Senior/Staff Forward Deployed Engineer
About The Position
Laurel is on a mission to return time. As the leading AI Time platform for professional services firms, we’re transforming how organizations capture, analyze, and optimize their most valuable resource: time. Our proprietary machine learning technology automates work time capture and connects time data to business outcomes, enabling firms to increase profitability, improve client delivery, and make data-driven strategic decisions. We serve many of the world's largest accounting and law firms, including EY, Aprio, Crowell & Moring, and Frost Brown Todd, and process over 1 billion work activities annually that have never been collected and aggregated before Laurel’s AI Time platform. Our team comprises top talent in AI, product development, and engineering—innovative, humble, and forward-thinking professionals committed to redefining productivity in the knowledge economy. We're building solutions that empower workers to deliver twice the value in half the time, giving people more time to be creative and impactful. If you're passionate about transforming how people work and building a lasting company that explores the essence of time itself, we'd love to meet you.
Requirements
- Minimum of 4+ years of experience building production software systems
- Comfortable moving across backend, infrastructure, integrations, and customer environments
- Can independently architect and ship complex systems with minimal oversight
- Experience with APIs, distributed systems, cloud infrastructure, and data-intensive applications
- Worked with LLMs, AI agents, retrieval systems, orchestration frameworks, or applied AI systems in production
- Thrive in ambiguous environments where requirements evolve quickly
- Can communicate clearly with both engineers and non-technical stakeholders
- Care deeply about speed, iteration, and customer impact
- Excited to work directly with customers and own outcomes, not just tickets
Nice To Haves
- Startup experience or early-stage product building
- Experience deploying AI systems into enterprise environments
- Strong systems engineering or infrastructure background
- Experience integrating with third-party enterprise systems and APIs
- Familiarity with authentication systems, security constraints, and enterprise IT environments
- Experience debugging production issues in unfamiliar codebases
- History of shipping quickly under real-world constraints
- Comfort balancing rapid iteration with long-term engineering quality
Responsibilities
- Work directly with customers and Laureates 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 TypeScript, APIs, data pipelines, and cloud infrastructure
- Own deployments end-to-end: discovery, architecture, implementation, testing, rollout, monitoring, and iteration
- Debug complex issues across customer systems, infrastructure, authentication, APIs, and data pipelines
- Collaborate closely with Product and Core Engineering to turn field learnings into reusable platform capabilities
- Rapidly prototype new functionality while maintaining strong engineering judgment around scalability and maintainability
- Translate ambiguous customer needs into clear technical plans and execution paths
- Help customers operationalize AI safely and effectively in real production environments
- Help accelerate the implementation team’s efforts to reduce time to impact for customers.
Benefits
- Equity
- 401K
- Bi-annual, in-person company off-sites, in unique locations, to grow and share time with the team
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
