Senior Manager, Engineering – Data Science

LTK (formerly rewardStyle & LIKEtoKNOW.it)

. Lead the team developing reusable AI models, services, and tools for common needs across LTK .

Posted 11/3/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading AI model development, managing data science teams, and delivering reliable AI services. Proficient in translating cross-team needs into actionable AI platform roadmaps while ensuring quality and operational readiness.

Highest-signal resume keywords

Data Science ExperienceMachine Learning LeadershipAI Service DevelopmentModel Evaluation and Quality MonitoringTeam Management and Coaching

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningApplied StatisticsAI EvaluationsLarge Language Models (LLM)Automated EvaluationsRegression DetectionQuality CriteriaDeployment PracticesObservabilityTechnical Problem Solving

Soft Skills

CoachingPerformance ManagementCross-Team CollaborationTechnical GuidanceExpectation Setting

Tools & Technologies

AI PlatformsEvaluation ToolingIntegration SupportDocumentationService Interfaces

Industry Keywords

Data ScienceMachine Learning TeamsProduction Quality MonitoringSocial CommerceRecommendation-Driven Products

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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