Match Group

Business Development Rep

• Manage a book of business across several markets, owning end-to-end relationships with event hosts whose recurring, relevant events are listed on Tinder
• Prospect and close net new partnerships with local venues, event creators, and organizers using scaled, repeatable sales approaches
• Secure co-promotion agreements with event hosts to drive mutual visibility and value for Tinder users
• Build and iterate on market-specific playbooks that systematize how we source, pitch, and onboard event partners — so the model scales city by city
• Leverage AI tools to accelerate outreach, event discovery, lead scoring, and relationship management across your book of business
• Develop deep knowledge of local event scenes to ensure Tinder's supply stays fresh, trendy, and brand-aligned
• Collaborate with the Sr. Manager and cross-functional teams on pipeline strategy, market expansion, and partner performance
• Track and report on KPIs including pipeline volume, conversion rates, market coverage, and partner retention

Business Development Manager, Events Program

Artificial Intelligence

• Own the AI strategy for dating recommendations across the full journey, from first candidate to last date.
• Build the frameworks to reason rigorously through ecosystem tradeoffs where a win for one cohort reshapes another, and set a vision ambitious enough that the org wants to chase it.
• Partner closely with other product groups to integrate AI capabilities across the product and shape roadmap decisions you do not own.
• Communicate honestly with executive leadership on strategy, tradeoffs, and progress.
• Own budget and investment strategy for the area, and represent Hinge externally through writing, talks, and community.
• Steer real-time, personalized recommendation systems that reduce ratings per exchange and drive better matches.
• Bring Generative AI to dating outcomes in ways that are differentiated, authentic, and grounded in how people actually connect.
• Hold the bar on scalability, resilience, and rigorous evaluation for both performance and bias.
• Structure and scale the team for both deep execution and long-horizon bets.
• Develop emerging leaders, invest in succession across IC and leadership tracks, and build a culture where rigor, inclusion, and performance reinforce one another.
• Drive predictable delivery, balancing urgent risk response with long-term platform investments. Establish scalable operating rhythms for planning, technical reviews, and incident learnings.

Director of AI, Dating Outcomes

QA Engineer

• Conduct audits completed by internal specialists and vendor agents for all lines of business - including email support and moderation. Also conduct other audit types as requested - RCA, Targeted Audits, etc.
• Coach internal specialists and vendor Team Leads and graders on behaviors, workflows, and processes
• Create, maintain, and update rubrics that effectively measure agent performance
• Analyze data to determine how each line of business is performing, as well as present this data to key stakeholders
• Identify areas of opportunity for the team and business through trend analysis
• Work closely with key stakeholders, as well as our internal and external partners
• Build and maintain relationships with our vendor teams to ensure KPIs are being met as well as ensuring accountability when needed
• Execute projects while also ensuring all weekly audits are completed

Quality Assurance Analyst – Global Operations

Data Scientist

• Collaborate with a cross-functional team of product managers, researchers, designers and engineers to develop and iterate on product features and strategy
• Translate product objectives to data science problems and vice versa
• Apply statistical inference to draw rigorous conclusions from data, especially through designing and analyzing A/B tests and working on strategic insights that drive product strategy
• Use a combination of exploratory analysis and data mining techniques to generate actionable insights about user experience and user problems
• Collaborate with AI team to develop, iterate, and test production models (e.g., targeting)

Senior Data Scientist, Matching

User Researcher

• Define and drive the UX research vision, strategy, and roadmap for Dating Outcomes and Platform — prioritizing the questions that need to be answered before roadmaps are locked
• Lead, coach, and grow a team of seasoned, experienced researchers, setting a high bar for craft, rigor, and impact
• Operate as a strategic partner through synthesizing UXR and DS insights into POVs that shape product vision and strategy and inform executive decisions
• Represent Dating Outcomes and Platform insights clearly to senior leadership and cross-functional stakeholders, communicating roadmaps, tradeoffs, and product implications
• Drive cross-team synthesis and frameworks that unify insights across teams and product groups
• Identify structural and organizational gaps; proactively design ways of working that improve team velocity, cross-functional collaboration, and research quality
• Build a team culture grounded in curiosity, rigor, deep user empathy – and fun!

Director of UX Research, Dating Outcomes – Platform

Technical Program Manager

• Lead end-to-end delivery of marketing technology initiatives across mobile, web, attribution, analytics, and data systems
• Translate marketing and business needs into clear implementation plans, technical requirements, workflows, and rollout plans
• Partner with Marketing, Product, Engineering, Analytics, and vendor teams to keep complex MarTech work moving
• Drive prioritization, execution tracking, QA coordination, launch readiness, and stakeholder communication
• Help make MarTech projects easier to scope, easier to ship, and easier to support after launch
• Perform troubleshooting and evaluate outcomes post launch to ensure correctness of implementation
• Support and troubleshoot mobile and web attribution implementations across platforms like AppsFlyer, Meta, Google Ads, TikTok, and other marketing vendors
• Investigate issues across SDK implementations, server-to-server integrations, event pipelines, deep linking, consent flows, conversion discrepancies, and attribution gaps
• Validate tracking implementations across iOS, Android, web, and backend systems
• Partner with Analytics and Data teams to improve measurement quality, governance, and consistency
• Help ensure marketing and analytics teams can trust the data they use to make decisions
• Support and improve marketing technology infrastructure across client-side tracking, server-side tagging, APIs, vendor integrations, campaign tracking frameworks, and operational tooling
• Build documentation, implementation standards, QA checklists, and troubleshooting playbooks that make the ecosystem easier to operate
• Use AI tools and automation to improve investigation workflows, reduce manual operational overhead, and speed up technical troubleshooting
• Help identify opportunities for better monitoring, internal tooling, and more resilient MarTech operations
• Make marketing technology systems more scalable, observable, and reliable over time

Senior Technical Program Manager, Marketing Technology

Communications

• Own the development, implementation, and evaluation of internal communication initiatives designed to motivate and align employees with the group’s vision, strategy, and culture.
• Research, develop, write, edit, and track for approvals a wide range of internal and executive communications.
• Content includes presentations, scripts (in-person and video), key messages, talking points, briefings, articles, summaries, thought leadership, and executive reports.
• Act as a key contributor and/or owner of various internal communications activities (all hands meetings, etc), channel management, and support for assigned client groups.
• Develop content that is clear, concise, and compelling for a diverse range of audiences and situations.
• Write with the personality, tone, and voice specific to each group and/or executive.
• Develop communications that are skillfully designed to educate and engage key stakeholders. Research and analyze all necessary information to reach company and department objectives; identify issues, interpret data, and solve problems.
• Proactively provide counsel to leaders to inform/provide perspective on internal communication needs.
• Participate in a positive and proactive manner on project teams to accomplish goals and communicate effectively with team members and clients with regular status updates.
• Improve processes and procedures when appropriate to enhance workflow and service delivery.

Internal Communications Manager

Machine Learning Engineer

• Translate product and business problems into clear machine learning problems with measurable success criteria
• Build, train, evaluate, and improve production machine learning models
• Partner with software engineers and ML infrastructure engineers to deploy models and improve reliability, scalability, and performance in production
• Design and analyze offline evaluations and online experiments to understand model impact
• Contribute to feature engineering, data preparation, training pipelines, and model monitoring
• Write clean, maintainable, production-quality code and participate in design and code reviews
• Communicate technical findings, trade-offs, and recommendations clearly to both technical and non-technical partners