Director of Applied Science and Engineering – Knowledge Graphs, AI

This is a fully remote position, open to applicants in India.

📋 Description

• Define and take ownership of the long-term technical roadmap for Outreach's Knowledge Graph platform.

• Convert business goals into an applied science strategy that balances research aspirations with production delivery.

• Build, recruit, and lead a team of applied scientists and research engineers.

• Establish a team culture, ensure research rigor, develop career growth frameworks, and set standards for scientific quality and production impact.

• Design knowledge graph schemas, ontologies, and data models tailored for the sales execution domain on a per-tenant basis.

• Make strategic decisions regarding graph databases, query languages, storage engines, and tenant isolation strategies at scale.

• Supervise information extraction pipelines sourced from sales calls, emails, and CRM notes.

• Lead the reasoning and inference layers that drive recommendations, risk scoring, coaching, competitive intelligence, and agentic AI.

• Guide research into graph-based models, including GNNs, relational embeddings, link prediction, and temporal graph networks.

• Collaborate with Engineering, Product, Design, and Data leaders.

• Represent applied science in executive reviews, roadmap planning, and technical design evaluations.

• Establish processes for transitioning research to production, including experiment tracking, model evaluation, A/B testing, and ongoing improvement.

• Cultivate academic and industry relationships through conferences, publications, and partnerships.

⛳️ Requirements

• PhD in Computer Science, Machine Learning, NLP, or a related discipline with a focus on knowledge representation and reasoning, graph neural networks, information extraction, recommender systems, or conversational AI and dialogue systems.

• Over 10 years of experience in applied science or machine learning.

• Minimum of 3 years in a leadership role managing teams of 5 or more applied scientists or research engineers.

• Proven track record of developing and deploying knowledge graph, NLP, or graph ML systems at a production scale.

• Extensive expertise in at least three of the following areas: knowledge graph construction, entity resolution, information extraction, graph neural networks, temporal reasoning, representation learning, or recommender systems.

• Strong engineering fundamentals and proficiency in production-quality coding.

• Proficient in Python and Golang.

• Experience with graph databases or query languages such as Neo4j, SPARQL, or Cypher is essential.

• Experience in recruiting, developing, and retaining applied science talent.

• Strong executive communication skills.

• Ability to define problem areas and initiate new technical directions.

• Full ownership of research and model development projects.

🏝️ Benefits

• Highly competitive salary.

• 25 days of annual vacation time plus sick leave and casual leave.

• Group medical policy coverage available for 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 participate in company success through the RSU program.

• Diversity and inclusion initiatives that support employee resource groups such as 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.

• Enjoyable company and team outings.