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Added 6 mins ago
Future Talent Pipeline - Food Service & Hospitality
Shannex Incorporated
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Part-time
You will be surrounded by supportive and talented team members who make our communities great places to live, work and visit. As an established and respected organization in the healthcare…
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Lead Cook
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Part-time
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Clinical Manager – 37.5 hours/week – Permanent
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Satellite TT&C/PDT Systems Engineer
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Added 21 mins ago
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Added 2 hours ago
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Vancouver, BC
$151,000 to $227,000 CAD / year
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Member of Technical Staff 2
Nutanix
Vancouver, BC
$103,000 to $155,000 CAD / year
Full-time
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Added 2 hours ago
Member of Technical Staff 5
Nutanix
Vancouver, BC
$171,000 to $257,000 CAD / year
Full-time
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Match Group

Senior Manager, Enterprise AI Engineering

Vancouver, BC, Canada

Pay: $225,000 - $260,000 a year
Job type: Full-time
Posting language: English
Posted: Sep 22, 2026

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Original job description

Know where you belong!

Match Group is a leading provider of dating products across the globe. Our portfolio includes Tinder, Hinge, Match, Meetic, PlentyOfFish, OkCupid, The League, HER, and others, each designed to spark meaningful connections for singles worldwide. Creating a sense of belonging doesn’t stop at our products - it’s the foundation of every team we hire.

When it comes to dating, the connection starts online, but the real magic happens once you meet in real life (IRL). We think the same is true for creating the best platforms, so we work together IRL 3 days/week.

\nThe 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.

If you require a reasonable accommodation to participate in the hiring process - such as during pre-employment testing or interviews - please indicate this by selecting “Yes” in the accommodation request field. We’ll reach out to discuss your needs if you're selected for the interview stage.

#Match

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More about this job

Responsibilities

Lead and grow a team of AI engineers to build and deploy high-impact enterprise AI solutions across the organization. Partner with cross-functional stakeholders to identify business needs and shepherd AI initiatives from prototype through production.

Requirements

Requires 5+ years of engineering and management experience with a focus on generative AI technologies and production systems. Candidates must demonstrate strong software engineering fundamentals and the ability to translate complex business problems into technical solutions.

Skills

Artificial Intelligence
LLMs
RAG
Agentic Workflows
Software Engineering
Cloud Architecture
API Development
Data Integration
Enterprise Systems
Team Leadership
Project Management
Technical Strategy
Model Evaluation
Workflow Automation
Security
Governance

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
LLM Gateway
MCP Gateway
Generative AI
RAG
Agentic Workflows
Software Engineering
Cloud Infrastructure
API
Data Integration
Enterprise Architecture
Model Selection
Workflow Automation
Security
Governance
Prototyping
Production Deployment
Technical Leadership
Cross-functional Collaboration
Stakeholder Management
Engineering Standards
Evaluation Frameworks
Monitoring
Scalability
Reliability
Match Group
Engineering
Data
IT
Legal

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