Staff Applied Scientist - Knowledge Graphs & AI

Outreach Outreach · Enterprise · Hyderabad, India · Engineering

The role involves building an agentic AI platform focused on revenue teams, specifically designing and implementing a per-tenant contextual knowledge graph. This graph will capture customer sales environments to power contextual reasoning for recommendations, risk signals, and intelligence. The work includes designing representations, extraction pipelines, and reasoning layers, collaborating with engineering and product teams to deliver scalable AI capabilities.

What you'd actually do

  1. Design the underlying representations, extraction pipelines, and reasoning layers for a per-tenant contextual knowledge graph.
  2. Work closely with cross-functional engineering and product teams to deliver innovative, scalable, and reliable AI capabilities.
  3. Apply cutting-edge research in knowledge graphs and reasoning systems to real-world problems at scale.
  4. Shape a core piece of Outreach's AI architecture from the ground up.

Skills

Required

  • Knowledge Graphs
  • Reasoning Systems
  • AI Platform Development
  • Data Extraction
  • Scalable Systems Design

Nice to have

  • Sales Execution AI
  • CRM Data Analysis
  • Contextual Reasoning

What the JD emphasized

  • agentic AI
  • knowledge graphs
  • reasoning systems
  • contextual knowledge graph
  • extraction pipelines
  • reasoning layers
  • next-best-action recommendations
  • deal risk signals
  • coaching suggestions
  • competitive intelligence

Other signals

  • agentic AI platform
  • knowledge graphs
  • reasoning systems
  • contextual knowledge graph
  • extraction pipelines
  • reasoning layers
  • next-best-action recommendations
  • deal risk signals
  • coaching suggestions
  • competitive intelligence