Principal Product Manager, Data & Platforms (Remote)
United States

At Parfina, we create social-first ecosystems that help brands connect seamlessly with today’s modern consumer journey. Our integrated solutions combine strategy, talent, media, and technology with culturally relevant creativity to scale some of the fastest-growing digital brands in the world. We foster a fluid, creative, and growth-focused environment designed to empower you to apply your talents in a collaborative, open, and fast-paced culture. By staying at the forefront of digital innovation, we continue to drive our success and set the course for the future. At Parfina, we push boundaries, think beyond today, and deliver strategies that make an impact—and we’re only just getting started.

Our continued growth depends on exceptional people like you. While we consistently exceed expectations, we know that strong performance drives even higher standards. That’s why we’re looking for team members who are ready to rise to the challenge, contribute their best work, and help us keep raising the bar. Together, we can achieve more, innovate faster, and create meaningful results that propel both our clients and our team forward.

Position Overview:

Location: Remote / Work From Home
Job Type: Full-Time

Parfina is seeking a highly experienced Principal Product Manager to define and lead the vision, strategy, and execution of our core data platform, pipelines, and AI-ready infrastructure. This senior role is ideal for a technical product leader passionate about data architecture, scalability, AI systems, and building enterprise-level data solutions.

You will own the roadmap that enables Big Data, analytics, business intelligence, and advanced AI workloads — ensuring data is accessible, reliable, and scalable across the entire organization.

Responsibilities

• Own the product vision, strategy, and roadmap for Parfina’s data platform, including ETL/ELT pipelines, warehousing, and analytics infrastructure.

• Translate business and AI/ML requirements into clear technical user stories for engineering teams.

• Develop a deep understanding of data ingestion, transformation, storage, scalability, and consumption.

• Partner closely with the AI Science team to build scalable data solutions for tuning, evaluating, and deploying AI models.

• Act as the technical partner to data engineers and analysts, using strong SQL skills to validate models and ensure data integrity.

• Collaborate with Engineering, DevOps, Architecture, and AI teams to meet performance, reliability, and scalability requirements.

• Define, measure, and monitor KPIs such as data freshness, pipeline uptime, and query performance.

• Research and recommend new tools, technologies, and partners to optimize the data ecosystem.

• Work cross-functionally to align the data platform roadmap with company-wide technology initiatives.

• Thrive in a fast-paced, dynamic, agile environment.

• Stay current on modern data engineering, warehousing, and AI infrastructure trends.
  

Qualifications & Skills

• Bachelor’s degree in Computer Science, Data Science, Engineering, Business Analytics, or equivalent experience.

• 7+ years in technical product management, with 3–5+ years focused specifically on data platforms or data infrastructure.

• Expert-level SQL proficiency — capable of writing complex queries and performing data validations.

• Deep knowledge of modern data ecosystems, ETL/ELT frameworks (e.g., Airflow, dbt), and warehousing architecture.

• Snowflake experience is a major plus (streams, tasks, warehousing features).

• Strong background in agile product management and backlog planning (Jira required).

• Experience with GCP data services is a strong advantage.

• Excellent communicator able to translate complex technical concepts for diverse stakeholders.

• Understanding of Machine Learning concepts is a strong asset.
  

How to Apply

Send your cover letter and resume to: 📩 contact@parfina.co