Senior Engineering Manager, Data & Cloud Platform

Das ist der Job

This role sits at the foundation layer.

Darum lohnt es sich

At Mitratech, we are a team of innovators focused on building world-class products that simplify operations in the Legal, Risk, Compliance, and HR functions. We are a close-knit, globally dispersed team that thrives in an ecosystem that supports individual excellence and takes pride in its diverse and inclusive work culture.

The organization is designed using Team Topologies: stream-aligned product teams sit at the top, an AI Platform layer sits in the middle, and Cloud & Data Foundation sits below.

The team begins small — likely one to two direct reports — and you are expected to spend roughly half of your time writing and reviewing production code while the organization scales. Partner with the AI Quality & Governance team to support privacy‑sensitive data handling and PII‑aware workflows. Hire, mentor, and grow the team over time.

Why This Role You will design and build the data and cloud infrastructure that AI platform capabilities and product teams depend on. You will work across the full AI organization, set the patterns other teams build on, and own a function with broad technical reach and long‑term strategic importance.

Compensation and Benefits Anticipated Pay Range: $190K -- $210K Annually USD Remote Work (100% remote in the US) Health, Dental & Vision Insurance 401(k) + Employer Match Unlimited PTO + 11 Paid Holidays + 4 Annual Paid Global Wellness Days Off Paid Parental Leave Career Advancement & Professional Development Opportunities #J-18808-Ljbffr About the AI Platform Organization Mitratech's AI mission is to turn its legal data and products into a unified, safe AI platform that powers the top legal workflows in every core solution.

About the Role This role leads the Data & Cloud Platform function for the AI organization. It is accountable for the data and infrastructure foundation that makes higher-level AI platform capabilities and product experiences possible. This is explicitly a hands‑on leadership role.

What You Will Do Own the cloud and data foundation for the AI organization — shared runtime infrastructure, CI/CD patterns, and platform services. Design and build a unified data access layer for agents and AI features. Define where shared AI data should live — agent memory, context stores, and shared service datasets.

Build and operate data ingestion and transformation pipelines that support AI workloads and analytics. Shape the technical execution of the organization's data strategy, especially around scale, operability, cost, and long‑term maintainability. Provide platform patterns, reference architectures, and reusable services.

What We Are Looking For You have 8+ years of software engineering experience including meaningful experience leading engineers as a manager or technical lead. Strong experience with cloud infrastructure, distributed systems, developer platforms, or internal platform engineering.

Hands‑on experience building or operating shared data systems: ETL/ELT pipelines, internal data services, warehouse or lakehouse environments. Experience designing platform APIs or integration layers. Demonstrated exposure to production AI systems. Comfort operating in ambiguous environments.

A strong bias toward hands‑on execution, systems thinking, and building scalable foundations. Experience with agent memory, retrieval systems, semantic search, or data architectures optimized for LLM‑powered applications. Nice to Have Experience in multi‑cloud or hybrid‑cloud environments.

Experience in legal technology, enterprise SaaS, or regulated environments. The Stack Context Engineering environment primarily uses Python and TypeScript. Platform operates across AWS and OCI. Currently leveraging FiveTran and DBT in our ETL to Snowflake.