Level AI

Leads backend and ML infrastructure architecture across distributed processing, GPU fleets, model serving, and reliability. The role requires 10+ years of large-scale systems experience, strong architectural ownership, and a Computer Science degree or equivalent track record.

Leads revenue operations systems and processes for a SaaS go-to-market organization, optimizing CRM and marketing platforms, reporting, data quality, enablement, forecasting, and cross-functional workflows. Requires 6+ years of Sales or Revenue Operations experience and strong GTM technology expertise.

Operations Specialist providing executive support to senior leadership, owning day-to-day operational workflows, tracking KPIs, supporting hiring and onboarding, and planning company offsites in a fast-paced AI startup. Requires 3+ years EA/ops experience in high-growth environments, strong organization, and in-office presence.

Builder who designs, ships, and owns core GTM systems (forecasting, deal desk, signal intelligence, AI agents, executive dashboards) in Salesforce, Gong, and AI tools for a Series C AI company scaling from $20-100M ARR. Requires 6+ years RevOps/GTM engineering experience and hands-on building with AI in the loop.

Builds end-to-end features and real-time web interfaces for AI-powered Agent Assist products, using React and backend frameworks such as Django and NestJS. Requires 3–5 years of full-stack development experience and strong database, API, and enterprise application skills.

Leads end-to-end deployment and optimization of AI Virtual Agents and CX automation workflows for enterprise customers. Requires 5+ years in a technical customer-facing role, strong coding and API integration skills, and the ability to translate requirements into production solutions.

Build and maintain scalable backend products and APIs for customer-facing AI applications. The role requires 3–6 years of backend experience, strong Python and Django skills, database and distributed-systems knowledge, and sound computer science fundamentals.

Build and deploy LLM-powered agents and production AI/NLP pipelines, focusing on RAG, agentic systems, model optimization, and scalable deployment. The role requires 3+ years of machine learning or applied AI experience, strong Python skills, and experience with modern ML frameworks and infrastructure.

The SDET will design and execute automated and manual testing for SaaS product features and data pipelines, build load-testing and release automation frameworks, and collaborate with developers to ensure product quality. The role requires 2–4 years of experience and strong API, debugging, and test automation skills.

Build and scale analytical data platforms, warehouses, and pipelines supporting customer dashboards and high-volume systems. The role requires 3+ years of backend and infrastructure experience plus expertise in data architecture, schema design, integrations, and scalable data platforms.

Analyzes user behavior, product usage, and AI model performance to guide product decisions and improve automation pipelines. The role requires a bachelor's degree, 1–2 years of AI analyst experience, Python and SQL proficiency, and statistical analysis skills.

Build and deploy scalable NLP and LLM solutions for voice agents, classification, information retrieval, and agentic applications. The role requires 3+ years of machine learning and NLP experience, strong Python/PyTorch skills, and experience with production model deployment.

Build, hire, coach, and scale an SDR team to generate qualified pipeline meetings with enterprise CX and contact center leaders. Design outbound processes, set KPIs, provide hands-on coaching, and create promotion paths from SDR to AE in a fast-paced AI SaaS environment.

Build and lead frontend development for enterprise customer and partner onboarding products using React, TypeScript, and modern web technologies. The role requires at least 3 years of frontend experience, strong JavaScript and architecture expertise, and experience with analytics, testing, and scalable user interfaces.

Builds scalable, low-latency backend systems and orchestration frameworks for production AI agents in real-time enterprise environments. Requires 5+ years of backend, distributed systems, or platform engineering experience, with strong API, cloud, and microservices expertise.

Senior backend engineer responsible for designing, building, and maintaining scalable products and REST APIs. The role requires 2–5 years of backend experience, strong Python and Django skills, database and system design knowledge, and familiarity with cloud-native infrastructure.

Leads development of scalable, low-latency backend systems that power production AI agents in real-time enterprise environments. The role requires 5+ years of backend, distributed-systems, or platform-engineering experience, with AI agent and LLM experience strongly preferred.

Build, deploy, and maintain scalable speech recognition pipelines, while experimenting with model architectures and modern ASR techniques. Requires 2+ years of experience, strong machine-learning fundamentals, Python and PyTorch expertise, and a bachelor's degree.

The Senior Site Reliability Engineer will optimize Kubernetes and GPU infrastructure for cost, throughput, and reliability while enabling backend teams through tooling and instrumentation. The role requires 4–5 years of systems experience, backend development depth, Kubernetes expertise, GCP and Terraform fluency, and hybrid on-premises infrastructure experience.