Principal Product Builder, Data

🔥 15 hours ago

🇺🇸 United States – Remote

💵 $205.2k - $256.5k / year

⏰ Full Time

🔴 Lead

👻 Ghost score 3%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Apollo.io

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

🤝 B2B

☁️ SaaS

🤖 Artificial Intelligence

B2B • SaaS • Artificial Intelligence

Apollo. io is an all-in-one sales platform designed to streamline and enhance sales operations from lead generation to deal management. The platform offers tools for contact and account search, scores and signals analysis, inbound optimization, sales engagement, and more, leveraging AI and a living data network for comprehensive sales intelligence. Apollo. io is ideal for sales professionals, marketers, and revenue operations teams aiming to enhance productivity and efficiency by automating workflow tasks and integrating CRM systems. With a focus on improving sales performance through analytics and conversation intelligence, Apollo. io helps businesses find the right leads at the right time, nurture those leads effectively, and close deals efficiently.

📋 Description

• Own the product vision, strategy, roadmap, and delivery for Apollo’s core data catalog • Make Apollo’s data the foundation for the agent, API, and workflow product surfaces • Prioritize the roadmap with Data Engineering, Research, and Design, aligned to company OKRs • Build central data telemetry and dashboards measuring catalog breadth, depth, accuracy, and freshness • Lead the always-on data sourcing operation, including source identification, evaluation, and integration • Bridge R&D and Partnerships on vendor data sourcing, evaluation, and ongoing relationships • Collaborate with Engineering on approaches to improve the core data catalog • Support key customer data initiatives and evaluations with sales and field teams • Align Product, Engineering, Design, GTM, Support, and Enablement • Evolve Apollo into a trusted data layer for sales and marketing • Engage customers, GTM teams, Support, and internal users to identify data gaps and quality or usability issues • Set strategy for adding new data sources and presenting data across products and customer systems • Rapidly prototype with AI-native workflows to validate ideas • Translate complex data pipelines into trustworthy customer experiences • Lead build-versus-buy-versus-partner decisions for data sources and own business cases • Partner with Engineering on architecture, reliability, observability, APIs, data models, and edge cases • Partner with Design to make data provenance, freshness, and confidence visible • Partner with GTM, Support, and Customer Success on data-quality evaluations • Define the KPI tree and learning loop; prioritize, measure, and iterate • Write strategy documents, PRDs, launch plans, and tradeoff memos

🎯 Requirements

• 7+ years of product management experience, including ownership of complex data-centric product areas from strategy through launch • Experience using AI-native tools such as Claude Code, Cursor, Lovable, Figma AI, or similar to prototype, validate, and accelerate execution • Ability to demonstrate things built or shipped, not just specifications written • Principal-level ownership across a meaningful product area with company-level visibility • Strong product judgment and ability to make high-leverage decisions and tradeoffs • Ability to navigate complex data sources and aggregation processes for a high-availability, performant data catalog • Ability to design and leverage data-backed telemetry for product decisions • Understanding of data privacy, GDPR, CCPA, consent, and licensing constraints • Technical fluency across architecture, reliability, observability, APIs, data models, instrumentation, and edge cases • Customer empathy for data gaps, stale records, and inaccuracies • Ability to define, ship, measure, and iterate effectively • Strong influence 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 high-scale data collection and verification • Experience sourcing, evaluating, and negotiating third-party data vendor relationships • Experience building for sales, marketing, RevOps, customer success, or GTM operators • Experience using analytics, experimentation, observability, or support data to improve data quality and customer outcomes

🏖️ Benefits

• Equity • Company bonus • 401(k) plan • At least 10 paid holidays per year • Flex 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 • Flexible experimentation and smart risk-taking culture