Product Manager - Genius AI Platform (AI)

Location: Remote in Charlotte, North Carolina, United States

Company

hirify.global provides payment technology and software solutions for buyers, sellers, financial institutions, and cardholders worldwide.

What you will do

• Define the multi-year vision, roadmap, economics, and default adoption path for a shared AI platform.
• Lead build-vs-buy-vs-partner decisions and manage cloud and model vendor relationships, commercial terms, model portfolios, routing, and cost per interaction.
• Own platform building blocks including orchestration, tools, workflows, connectors, agents, interfaces, schemas, permissions, context, memory, identity, and tenant data access.
• Build evaluation practices, guardrails, responsible-AI controls, quality and production targets, incident playbooks, and rollback processes for a regulated payments environment.
• Personally build and demo AI prototypes within one to two weeks, documenting evaluation results, cost, latency, and productionization requirements.
• Drive adoption through platform reviews with architecture, security, legal, and risk; align senior stakeholders and mentor product managers as an individual contributor leader.

Requirements

• 8+ years of product management experience, including meaningful experience with technical, platform, or developer-facing products.
• Proven experience shipping AI-powered products to production, including generative AI or agentic capabilities used by real customers.
• Strong understanding of production LLM systems, including non-determinism, failure modes, and quality, cost, and latency trade-offs.
• Hands-on experience personally building and demoing working AI prototypes.
• Working proficiency in Python or a similar language, SQL, APIs, and JSON, with the ability to read code, logs, and evaluation results.
• Practical experience with at least one major cloud AI platform.
• Experience designing AI evaluation and guardrail approaches and using them for release decisions.
• Ability to align senior stakeholders in a matrixed organization and write clearly for executives and engineers.
• Bachelor's degree in computer science, engineering, a quantitative field, or equivalent practical experience.

Nice to have

• Experience in payments, fintech, commerce, or B2B SaaS.
• Experience running multi-tenant AI in regulated environments such as PCI DSS, SOC 2, or GDPR/CCPA.
• Experience shipping production AI actions with confirmation, undo, and audit controls.
• Experience building or governing tool and integration catalogs with publishing and versioning standards.
• Experience with real-time or conversational AI, on-device or edge AI, or multi-cloud AI architectures.
• Patents, open-source contributions, publications, talks, or relevant cloud and AI certifications.

Culture & Benefits

• Full-time employment as an individual contributor leadership role.
• Equal opportunity employment with reasonable accommodations during hiring and employment.
• United States employees receiving a conditional offer must undergo a drug test.