail sales through their LTK Shop profiles. More than 40 million consumers turn to LTK Shops in the LTK shopping platform each month to find inspiration and instantly shop the styles recommended by their favorite creators. More than 8,000 retailers and 1M brands partner with LTK to gain access to its global creator network for content that converts against performance-driven, cross-channel KPIs. LTK is headquartered in Dallas, TX, and currently operates on five continents.

Our mission

To empower the world’s premium lifestyle Creators to achieve maximum economic success.

Our values

• Here to win
• Commit to the journey
• Work well

Commitment to diversity

LTK believes diversity, equity, and inclusion are fundamental obligations that strengthen our team. We employ a diverse, multi-disciplinary team to build a meaningful company and culture.

For US-Based Roles: We are not offering new sponsorships opportunities at this time for persons requiring employment visas, such as an H-1B; authorization to work in the U.S. is a precondition of employment.

Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of LTK are considered the property of LTK and are not subject to payment of agency fees.

LTK is an Equal Opportunity Employer.

Originally posted on Himalayas