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**: Manager, Engineering - Data Science
**Location:** Remote from the U.S.
**Reports to**: VP of Applied AI, Search, and Catalog
**About the role**
We are hiring a Data Science Manager to lead a team building LTK’s native AI platform and conversational AI capabilities across the company. This team will work on AI systems that power recommendations, retrieval, ranking, semantic understanding, and conversational experiences.
We are looking for someone who can lead a team of data scientists, stay close to the technical work, and drive execution from idea to production. You will partner closely with engineering, product, and brand teams to turn business problems into scalable AI solutions that improve user experience and business outcomes.
A key part of this role is building a high performing team. That includes setting clear expectations, giving direct feedback, coaching team members, and managing performance.
**How you will make an impact**
- 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. Also, partner with engineering to productionize models and build reliable AI systems. This includes providing 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.
**What you will bring to LTK**
##### Data Science / AI
- 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.
##### Leadership / Execution
- 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.
##### Communication / Work Style
- 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.
##### Technical Skills
- 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.
#### Nice to have
- Experience in marketplace, social commerce, or recommendation driven products.
- Experience with large scale or real time data systems.
#LI-CW1
#### **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
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#### **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.
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_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._#LI-Remote