Senior Technical Product Manager, Doc Platform & AI Infrastructure
New
United StatesFull-TimeSenior
Salary140,000 - 190,000 USD per year
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Job Details
- Experience
- 5+ years of product management experience in SaaS
- Required Skills
- AgileProduct ManagementSaaSDistributed Systems
Requirements
- 5+ years of product management experience in SaaS, with ownership of technically complex platforms or infrastructure products.
- Strong technical fluency and ability to collaborate deeply with engineers on system architecture, data pipelines, and distributed systems.
- Experience with document processing systems, search and indexing technologies, or AI/ML-driven infrastructure.
- Familiarity with OCR pipelines, full-text and vector search, embedding strategies, and large-scale data systems.
- Proven experience working on platform or shared-service products where adoption is driven by influence and cross-team collaboration.
- Strong understanding of Agile or Lean product development methodologies.
- Analytical mindset with experience defining, tracking, and improving product and system performance metrics.
- Ability to evaluate tradeoffs between scalability, performance, cost, and product complexity.
- Excellent communication skills for translating technical concepts into business narratives.
- Experience working in AI-adjacent domains such as LLM systems, RAG, or intelligent document processing is a plus.
- Experience in legal tech or compliance-heavy industries is advantageous.
Responsibilities
- Define and own the product vision and roadmap for the document processing and AI infrastructure platform.
- Translate complex technical requirements into actionable specifications for document ingestion, OCR pipelines, and vector search systems.
- Partner with engineering and data science teams to design scalable document management and processing infrastructure.
- Drive platform adoption strategies and enable integration across multiple product teams.
- Collaborate with AI teams to ensure infrastructure readiness for LLM-based and retrieval-augmented systems.
- Monitor and optimize platform metrics including latency, throughput, cost efficiency, and search accuracy.
- Lead cross-functional alignment to ensure consistency in document infrastructure standards.
- Mentor and support junior and mid-level product managers.
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