Note: The job is a remote job and is open to candidates in USA. Mitratech builds products that simplify operations in Legal, Risk, Compliance, and HR functions. The Senior Engineering Manager will lead the Data & Cloud Platform function for the AI organization, building unified data access layers, shared agent memory and context systems, cloud infrastructure, and data pipelines while growing and mentoring the team.
Responsibilities
- Own the cloud and data foundation for the AI organization — shared runtime infrastructure, CI/CD patterns, and platform services used by AI teams
- Design and build a unified data access layer for agents and AI features so they can interact with a coherent interface rather than bespoke storage and retrieval systems in each product
- Define where shared AI data should live — agent memory, context stores, and shared service datasets — while partnering with product teams that have compliance or customer-specific reasons to retain specialized storage patterns
- Build and operate data ingestion and transformation pipelines that support AI workloads and analytics, including ETL and lakehouse-style patterns where needed
- Shape the technical execution of the organization’s data strategy, especially around scale, operability, cost, and long-term maintainability
- Partner with the AI Quality & Governance team to support privacy-sensitive data handling, PII-aware workflows, and safe access patterns for observability, memory, and trace data
- Provide platform patterns, reference architectures, and reusable services that help product teams migrate toward shared foundations instead of building fragmented point solutions
- Hire, mentor, and grow the team over time — the function may later mature into separate data-platform and cloud-platform groups
Skills
- You have 8+ years of software engineering experience including meaningful experience leading engineers as a manager or technical lead
- You have built and operated 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 that make complex infrastructure or fragmented systems easier for other teams to consume
- Demonstrated exposure to production AI systems, especially where data architecture and infrastructure materially affect quality, reliability, latency, or cost
- Comfort operating in ambiguous environments where the architecture is evolving and the right answer may be a combination of shared services, integration layers, and selective platform consolidation
- A strong bias toward hands-on execution, systems thinking, and building scalable foundations that other teams can trust
- Experience with agent memory, retrieval systems, semantic search, or data architectures optimized for LLM-powered applications and Snowflake
- This role can be performed 100% remote anywhere in the US
- Experience in multi-cloud or hybrid-cloud environments
- Experience in legal technology, enterprise SaaS, or regulated environments where access controls, auditability, and customer-specific constraints shape technical design
Benefits
- Health, Dental & Vision Insurance
- 401 (k) + Employer Match
- Unlimited PTO + 11 Paid Holidays + 4 Annual Paid Global Wellness Days Off
- STD, LTD & Group Life Insurance
- Paid Parental Leave
- Pet Insurance
- FSA & HSA Options
- Employee Assistance Program
- Remote Work
- Career Advancement & Professional Development Opportunities
- Employee Recognition
- LinkedIn Learning Platform
Company Overview
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