Principal Product Builder, Data (AI)

Location: Remote, United States

Salary: $236,000–$295,000 USD annually for San Francisco, New York City, and Seattle; $205,200–$256,500 USD annually for all other US locations.

Company

hirify.global is a SaaS go-to-market platform providing verified B2B contact and company data, engagement tools, and workflow capabilities for sales and marketing teams.

What you will do

• Own product vision, strategy, roadmap, and delivery for Apollo’s core data catalog and its role across agent, API, workflow, enrichment, search, filtering, and scoring surfaces.
• Understand data gaps, accuracy issues, and usability problems through close collaboration with customers, GTM teams, Support, Customer Success, and internal users.
• Develop an always-on strategy for expanding the native catalog through data-source identification, evaluation, integration, and vendor partnerships.
• Prototype and validate ideas quickly using Claude Code, Cursor, Lovable, Figma AI, and similar AI-native workflows.
• Turn complex data pipelines into trustworthy experiences covering coverage, accuracy, freshness, confidence scoring, enrichment waterfalls, and data provenance.
• Partner with Engineering, Design, Data Science, GTM, Support, and Enablement on architecture, reliability, observability, APIs, data models, customer evaluations, KPI definition, and product iteration.

Requirements

• 7+ years of product management experience, including ownership of complex data-centric product areas from strategy through launch.
• Principal-level ownership across a meaningful product area with company-level visibility.
• Experience using AI-native tools such as Claude Code, Cursor, Lovable, Figma AI, or similar to prototype, validate, and accelerate execution, with evidence of things built or shipped.
• Strong product judgment, high agency in ambiguous environments, execution excellence, and the ability to identify high-leverage problems and make difficult tradeoffs.
• Ability to navigate multiple data sources and aggregation processes that centralize data into a high-availability, performant data catalog, and to use data-backed telemetry for product decisions.
• Understanding of data privacy, GDPR, CCPA, consent, and licensing constraints, with the ability to partner with Legal and Privacy.
• Technical fluency across architecture, reliability, observability, APIs, data models, instrumentation, and edge cases.
• Customer empathy for the impact of data gaps, stale records, and inaccuracies on sales, marketing, RevOps, administrators, and end users.
• Strong influence and communication skills, including aligning teams, building trust, and simplifying complex systems.

Nice to have

• 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, including waterfall or multi-vendor architectures.
• Experience building products for sales, marketing, RevOps, customer success, or GTM operators.
• Experience using analytics, experimentation, observability, or support data to improve data quality and customer outcomes.

Culture & Benefits

• AI-native environment focused on continuous improvement, AI, and automation.
• Culture emphasizing extreme ownership, focus, urgency, continuous learning, experimentation, and cross-functional collaboration.
• Equity, company bonus, 401(k), at least 10 paid holidays, flexible PTO, parental leave, employee assistance, and wellbeing benefits.
• Global travel coverage, life/AD&D/STD/LTD insurance, FSA/HSA, and medical, dental, and vision benefits.