Senior Applied Scientist - Knowledge Graphs & AI

Outreach; United States; On-site; USD 120,000 - 170,000; Full time

Job summary

Outreach is seeking an Associate Applied Scientist to join a dynamic AI platform team. You will apply machine learning to knowledge graphs and reasoning systems at scale to build core components of Outreach’s per-tenant knowledge graph.

You will design representations, extraction pipelines, and reasoning layers that connect accounts, deals, contacts, and signals from calls, emails, and CRM activity, delivering next-best-action recommendations and revenue-impacting insights.

Qualifications

• Strong ML fundamentals and interest in knowledge graphs.
• Experience applying NLP in production systems.
• Ability to work with cross-functional teams.

Responsibilities

• Design representations, extraction pipelines, and reasoning layers for per-tenant graphs.
• Collaborate with engineers and product teams to deliver scalable AI capabilities.
• Translate research into revenue-impacting features.

Skills

ML fundamentals

Knowledge graphs

Applied NLP

Cross-functional collaboration

Job description

About Outreach

Outreach, founded in 2014, 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. From new logo prospecting to 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 to name a few.

About the job:

• We are looking for an Associate Applied Scientist to join a dynamic and innovative AI platform team. If you are passionate about applying machine learning to knowledge graphs and reasoning systems at scale, this is an opportunity to build core components of Outreach’s per-tenant knowledge graph while developing deep expertise under the guidance of senior scientists.
• 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. In this pivotal role, you will design the underlying representations, extraction pipelines, and reasoning layers that make this possible, working closely with cross-functional engineering and product teams to deliver innovative, scalable, and reliable AI capabilities with direct impact on revenue outcomes.
• This role is ideal for someone with strong ML fundamentals who wants to build deep expertise in knowledge graphs and applied NLP in a fast-moving product environment.