Director, Automation Engineering

This is a fully remote position, open to applicants in New York.

📋 Description

• Lead the design and implementation of internal AI agents and automation workflows utilizing Snowflake Cortex, LangChain, LangGraph, or similar frameworks.

• Guide the development of reusable tools, APIs, and components tailored for agentic workflows.

• Direct workflows involving retrieval-augmented generation, context management strategies, and prompt patterns.

• Establish evaluation frameworks, regression tests, monitoring patterns, metrics, guardrails, and validation processes to ensure AI-agent reliability.

• Collaborate with engineering and operations teams to transition AI workflows from prototypes to production environments.

• Oversee the design, construction, and maintenance of production-grade Python applications, libraries, and services.

• Advocate for object-oriented design and software engineering best practices, including modular design, automated testing, CI/CD, code reviews, observability, and thorough documentation.

• Drive the implementation of reusable engineering patterns and scalable technical solutions across partner engagements.

• Lead the development of reusable Python libraries that support clean room capabilities, audience onboarding, ingestion, indexing, activation, campaign and impression delivery analysis, reach and frequency, attribution, and incrementality.

• Abstract analytical and data collaboration workflows into self-service components.

• Enable configurable feature deployment across partner collaborations.

• Hire, develop, and retain a high-performing software and AI engineering team.

• Mentor engineers through code reviews, technical design discussions, and operational best practices.

• Establish engineering standards for AI-assisted workflows, agentic system design, reusable libraries, and production automation.

• Promote reliability, maintainability, and continuous improvement.

⛳️ Requirements

• Bachelor's degree or equivalent practical experience in Computer Science, Information Systems, Software Engineering, Electrical Engineering, Electronics Engineering, or a closely related technical field.

• 8+ years of software engineering experience, including leadership and mentoring of engineering teams.

• Extensive hands-on experience in developing production-grade software using Python, encompassing libraries, services, testing, CI/CD, and code reviews.

• Hands-on experience in building applications with LLMs, RAG, vector databases, prompt engineering, or frameworks like Snowflake Cortex, LangChain, LangGraph, or similar tools.

• Experience in designing AI-enabled workflows, reasoning agents, tool-using agents, or intricate automation systems.

• 5+ years of hands-on experience with cloud data platforms such as Snowflake, Databricks, or analogous technologies.

• Strong comprehension of production system design, including observability, reliability, scalability, performance tuning, and operational support.

• Preferred: Familiarity with data clean room concepts or platforms such as Snowflake Clean Rooms, Databricks Clean Rooms, and LiveRamp/Habu.

• Preferred: Background in advertising technology, audience activation, campaign delivery, reach and frequency, attribution, incrementality, or reporting workflows.

• Preferred: Snowflake SnowPro Core Certification, Databricks Certified Data Engineer Associate, or similar cloud/data platform certification.

🏝️ Benefits

• Medical, dental, and vision insurance.

• 401(k) plan.

• Paid leave.

• Tuition reimbursement.

• Discounts and perks.

• Eligibility for bonuses.

• Long-term incentive eligibility.

• Fully remote work arrangement.