Product Manager, Enterprise AI Workflows

FactualIQ

Tohatchi (NM)

Hybrid

USD 110,000 - 170,000

Full time

3 days ago
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Job summary

FactualIQ is seeking a Product Manager to design, develop, and deliver AI-powered workflows on the company’s Decision Engine. You will translate complex decision and data requirements into software specifications and drive hands-on configuration for production deployment.

You’ll work with engineering, data science, and client success teams to ensure secure, reliable solutions that align with enterprise decision-making. This role blends strategy and delivery across client engagements.

Qualifications

  • Bachelor’s degree in a related field or equivalent practical experience.
  • 5+ years in software product management or client-facing roles.
  • Experience with AI-powered workflows and multi-agent architectures.
  • Hands-on with AI/ML tech including LLMs, RAG, and agentic systems.
  • Strong ability to translate workflows into product requirements and plans.

Responsibilities

  • Design, develop, and deliver AI-powered workflows built on FactualIQ’s Decision Engine.
  • Translate client needs into software product specifications and configurations.
  • Collaborate with engineering, data science, and client success teams.
  • Define requirements for configurations, tools, and workflows.
  • Ensure solutions meet security, reliability, and enterprise standards.

Skills

Communication
Stakeholder management
AI/ML concepts
Data pipelines
API integrations
Analytical skills

Education

Bachelor's degree in Information Systems, Computer Science, Engineering, Business, or related field

Tools

Python
SQL
LangChain
Vector databases
Prompt engineering frameworks
APIs

Job description

FactualIQ is seeking a Product Manager to design, develop, and deliver AI-powered workflows on the company’s Decision Engine. You will translate complex decision and data requirements into software specifications and drive hands-on configuration for production deployment.

You’ll work with engineering, data science, and client success teams to ensure secure, reliable solutions that align with enterprise decision-making. This role blends strategy and delivery across client engagements.

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