4 hours ago
San Francisco, CA, USASenior / Staff+
Base Salary
$221k - $275k/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 code across the stack, typically using TypeScript, APIs, data pipelines, and cloud infrastructure.
- Own deployments end-to-end, including discovery, architecture, implementation, testing, rollout, monitoring, and iteration.
- Debug complex issues involving 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, maintainability, and sound engineering judgment.
- Translate ambiguous customer needs into technical plans and execution paths.
- Help customers operationalize AI safely and effectively in production environments.
Requirements
- At least 4 years of experience building production software systems.
- Ability to work 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.
- Ability to communicate clearly with engineers and non-technical stakeholders.
- Ability to operate effectively in ambiguous environments with rapidly changing requirements.
- Strong ownership, execution, iteration, and customer-impact orientation.
- Startup experience, enterprise AI deployment, systems engineering, infrastructure, third-party enterprise integrations, authentication systems, security constraints, enterprise IT environments, or production debugging experience are strong signals but not requirements.
Benefits
- Equity and 401(k) benefits.
- Bi-annual in-person company off-sites in unique locations.
- Collaborative, inclusive team environment and opportunities for growth and meaningful impact.
- The company does not provide 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.