Jobs at Modal

Develop and maintain Modal’s technical documentation architecture, content standards, style guides, and automated quality-enforcement pipelines. Collaborate with product and engineering teams to produce accurate developer content, validate code examples and prose, and innovate documentation formats and delivery channels for improved agent productivity. The role requires engineering or developer relations experience, strong technical writing or editing skills, familiarity with agentic engineering workflows, and comfort with version control, CI/CD, and testing.

Own a book of technical customer accounts, drive retention and revenue expansion, and help build Modal’s account management function. Partner with developers, ML teams, executives, Sales, Solutions Architects, FDEs, Support, and Product. Develop account plans, expand customer use cases, standardize platform adoption, translate technical needs, and provide customer feedback to product teams. The role requires strong commercial instincts, technical fluency, hands-on AI experience, ownership, rapid learning, and cross-functional collaboration.

Own Modal’s talent events, internship program, career-fair presence, and university relationships. Manage programs end to end, including strategy, recruiting timelines, project scoping, mentorship, budgets, vendors, employee ambassadors, and post-event reporting. Partner closely with recruiting, hiring managers, marketing, universities, bootcamps, and community organizations to build scalable programs that improve hiring outcomes and candidate experiences.

Lead and scale an enterprise sales team to drive strategic revenue growth. Own full enterprise sales cycles, coach AEs, build playbooks and forecasting, collaborate cross-functionally, drive pipeline and establish processes and metrics to ensure consistent quota attainment.

Own end-to-end revenue operations for a regional sales territory: lead routing, territory strategy, capacity forecasting, deal desk support, commission administration, closed-won handoffs, and build dashboards and workflows to improve CRM hygiene, pipeline visibility, and sales efficiency.

PhD research interns will develop and evaluate methods for large-scale model training, optimization, and inference. Work includes improving long-context/horizon capabilities, inference-time efficiency, robustness, and translating research into working implementations across research and engineering teams.

The role involves managing procurement of GPU and CPU capacity, building supplier relationships, evaluating options, negotiating contracts, and collaborating with engineering for specifications.

The Business Operations Manager will drive growth programs, manage strategic partnerships, support financial operations, and implement new tools for efficiency.

Own technical strategy for large enterprise accounts, drive multi-product adoption and complex sales cycles, architect cloud-to-serverless migrations, design POCs, navigate security/compliance and procurement, mentor peers, and influence product roadmap.

The Support Engineer will assist customers by responding to inquiries, troubleshooting technical issues, and collaborating with engineering teams while improving support documentation and user experience.

The AI Field Engineer will drive technical sales success by partnering with sales teams, designing solutions, conducting demos, and addressing customer needs in AI/ML infrastructure.

Drive new business and manage the full sales cycle for enterprise deals in AI infrastructure, building relationships and shaping sales processes.

Partner with sales to drive technical enterprise deals: lead discovery, design solutions, run demos and POCs, address security/compliance and integrations, build trusted technical relationships, and liaise with product/engineering to inform roadmap and support implementation and contracting.

Design and build high-fidelity detections, lead incident investigations and response automation, develop security tooling and telemetry, and partner with engineering teams to improve platform observability and resilience, leveraging AI/LLMs where useful.

Manage end-to-end employee lifecycle from onboarding through offboarding, serve as first contact for HR questions, maintain self-service resources, support People program rollouts, run employee experience events, and process employee changes accurately while building scalable People operations processes and documentation.

The role involves creating technical content for developers, leveraging a data-driven approach, and collaborating with various teams for documentation and updates.

Lead and manage a team of engineers focusing on building and optimizing large-scale distributed systems and cloud infrastructure solutions.