Director, Software Engineering

Key Responsibilities

• Lead and mentor high-impact engineering team, including senior engineers
• Operate as a hands-on player-coach, contributing to architecture, design, and code reviews
• Establish and evolve team practices for AI-augmented development — ensuring AI coding assistants and enterprise software agents are leveraged effectively across the development lifecycle
• Set clear expectations that engineering judgment, code review rigor, and quality validation remain the responsibility of the engineer, not the AI tool
• Partner closely with the Product Management – Research Technology on discovery, roadmap execution, and prioritization
• Work directly with Research users to understand current workflows and future plans and translate them into effective tooling
• Enable rapid iteration cycles through tight collaboration with Product and Research teams
• Design and build AI agents that automate research processes and assist insight generation
• Lead integration of LLMs, agent orchestration, evaluation, and monitoring capabilities
• Build scalable services, APIs, and internal tools that support agent-driven analytics
• Define and enforce quality gates — automated testing, evaluation benchmarks, and guardrails — for agent-driven outputs
• Continuously evaluate and adopt emerging AI development tools and agent platforms available within the enterprise
• Design and evolve cloud-native, microservice-based architectures
• Develop and maintain secure, scalable APIs consumed by internal products and platforms
• Collaborate with data, platform, security, and architecture teams to align with enterprise standards, architecture patterns, and Critical Design Reviews (CDRs)
• Participate in and drive high level design reviews for team-owned systems, ensuring alignment with enterprise architecture governance
• Support agile delivery across multiple initiatives and teams
• Manage technical backlogs, dependencies, and delivery risks
• Communicate technical decisions and progress clearly to product and senior stakeholders

Qualifications

• 10+ years of professional software engineering experience, with 3+ years in an engineering leadership role
• Proven experience as a hands-on Engineering Manager (player-coach)
• Strong back-end expertise in Python, Node.js, Java, Go, or C#
• Demonstrated proficiency using AI coding tools and agents to accelerate team delivery, and experience establishing AI-augmented development practices within a team
• Strong ability to set quality standards for reviewing, validating, and debugging AI-generated code across a team
• Experience designing microservice architectures, distributed systems, and complex platforms
• Proven experience building and maintaining RESTful or gRPC APIs
• Solid experience with a major cloud platform (AWS or Azure)
• Deep experience with relational (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) databases
• Strong understanding of CI/CD, infrastructure-as-code, and containerization (Terraform, Docker, Kubernetes)
• Experience partnering closely with Product Managers and business stakeholders