Staff, Software Engineer - People.AI

About the Role

Key Responsibilities

• Lead the design and implementation of enterprise knowledge graphs, including ontology design, schema modeling, and graph-based reasoning.
• Build robust data pipelines for knowledge graph ingestion using Python, Airflow, and PySpark.
• Manage and optimize knowledge graph databases, including schema design, performance tuning, and query optimization using Cypher.
• Develop and maintain GraphQL APIs for exposing graph data to downstream services and end-user applications.
• Collaborate cross-functionally with data scientists, ML engineers, HR partners, and product teams to translate business needs into technical solutions.
• Work with semantic search, entity linking, and graph-based querying to power intelligent applications and AI assistants.
• Enforce best practices in data governance, scalability, observability, and security in all graph-related systems.

Requirements

• Proven experience with knowledge graph databases, including designing and managing large-scale graph databases in production.
• Strong understanding of knowledge graph construction, entity resolution, and schema alignment techniques.
• Proficiency in Python, with experience in PySpark and Airflow for ETL and data orchestration.
• Strong command of Cypher and hands-on experience with GraphQL API development.
• Background in data modeling and working with complex data relationships across multiple domains.
• Experience working in ML- or AI-driven environments, particularly involving semantic data, LLMs, or intelligent assistants, is a plus.
• Excellent collaboration and communication skills, including the ability to work with technical and non-technical stakeholders.
• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.

Nice to Have

• Experience in creating inclusive digital experiences and knowledge of Web Content Accessibility Guidelines (WCAG) 2.2 AA standards.
• Knowledge of assistive technologies and integrating digital accessibility to support an inclusive culture.

Qualifications

• Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years' experience in software engineering or related area.
• Option 2: 6 years' experience in software engineering or related area.
• Preferred: Master's degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 2 years' experience in software engineering or related area.

Benefits & Perks

• Competitive pay with performance-based bonus awards.
• Health benefits including medical, vision, and dental coverage.
• Financial benefits such as 401(k), stock purchase, and company-paid life insurance.
• Paid time off including PTO, sick leave, parental leave, family care leave, bereavement, jury duty, and voting.
• Other benefits including short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement.
• PTO and PPTO for vacation, sick leave, holidays, or other purposes.
• Live Better U education benefit program covering tuition, books, and fees.