About the role
Senior Paid Media Manager (Individual Contributor), Global Digital Advertising Team: Growth / Demand Generation Location: Remote / FL Type: Full-time, Individual Contributor Company Overview: TENEX is an AI-native, automation-first, built-for-scale Managed Detection and Response (MDR) provider. We are a force multiplier for defenders, helping organizations enhance their cybersecurity posture through advanced threat detection, rapid response, and continuous protection. Our team is composed of industry experts with deep experience in cybersecurity, automation and AI-driven solutions. Backed by leading investors, we are rapidly growing and seeking top talent to join our mission of revolutionizing the AI-Native MDR landscape. We’re a fast growing startup backed by industry experts and top tier investors led by Crosspoint Capital Partners and also backed by Shield Capital, DTCP (formerly Deutsche Telekom Capital Partners), Deepwork Capital, and the Florida Opportunity Fund. Seed round led by Andreessen Horowitz (a16z). As an early employee, you’ll play a meaningful role in defining and building our culture. Get in on the ground floor. We’re a small but well-funded team that just raised a substantial round – joining now comes with limited risk and unlimited upside
About
the role We're hiring a hands-on Senior Paid Media Manager to deliver the strategy and the execution of our global paid advertising across every digital channel: paid search, paid social, display, video, programmatic, syndication, and digital out-of-home. This is a builder-operator role for someone who thinks like a strategist but still lives in the ad accounts every day. You'll be the single point of accountability for how efficiently we turn ad spend into pipeline and revenue across multiple regions.
What you'll do Develop and execute the end-to-end ABM strategy for global paid media: paid search (Google, Microsoft/Bing), paid social (LinkedIn, Meta, Reddit, X), display, Adroll, YouTube/video, programmatic, and out-of-home (OOH/DOOH) . Build and manage sophisticated ABM and geo-targeting strategies, down to the region, city, and account level. Plan, allocate, and actively manage a multi-region annual media budget , continuously reallocating spend toward the channels, markets, and campaigns with the best return. Run full-funnel campaigns across multiple countries, languages, and time zones, from awareness through demand capture, tailored to regional and account-based buying behavior. Own the numbers: CPL, cost-per-pipeline-dollar, ROAS, and blended efficiency , and report performance in the language the business cares about (pipeline and revenue, not just clicks). Build and manage measurement infrastructure: conversion tracking, GA4, Google Tag Manager, UTM governance, and last-touch attribution feeding back to the CRM. Support ABM and intent-driven targeting, integrating signals from platforms like Adroll, Apollo into audience and geo strategy. Design and run a continuous experimentation program across creative, audience, bid strategy, geo, and landing page testing, with clear hypotheses and readouts. Partner cross-functionally with Product Marketing, RevOps, and manage any external agencies or media partners. Stay ahead of platform, privacy, and measurement changes (consent mode, cookie deprecation, AI-driven bidding) and adapt the program accordingly. What you'll bring 6+ years managing paid media in-house or at an agency, with clear ownership of B2B SaaS demand generation programs. Demonstrated experience personally managing annual paid media budgets of $100K+ Deep, current, hands-on expertise across Adroll, Google Ads, LinkedIn Ads, and Meta , plus working command of display, video, and programmatic. Experience with OOH digital. Proven track record running global or multi-region campaigns with advanced geo-targeting . You understand the operational reality of localization, regional CPCs, and time-zone-spread launches. Fluency with last-touch attribution and conversion tracking, and the judgment to know what the data is and isn't telling you. Strong analytics chops: GA4, Google Tag Manager, Looker/Tableau, and advanced Excel/Sheets, Claude . You're comfortable pulling and interpreting your own data. Has leveraged AI to increase ad efficiencies, reporting, and creative pipeline. You actively use AI tooling to optimize bidding and targeting, accelerate reporting, and scale creative production and continue to research new AI tools, processes and technologies. Experience building the data foundation for paid media: capturing first-party data, enriching it with third-party and intent signals, and structuring audience segmentation to drive personalization, lookalikes, and retargeting. Excellent written and verbal communication. You can turn performance data into a decision a leader can act on. Recruiter screening guide (internal, not for the posting) Success in the first 6 months 30 days: Full audit of every active account, budget, geo-targeting setup, and tracking, plus a prioritized quick-wins list. 90 days: Reallocated budget behind the highest-efficiency channels/regions and a live experimentation roadmap. 6 months: Measurable improvement in cost-per-pipeline-dollar and a defensible, well-instrumented global paid program. Use these to qualify inbound quickly: Must-have knockout questions "Walk me through the largest annual paid media budget you've personally owned." Qualify only if genuinely $100K+/year under their direct control, not team-aggregate. "Which ad platforms have you personally been in the account on in the last 12 months?" Look for Google Ads + LinkedIn/Meta at minimum, ideally plus programmatic/display and OOH. "How have you used AI in your paid workflow?" Look for concrete use: automated bidding/targeting, AI-assisted reporting/analysis, and AI-accelerated creative production, not just "I've tried ChatGPT." "Have you run campaigns across more than one country/region, and how did you handle geo-targeting?" Probe for real localization/multi-currency/time-zone and account- or city-level geo experience. "How do you measure success?" Strong candidates lead with pipeline, CAC, LTV:CAC, cost-per-pipeline. Weak ones lead with CTR/CPC/impressions. Green flags: talks in unit economics; can explain a specific reallocation or geo decision and its result; owns their own reporting; has real AI-in-workflow examples. Yellow/red flags: only e-commerce/DTC background; only ever managed one channel; budget was "team" budget not theirs; AI use is vague or purely experimental. Suggested screen order: budget scale, then channel breadth, then AI fluency, then global/geo scope, then metrics fluency.