Engineering Manager, Context

Entegrata builds data platforms and analytics for law firms. The Engineering Manager, Context will build and lead the team responsible for the metrics model, semantic layer and legal-industry ontology, making trusted business context available to dashboards, APIs and AI agents. The role combines hands-on engineering, team growth and technical direction.

Responsibilities

• Team Building: Hire, onboard and grow a team of backend, data and frontend engineers from a founding group of one or two; run 1:1s, reviews and career coaching
• Semantic Layer Ownership: Own the metrics model, semantic layer and legal-industry ontology, from definitions to how they are versioned, tested and served
• Business Context for AI: Make our business context usable by AI agents: structured metric discovery, grounding and explanations exposed through MCP and APIs
• Hands-On Engineering: Contribute code (approximately 40-60% of your time), lead design reviews and set the team's engineering standards
• Delivery & Execution: Own planning, roadmap alignment and delivery for the team; remove blockers and keep releases predictable
• Cross-Functional Partnership: Work closely with the teams that own our data pipelines, data access APIs and AI features, plus Product and client-facing teams

Skills

• 8+ years of software engineering experience, including 2+ years leading engineers as a manager or tech lead
• Still hands-on: comfortable writing and reviewing production code for 40-60% of your time
• Hands-on experience developing with AI coding agents and agentic workflows (for example Claude Code, Cursor or Copilot agents), and leading a team in adopting them: shared practices, guardrails and measuring the impact on delivery
• Proficiency in Go, .NET, Python or similar languages, and strong SQL
• A track record of hiring well and growing engineers through clear expectations, feedback and coaching
• Clear written communication and the ability to turn ambiguous business needs into a sequenced plan
• Deep experience with semantic layers, metrics stores or dimensional modeling (for example dbt metrics, Cube, LookML, Power BI semantic models)
• Experience with Databricks, Delta Lake or similar lakehouse technologies
• Strong experience with a major cloud platform; Azure preferred
• Experience building ontologies or knowledge graphs
• Experience exposing data to LLMs through MCP, tool calling or retrieval
• Legal, professional services or law firm finance data experience

Benefits

• Medical, dental, and vision insurance
• 401(k) with employer match
• Unlimited PTO and company holidays
• Professional development support
• Flexible hybrid work

Company Overview