Director of Applied Science and Engineering – Knowledge Graphs, AI

Outreach

. Define and own the multi-year technical roadmap for Outreach's Knowledge Graph platform .

Posted 10/14/2026full-timeRemote • IndiaLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining technical roadmaps and leading teams in applied science, particularly in knowledge graph construction and machine learning. Proficient in translating business objectives into actionable strategies while ensuring high standards of scientific quality and production impact.

Highest-signal resume keywords

PhD In Computer ScienceKnowledge Graph ConstructionGraph Neural NetworksPython / Golang ProficiencyExecutive Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Applied ScienceMachine LearningInformation ExtractionRecommender SystemsEntity ResolutionTemporal ReasoningRepresentation LearningGraph ML SystemsProduction-Quality CodingExperiment Tracking

Soft Skills

Team LeadershipProblem DefinitionCareer DevelopmentCollaborationCommunication

Tools & Technologies

Graph DatabasesNeo4jSPARQLCypherData Models

Industry Keywords

Knowledge RepresentationSales Execution DomainResearch-To-Production ProcessesContinuous ImprovementAcademic Connections

Tech Stack

Tools & technologies

Neo4jPythonGo

About the role

Key responsibilities & impact

Define and own the multi-year technical roadmap for Outreach's Knowledge Graph platform
Translate business objectives into an applied science strategy balancing research ambition with production delivery
Build, hire, and lead a team of applied scientists and research engineers
Establish team culture, research rigor, career development frameworks, and standards for scientific quality and production impact
Design per-tenant knowledge graph schemas, ontologies, and data models for the sales execution domain
Make decisions on graph databases, query languages, storage engines, and tenant isolation strategies at scale
Oversee information extraction pipelines from sales calls, emails, and CRM notes
Lead reasoning and inference layers powering recommendations, risk scoring, coaching, competitive intelligence, and agentic AI
Direct research into graph-based models including GNNs, relational embeddings, link prediction, and temporal graph networks
Partner with Engineering, Product, Design, and Data leaders
Represent applied science in executive reviews, roadmap planning, and technical design reviews
Establish research-to-production processes including experiment tracking, model evaluation, A/B testing, and continuous improvement
Foster academic and industry connections through conferences, publications, and partnerships

Requirements

What you’ll need

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
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
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 and production-quality coding ability
Proficiency in Python / Golang
Graph databases or query languages such as Neo4j, SPARQL, or Cypher is required
Experience recruiting, developing, and retaining applied science talent
Executive communication skills
Ability to define problem spaces and charter new technical directions
End-to-end ownership of research and model development initiatives

Benefits

Comp & perks

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
Fun company and team outings