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Principal Product Manager - Data & AI

WEX

Chicago (IL)

Remote

USD 150,000 - 200,000

Full time

Today
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Job summary

An innovative company seeks a forward-thinking Product Manager to lead AI initiatives within their Data & AI team. This role is pivotal in shaping the future of intelligent systems, from traditional machine learning to advanced agentic AI. You will collaborate with cross-functional teams to define product strategy, prioritize features, and deliver scalable AI solutions that address complex challenges for both internal and external stakeholders. If you have a strong background in AI product management and a passion for transforming technical possibilities into business value, this opportunity is perfect for you.

Qualifications

  • 4+ years in data/AI product roles with deep knowledge of AI/ML lifecycle.
  • Experience launching production-grade AI products at scale.

Responsibilities

  • Lead vision and execution for AI/data-powered products and services.
  • Drive responsible AI practices ensuring transparency and fairness.

Skills

Product Management
Machine Learning
AI Development
Data Governance
Business Acumen
Communication Skills

Tools

LangChain
CrewAI
Snowflake
BigQuery
Databricks
Airflow
dbt
Kafka

Job description

Location:
Remote, with a requirement to reside within 30 miles of one of the following locations: Portland, ME; Boston, MA; Chicago, IL; Washington, DC; Dallas, TX; or San Jose, CA.

We’re looking for a forward-thinking, highly technical Product Manager to join our Data & AI team. This is not your traditional product role—this is a high-impact opportunity to shape the future of AI within our organization. You will lead the end-to-end product lifecycle of intelligent systems, from traditional machine learning to next-generation agentic AI (e.g., autonomous agents, co-pilots, and decision-making bots).

As a key member of a cross-functional tiger team—including design, customer product management, data science, and data engineering—you’ll be responsible for defining product strategy, prioritizing features, and driving the delivery of AI capabilities that solve complex problems for both internal stakeholders and external customers.

What You’ll Do:

  • Lead the vision, strategy, and execution for AI/data-powered products and services.
  • Build capabilities leveraging traditional ML, LLMs, RAG pipelines, and agentic AI frameworks (e.g., LangChain, CrewAI).
  • Partner closely with engineering, data science, design, and business teams to define and deliver scalable AI products.
  • Translate technical possibilities into business value—clearly and persuasively.
  • Stay ahead of industry trends and translate new developments into competitive product capabilities.
  • Own key success metrics such as data reliability, model performance, automation ROI, and time-to-value.
  • Drive responsible AI practices, ensuring transparency, fairness, and explainability in all deployed models.
  • Act as a thought partner on architecture, data governance, and intelligent automation strategies.

What You Bring:

  • 4+ years of experience in data/AI-intensive product roles or technical domains.
  • Deep knowledge of the AI/ML product development lifecycle—from ideation through model deployment and monitoring.
  • Familiarity with LLMs (e.g., GPT, Claude, Gemini), RAG techniques, vector databases, and orchestration frameworks.
  • Experience working with agentic AI systems or experimentation in multi-agent setups.
  • Proven ability to launch production-grade AI products at scale.
  • Comfort with cloud data platforms (e.g., Snowflake, BigQuery, Databricks), orchestration tools (e.g., Airflow, dbt), and streaming technologies (e.g., Kafka).
  • Strong business acumen and customer empathy; ability to ruthlessly prioritize based on impact.
  • Exceptional communication skills, with a talent for demystifying AI complexity to stakeholders across the org.
  • Background in data product management: pipelines, ingestion, modeling, governance, and APIs.
  • A product mindset—even if your background isn’t formally in product management.
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