Principal Product Builder, Data

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

📋 Description

• Take charge of the product vision, strategy, roadmap, and delivery for Apollo’s primary data catalog.

• Establish Apollo’s data as the cornerstone for agent, API, and workflow product interfaces.

• Prioritize the roadmap in collaboration with Data Engineering, Research, and Design, ensuring alignment with company OKRs.

• Develop centralized data telemetry and dashboards that measure catalog breadth, depth, accuracy, and freshness.

• Oversee the continuous data sourcing operation, which includes source identification, evaluation, and integration.

• Act as a liaison between R&D and Partnerships for vendor data sourcing, evaluation, and ongoing relationships.

• Work closely with Engineering to enhance the core data catalog.

• Assist key customer data initiatives and evaluations alongside sales and field teams.

• Align efforts among Product, Engineering, Design, GTM, Support, and Enablement teams.

• Transform Apollo into a reliable data layer for sales and marketing.

• Engage with customers, GTM teams, Support, and internal users to identify data gaps and issues related to quality or usability.

• Set the strategy for incorporating new data sources and presenting data across various products and customer systems.

• Rapidly prototype with AI-native workflows to test and validate concepts.

• Convert complex data pipelines into reliable customer experiences.

• Lead decisions on build versus buy versus partner strategies for data sources and manage business cases.

• Collaborate with Engineering on architecture, reliability, observability, APIs, data models, and edge cases.

• Team up with Design to ensure data provenance, freshness, and confidence are clearly visible.

• Partner with GTM, Support, and Customer Success teams for data quality evaluations.

• Define the KPI tree and learning loop; prioritize, measure, and iterate effectively.

• Create strategy documents, PRDs, launch plans, and tradeoff memos.

⛳️ Requirements

• 7+ years of product management experience, including ownership of intricate data-centric product areas from strategy to launch.

• Proficiency with AI-native tools such as Claude Code, Cursor, Lovable, Figma AI, or similar for prototyping, validating, and expediting execution.

• Ability to showcase tangible outcomes, not just written specifications.

• Principal-level ownership in a significant product area with visibility at the company level.

• Strong product judgment and a knack for making high-leverage decisions and tradeoffs.

• Capability to navigate complex data sources and aggregation processes for a high-availability, high-performance data catalog.

• Skill in designing and utilizing data-backed telemetry for informed product decisions.

• Knowledge of data privacy regulations, including GDPR, CCPA, consent, and licensing restrictions.

• Technical fluency encompassing architecture, reliability, observability, APIs, data models, instrumentation, and edge cases.

• Empathy towards customers regarding data gaps, outdated records, and inaccuracies.

• Proven ability to define, ship, measure, and iterate effectively.

• Strong influencing and communication skills.

• Experience with B2B data products, data marketplaces, enrichment, identity resolution, or data-as-a-service businesses.

• Familiarity with entity resolution, record matching, data freshness and decay, confidence scoring, and large-scale data collection and verification.

• Experience sourcing, evaluating, and negotiating relationships with third-party data vendors.

• Background in building solutions for sales, marketing, RevOps, customer success, or GTM teams.

• Experience utilizing analytics, experimentation, observability, or support data to enhance data quality and customer results.

🏝️ Benefits

• Equity

• Company bonus

• 401(k) plan

• At least 10 paid holidays annually

• Flexible PTO

• Parental leave

• Employee assistance program

• Wellbeing benefits

• Global travel coverage

• Life, AD&D, STD, and LTD insurance

• FSA/HSA

• Medical, dental, and vision benefits

• Resources, support, and autonomy for professional growth

• Cross-departmental collaboration and support

• Culture that encourages flexible experimentation and smart risk-taking