Head of Product Management

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August 22

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Pareto.AI

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Artificial Intelligence • B2B

Pareto. AI is a human-centered partner for frontier AI research and development that orchestrates networks of domain specialists to produce context-rich, high-quality data, run experiments, and evaluate models. The company provides managed, on-demand expert teams (from PhDs and medical doctors to technical specialists) to help AI organizations scale expert-only capabilities, accelerate research, and deliver robust, high-fidelity datasets and evaluations.

51 - 200 employees

Founded 2020

🤖 Artificial Intelligence

🤝 B2B

📋 Description

• Lead Pareto's product organization to deliver a world-class platform for scalable, secure delivery of extremely high-quality, curated data. • Define multi-year product vision, roadmap, strategy framework, success metrics, and resource allocation principles. • Partner with CEO and executive team on go-to-market strategy, competitive positioning, and key customer relationships. • Build quarterly and annual planning processes balancing innovation, technical debt, and operational excellence. • Scale product team, establish hiring frameworks, career development paths, and performance management systems. • Define cross-functional operating rhythms with engineering, research, sales, and customer success teams. • Own end-to-end product strategy for data ingestion, processing, quality assurance, and delivery systems. • Define platform architecture principles enabling 10x scale improvements in data throughput and quality. • Drive technical product decisions on ML training optimization, annotation workflows, and privacy-preserving data delivery. • Establish data-driven decision making frameworks and real-time performance monitoring across all platform components. • Lead strategic customer relationships, capture product requirements from enterprise AI/ML teams, and support enterprise deals.

🎯 Requirements

• 7+ years shipping data infrastructure, ML platforms, or enterprise SaaS products with demonstrated business impact and scale. • Track record of leading product organizations through hypergrowth—managing multiple product streams, establishing processes, and scaling teams. • Deep technical fluency with SQL, Python, and data systems architecture; capable of technical deep-dives with engineering leadership. • Expert-level understanding of data pipelines, ML training workflows, model evaluation frameworks, and enterprise privacy/compliance requirements (GDPR, SOC2). • Proven ability to synthesize complex technical trade-offs into strategic product decisions and communicate them clearly to diverse stakeholders. • History of building and mentoring high-performing product teams; experience hiring and developing product talent. • Exceptional executive communication skills; regularly present strategic recommendations to C-suite and board-level audiences. • Bachelor's degree in CS, Engineering, Statistics, or equivalent; advanced degree preferred.