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Head of Product Management
Head of Product ManagementPareto.AI • Syracuse, NY, US
Head of Product Management

Head of Product Management

Pareto.AI • Syracuse, NY, US
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

About This Role

Lead Pareto's product organization to deliver a world-class platform for scalable, secure delivery of extremely high-quality, curated data. You will define strategic product vision, establish cross-functional operating rhythms, and drive platform decisions that unlock step-function improvements in throughput, quality, and profitability. As a senior product leader, you will mentor product talent, align engineering and research priorities, and represent product strategy to executive leadership and key customers.

Key Qualifications

7+ years shipping data infrastructure, ML platforms, or enterprise SaaS products with demonstrated business impact and scale.

Track record of leading product organizations through hypergrowthmanaging 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.

Description

Join Pareto as the senior product leader responsible for defining and executing the platform strategy that powers the world's most advanced AI companies. You will build and lead a world-class product organization, establish product culture and operating principles, and drive platform decisions that define the competitive landscape for curated data infrastructure.

Strategic Leadership

  • Define multi-year product vision and roadmap aligned with company objectives and market opportunities.
  • Establish product strategy framework, success metrics, and resource allocation principles across platform modules.
  • Partner with CEO and executive team on go-to-market strategy, competitive positioning, and key customer relationships.
  • Build quarterly and annual planning processes that balance innovation, technical debt, and operational excellence.

Product Organization Development

  • Scale product team from current state to support multiple product verticals and customer segments.
  • Establish hiring frameworks, career development paths, and performance management systems for product talent.
  • Define cross-functional operating rhythms with engineering, research, sales, and customer success teams.
  • Mentor junior product managers and build internal product leadership pipeline.

    • Platform & Technical Strategy

  • 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.

    • Customer & Market Strategy

  • Lead strategic customer relationships and capture product requirements from enterprise AI / ML teams.
  • Conduct market analysis and competitive intelligence to inform product positioning and feature prioritization.
  • Partner with sales leadership on enterprise deals requiring custom product commitments or technical integration.

    • Education & Experience

  • Bachelor's degree in Computer Science, Engineering, Statistics, or related technical field required.
  • Advanced degree (MS, PhD) in relevant technical discipline strongly preferred.
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