Product Manager: Data Products (AI)

TL;DR

Product Manager: Data Products (AI): Lead the strategy and development of data-driven products that accelerate pre-sales success by transforming complex datasets into insights and automated demonstrations with an accent on AI integration, data pipelines, and scalable tools. Focus on designing analytical systems, fine-tuning LLMs, and building self-service capabilities for sales teams to drive revenue growth and reduce time-to-value.

Location: United States, fully remote

Company

Cutting-edge AI company building data products at the intersection of product, data science, and engineering.

What you will do

• Define and execute product strategy for data solutions enhancing pre-sales performance.
• Lead development of automated systems for prospect data collection, processing, and integration at scale.
• Streamline workflows and automate tasks using LLMs and intelligent agents.
• Oversee creation of analytical tools, dashboards, and reporting for data-driven decisions.
• Collaborate to fine-tune AI models and align priorities across engineering, data, and sales teams.
• Drive product improvements by analyzing user behavior and empowering sales with self-service tools.

Requirements

• 5+ years in Product Management, ideally B2B SaaS, data platforms, or AI
• Strong technical understanding of data pipelines, ETL, and JavaScript ecosystems
• Proficiency in data analytics tools and defining dashboard/reporting requirements
• Experience leveraging large datasets for product decisions and innovation
• Proven collaboration with sales and customers to translate tech into business value
• Strong communication and stakeholder management across technical/non-technical audiences
• Ability to thrive in fast-paced, collaborative, technical environments

Nice to have

• Familiarity with SQL, Python, or similar for data exploration

Culture & Benefits

• Competitive compensation with equity
• Unlimited PTO with encouragement for meaningful breaks
• Fully remote with home office stipend and high-quality equipment
• Comprehensive health coverage fully sponsored
• Annual learning and development budget
• Parental leave and inclusive culture focused on innovation