Paid Growth Marketer (AI)

Location: San Mateo, United States

Salary: $160,000–$190,000 USD per year, plus equity

Company

hirify.global provides an AI infrastructure platform for building, training, and serving specialized AI models across text, image, embedding, audio, and multimodal workloads.

What you will do

• Own paid strategy and execution across search, social, display, OOH, and developer-focused channels.
• Manage and optimize a multi-million-dollar advertising budget with accountability for efficiency and attributable pipeline.
• Build attribution and measurement frameworks connecting marketing spend to pipeline.
• Lead structured paid experimentation from hypothesis and execution through readout and iteration.
• Partner with Sales, Product, and Finance to align campaigns with launches, sales cycles, and ICP targeting.
• Track advertising ecosystem changes and incorporate them into the paid marketing roadmap.

Requirements

• 6+ years of hands-on paid marketing experience, including ownership of multi-million-dollar annual budgets.
• Experience driving measurable, efficient growth for B2B SaaS or developer-facing products.
• Strong analytical skills, including the ability to pull data and communicate insights concisely.
• Experience building and running structured experimentation programs with cross-functional teams.
• Active use of AI tools to accelerate marketing work.
• Clear communication skills and the ability to align Sales, Product, and leadership stakeholders.

Nice to have

• Experience marketing developer tools, APIs, or infrastructure products.
• Familiarity with the API inference provider ecosystem.
• Experience building or evolving marketing measurement infrastructure.

Culture & Benefits

• Lean, high-impact marketing environment with direct ownership of growth programs.
• Meaningful budget ownership and the opportunity to build programs from the ground up.
• Collaboration with engineers, researchers, and operators working on AI infrastructure.
• Competitive salary, equity, comprehensive benefits, and long-term upside.
• Work on low-latency inference, scalable model serving, and other AI infrastructure challenges.