Manager, Software Engineering, Data Platform

This is a fully remote position, open to applicants in Alabama, +46 more locations.

📋 Description

• Oversee a team of senior data platform engineers.

• Take ownership of the vision, architecture, and roadmap for data ingestion, orchestration, warehouse, BI, and real-time services.

• Assess and prioritize platform trade-offs.

• Manage, mentor, and develop senior engineers.

• Transform senior individual contributors into technical leaders and ensure effective hiring practices.

• Direct the management of AI agents, establish guardrails, and set review standards.

• Curate, version, and govern datasets for training, fine-tuning, and evaluation.

• Provide engineers with the necessary agentic tools for design, coding, testing, on-call duties, and documentation.

• Set up data SLOs, contracts, lineage, automated checks, and dataset ownership.

• Develop the AI and agentic layer of the platform, including metadata, semantic context, natural-language data access, pipeline agents, and auditable evaluations.

• Facilitate self-service onboarding for sources, pipelines, dashboards, and monitoring rules.

• Maintain a reliable production platform with SLAs, cost attribution, budget planning, vendor upgrades, and rollback strategies.

• Collaborate with Data Engineering, Data Science, Analytics, Product Engineering, Security, TechOps, Finance, Compliance, and Risk teams.

• Direct design efforts, review critical paths, troubleshoot production issues, and prototype solutions.

• Engage in design reviews, code reviews, incident responses, and occasional prototyping tasks.

⛳️ Requirements

• Minimum of 4 years managing software engineers, including responsibilities for hiring, performance management, coaching, and developing senior individual contributors.

• At least 6 years of experience in data, ML, and/or platform engineering.

• Practical experience in building and operating large-scale warehouse, orchestration, streaming, or ingestion platforms.

• Familiarity with platforms like BigQuery, Airflow, Pub/Sub, Kafka, and Iceberg, or their equivalents.

• Proven experience in defining and achieving data SLOs as well as creating validation systems.

• Background in building or leading LLM-based or agentic data systems.

• Experience in designing self-service platforms that are utilized by other teams.

• Demonstrated success in owning high-impact platform projects from start to finish, delivering successful releases.

• Recent hands-on experience in designing, prototyping, reviewing, or deploying production code.

• Strong ability to create design documents and articulate complex systems to analysts, scientists, engineers, and finance stakeholders.

• Understanding of model training and evaluation processes.

• Experience in cleaning training and fine-tuning datasets, creating labeled evaluation sets, versioning data, and measuring model quality impact.

• Knowledge of strategies to prevent label noise, leakage, and distribution drift.

• Preferred: experience with large-scale blockchain data.

• Preferred: background in fintech, crypto, payments, or regulated sectors.

• Preferred: expertise in streaming and stateful processing for transaction-centric, low-latency monitoring.

• Preferred: familiarity with data catalog and lineage tools, cloud warehouse access governance, and cost attribution.

• Preferred: experience with Python, Go, or Java services and agent frameworks/protocols such as LangGraph or MCP.

• Preferred: experience leading a geographically distributed team.

🏝️ Benefits

• Flexible work environment.

• Inclusive workplace.

• Interview accommodations and assistance for candidates with disabilities.