20 days ago
San Francisco, CA, USASenior / Staff+
Base Salary
$221k - $275k/yr
Responsibilities
- Work directly with customers to understand operational workflows, constraints, and technical environments.
- Design and implement production-grade backend services, orchestration layers, integrations, and internal tooling.
- Write high-quality code across the stack, including TypeScript, APIs, data pipelines, and cloud infrastructure.
- Own deployments end-to-end, including discovery, architecture, 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 help customers operationalize AI safely in production.
Requirements
- Minimum of 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.
- Clear communication with engineers and non-technical stakeholders.
- Strong ownership, execution, adaptability, and customer-outcome orientation.
- Startup or early-stage product-building experience, enterprise AI deployment experience, systems or infrastructure experience, enterprise integrations, authentication, security constraints, 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 with opportunities for growth and meaningful impact.
- The company 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.