ServiceTitan is building the operating system for the trades, enabling service businesses to run more efficiently. They are seeking a high-impact Engineering Manager to lead the Sales Agreements & Memberships squad, focusing on guiding a high-performing team while actively contributing to the codebase and transitioning to a microservices environment.
Responsibilities:
- Active Technical Contribution: Dedicate time to hands-on coding, code reviews, and setting implementation patterns, primarily utilizing C#
- Architectural Oversight: Lead the design, implementation, and continuous evolution of our highly scalable platform, requiring deep working knowledge of microservice architecture patterns and best practices
- Team Leadership: Manage, mentor, and grow a team of high-caliber engineers, fostering a strong culture of technical excellence and accountability
- Product Impact: Partner closely with Product Management to proactively shape the product's direction and technical roadmap and execute the delivery of high-quality, user-facing features that drive significant business value
Requirements:
- Strong C# Proficiency: Proven expertise with modern C# development, including its ecosystem, performance characteristics, and common frameworks. We are looking for candidates whose current or very recent role involves active, hands-on coding
- Architectural Expertise: Proven experience leading the design, scaling, and continuous evolution of complex systems. This requires deep working knowledge of architectural best practices for decoupling, modularization, and strategic refactoring of large codebases. Expertise in distributed systems, microservice architecture, and related tooling (Docker/Kubernetes) is a strong plus for our future roadmap
- SaaS Experience: Proven track record developing and deploying large-scale, high-availability SaaS applications
- Experience with Typescript/React a plus
- AI as a Teammate: Hands-on experience leveraging AI coding tools (e.g., Claude, ChatGPT, Cursor, GitHub Copilot) to accelerate development, improve code quality, and streamline debugging workflows
- Engineering Judgment: Ability to critically evaluate and integrate AI-generated output, applying sound engineering judgment to ensure correctness, security, and maintainability
- AI Integration: Experience integrating LLM APIs (e.g., OpenAI, Anthropic) or AI services into production applications
- A Growth Mindset: Eagerness to stay current with the rapidly evolving AI tooling landscape and champion best practices for AI-assisted development within the team