---
title: 'Director of Applied Science and Engineering - Knowledge Graphs & AI at Outreach'
canonical: 'https://feeny.ai/job/director-of-applied-science-and-engineering-knowledge-graphs-ai-outreach-xdk4tavbkv49'
type: 'job'
last_seen: '2026-09-12'
---

# Director of Applied Science and Engineering - Knowledge Graphs & AI at Outreach

- **Company:** Outreach
- **Location:** Hyderabad, India
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-04-15
- **Last confirmed live:** 2026-09-12
- **Apply:** https://jobs.lever.co/outreach/dc29c7f1-d7ef-431f-a35a-173dac2a4138

## 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.

## 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.

Your Daily Adventures Will Include:

- Technical Vision & Strategy: Define and own the multi-year technical roadmap for Outreach's Knowledge Graph platform, including entity resolution, temporal reasoning, graph-based learning, and contextual inference. Translate business objectives into a coherent applied science strategy that balances research ambition with production delivery.
- Team Leadership: Build, hire, and lead a team of applied scientists and research engineers. Establish team culture, research rigor, career development frameworks, and a high bar for both scientific quality and production impact. Mentor senior ICs into technical leaders.
- Knowledge Graph Architecture: Drive the design of per-tenant knowledge graph schemas, ontologies, and data models tailored to the sales execution domain. Own decisions on graph databases, query languages, storage engines, and tenant isolation strategies at scale.
- Information Extraction at Scale: Oversee pipelines that extract structured knowledge from unstructured conversational and document data (sales calls, emails, CRM notes), including coreference resolution, relation extraction, event detection, and entity linking.
- Reasoning & Inference Systems: Lead the development of reasoning and inference layers over the knowledge graph to power next-best-action suggestions, deal risk scoring, coaching recommendations, competitive intelligence, and agentic AI decision-making.
- Representation Learning & Graph ML: Direct research into graph-based models (GNNs, relational embeddings, link prediction, temporal graph networks) over heterogeneous, multi-relational graph structures to support downstream reasoning, retrieval, and recommendation tasks.
- Cross-functional Leadership: Partner with leaders in Engineering, Product, Design, and Data to align science investments with product priorities. Represent the applied science function in executive reviews, roadmap planning, and technical design reviews.
- Research-to-Production Pipeline: Establish processes and infrastructure for moving from research exploration to production deployment: experiment tracking, model evaluation frameworks, A/B testing, and continuous model improvement loops.
- Industry & Academic Engagement: Keep the team at the frontier of knowledge graph research. Foster connections with the academic community through conference participation, publications, and strategic academic partnerships.

Our Vision Of You:

- PhD in Computer Science, Machine Learning, NLP, or a related field with a focus on knowledge representation and reasoning, graph neural networks, information extraction, recommender systems or conversational AI and dialogue systems
- 10+ years of experience in applied science or machine learning, with at least 3 years in a people leadership role managing teams of 5+ applied scientists or research engineers.
- Demonstrated track record of building and shipping knowledge graph, NLP, or graph ML systems at production scale: not just publishing papers, but delivering measurable business outcomes.
- Deep expertise in at least three of: knowledge graph construction, entity resolution, information extraction, graph neural networks, temporal reasoning, representation learning, or recommender systems.
- Strong engineering fundamentals. You can write production-quality code, not just prototype notebooks. Proficiency in Python / Golang; and graph databases or query languages (e.g., Neo4j, SPARQL, Cypher) is required.
- Experience recruiting, developing, and retaining top applied science talent. You have grown ICs into senior technical leaders and built teams with a strong shipping culture.
- Executive communication skills. You can translate complex research concepts into business impact narratives for C-suite and board audiences.
- Comfort with deep ambiguity. You will define the problem space, not just solve well-scoped problems. You thrive when chartering new technical directions from scratch.
- Strong Ownership: Take end-to-end responsibility for research and model development initiatives, from problem formulation and data analysis through experimentation, production deployment, and ongoing performance monitoring, driving outcomes with minimal oversight.

