Product Manager (AI Solutions)

TL;DR

Product Manager – AI Solutions (AdTech): Lead the development of AI-powered tools and products for media and advertising with an accent on strategy, internal enablement, and client-facing innovations. Focus on defining roadmaps for targeting, analytics, and operations, launching predictive models, creative automation, and real-time ROI tools.

Location: Remote

Salary: From $140,000 to $175,000 per year

Company

hirify.global is a leading provider of advertising services and business intelligence platform for social advertising, serving Fortune 2000 brands and agencies with data-driven insights across major platforms.

What you will do

• Define and own the product roadmap for AI initiatives aligned with business goals, prioritizing opportunities in targeting, creative, analytics, planning, and operations.
• Build and scale internal AI tools for campaign planning, audience modeling, performance forecasting, and creative automation.
• Launch client-facing AI products like predictive targeting, AI-generated ad creatives, dynamic optimization, and real-time ROI measurement.
• Collaborate with engineering, data science, sales, ad ops, and strategy teams to translate AI concepts into product requirements and drive development via agile.
• Conduct market intelligence on AI trends in media, advertising, and martech to identify differentiation opportunities.

Requirements

• 3-5 years of product management experience, with at least 2 years in AI, data-driven products, or ad tech.
• Strong technical background with AI/ML systems, experience taking AI/ML products from experimentation to production.
• Understanding of machine learning concepts and experience using AI in media, martech, or ad tech.
• Proven cross-functional collaboration in large organizations, knowledge of software development lifecycle and agile.
• Experience in discovery, usability testing, and delivering internal tools and client-facing products.
• Strong communication skills for technical and commercial teams.

Nice to have

• Experience in media, audio, or ad tech, especially in startup-like environments.
• Familiarity with LLMs, generative AI (text/audio/video), recommendation engines, NLP.
• Knowledge of digital advertising metrics like lift studies and multi-touch attribution.
• Background in computer science, data science, or technical field.

Culture & Benefits

• Drive ambitious transformation of a major US media company into a multi-channel platform.
• Shape AI usage to modernize legacy models and unlock new revenue streams.
• Work with passionate teams at the intersection of technology, media, and advertising in a stable, innovative environment.