Sr. Technical Program Manager, Marketing Technology

Match Group•Los Angeles, CA

3d•$200,000 - $250,000•Onsite

About The Position

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.

Requirements

5+ years of experience in marketing technology, technical program management, marketing operations, analytics engineering, solutions engineering, or a related technical role
Understand mobile and web attribution systems and know how tracking implementations can break across platforms
Hands-on experience with tools like AppsFlyer, Google Tag Manager, Meta, Google Ads, TikTok, Adjust, Branch, or similar marketing and measurement platforms
Can work directly with engineers, read technical implementation details, and investigate issues independently
Comfortable debugging tracking, attribution, and measurement problems across multiple systems
Can turn ambiguous business needs into clear requirements, execution plans, and operational workflows
Organized enough to drive complex cross-functional programs, but technical enough to know when the details matter
Comfortable operating in fast-moving environments where priorities shift and systems are not always perfectly documented
Curious about how AI and automation can make technical operations faster, smarter, and more repeatable

Nice To Haves

Experience with server-side tagging, SQL, APIs, mobile app event instrumentation, deep linking, MMP integrations, or marketing data pipelines
Familiarity with AI tooling, internal automation, or AI-assisted investigation workflows
Experience supporting large-scale paid marketing ecosystems
Exposure to cloud infrastructure, data warehouses, event-driven architectures, or observability tools
Experience working with dating, subscription, mobile app, or performance marketing businesses

Responsibilities

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