Manager, Engagement Management, Scale (AI)

Location: On-site in New York City, San Francisco, or London

Salary: $150,000–$200,000 base annually before variable compensation for NYC and San Francisco, plus variable compensation, equity, benefits, and perks.

Company

hirify.global is an AI search marketing platform providing analytics, intelligence, and agent automation for brands navigating AI-driven search.

What you will do

• Lead, coach, and develop Engagement Managers serving scaled customer segments.
• Own retention, adoption, and expansion metrics across hundreds and thousands of SMB and mid-market accounts.
• Design and evolve scalable engagement playbooks, lifecycle motions, triggers, and intervention systems.
• Partner with Product, Engineering, and Data to improve automation, tooling, and roadmap decisions.
• Define data-driven operating practices for prioritizing, intervening, and expanding across accounts.
• Recruit and onboard talent while building a culture of systems thinking, customer empathy, and continuous iteration.

Requirements

• 6–8+ years of experience in Customer Success, including meaningful experience in digital, scaled, or programmatic CS.
• 1–2+ years of experience managing or mentoring a team.
• Experience designing health scoring, segmentation, lifecycle automation, intervention playbooks, in-app flows, digital QBRs, or churn-save automations.
• Hands-on experience using AI or LLMs to prototype agents, generate content, analyze accounts, or improve internal processes.
• Experience running live one-to-many engagements such as webinars, onboarding cohorts, communities, or academies.
• Strong data instincts, technical literacy, executive communication, and experience with customer-facing copy, prompts, agent instructions, facilitation guides, and playbooks.

Nice to have

• SQL or lightweight scripting experience.
• Deep knowledge of AI search or adjacent marketing and SaaS categories.
• Experience in search or performance marketing.

Culture & Benefits

• On-site work in a fast-moving environment focused on speed, iteration, and meaningful impact.
• Competitive total compensation with variable compensation and equity.
• Full benefits and additional perks.
• Opportunity to shape operating practices for a rapidly scaling AI search platform.