Group AI Product Manager (Digital)

TL;DR

Group AI Product Manager (Digital): Lead digital product for a retail energy marketplace by designing, building, deploying, and scaling AI-native products and agentic workflows with an accent on marketplace economics, KPI ownership, and translating experimentation insights into product roadmaps. Focus on hands-on delivery of production-grade AI systems, building reusable operating-system capabilities, and guiding a small team to measurable business impact.

Location: Hybrid in New York, NY (Tuesday–Thursday in office) and fully remote on Mondays and Fridays.

Salary: $230,000-$260,000 cash compensation range + potential equity.

Company

hirify.global Home builds AI-enabled applications and a Growth Operating System to help partners drive growth across the home services ecosystem.

What you will do

• Serve as product lead for digital products, aligning product leadership, customer needs, and client strategy; develop business cases and assess feasibility, impact, and ROI.
• Translate strategy into actionable workstreams by defining sequencing, resourcing, and execution plans with cross-functional partners.
• Own outcomes and business impact, including P&L, communicating progress, ROI, risks, and opportunities; unblock the hardest tasks hands-on.
• Advance the Growth Operating System by building and deploying agentic workflows with the central Agentic team and turning delivery learnings into reusable capabilities.
• Manage and develop 2+ product managers with hands-on product and analytical support, clear expectations, regular feedback, and performance-driven development.

Requirements

• Hybrid schedule in New York, NY (in-office Tuesday–Thursday) with remote work on Mondays and Fridays.
• Experience driving AI/ML products end-to-end (concept through iteration) with ownership of outcomes and business impact.
• Hands-on experience with production-grade AI systems, including evaluating model behavior, running analyses (SQL, Python), building agents, and/or optimizing data pipelines.
• Strong technical and data foundation to collaborate with engineers and data scientists and translate complex technical concepts for non-technical stakeholders.
• Ability to identify where AI creates meaningful value across marketplace strategy and client ecosystems; comfortable solving complex analytical and technical problems in ambiguity.
• People leadership experience managing junior product managers (or adjacent roles) with direct responsibility for development and success.

Culture & Benefits

• Hybrid working model: in-office Tuesday–Thursday in NYC, remote Mondays and Fridays.
• Compensation includes a New York cash range plus potential equity.
• Focus on building reusable operating-system capabilities that improve over time.
• Cross-functional partnership with senior leaders to align priorities and drive key decisions.

Hiring process

• Interviews focused on product leadership, technical fluency with AI/ML and data, and experience delivering measurable business outcomes.
• Evaluation of hands-on examples across AI-native product development, agentic workflows, and KPI/P&L ownership.