Nice To Have:

- Experience building multi-tenant knowledge graph systems with per-customer isolation and scale requirements.
- Background in sales, revenue, or B2B SaaS domains: understanding of deal cycles, pipeline management, and CRM data models.
- Experience integrating knowledge graphs with LLM-based systems (RAG architectures, tool-augmented generation, agentic frameworks).
- Strong communication skills with the ability to translate research concepts into product impact for cross-functional audiences.
- Publications in top-tier venues (KDD, NeurIPS, ACL, EMNLP, ICLR, WWW, SIGIR, etc.) in knowledge graphs, NLP, or graph learning.
- Experience with graph databases at scale (Neo4j, Amazon Neptune, or similar) including performance tuning, query optimization, and multi-region deployment.
- Familiarity with the Model Context Protocol (MCP) or similar agent-tool integration patterns.
- Track record of building applied science teams from scratch (0→1 team formation).

Why Join Us?

- Foundational Leadership: You will define how Outreach thinks about knowledge representation and contextual reasoning, decisions that shape the platform for years. This is not an optimization role; it is a charter-defining one.
- Greenfield Architecture: Build the knowledge graph platform from the ground up with the latitude to make foundational technical decisions on schema design, graph infrastructure, and reasoning systems.
- Scale & Impact: Outreach processes millions of sales interactions across 4,000+ enterprise customers. Your team's work will directly power agentic AI workflows that change how revenue teams operate globally.
- Executive Visibility: Direct exposure to top leadership in the company. Present research direction and results at the executive level.
- World-Class Team: Join a culture that values scientific rigor, engineering excellence, and intellectual honesty. Collaborate with senior engineers, product leaders, and data scientists who care deeply about getting it right.
- Growth into executive level: For the right leader, this role is a path to executive level as the function scales. You will shape not just the technology but the organizational structure of applied science at Outreach.

## Why You’ll Love It Here

● Highly competitive salary ● 25 days annual vacation time + sick time and casual leave ● Group medical policy coverage available to employees and up to 5 eligible family members ● OPD benefit covered up to INR 10,000 ● Life insurance and personal accident insurance at 3x annual CTC ● 26 weeks of maternity leave pay, and 15 days of paternity leave pay ● Opportunity to be part of company success via the RSU program ● Diversity and inclusion programs that promote employee resource groups like OWN+ (Outreach Women's Network), Adelante (Latinx community), OBX (Outreach Black Connection), Mosaic (AAPI community), Pride (LGBTQIA+), Gender+, Disability Community, and Veterans/Military ● Employee referral bonuses to encourage the addition of great new people to the team ● Fun company and team outings because we play just as hard as we work

Outreach is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Our success is reliant on building teams that include people from different backgrounds and experiences who can elevate assumptions and ideas with fresh perspectives. We're dedicated to hiring the whole human, not just a resume. To that end, we look for a diverse pool of applicants-including those from historically marginalized groups. We would like to invite you to apply even if you don't think you meet all of the requirements listed below. We don't want a few lines in a job description to get between us and the opportunity to meet you.

## About Outreach

## Company Overview
- **One-liner**: Outreach provides an agentic AI platform for revenue teams to automate prospecting, deal management, forecasting, coaching, and account expansion.
- **Entity Type**: Private (Series G, $489M total funding)
- **Headquarters**: Seattle, Washington, United States
- **Founded**: 2014
- **Founders**: Four founders (names not specified in available sources)

## Core Business
- **Primary industry**: Revenue orchestration / Sales engagement platform powered by agentic AI.
- **Target customers**: B2B enterprise sales, customer success, and revenue teams. Clients include Databricks, SAP, Siemens, and Verizon.
- **Mission/purpose**: “We help our customers change the world” by delivering the only complete agentic AI platform that automates workflows and frees sellers to focus on strategic conversations.

## Products & Services
- **Outreach AI Agents**: AI teammates that handle prospecting, deal inspection, risk flagging, and action prioritization across every account and deal.
- **Outreach Omni**: A universal conversational agent that lets sellers ask questions and take action across accounts, opportunities, prospects, and meetings from in-app, mobile, or Slack.
- **Outreach MCP**: A connectivity layer that lets information and actions flow freely across the GTM stack, enabling faster execution and agentic workflows.
- **Intelligent Workflow Automation**: Pre-built, ready-to-run workflows for core sales motions with a visual canvas for configuration.
- **Conversation Intelligence**: Surface insights from calls to spot coaching opportunities and improve team performance.
- **AI-Assisted Forecasting**: Reduce prep time and improve accuracy with AI modeling that validates calls and drives revenue predictability.

