Senior Manager, Enterprise AI Engineering

Match Group

. Lead and grow a team of AI engineers focused on delivering high-impact enterprise solutions across the organization .

Posted 9/23/2026full-timeWest Hollywood • California • United StatesSenior💰 $225,000 - $260,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading AI engineering teams to develop and deploy high-impact enterprise solutions, with a strong focus on AI architecture, generative AI technologies, and cross-functional collaboration. Proven ability to translate business needs into effective AI applications while ensuring security, scalability, and reliability.

Highest-signal resume keywords

AI Architecture ManagementGenerative AI TechnologiesCross-Functional LeadershipEnterprise AI Product DevelopmentCommunication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI-Powered Product DevelopmentSoftware Engineering FundamentalsAPI DevelopmentData IntegrationEvaluation FrameworksModel APIsCloud InfrastructureSecurity GovernancePrototype to Production TransitionScalable AI Applications

Soft Skills

Excellent CommunicationStakeholder ManagementTeam Leadership

Industry Keywords

Enterprise SolutionsAI InitiativesCross-Functional Technical InitiativesVendor ManagementBusiness Impact Measurement

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Lead and grow a team of AI engineers focused on delivering high-impact enterprise solutions across the organization
Lead design and development of AI-powered tools, agents, retrieval systems, automations, and services
Own and evolve core AI architecture, including LLM Gateway, MCP Gateway, native and custom integrations, centralized app and dashboard deployment, and model access management
Shepherd solutions from prototype through production in partnership with Engineering, Data, IT, Legal, Security, and Privacy
Partner with brand AI leads and engineering leads to establish shared infrastructure and avoid duplicated effort
Define engineering practices and technical standards for reliable, secure, and scalable AI applications
Connect related AI initiatives and share technology and learnings across teams
Evaluate, pilot, and roll out new models, tools, and platform features in collaboration with Legal and Security
Build frameworks to measure quality, reliability, adoption, and business impact
Manage vendor relationships and internal stakeholder expectations
Partner with functional leaders and domain experts to identify and prioritize high-impact AI opportunities and ensure solutions address real business needs

Requirements

What you’ll need

5+ years of relevant engineering and management experience, including meaningful hands-on experience building and deploying AI-powered products or systems and managing teams of engineers
Experience building applications using modern generative AI technologies, including LLMs, agentic workflows, RAG, evaluations, and model APIs
Strong software engineering fundamentals and experience building production systems, APIs, integrations, and data-driven applications
Experience taking AI or emerging technologies from prototype through production and adoption
Experience leading engineers and complex, cross-functional technical initiatives
Demonstrated ability to work directly with business stakeholders and domain experts to translate problems into working solutions
Excellent communication skills across technical, business, and executive audiences
Experience building enterprise AI products or platforms used across multiple business functions
Experience with enterprise AI architecture, cloud infrastructure, security, data integration, and governance
Experience designing evaluation and monitoring frameworks for generative AI systems
Experience creating reusable platforms, services, or components from initially specialized use cases
Experience scaling emerging technologies within a large organization