Head of Engineering (Quench)

Key Responsibilities:

• Define and execute technical vision: Guide the evolution of our product from proven prototype to production-grade scalability, architecting intelligent, data-driven systems capable of handling complex medical-legal document pipelines.
• Own critical infrastructure: Lead the design and implementation of robust systems for large-scale document processing, metadata extraction, vector search, RAG workflows, and sophisticated asynchronous processing pipelines.
• Master distributed systems: Architect and optimize complex async workflows using AWS Step Functions, Lambda, and microservices to coordinate multi-stage document processing, AI model interactions, and data transformations at scale.
• Build and lead the team: Hire, mentor, and retain top-tier full-stack engineers, data scientists, and technical leaders, establishing a strong engineering culture centered on velocity, reliability, and continuous improvement.
• Drive technical execution: Ensure timely delivery of high-impact features and platform capabilities, taking ownership of significant projects from conception through deployment.
• Establish engineering excellence: Implement best practices around code quality, testing, deployment automation, monitoring, and documentation; champion TDD and comprehensive testing strategies.
• Collaborate cross-functionally: Work closely with product, medical experts, legal professionals, and business stakeholders to align technical strategy with market needs and business growth.
• Ensure enterprise readiness: Oversee secure, compliant infrastructure meeting industry-specific requirements for healthcare and legal data handling.
• Evaluate and adopt technologies: Stay ahead of the curve on AI models, infrastructure, frameworks, and tools to maintain our competitive edge in the legal-tech/med-tech intersection.

Required Skills & Experience:

• Senior technical leadership: 8+ years of software engineering experience with at least 3+ years in technical leadership roles (team lead, principal engineer, or engineering manager)
• Full-stack expertise: Strong hands-on experience with TypeScript/React/Next.js frontend and Python backend development; comfortable navigating the entire stack
• AWS cloud proficiency: Deep experience with AWS services including Lambda, Step Functions, S3, DynamoDB, RDS (PostgreSQL), SQS, and infrastructure as code (Terraform preferred)
• Asynchronous systems: Proven ability to design and implement sophisticated async processing pipelines, distributed workflows, and state management across services
• AI/ML integration: Hands-on experience with LLM APIs, vector databases, RAG systems, prompt engineering, and document AI services
• Data pipeline design: Experience architecting secure, scalable data systems handling structured and unstructured inputs, with attention to compliance and auditability
• Systems thinking: Track record of designing for scale, performance optimization, API integration, and enterprise-grade reliability
• Product mindset: Ability to translate user pain points and business requirements into technical priorities; comfortable engaging with customers and domain experts.
• Team building: Demonstrated success recruiting, mentoring, and growing engineering talent; fostering collaborative, high-performing teams

Bonus Points:

• Experience building 0→1 products or early-stage technical leadership at a VC-backed startup
• Prior experience in healthcare technology, legal tech, or regulated industries
• Background with document processing at scale, OCR, PDF manipulation
• Multi-tenant SaaS architecture experience
• Go microservices development
• Kubernetes and container orchestration
• Machine learning pipelines and model deployment
• Open-source contributions or technical thought leadership
• Experience with streaming data processing (Kafka, Flink) or real-time systems

Why Join Us as Head of Engineering:

• Founding-level impact — Shape both the product and technical vision as an early engineering leader, with your decisions directly influencing the company's trajectory
• Build on proven foundation — Inherit an established, working platform with room for significant innovation and scale, rather than starting from scratch
• Solve hard problems — Tackle sophisticated challenges around distributed async systems, large-scale document processing, and cutting-edge AI integration
• Cross-disciplinary collaboration — Work alongside accomplished physician and legal domain experts, bringing together technical excellence with deep clinical and legal insights
• High autonomy & ownership — Full authority over technical strategy, architecture decisions, team design, and execution approach
• Market intersection — Operate at the convergence of legal-tech and med-tech, two rapidly growing sectors with massive market opportunity
• Meaningful equity — Significant ownership stake rewarding you as a foundational team member
• Remote-friendly — Work from anywhere in the US with a distributed-first culture