Principal Product Manager - Data & AI

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.