Jobs at Modal

Own full-cycle recruiting for engineering and AI/ML roles as Modal’s first dedicated technical recruiter. Partner with founders, technical leaders, and the Head of Talent to define hiring standards, develop sourcing strategies, evaluate candidates, and deliver a fair, thoughtful candidate experience. Use market data to guide searches, build trust with candidates, influence hiring decisions, and close highly technical talent while adapting to changing priorities.

As a Founding GTM Talent Partner, you will lead full-cycle recruiting for GTM and G&A roles, collaborating with leadership to shape hiring strategies and improve candidate experiences.

Serve as Modal’s first commercial lawyer, owning customer and vendor contracting across MSAs, orders, NDAs, DPAs, BAAs, procurement, SaaS, and consulting agreements. Negotiate directly with customers, support enterprise sales, build contract templates and playbooks, manage CLM workflows, and review operational policies and customer-facing materials. Partner with Sales, BizOps, Finance, Engineering, and Legal Operations while helping establish the company’s growing legal function.

Build and manage legal operations for a high-growth AI infrastructure company. Responsibilities include contract lifecycle workflows, legal intake, AI-enabled tooling, corporate records, board and stockholder administration, entity compliance, registered-agent coordination, stock administration, outside counsel management, and legal spend. The role requires building processes from scratch, configuring Ironclad or similar CLM systems, applying AI tools thoughtfully, and exercising sound judgment on escalation.

Build modern analytics infrastructure, self-service AI analytics tools, foundational datasets, and business data pipelines. Partner with teams to track product metrics, support financial and marketing reporting, identify cost savings, and improve business decisions through strategic analysis and consulting.

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.

Leads the direction and execution of Modal’s LLM inference platform. Responsibilities include managing and growing an engineering team, making technical and product decisions, guiding distributed systems and inference-serving architecture, partnering with frontier customers, shaping optimization and product roadmaps, establishing reliability standards, and collaborating with compute strategy and go-to-market teams.

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.

Build and run Modal’s UK people function as its first London-based People team member. Responsibilities include people operations, onboarding, offboarding, payroll and benefits coordination, employee support, UK compliance, HRIS data management, manager support, workplace operations, office events, vendor coordination, and local recruiting operations. The role requires autonomous ownership, strong organization, clear communication, and experience in fast-growing technology environments.

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 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 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.