Engineering Manager, AI

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

Every law firm wants AI. Most get stuck at the same step: making it work on their own data, with answers a partner will trust. Entegrata has built the governed foundation. Now we need someone to build and lead the team that turns it into intelligence.

As our first Engineering Manager for Intelligence, you will stand up Entegrata’s dedicated AI product engineering team and decide how applied AI gets built here. You start with our natural language data agent, which gives partners, finance leaders and operations teams governed answers from their firm’s data in plain English, then take the team into AI over legal documents and work product. You will own the evaluation, monitoring, and guardrails that keep every answer accurate, explainable, and within each firm’s access controls.

Reporting to the CTO, you will hire a team of AI and backend engineers and set the technical direction for applied AI at Entegrata. Your team will also build agent-first: you will use AI coding agents fluently in your own hands-on work and set the practices 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, who wants to own the technical side of the product and the team that ships it, and who will help shape what that product becomes.

Responsibilities

• Team Building: Hire and grow a team of about six: AI engineers and backend engineers. Run 1:1s, reviews and career coaching.
• AI Product Delivery: Ship AI features to production for law firm users, including our natural language data agent, from prototype to reliable, measured product.
• Applied AI Architecture: Own the patterns for retrieval, tool calling, agents and evaluation; decide when to use which model and how to keep cost and latency in check.
• Quality & Safety: Build evaluation, monitoring and guardrails so AI answers are accurate, explainable and respect each firm's access controls.
• Hands-On Engineering: Contribute code (approximately 40-60% of your time) and lead design reviews.
• Cross-Functional Partnership: Work closely with the semantic layer and data access teams (including our MCP servers), 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.
• Audit our current AI features and how they are evaluated, and publish a draft applied AI roadmap 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.
• Put an automated evaluation and quality bar in place that every AI feature must pass before it ships.
• Ship a measurable accuracy or reliability improvement to an AI feature in production.
• Have offers out for at least half of the team's open roles.

By 90 Days | Own and Deliver

• Ship a new AI feature to law firm users in production, with measured quality and guardrails.
• Run the team at a predictable cadence, hitting its sprint commitments, with every open role filled or in final rounds.
• Have every engineer on the team using AI coding agents in daily work, with shared practices.
• Be the go-to owner of applied AI for leadership, Product and client-facing 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.
• 2+ years building and shipping LLM-powered products to production: RAG, agents, tool calling, evaluation.
• Strong Python and experience with model APIs (Anthropic, OpenAI, Azure OpenAI) and AI frameworks.

Nice to Have

• Experience building MCP servers or agent tooling.
• Experience with NLP over long legal or financial documents.
• Experience with Databricks or lakehouse data.

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.