Director, Product Management (AI)

TL;DR

Director, Product Management (AI): Owns MLOps and Agentic strategy for hirify.global’s Analytics Platform with an accent on ensuring the MLOps and Agentic infrastructure is robust and scalable while aligned with technology landscape. Focus on agentic workflows and AI/ML models governance.

Location: United States

Salary: $210,000 - $240,000 a year

Company

hirify.global empowers its customers to manage risk and unleash intelligence in their digital communications by detecting risk, reducing noise, uncovering insights, and applying compliant AI at scale.

What you will do

• Define and socialize the multi-year MLOps platform roadmap, spanning model training, evaluation, deployment, monitoring, and retirement across global regions.
• Architect product solutions for multi-region model inference with data residency constraints — ensuring our models operate compliantly across jurisdictions without sacrificing performance.
• Lead product strategy for agentic workflow reliability, including human-in-the-loop design patterns, tool-use governance, and failure mode handling.
• Champion model governance as a product capability not a compliance checkbox by embedding risk controls directly into the platform.
• Partner with Applied ML, Engineering, Product, Finance, and Procurement to ensure alignment on strategy, performance, and cost.
• Represent the MLOps and Agent Frameworks product domain to senior leadership, translating complex technical tradeoffs into strategic narratives that drive decision-making.

Requirements

• 8+ years of product management experience, with at least 3 years focused on ML infrastructure, MLOps platforms, or AI/ML product strategy.
• Experience partnering directly with Data Science/Applied ML and Engineering teams.
• Demonstrated experience shipping ML platform or AI infrastructure products in a regulated industry — financial services, healthcare, or similarly complex environments strongly preferred.
• Hands-on experience/ strong familiarity with MLOps tooling (e.g., MLflow, Kubeflow, SageMaker, Vertex AI, Databricks) and the ability to evaluate them critically as a product strategist.
• Working knowledge of LLM orchestration frameworks (e.g., LangChain, LlamaIndex, AutoGen, CrewAI) and the architectural tradeoffs they represent.
• Excellent communication skills and ability to work across product, engineering, and commercial teams.

Nice to have

• Experience with regulated industries or enterprise SaaS.
• Engineering or data science background
• Fluency in data residency concepts, multi-region cloud deployment patterns, and the engineering complexity they introduce for global AI products.
• Understanding of model risk management (MRM) frameworks and how they apply to modern ML and LLM systems in financial services.

Culture & Benefits

• Healthcare insurance, including medical, dental, and vision insurance, and a flexible spending account.
• Personal time off with a “take-what-you-need” time off policy as well as flexible work arrangements.
• hirify.global provides a 4% 401K match for which employees are fully vested on day one.
• Sabbatical program for employees after six years of service.
• Employee-recognition program.