## Market Standing
- **Valuation/Market Cap**: $4.4 billion valuation after Series G financing (as of latest round).
- **Key Metric**: Annual revenue of $154.7 million (LinkedIn estimate).
- **Total Funding**: $489M across 14 rounds.
- **Notable Investors/Partners**: Backed by Sands Capital, Salesforce Ventures, Lone Pine Capital, Spark, DFJ, Trinity, Mayfield.
- **Growth Signals**: 775 employees (spread across 28 countries), 5 office locations (Seattle, Prague, Atlanta, Hyderabad, plus UK), growing customer base of large enterprises, and active hiring for Director of Applied Science, Senior Technical Program Manager, and other roles.

## Competitive Advantages
- **Agentic AI focus**: One platform that covers the entire revenue lifecycle (prospecting, deal management, forecasting, coaching, expansion) with AI agents that act as teammates.
- **Enterprise-grade security & governance**: Encryption, SSO, role-based access, configurable agent controls, and full audit trails.
- **Large, loyal customer base**: World-leading enterprises like Databricks, SAP, Siemens, and Verizon trust Outreach.
- **High valuation and strong investor backing**: $4.4B valuation signals market confidence and resources for continued innovation.

## Strategic Focus
- Deepening AI capabilities across all revenue motions (AI agents, Omni, MCP) to automate more workflows and increase productivity.
- Expanding global footprint (offices in EMEA and APAC) and hiring senior technical talent (Applied Science, TPM, Solutions Consultants).
- Driving adoption of agentic AI among enterprise revenue teams, with a focus on governance and trust.

## Why Work Here
- **Culture**: Described as a “proud paradox” – balancing explosive growth with unwavering values. Emphasis on agility, high standards, ownership, and doing the right thing. Employees are expected to own their business and are never bored.
- **Work locations**: Headquarters in Seattle (333 Elliott Ave W), plus offices in Prague, Atlanta, and Hyderabad. Distributed workforce across 28 countries. Hybrid/remote policy not explicitly stated but multiple office locations and global team suggest flexibility.
- **Benefits**: Parental leave with extended PTO for both parents, 401k, and a focus on work-life balance.
- **Engineering culture**: Opportunities to work on cutting-edge AI/ML (Knowledge Graphs, Applied Science), large-scale platform engineering, and revenue intelligence. Open roles include Director of Applied Science, Senior Technical Program Manager, and Senior Applied Scientist.

## Sources
1. [Outreach Careers Page – Job Listings](https://jobs.lever.co/outreach)
2. [Outreach – Working at Outreach](https://www.outreach.ai/company/working-at-outreach)
3. [Outreach – About Page](https://www.outreach.ai/company/about)
4. [Outreach LinkedIn Profile](https://linkedin.com/company/outreach-saas)
5. [Outreach – Homepage](https://www.outreach.ai/home)

## Other roles at Outreach

- [Senior Financial Analyst](https://feeny.ai/job/senior-financial-analyst-outreach-seattle-q40vd3egxey5) — Seattle, WA
- [Senior Account Executive, Enterprise](https://feeny.ai/job/senior-account-executive-enterprise-outreach-united-states-wgrj8adk378v) — United States
- [Senior Global Partner Marketing Manager](https://feeny.ai/job/senior-global-partner-marketing-manager-outreach-united-states-ncw1kcm34b6z) — United States
- [Marketing Operations Specialist](https://feeny.ai/job/marketing-operations-specialist-outreach-united-states-df037wx2fc2y) — United States
- [Staff Product Designer](https://feeny.ai/job/staff-product-designer-outreach-seattle-4ax0bka5d1xh) — Seattle, WA
- [Principal Technical Account Manager](https://feeny.ai/job/principal-technical-account-manager-outreach-atlanta-b56apvdjzgxx) — Atlanta, GA
- [Senior Growth Marketing Manager, Commercial/Mid-Market](https://feeny.ai/job/senior-growth-marketing-manager-commercial-mid-market-outreach-united-states-4ravbde6dyfs) — United States
- [Senior Growth Marketing Manager, Global Strategic](https://feeny.ai/job/senior-growth-marketing-manager-global-strategic-outreach-united-states-h8pny0vw54xp) — United States
- [Staff Technical Escalations Manager](https://feeny.ai/job/staff-technical-escalations-manager-outreach-seattle-qkes52p4rcf5) — Seattle, WA
- [Senior Performance Marketing Manager](https://feeny.ai/job/senior-performance-marketing-manager-outreach-united-states-mfhbz4zhbgbn) — United States