Jobs at Level AI

Manage and optimize revenue systems and GTM tech stack (CRM, marketing automation, sales tools). Maintain data hygiene, generate reports and dashboards, support users, and drive cross-functional initiatives like deal desk, enablement, commission planning, and forecasting to improve GTM effectiveness.

Lead Kubernetes and GPU-focused infrastructure: drive FinOps and right‑sizing, optimize on‑prem GPU throughput, build tooling and dashboards for backend teams, ensure reliability instrumentation, and own selected platform security workstreams.

Seeking a QA Engineer to develop automation tests, collaborate cross-functionally, and enhance product quality at Level AI, focusing on AI-driven testing and performance validation.

Build and own end-to-end full-stack features for real-time AI-assisted agent workflows. Implement React front-ends, Django/NestJS backends, scalable APIs, integrations with cloud and event-driven pipelines, and reusable components for customer-facing enterprise products.

Hire, train, and scale an SDR team to generate pipeline through outbound and inbound prospecting. Set KPIs, design sequences, run coaching and reviews, analyze performance, partner with marketing, own playbook and tooling, and develop SDR-to-AE career paths.

Manage end-to-end HR operations including onboarding, HRIS recordkeeping, payroll inputs, benefits and leave administration, employee engagement, performance appraisal coordination, training logistics, grievance resolution, and exit processes to ensure compliance and a positive employee experience.

The Principal AI Research Engineer will lead research on AI initiatives, design and evaluate models, establish performance benchmarks, and mentor engineers.

The Finance Manager will oversee financial planning, revenue operations, accounts payable/receivable, and corporate governance, optimizing financial management in a software startup.

As an AI Analyst, you'll drive product impact through quantitative research, conduct data analysis, optimize AI model performance, and generate business analysis reports.

The Enterprise Account Executive will build relationships with Fortune 1000 companies, manage sales processes, and conduct product demonstrations to drive sales of Level AI's platform.

Lead end-to-end implementation of AI virtual agents and CX automation: scope, configure workflows, build integrations, validate performance and guardrails, and partner with customers and product/engineering to optimize deployments.

As a Senior Backend Engineer, you will design and maintain scalable software solutions, embrace innovation with AI tools, and ensure high-quality engineering practices.

Generate qualified outbound opportunities through research, cold calling, and targeted email campaigns. Craft compelling outreach, book meetings, and use data to optimize prospecting and pipeline development.

As a Machine Learning Engineer at Level AI, you'll work on NLP challenges, develop scalable solutions, collaborate with teams, and innovate using cutting-edge ML techniques.

The Lead Software Engineer - AI Agents will design scalable backend systems for AI Agents, developing frameworks for multi-step reasoning and context management, optimizing for performance and cost-efficiency while collaborating with teams to implement best practices for observability and safety in AI systems.

Design, build, and maintain backend systems for an AI-driven contact center platform. Implement REST APIs, database schemas, ETL pipelines, caching, and background jobs; deploy and operate services on GCP using Kubernetes and CI/CD. Collaborate on architecture, ensure engineering best practices, and deliver production-grade features.

Design and implement analytical platforms with insightful dashboards, manage data warehouse schemas, ensure scalable architecture, and oversee data propagation processes.

Lead front-end development of customer and partner onboarding/operations products using React and TypeScript. Architect scalable front-end systems, build performant visualizations, integrate with backend APIs, drive engineering best practices, mentor junior engineers, and deliver enterprise B2B features end-to-end with testing and analytics.

The Senior Backend Engineer will design and maintain features for the AI platform, focusing on backend solutions, architecture, and best practices while working in an agile environment.

Build and scale real-time backend systems for AI Agents, including orchestration, memory and context management, low-latency inference pipelines, eval frameworks, event-driven workflows, APIs (REST/gRPC), and production-grade observability, partnering with Applied AI and product teams to deploy multi-tenant, enterprise AI agent platforms.