Were looking for a Senior Product Manager to lead our companys Intelligence layer – a foundational system that transforms how matching works across the platform.
This role owns the development of our companys Knowledge Graph and data systems, connecting buyer intent, project scope, seller capabilities, and real delivery outcomes into a unified intelligence layer.
You will lead the effort to transform our companys unstructured marketplace data into structured, outcome-linked signals, forming the foundation for systems that can understand context, reason about fit, and improve matching decisions across the platform.
This intelligence layer will power a wide range of capabilities – including retrieval, ranking, personalization, and future AI-native experiences.
What am I going to do?
Own our companys Marketplace Intelligence layer, defining the vision, strategy, and roadmap for context-aware, outcome-driven systems
Lead cross-functional execution of complex systems, partnering with engineering, data science, and product teams to build scalable, reliable, and explainable solutions
Lead the evolution of our companys Knowledge Graph and signal ecosystem, connecting marketplace data to real outcomes
Drive the use of structured signals to improve matching, personalization, and discovery across the platform
Navigate ambiguity and define structure across a problem space spanning data, modeling, and product experience
Drive adoption of these capabilities across key surfaces such as Job Post, Search, and CRM
Continuously identify gaps in data, signals, and marketplace understanding
Manage technical complexity while connecting infrastructure efforts to clear business impact.
This role owns the development of our companys Knowledge Graph and data systems, connecting buyer intent, project scope, seller capabilities, and real delivery outcomes into a unified intelligence layer.
You will lead the effort to transform our companys unstructured marketplace data into structured, outcome-linked signals, forming the foundation for systems that can understand context, reason about fit, and improve matching decisions across the platform.
This intelligence layer will power a wide range of capabilities – including retrieval, ranking, personalization, and future AI-native experiences.
What am I going to do?
Own our companys Marketplace Intelligence layer, defining the vision, strategy, and roadmap for context-aware, outcome-driven systems
Lead cross-functional execution of complex systems, partnering with engineering, data science, and product teams to build scalable, reliable, and explainable solutions
Lead the evolution of our companys Knowledge Graph and signal ecosystem, connecting marketplace data to real outcomes
Drive the use of structured signals to improve matching, personalization, and discovery across the platform
Navigate ambiguity and define structure across a problem space spanning data, modeling, and product experience
Drive adoption of these capabilities across key surfaces such as Job Post, Search, and CRM
Continuously identify gaps in data, signals, and marketplace understanding
Manage technical complexity while connecting infrastructure efforts to clear business impact.
Requirements:
5+ years of product management experience in data-intensive or technical domains, ideally working on systems that involve data modeling, signals, or decision-making infrastructure.
Strong technical background in data systems, ML infrastructure, or engineering; experience working with large-scale data pipelines and transforming unstructured data into structured signals.
Experience building or scaling systems related to search, recommendation, ranking, or marketplace matching.
Strong understanding of how systems make decisions based on signals, context, and historical data, not just surface-level metrics.
Proven track record of leading cross-functional teams to deliver complex, technically challenging products with measurable business impact.
Ability to operate in ambiguity and drive clarity through structured thinking, system design, and strong execution.
Excellent communication and collaboration skills, especially in highly technical and cross-functional environments.
Strong product intuition for what drives real-world success and outcomes, beyond engagement or conversion metrics.
Experience working with knowledge graphs, embeddings, or entity-based systems is a strong advantage.
Familiarity with AI/LLM systems (e.g., prompt orchestration, evaluation, or data pipelines) is a plus.
5+ years of product management experience in data-intensive or technical domains, ideally working on systems that involve data modeling, signals, or decision-making infrastructure.
Strong technical background in data systems, ML infrastructure, or engineering; experience working with large-scale data pipelines and transforming unstructured data into structured signals.
Experience building or scaling systems related to search, recommendation, ranking, or marketplace matching.
Strong understanding of how systems make decisions based on signals, context, and historical data, not just surface-level metrics.
Proven track record of leading cross-functional teams to deliver complex, technically challenging products with measurable business impact.
Ability to operate in ambiguity and drive clarity through structured thinking, system design, and strong execution.
Excellent communication and collaboration skills, especially in highly technical and cross-functional environments.
Strong product intuition for what drives real-world success and outcomes, beyond engagement or conversion metrics.
Experience working with knowledge graphs, embeddings, or entity-based systems is a strong advantage.
Familiarity with AI/LLM systems (e.g., prompt orchestration, evaluation, or data pipelines) is a plus.
This position is open to all candidates.
