Senior Manager, Engineering – Data Science

🔥 43 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

👮‍♀️ Software Engineering Manager

👻 Ghost score 12%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

LTK (formerly rewardStyle & LIKEtoKNOW.it)

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2011

📣 Marketing

💼 Consulting

📦 Logistics

Marketing • Consulting • Logistics

LTK is a global brand that was originally formed from rewardStyle and LIKEtoKNOW. it, focusing on Creator Commerce. Since its inception in 2011, LTK has revolutionized the way brands and lifestyle Creators monetize their online presence, driving significant sales for millions of shoppers worldwide. The platform connects over 800 Creators with 8,000 retailers and provides shoppers with a curated buying experience through innovative technology and direct relationships between Creators and brands.

📋 Description

• Lead the team developing reusable AI models, services, and tools for common needs across LTK • Define and prioritize the AI platform roadmap with engineering, product, and data leaders • Identify foundational investments based on business value, cross-team demand, and technical dependencies • Partner with internal teams to understand needs, support integration, and provide documentation and technical guidance • Partner with engineering on deployment, monitoring, versioning, and ongoing operation of AI services • Own evaluation tooling, representative datasets, quality criteria, release criteria, and production quality monitoring for AI systems • Guide model, provider, and architecture decisions while balancing accuracy, latency, reliability, and operating cost • Set priorities, manage dependencies, and measure platform adoption, service performance, and partner-team outcomes • Hire and retain talent, support career growth, provide regular feedback, and address performance issues • Set clear expectations, coach team members, and manage performance

🎯 Requirements

• 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 delivering LLM-powered capabilities into production and owning their quality, reliability, latency, and cost after launch • Strong experience building and operating AI evaluations, including representative evaluation datasets, task-specific quality criteria, automated evaluations, human review, regression detection, release criteria, and production quality monitoring • Experience building AI services, tools, or platforms adopted and used in production by multiple teams • Strong grounding in machine learning, applied statistics, and experimentation • Ability to translate cross-team needs into an AI platform roadmap • Experience delivering reliable AI services with service interfaces, deployment practices, observability, and operational readiness • Ability to make shared capabilities discoverable, integrable, and operable through clear interfaces, documentation, and support • Experience evaluating models, providers, and tools based on quality, integration effort, operating cost, and maintainability • Ability to review code and architecture, challenge assumptions, and resolve difficult technical problems • Authorization to work in the U.S.; LTK is not offering new sponsorship opportunities for persons 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 equally 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 recommendation-driven products

🏖️ Benefits

• 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

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume