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Director of Applied Science and Engineering - Knowledge Graphs & AI

Lead the vision and execution of Outreach's Knowledge Graph and contextual AI capabilities in a senior leadership role.

Location
Hyderabad, India
Compensation
Not disclosed
Level
director
Type
full time

Posted by employer 2 days ago

First seen on Joblaze 1 day ago

Last verified on the company career page 1 day ago

Apply at Outreach.io → Save job Scanned from outreach.io

What you'll build

  • lead the vision and strategy for Knowledge Graph and contextual AI capabilities
  • own the technical direction of a per-tenant contextual knowledge graph
  • set the research agenda
  • define the architecture
  • drive measurable business impact through applied science innovation

Must have

  • deep technical expertise in knowledge representation
  • experience in graph-based learning
  • experience in reasoning systems

AI in the day-to-day

Outreach infuses agentic AI, conversation intelligence, and assistive AI to power hundreds of use cases across revenue motions.

Not disclosed in this posting: compensation, years of experience, work arrangement, visa sponsorship.

Joblaze insights

  • Listed yesterday — first seen on Joblaze October 15, 2026. Last confirmed on Outreach.io's careers page October 15, 2026.
  • This exact title is also open at 1 other location at Outreach.io: Hyderabad.

Quick facts

What's the tech stack?
Joblaze extracted these technologies from the posting: AI/ML, graph-based learning, knowledge representation, reasoning systems.
What seniority level is this role?
Outreach.io targets director candidates for this position.
Is this full-time or contract?
Full-time for this Director of Applied Science and Engineering - Knowledge Graphs & AI role at Outreach.io.

From the original posting

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.  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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