Pareto.AI is looking to lead the product organization to deliver a world-class platform for scalable, secure delivery of extremely high-quality, curated data to enable top talent around the world to participate in the development of cutting-edge AI models.
Requirements
- 7+ years shipping data infrastructure, ML platforms, or enterprise SaaS products with demonstrated business impact and scale.
- 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.
Responsibilities
- Own end-to-end product strategy for data ingestion, processing, quality assurance, and delivery systems.
- Define platform architecture principles that enable ongoing 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.
- Define strategic product vision, establish cross-functional operating rhythms, and drive platform decisions that unlock step-function improvements in throughput, quality, and profitability.
- Align engineering and research priorities, and represent product strategy to executive leadership and key customers.
Other
- Track record of leading product organizations through hypergrowth—managing multiple product streams, establishing processes, and scaling teams.
- 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.
- Partner with CEO and executive team on go-to-market strategy, competitive positioning, and key customer relationships.
