Director of Applied Science and Engineering – Knowledge Graphs, AI

Job not on LinkedIn

🔥 56 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🔴 Lead

🖥 Software Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Outreach

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2014

🤖 Artificial Intelligence

🏢 Enterprise

Artificial Intelligence • Sales • Enterprise

Outreach is a company that provides an AI-powered sales execution platform designed to streamline workflows and enhance the effectiveness of sales representatives. The platform utilizes artificial intelligence to forecast revenue accurately, manage deals, and optimize the entire sales process. Outreach helps sales teams prioritize tasks, identify prospects, and maintain engagement throughout the customer lifecycle, ultimately aiming to boost win rates and reduce churn. With over 6,000 global customers, Outreach focuses on transforming seller workflows to consistently exceed revenue targets.

📋 Description

• 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

• 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

• 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