Senior Product Manager

Overview

DataHub is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa. Innovated jointly with a thriving open-source community of 13,000+ members, DataHub's metadata graph provides in-depth context of AI and data assets with best-in-class scalability and extensibility. The company's enterprise SaaS offering, DataHub Cloud, delivers a fully managed solution with AI-powered discovery, observability, and governance capabilities. Organizations rely on DataHub solutions to accelerate time-to-value from their data investments, ensure AI system reliability, and implement unified governance, enabling AI & data to work together and bring order to data chaos.

Responsibilities

• Define the vision, goals, strategy, tactics, and roadmap for our suite of products
• Study, research, and understand the data ecosystem, with a specific focus on user requirements, market potential, and competitive landscape
• Serve as the accountable owner for delivering measurable business and customer outcomes; working closely with designers to create intuitive, elegant user experiences for technical and non-technical personas
• Create tight feedback loops with customers who are depending on DataHub to run their data environments so that the product evolves toward the needs of these stakeholders
• Execute cross-functionally to launch new product experiences, improve existing features, test effectiveness of workflows, and facilitate GTM motions
• Inspire teams of people to achieve great things together, while also tying the roadmap within a domain to broader product strategy goals and company goals

Requirements

• 4+ years of experience in product management or related function
• Previous experience working on Products with PLG or self-serve growth motion
• Deeply quantitative and enjoy rolling up your sleeves and exploring the data and connecting it to strategic initiatives
• Excellent written and verbal communicator

Qualifications

• Experience in the data space, using or building data tools

Skills

• Previous experience working with the modern data stack (Fivetran, Snowflake, BigQuery, Redshift, Spark, dbt, Looker, PowerBI, etc)
• Previous experience working with data catalogs (Collibra, Alation) and metadata systems
• Comfortable discussing, explaining and reasoning about data catalog best practices and expansion opportunities

Benefits and Perks

• Competitive Compensation
• Equity for everyone
• Remote Work
• Comprehensive health coverage
• Flexible savings accounts
• Support for every path to parenthood
• Time off that works for you