Match.com

Senior Manager, Enterprise AI Engineering

Match.com • $225K — $260K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years in engineering and management, focusing on AI product development and team leadership.
  • Hands-on experience with generative AI technologies like LLMs, agentic workflows, and RAG.
  • Strong foundation in software engineering, including building production systems and APIs.
  • Proven track record of moving AI projects from prototypes to viable production solutions.
  • Experience managing complex technical projects and leading multi-disciplinary teams.
  • Skilled at translating business needs into technical solutions and communicating effectively across all levels.

Responsibilities

  • Lead and develop a team of AI engineers to deliver impactful solutions.
  • Design and develop AI tools, agents, and automations for enterprise applications.
  • Oversee core AI architecture and manage model access and integration.
  • Establish shared infrastructure to minimize duplication efforts across teams.
  • Define standards for reliable and scalable AI application development.
  • Evaluate and implement new AI tools and frameworks for business needs.
  • Manage relationships with vendors and key internal stakeholders to prioritize AI opportunities.

Benefits

  • Opportunity to work with cutting-edge AI technologies and innovative projects.
  • Collaborative work environment across various functions and teams.
  • Leadership role with growth opportunities in AI engineering.
  • Focus on practical applications of AI to solve real business problems.
  • Strong values emphasizing teamwork, fast-paced action, and creativity.
Full Job Description
The Role

The Senior Manager, Enterprise AI Engineering will lead a team focused on turning rapidly evolving AI capabilities into practical solutions for teams across Match Group.

You will partner with functions including Finance, Legal, People, Marketing, Communications, and Operations to identify high-value opportunities, rapidly build and deploy AI-powered solutions, and scale what works across the organization.

This is a hands-on leadership role for a builder who can move comfortably between business problems and technical solutions. You'll work with functional leaders, domain experts, Engineering, Data, IT, Security, and Privacy to take ideas from prototypes to reliable, reusable enterprise capabilities.

What You'll Do

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

Build and own AI infrastructure
  • Lead design and development of AI powered tools, agents, retrieval systems, automations, and services
  • Own and evolve core AI architecture - LLM Gateway, MCP Gateway, native and custom integrations, centralized app and dashboard deployment, and model access management
  • Shepherd solutions from prototype through production in close partnership with Engineering, Data, IT, Legal, Security, and Privacy

Drive adoption and standardization
  • Partner with brand AI leads and engineering leads across teams to establish shared infrastructure and avoid duplicated effort
  • Define engineering practices and technical standards for building reliable, secure, and scalable AI applications
  • Connect related AI initiatives and actively share technology and learnings across teams

Evaluate and expand capabilities
  • Evaluate, pilot, and roll out new models, tools, and platform feature in collaboration with legal and Security
  • Build frameworks to measure quality, reliability, adoption, and business impact

Be the connective tissue
  • 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 are grounded in real business needs


Who You Are

  • A hands-on technical leader who enjoys building as much as leading.
  • Experienced with modern AI technologies, including LLMs, agents, RAG, evaluations, model selection, and workflow automation.
  • Comfortable with APIs, data, integrations, cloud architectures, security, and enterprise systems.
  • Able to translate ambiguous business problems into practical technical solutions.
  • Pragmatic and outcome-oriented. You care about solving meaningful problems rather than using AI for its own sake.
  • Effective at building trust and driving complex initiatives across technical, business, and executive stakeholders.
  • Curious, adaptable, and comfortable operating in a field where capabilities and best practices evolve rapidly.


Qualifications

Required
  • 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.
Preferred
  • 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.


$225,000 - $260,000 a year

Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered.

This salary range is reflective of Los Angeles, CA. For all other locations, this salary may be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.

Our Values
  • Take the Lead: We don't ghost our work or each other. Just as users don't leave their matches hanging, we don't let each other down.
  • Move Fast: We have a bias for action and urgency. Something that could be done tomorrow would be better if done today.
  • Better Together: We keep connection at the heart of dating and at the heart of how we work. Just as our users are better when they connect with others, so are we when we collaborate.
  • Real Talk: We say the hard thing the human way. Just as we ask our users to behave with kindness and candor in our community, we expect all of us to do the same.
  • Safety First: We act with integrity, transparency, and consistency so people feel safe-whether they're swiping, matching, or working alongside us.
  • Spark Fun: We have fun to unlock creativity, fuel innovation, and help us build better experiences for daters.


#Match

About Match.com

Match.com is an online dating service that was launched in 1995. The service is available in over 50 countries and is available in 12 languages. Match.com is owned by Match Group, which also owns other dating services such as Tinder, OkCupid, and Hinge. The company has been involved in several lawsuits, including a lawsuit filed by the Federal Trade Commission in 2019 alleging that the company used fake love interest ads to trick consumers into buying subscriptions.
Learn more about Match.com
Size
2,500 employees
Market Cap
$11.1 billion
Industry
Net Income
$128.5 million
5 Year Trend
+21.7%
Revenue
$2.3 billion
NASDAQ

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