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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Program Manager, Marketing Technology - **Company:** Lever, Inc. - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Salary:** $200,000.0 - $230,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Google AdWords, Artificial Intelligence, Data Analysis, Cloud Computing, Data Systems, Data Warehousing, Software Debugging, Mobile Application Software, Conversion Tracking, SQL Databases, Google Tag Manager, Grafana, Backend, Event Driven Architecture - **Published:** June 10, 2026 - **Apply:** https://jobs.lever.co/matchgroup/44f43bbf-9483-4a65-a738-5596f6770880 ## About the Role * 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, * 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 ## Description * 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 Tracking, Attribution & Measurement * 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 MarTech Operations & AI-Enabled Workflows * 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 ## Related Videos - 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