Sr. Technical Program Manager, Marketing Technology

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.

Marketing technology only works when the systems behind it are reliable, observable, and built to scale. As marketing becomes more data-driven, more automated, and more AI-enabled, we need someone who can move between technical details, cross-functional execution, and operational improvement without losing momentum.

The Sr. Technical Program Manager, Marketing Technology sits at the intersection of marketing systems, attribution, analytics, implementation quality, and AI-enabled workflows. You'll help own how we deliver MarTech initiatives across mobile, web, vendor integrations, and measurement systems - and you'll be hands-on enough to investigate when tracking, attribution, or data flows are not behaving as expected.

This is not a coordination-only TPM role. You'll translate business needs into clear plans, align teams around execution, debug implementation issues, and help build a more scalable, reliable marketing technology ecosystem.

This role is a part of the Paid Media & Growth team, alongside Marketing Analytics and Marketing Engineering, providing marketing solutions for the Match Group portfolio of brands.

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

You have 5+ years of experience in marketing technology, technical program management, marketing operations, analytics engineering, solutions engineering, or a related technical role

You understand mobile and web attribution systems and know how tracking implementations can break across platforms

You have hands-on experience with tools like AppsFlyer, Google Tag Manager, Meta, Google Ads, TikTok, Adjust, Branch, or similar marketing and measurement platforms

You can work directly with engineers, read technical implementation details, and investigate issues independently

You are comfortable debugging tracking, attribution, and measurement problems across multiple systems

You can turn ambiguous business needs into clear requirements, execution plans, and operational workflows

You are organized enough to drive complex cross-functional programs, but technical enough to know when the details matter

You are comfortable operating in fast-moving environments where priorities shift and systems are not always perfectly documented

You are curious about how AI and automation can make technical operations faster, smarter, and more repeatable

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.

The salary range for San Francisco, CA and Palo Alto, CA is $220,000-$250,000.

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.