3 months ago
Remote, AmericasMid Level
Base Salary
$180k - $230k/yr
Responsibilities
- Work directly with customers and internal teams to understand operational workflows, constraints, and technical environments.
- Design and implement production-grade solutions across backend services, orchestration layers, integrations, and internal tooling.
- Write high-quality TypeScript code across the stack, including APIs, data pipelines, and cloud infrastructure.
- Own deployments end-to-end from discovery and architecture through implementation, testing, rollout, monitoring, and iteration.
- Debug issues across customer systems, infrastructure, authentication, APIs, and data pipelines.
- Collaborate with Product and Core Engineering to turn field learnings into reusable platform capabilities.
- Prototype functionality rapidly while maintaining scalability and maintainability.
- Translate ambiguous customer needs into technical plans and execution paths.
- Help customers operationalize AI safely and effectively in production environments.
- Create reusable technical patterns, accelerate implementation efforts, and distinguish customer-specific customization from durable product opportunities.
Requirements
- At least 4 years of experience building production software systems.
- Experience across backend engineering, infrastructure, integrations, and customer environments.
- Ability to independently architect and ship complex systems with minimal oversight.
- Experience with APIs, distributed systems, cloud infrastructure, and data-intensive applications.
- Production experience with LLMs, AI agents, retrieval systems, orchestration frameworks, or applied AI systems.
- Clear communication with engineers and non-technical stakeholders and comfort working in ambiguous environments.
- Startup or early-stage product-building experience is a strong signal but not a requirement.
- Experience deploying AI systems in enterprise environments, integrating third-party enterprise systems and APIs, and working with authentication, security constraints, and enterprise IT environments is preferred.
- Experience debugging production issues in unfamiliar codebases and shipping quickly under real-world constraints is preferred.
Benefits
- Equity and 401(k) benefits are provided.
- Bi-annual in-person company off-sites are held in unique locations.
- The company is an equal opportunity employer but does not provide visa sponsorship or relocation assistance.
Tech Stack
Categories
Forward Deployed
About Laurel
Laurel builds an AI-driven timekeeping and analytics platform for professional services firms, automating time capture and connecting activity data to billing and operational systems. Delivered as SaaS, it integrates with ERPs and practice management software to support revenue, pricing, and profitability decisions; customers include EY, Aprio, Crowell & Moring, and Frost Brown Todd. Founded in 2018 and headquartered in San Francisco, the privately held company reports processing over 1 billion work activities annually.