Product Manager (AI)

TL;DR

Product Manager (AI): Designing and delivering agentic AI systems and platform capabilities for B2B companies, with an accent on translating complex AI capabilities into measurable business impact and customer problem-solving. Focus on collaborating on model evaluation strategies, prompt engineering approaches, and multi-agent orchestration patterns for production AI systems.

Location: Hybrid, based out of Tel Aviv, Israel. Occasional travel is required.

Company

hirify.global is an AI-powered retention engine providing CustomerOS platform solutions for customer success.

What you will do

• Lead the discovery, definition, and delivery of new AI-powered capabilities and platform features from ideation to launch.
• Partner with customers, GTM teams, and internal stakeholders to uncover insights and validate hypotheses.
• Collaborate with engineering and data science teams to design system architectures, data models, and build features grounded in machine learning.
• Translate complex AI and data concepts into clear, human-centered product experiences.
• Collaborate on model evaluation strategies, prompt engineering approaches, and multi-agent orchestration patterns for production AI systems.
• Define, prioritize, and communicate product requirements and success metrics aligned with strategic goals.

Requirements

• Bachelor’s Degree or equivalent experience in data science, analytics, or computer science.
• 3-5 years of product management experience in B2B SaaS environments.
• Hands-on experience building and shipping agentic AI systems or multi-agent workflows.
• Ability to write code to prototype features and partner effectively with engineering.
• Experience designing platform architectures, data models, and system integrations for enterprise SaaS products.
• Excellent communication skills to synthesize technical and business concepts for diverse audiences.
• Demonstrated success engaging directly with customers to gather feedback and build relationships.

Nice to have

• Experience designing agentic AI architectures, multi-agent orchestration, or AI reasoning systems.
• Experience in customer success technology, revenue intelligence, or relationship analytics products.
• Deep understanding of enterprise platform requirements including data governance, security models, and API design patterns.

Culture & Benefits

• Comprehensive benefits package including pension contributions and a Study Fund.
• Monthly lunch card allowance.
• Dedicated Recharge Holidays (one long weekend each quarter).
• Mentoring and career development opportunities.
• Guided by Human-First core values.