Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Own Modal’s go-to-market data platform, including organization and people graphs, identity resolution, CRM schemas, Snowflake and dbt models, reverse ETL pipelines, revenue operations metrics, forecasting, attribution, and data quality systems. Partner with Data, RevOps, and Marketing to support customer context, routing, territory management, campaigns, reporting, and reliable GTM workflows.

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.

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.

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.

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.

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.