Jobs at Match Group

Designs, implements, and supports cloud infrastructure, Kubernetes platforms, CI/CD systems, databases, observability, and large-scale microservices. Troubleshoots Linux and infrastructure issues, improves reliability and scalability, establishes development lifecycle standards, and manages AWS or GCP environments using Terraform. Collaborates with security, IT, finance, product, and engineering teams on delivery, compliance, cost optimization, and infrastructure roadmaps. Provides technical guidance, interviews candidates, and shares platform engineering knowledge.

Supports Tinder’s Events initiative by sourcing and curating events, managing partner communications, maintaining city and brand event inventories, editing event metadata and assets, and evaluating event appeal to users. The role requires strong awareness of Gen Z culture, social media trends, creators, and authentic partnerships, along with Google Suite and AI tool familiarity. This is a one-year hybrid contract based in or around Los Angeles with occasional late-night and weekend work.

Designs, develops, and operates scalable backend systems, distributed data platforms, APIs, and shared services. Responsibilities include software testing, cloud deployment, performance monitoring, technical documentation, cross-functional deployment coordination, backend technology evaluation, and support for high-traffic mobile applications. The role also involves data analysis, compliance-related systems, container orchestration, event-driven technologies, and collaboration with engineering and other business teams.

Analyze and forecast technology OPEX, perform financial close and variance analysis, and improve reporting accuracy. Build automated workflows, dashboards, predictive financial models, enterprise data pipelines, and scalable reporting solutions using statistical, machine-learning, and cloud analytics tools. Partner with Finance, Accounting, and cross-functional stakeholders to reconcile data, strengthen controls, and support technology investment decisions.

Leads the Emerging & Established Marketing Analytics insights function, building and coaching an analyst team while owning full-funnel performance narratives across brands and markets. Translates experimentation and measurement outputs into recommendations, delivers executive-level insights, manages senior stakeholders, establishes scalable analytical frameworks, and partners cross-functionally with Marketing, Product, Finance, Data Science, BI, and Operations.

Drive cross-functional technical programs across Tinder’s recommendations, revenue, and engagement teams. Own planning through launch, manage dependencies and risks, coordinate Product, Engineering, Design, Analytics, and business partners, and communicate program health to leadership. The role covers recommendation infrastructure, subscriptions, payments, advertising, lifecycle messaging, and CRM platforms while maintaining delivery quality and velocity across global mobile, backend, ML, and web initiatives.

Supports influencer marketing campaigns from concept through post-mortem by developing briefs, sourcing and vetting creators, coordinating communications, contracts, payments, events, gifting, shoots, and content approvals. Tracks campaign timelines, usage rights, disclosures, audience metrics, reach, engagement, sentiment, and conversions. Maintains creator databases and campaign trackers, identifies cultural trends, flags brand-safety risks, supports owned social content, and uses performance insights to improve future partnerships.

Manage social content calendars and campaigns across TikTok, Instagram, and emerging platforms. Create, edit, schedule, and optimize social-first content; write captions and posts; manage community interactions; monitor sentiment and trends; source user-generated content and creators; and analyze engagement, reach, and follower growth to improve daily content performance.

Build and ship applied AI tools for legal work: identify high-impact opportunities, prototype agents and retrieval systems, integrate with enterprise data and systems, measure quality against human baselines, and train and onboard lawyers. Partner with Legal Ops, IT, Security, and product teams to iterate, evaluate, and scale AI-native legal capabilities across Match Group.

Build and maintain consumer-facing Android features for Tinder, contributing to architecture, shared frameworks, libraries, analytics tools, authentication flows, and account management. Collaborate with product and design teams to influence roadmap development and deliver scalable in-app experiences to millions of users. The role requires native Android and Kotlin development, architectural design patterns, dependency injection, coroutines, testing, and strong communication.

Leads Tinder’s marketing strategy and execution across Spain and Italy, including brand, paid, earned and owned media, social, partnerships, community events, campaigns, and content. Manages budgets, agencies, market insights, and a growing team while collaborating with global and EMEA leadership. The role drives culturally relevant brand growth, youth audience engagement, and consistent regional execution from Madrid.

Create and maintain Tinder’s visual brand across campaigns, social, events, merchandise, paid media, microsites, and other marketing touchpoints. The role develops polished and reactive creative, manages campaign lockups and brand guidelines, prepares app assets in Figma, reviews brand outputs, and partners with legal, security, IT, engineering, agencies, and internal stakeholders. Success requires strong typography, layout, brand storytelling, attention to detail, rapid execution, and the ability to manage multiple deadlines.

Senior Privacy Counsel will advise on global cybersecurity incidents, breach notifications, emerging privacy and data regulations, AI-related compliance, vendor risk, privacy-by-design, audits, and governance. The role partners with security, product, engineering, and senior leadership teams while developing legal guidance, policies, and playbooks. Candidates need BC bar admission, 5+ years of relevant legal experience, privacy and cybersecurity expertise, knowledge of major privacy regimes, technical fluency, strong communication skills, and ideally IAPP certifications.

Lead identity and access security across a global portfolio, including authentication, authorization, non-human identities, PAM, JIT access, and Cloudflare ZTNA. Design Okta policies, integrate endpoint and SaaS security signals, manage identity governance and compliance, and automate security workflows using infrastructure-as-code, scripting, and AI tooling. Influence cross-functional teams, modernize access controls, and drive complex security initiatives to completion.

Owns recurring executive reporting, competitive intelligence, cross-brand analytics, and ad hoc analysis across Match Group brands. Consolidates metrics from multiple data sources, analyzes user overlap and migration, sizes markets, supports executive and Board decisions, and improves reporting automation. Requires strong SQL, Excel, BI visualization, communication, and presentation skills across marketing, product, finance, and research data.

Leads Match Group’s Growth Technology organization across MarTech engineering, marketing data foundations, technical program management, and organic growth. Sets strategy, roadmap, investment priorities, and build-versus-buy decisions while managing a multidisciplinary team. Oversees marketing measurement, audience activation, experimentation, AI-powered automation, performance intelligence, SEO, ASO, GEO, and AI Search capabilities. Partners with Marketing, Product, Engineering, Data, Analytics, and AI/ML leaders to scale growth platforms across a global portfolio of consumer brands.

Build and improve enterprise data products across Match Group brands. Responsibilities include developing reliable ETL pipelines, data models, lakehouse solutions, and scalable data infrastructure; supporting on-premises systems and cloud expansion; translating stakeholder needs into deliverables; defining metrics and data views; maintaining data documentation; training analysts; and advocating for data quality, privacy, performance, and platform improvements.

Build and maintain internal HR-focused tools, dashboards, portals, web applications, reports, integrations, and workflow solutions. Use AI-assisted development tools, administer Databricks, support cloud and database integrations, document solutions, troubleshoot deployed tools, and coach non-technical stakeholders on AI-enabled workflows. Collaborate with product engineering to deliver secure, maintainable software in a hybrid internship with potential full-time conversion.

Lead complex machine learning projects end to end, from defining problems and optimization metrics through model development, evaluation, launch, and measurable outcomes. Design training data pipelines, production model systems, and online/offline evaluations. Collaborate across engineering, product, and global brand teams, applying expertise in recommendation, trust and safety, profile enhancement, generative models, and LLM-based systems.

Own machine learning projects end to end, from problem definition and data design through model development, evaluation, launch, and measurement. Define optimization targets and online/offline metrics, build models and training data pipelines, analyze experiments, and collaborate with product, engineering, and global brand teams. Work across recommendation, trust and safety, profile enhancement, cold start, generative models, and LLM applications.