Principal Product Manager – Vertical Data

This is a fully remote position, open to applicants in United States.

📋 Description

• Manage vertical datasets throughout their lifecycle, encompassing sourcing, development, entity resolution, delivery, pricing, packaging, and revenue generation.

• Establish audience definitions, coverage parameters, accuracy benchmarks, quality standards, and criteria for completion of datasets.

• Collaborate with data engineering and platform engineering teams to transition datasets from the warehouse to the GTM Data Store, APIs, MCP, and various applications.

• Document requirements, define use-case queries, oversee testing processes, and facilitate handoffs.

• Take charge of pricing and packaging strategies, including price-book placement, licensing models, supplemental terms, and bundling options.

• Support product-led and sales-led commercialization by enhancing in-product discoverability, creating sales materials, developing data reference guides, outlining use cases, and providing sales support.

• Engage directly with strategic customers and sales teams to grasp their needs and refine datasets and offerings.

• Create vertical solutions and workflows by integrating datasets into cohesive packages.

• Coordinate data quality efforts, engineering deliverables, pricing strategies, legal considerations, and marketing initiatives across teams.

• Prioritize dataset investments based on revenue potential, customer demand, and the intrinsic value of core data.

• Integrate customer feedback and delivery insights into future product development cycles.

⛳️ Requirements

• Possess a commercial mindset, with an understanding of products in relation to their target customers and pricing rationale.

• Have experience managing a budget or closely collaborating with decision-makers to influence prioritization.

• Strong customer-facing experience in enterprise product management, solutions consulting, professional services, or a data-oriented role within a customer-facing data company.

• Background in constructing data solutions that amalgamate multiple datasets into products or workflows tailored for specific markets.

• Ideally possess experience in financial services, insurance, or other data-intensive sectors.

• Comprehensive product management experience encompassing discovery, requirements gathering, engineering collaboration, product launches, enablement, pricing strategies, and shipping across multiple teams.

• Proficiency in SQL.

• Understanding of entity resolution and the trade-offs between coverage, accuracy, and freshness.

• Experience with B2B data, data licensing, or data-as-a-service is highly advantageous.

• Familiarity with public records, regulatory filings, or industry-specific data sources is a plus.

• Demonstrated ownership and a sense of urgency in responsibilities.

• Competence with AI tools, including Claude Code or similar technologies.

🏝️ Benefits

• Comprehensive benefits package.

• Holistic mind, body, and lifestyle programs aimed at overall well-being.

• Additional compensation may include bonuses, commissions, and equity opportunities.