Senior Engineering Manager, Data & Cloud Platform

Mitratech

1d•$190,000 - $210,000•Remote

About The Position

Mitratech is seeking a Senior Engineering Manager to lead the Data & Cloud Platform function for its AI organization. This role is responsible for the data and infrastructure foundation that enables higher-level AI platform capabilities and product experiences. The position involves a blend of cloud platform engineering and data responsibilities, including building a unified access layer across data stores, shaping agent memory and context systems, operating cloud foundations, and executing the data strategy. This is a hands-on leadership role, with the expectation of spending approximately half the time writing and reviewing production code, especially as the team scales from an initial size of one to two direct reports.

Requirements

8+ years of software engineering experience.
Meaningful experience leading engineers as a manager or technical lead.
Experience building and operating shared platform and data systems in production across multiple teams.
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, or other multi-team data platforms).
Experience designing platform APIs or integration layers.
Demonstrated exposure to production AI systems, particularly where data architecture and infrastructure affect quality, reliability, latency, or cost.
Comfort operating in ambiguous environments with evolving architecture.
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 and Snowflake.

Nice To Haves

Experience in multi-cloud or hybrid-cloud environments.
Experience in legal technology, enterprise SaaS, or regulated environments.

Responsibilities

Own the cloud and data foundation for the AI organization, including shared runtime infrastructure, CI/CD patterns, and platform services.
Design and build a unified data access layer for agents and AI features.
Define the location for shared AI data such as agent memory, context stores, and shared service datasets.
Build and operate data ingestion and transformation pipelines for AI workloads and analytics.
Shape the technical execution of the organization’s data strategy, focusing on scale, operability, cost, and maintainability.
Partner with the AI Quality & Governance team to support privacy-sensitive data handling and PII-aware workflows.
Provide platform patterns, reference architectures, and reusable services to guide product teams.
Hire, mentor, and grow the team.