Director of Applied Science and Engineering - Knowledge Graphs & AI

Outreach

Hyderabad, INremote regionPosted Apr 15, 2026
Posting intelligenceMay be filled, listed long agoReposted 7×, possible evergreen/ghost posting

At a glance

Why this role might suit you

A senior technical leader with deep expertise in knowledge graphs and AI can shape Outreach's contextual intelligence platform, guiding research, architecture, and team growth to drive measurable business impact.

Skills

knowledge-graphgraph-neural-networksrepresentation-learningreasoning-systemsnatural-language-processingmachine-learningdeep-learningpythontensorflowpytorchsparksqlawskubernetes

About the role

Who We Are:  Outreach is the leading AI Sales Execution Platform that helps revenue teams work more efficiently and predictably. With over 4,000 customers, including SAP, Zoom, Adobe, American Express, Databricks, and Okta, Outreach empowers sellers and revenue leaders to close more deals by leveraging AI, automation, and deep contextual intelligence across every stage of the sales cycle.

About the Role:  We are looking for a Director of Applied Science and Engineering to lead the vision, strategy, and execution of Outreach's Knowledge Graph and contextual AI capabilities. This is a senior leadership position for someone who combines deep technical expertise in knowledge representation, graph-based learning, and reasoning systems with the ability to build, inspire, and scale a high-performing team.   You will own the end-to-end technical direction of 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 is the reasoning backbone of the platform, powering next-best-action recommendations, deal risk signals, coaching suggestions, competitive intelligence, and agentic AI workflows. In this role, you will set the research agenda, define the architecture, hire and grow the team, and drive measurable business impact through applied science innovation.

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