Staff Applied Scientist - Knowledge Graphs & AI
Outreach
Skill Required
Key highlights
- Applied Scientist role focused on knowledge graphs and reasoning systems
- Opportunity to shape a core piece of Outreach's AI architecture from the ground up
- Direct impact on revenue outcomes
- Customers include Databricks, SAP, Siemens, and Verizon
- Role focuses on next-best-action recommendations, deal risk signals, coaching suggestions, and competitive intelligence
Role overview
We are looking for an Applied Scientist to join a dynamic and innovative AI platform team that is pushing the boundaries of what's possible in sales execution. If you are passionate about applying cutting-edge research in knowledge graphs and reasoning systems to real-world problems at scale, this is an exceptional opportunity to shape a core piece of Outreach's AI architecture from the ground up. Our team is building a per-tenant contextual knowledge graph that captures the full complexity of each customer's sales environment: accounts, deals, contacts, rep behaviors, competitive landscape, and the signals buried in calls, emails, and CRM activity. This graph powers contextual reasoning across the platform, driving next-best-action recommendations, deal risk signals, coaching suggestions, and competitive intelligence.
Responsibilities
- Design the underlying representations, extraction pipelines, and reasoning layers that make the per-tenant contextual knowledge graph possible
- Work closely with cross-functional engineering and product teams to deliver innovative, scalable, and reliable AI capabilities with direct impact on revenue outcomes
- Apply cutting-edge research in knowledge graphs and reasoning systems to real-world problems at scale
- Shape a core piece of Outreach's AI architecture from the ground up
Additional details
- Outreach was founded in 2014
- Outreach is the only complete agentic AI platform for revenue teams
- Outreach infuses agentic AI, conversation intelligence, and assistive AI to power hundreds of use cases across revenue motions
- Use cases span new logo prospecting, expansions, deal acceleration, driving retention, and forecasting
- Outreach AI automates workflows and frees sellers to focus on more strategic conversations and actions
- Revenue leaders benefit from connected account visibility, performance insights, and higher forecasting accuracy across every GTM team
- World leading enterprise organizations use Outreach to power their revenue teams, including Databricks, SAP, Siemens, and Verizon
- The knowledge graph captures accounts, deals, contacts, rep behaviors, competitive landscape, and the signals buried in calls, emails, and CRM activity
- The knowledge graph powers next-best-action recommendations, deal risk signals, coaching suggestions, and competitive intelligence
- The knowledge graph is per-tenant and contextual
- The role sits within the AI platform team