Engineering Manager, Context

About Entegrata

Entegrata helps law firms turn data into decision-grade insights. Founded in 2023 and headquartered in Indianapolis, we are a venture-backed SaaS company delivering a turnkey, Azure-based data lakehouse platform purpose-built for law firms. Our platform consolidates siloed legal, operational, and financial data into a single governed source of truth, with AI-powered analytics on top. Our mission is to become the data platform of choice for the top law firms in the world.

The Role

Ask three people at a law firm the answer to a financial calculation and you may get three different answers. Until a metric means the same thing everywhere, no dashboard, report or AI agent can be trusted to get it right. The semantic layer is where that meaning lives.

As the Engineering Manager for our Semantic Layer, you will build and lead the new team that owns Entegrata’s metrics, semantic layer and ontology: the business meaning on top of our lakehouse that dashboards, APIs and AI agents all depend on. You will own how a law firm’s data becomes trusted, well-defined metrics, from how they are defined to how they are versioned, tested and served. You will also make that business context usable by AI, exposing metric discovery, grounding and explanations through our MCP servers and APIs.

Reporting to the CTO, you will grow a team of engineers and set its technical direction. That team will build agent-first: you will use AI agents fluently in your own hands-on work and set the practices, guardrails and quality gates your engineers work to. Agents write the first pass; you stay accountable for what ships. This role is for a leader who still loves to build and wants to define how law firm data gets its meaning, for people and AI alike.

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.

What Success Looks Like: 30-60-90 Days

First 30 Days | Learn and Ship

• Meet the team, partner teams, Product and key client-facing staff in your first two weeks.
• Ship production code in your first two weeks.
• Publish a draft roadmap and technical direction for the semantic layer by day 30.
• Open every remaining role on the team and start interviewing.

By 60 Days | Build and Hire

• Get the roadmap agreed with Product and the CTO, with dated milestones for the year.
• Ship a meaningful improvement to how metrics are defined, tested or served.
• Have offers out for at least half of the team's open roles.
• Have every engineer on the team using AI coding agents in daily work, with shared practices.

By 90 Days | Own and Deliver

• Ship a measurable gain in metric coverage or accuracy that firms and AI agents use in production.
• Run the team at a predictable cadence, hitting its sprint commitments.
• Have every open role filled or in final rounds.
• Be the go-to owner of the semantic layer for leadership, Product and partner teams.

Qualifications

• 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.
• Strong experience with a major cloud platform; Azure preferred.
• 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.

Nice to Have

• 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.

Why Join Entegrata?

• Cutting-Edge Technology: Work on an innovative AI-driven data platform transforming legal analytics.
• Growth & Impact: Be a key leader in a fast-growing company shaping the future of legal data intelligence.
• In-Person Collaboration: Work alongside your team in our Chicago office.
• Collaborative Culture: Join a passionate team dedicated to innovation, efficiency, and delivering value to law firms.

Compensation and Benefits

Competitive salary, medical, dental, and vision insurance, 401(k) with employer match, unlimited PTO and company holidays, professional development support, and flexible hybrid work.

Equal Opportunity

Entegrata is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected characteristic.