Lead the vision and execution of Outreach's Knowledge Graph and contextual AI capabilities in a senior leadership role.
Posted by employer 5 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 3 hours ago
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 summary
The Director of Applied Science and Engineering at Outreach is responsible for shaping and executing the strategy for the company's Knowledge Graph and contextual AI capabilities. This role requires a strong foundation in knowledge representation and graph-based learning, along with leadership skills to build and manage a high-performing team. Ideal candidates are seasoned professionals with a blend of technical expertise and strategic vision, ready to drive innovation that enhances the platform's AI-driven functionalities. Outreach's focus on agentic AI positions this role at the forefront of transforming revenue operations.
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.