Top Tech Jobs & Startup Jobs

Design, build, deploy, and maintain AI-powered production systems directly with customers. The role spans backend services, integrations, orchestration, data pipelines, cloud infrastructure, testing, monitoring, and troubleshooting. Engineers translate ambiguous operational needs into scalable technical solutions, own deployments end to end, collaborate with Product and Core Engineering, and convert customer learnings into reusable platform capabilities. The position requires strong software engineering, applied AI, systems, infrastructure, communication, and customer-facing skills.

Designs, builds, and deploys AI-powered productivity systems for engineering teams. Responsibilities include developing CI/CD pipelines, integrating platforms and enterprise systems, evaluating emerging AI and infrastructure tools, improving developer workflows, collecting telemetry and feedback, driving adoption, and partnering with engineering leadership. The role requires strong platform, infrastructure, DevOps, cloud, Linux, and systems engineering expertise, plus hands-on experience with Kubernetes, AWS, Terraform, Go, TypeScript, and on-call operations.

Own AI features from problem definition through general availability, improving reliability and output quality for classification, narratives, work codes, retrieval, and vision extraction. Build evaluation systems, golden datasets, monitoring, semantic retrieval, embeddings, prompt optimization, and customer-specific generation. Collaborate with product, design, engineering, customers, and the AI Platform team to define success measures and deliver production ML/LLM features.

Own the analytics lifecycle from data ingestion, ETL, modeling, orchestration, validation, and warehousing through BI dashboards and actionable insights. Build SQL/Python analyses and automation, define trusted metrics, quantify customer ROI, improve data quality, and support customer-facing presentations. Prototype machine learning models for product and business problems while designing scalable analytics infrastructure and partnering with Product, Engineering, and CX teams.

Design, build, and maintain reliable backend systems; optimize performance, scalability, and security; implement testing and CI/CD; collaborate with product, design, engineering, and customer success; mentor engineers; contribute to technical direction and customer-focused requirements; and participate in on-call rotations.

Supports client integrations, DevOps monitoring, ERP and practice management system transitions, and technical escalations. Builds and customizes Boomi processes, validates data flows, monitors integration health, investigates alerts, performs root-cause analysis, and resolves synchronization issues across APIs, databases, ERP, PMS, and SaaS environments. Communicates with client technical teams during incidents and migrations, coordinates fixes, documents recurring issues, and improves integration performance and reliability.

Own Laurel’s technical marketing infrastructure, including website performance, SEO, analytics, HubSpot automation, paid LinkedIn and Google campaigns, attribution, reporting, and AI-powered advertising workflows. Build and optimize marketing automation, AI agents, tracking systems, dashboards, and data processes that connect channel performance to pipeline and revenue. Partner with AI Engineering to develop and improve automated marketing solutions.

As a Business Development Representative at Laurel, you will engage in multi-channel outreach, build relationships with prospects, and support account executives in developing sales strategies while exceeding targets for qualified meetings and pipeline generation.

Lead and scale a sales enablement function: own onboarding, build pitch/content libraries, design certification, coach sellers, run enablement cadence, translate product and competitive updates, and partner with Product Marketing, RevOps, and Sales leadership to align enablement to pipeline and win/loss signals.

Lead full-cycle GTM recruiting (AEs, CSMs, SDRs, Solutions Engineers, sales leadership). Build outbound sourcing, partner with hiring managers, run structured assessments and calibrations, close competitive candidates, manage 10–15 active reqs and deliver ~6–10 hires per quarter across multiple geographies.