Principal Product Manager - Data & AI

WEX; Washington (District of Columbia); Remote; USD 150,000 - 200,000; Full time

Job summary

An innovative organization is seeking a highly technical Product Manager to join its Data & AI team. This role offers a unique opportunity to shape the future of AI by leading the end-to-end product lifecycle of intelligent systems. You will collaborate with cross-functional teams to define product strategy and prioritize features that deliver AI capabilities to solve complex problems. The ideal candidate will have a strong background in data and AI product management, with the ability to translate technical possibilities into business value. If you are passionate about AI and eager to make a significant impact, this role is for you.

Qualifications

• 4+ years in data/AI product roles with deep knowledge of the AI/ML lifecycle.
• Ability to launch production-grade AI products and translate tech into business value.

Responsibilities

• Lead vision and strategy for AI/data-powered products and services.
• Drive responsible AI practices and ensure transparency in deployed models.

Skills

Data/AI Product Management

Machine Learning

AI Frameworks

Cloud Data Platforms

Communication Skills

Business Acumen

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:

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

What You Bring:

1. 4+ years of experience in data/AI-intensive product roles or technical domains.
2. Deep knowledge of the AI/ML product development lifecycle—from ideation through model deployment and monitoring.
3. Familiarity with LLMs (e.g., GPT, Claude, Gemini), RAG techniques, vector databases, and orchestration frameworks.
4. Experience working with agentic AI systems or experimentation in multi-agent setups.
5. Proven ability to launch production-grade AI products at scale.
6. Comfort with cloud data platforms (e.g., Snowflake, BigQuery, Databricks), orchestration tools (e.g., Airflow, dbt), and streaming technologies (e.g., Kafka).
7. Strong business acumen and customer empathy; ability to ruthlessly prioritize based on impact.
8. Exceptional communication skills, with a talent for demystifying AI complexity to stakeholders across the org.
9. Background in data product management: pipelines, ingestion, modeling, governance, and APIs.
10. A product mindset—even if your background isn’t formally in product management.