Performance Marketing Lead

Description We're hiring a Performance Marketing Lead to own paid acquisition end-to-end. You'll run the channels, write the copy, build the landing pages, and defend your numbers in weekly pipeline reviews with the founders. No team underneath you ? you'll build AI agents to handle the ops that don't need a human. We don't need someone to set up from scratch. We need someone to own, optimize, and scale what's already working. OTE is $110?135K, and you'll know your bonus math on day one.

About Us Bolder Apps is a product development studio that partners with US-based startups and established companies to build and scale innovative digital products. We specialize in AI-powered development, full-cycle product creation, and engineering team augmentation. Our mission: build bolder, faster, and smarter.

Our Culture & Values (read before applying) We move fast. We take ownership. We work with AI, not against it. And we expect everyone to bring ideas, not wait for instructions. There are no daily checklists, no micromanagement, and no corporate politics. Instead, you'll have autonomy, trust, and a team that's always ready to help you grow. At Bolder Apps, impact matters more than titles, and curiosity matters more than seniority. If you want a place where you can level up fast and actually see your work making a difference ? welcome aboard.

• Own all paid acquisition channels ? directory listings, pay-per-lead programs, paid search, paid social ? and their ROI
• Track CAC, LTV, and payback period for every paid source; report against pipeline and revenue targets weekly in front of the founders
• Build and run landing page tests to improve conversion on paid traffic
• Manage the experimentation budget ? propose the test, ship it, kill it or scale it based on data
• Build AI agents to automate bid management, creative iteration, and reporting so the repetitive ops don't live on your plate
• Take over an active HubSpot instance with lead source attribution and contact-level qualification tracking; improve it
• Operate across a modern measurement stack (HubSpot, GA4, GSC, custom MCP integrations) with a defined ICP and a backlog of experiments ready to ship

• Paid acquisition track record. 3+ years running paid for B2B services, agencies, or high-ticket SaaS. Bring the dashboards, the before/after screenshots, and the actual numbers ? spend, leads, revenue, time period. Assertions without evidence don't move the conversation forward.
• Budget discipline. You've managed five- and six-figure annual ad budgets and spent like it was your own money. You know the difference between a test worth running and a budget burn.
• Attribution skepticism. You distrust attribution data before you trust it. You understand the gaps in last-click, the limits of GA4, and why a "good" ROAS number sometimes lies. You don't optimize for what's easy to measure.
• HubSpot and reporting fluency. You can build the pipeline report yourself. HubSpot, GA4, ad platform dashboards ? you pull the data, spot the problem, and come to the weekly review with a point of view, not a status update.
• AI-native operator. You've built workflows around Claude, automation platforms, or similar tools ? not as experiments, as daily infrastructure. Bid management, creative testing, reporting pipelines. You know which parts of the job the agent can own.
• Hands-on. You write the ad copy. You build the landing page. You do not wait for a designer or a copywriter to unblock you.
• Proactive communicator. Async, in writing, with numbers. When a channel is underperforming, you say so before the pipeline review ? not during it.

• Base $70?90K depending on experience, plus a quarterly performance bonus tied to qualified pipeline and blended CAC targets.
• OTE $110?135K. Bonus math is defined on day one ? no mystery comp.
• $10?25K/month in paid media spend under your direct control, with budget that grows with proven ROI.
• Direct founder access ? leadership is in the pipeline review every week, not in a boardroom.
• Fully remote, EST/CST hours, async-friendly.
• Clean data and a working measurement stack from day one ? no 0-to-1 setup tax.
• Tooling budget for AI platforms and automation infrastructure.