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

Leads finance, people operations, legal, compliance, and administration for a rapidly growing AI company. Responsibilities include financial modeling, forecasting, monthly close, board reporting, cash-flow management, spend controls, vendor approvals, budgeting, performance management, onboarding, offboarding, background checks, immigration processes, all-hands meetings, and employee engagement. The role partners with outsourced accounting, legal, and insurance providers while building scalable operational infrastructure.

Research and develop multimodal foundation models that integrate sensor, time-series, language, vision, and audio data. Define problems, design experiments, build and evaluate models, advance architectures and training strategies, and scale research into production systems for physical-world and industrial applications. The role requires independent scientific judgment, end-to-end modeling experience, experimental rigor, and model deployment expertise.

Own demand generation strategy and marketing-sourced pipeline targets. Build evidence-based account programs, self-serve and agent-first funnels, multi-channel campaigns, event and partner programs, and an AI-native demand stack. Partner with Sales, RevOps, Product Marketing, and Communications while hiring and leading a growth marketer. The role requires extensive B2B demand-generation experience, hands-on use of Salesforce, HubSpot, Clay, and HeyReach, and the ability to market complex technical products to industrial and technical buyers.

Supports the CEO and COO by managing complex calendars, travel, expenses, correspondence, and confidential information. Oversees San Mateo office operations, vendors, deliveries, guests, onboarding logistics, interviews, team events, and offsites. Handles HR administration and cross-functional projects while developing scalable operational processes. The role requires exceptional organization, discretion, communication, and comfort working in a fast-paced technology startup.

Design, train, and interpret foundation models for multimodal real-world sensor data. Develop representation learning, multimodal alignment, self-supervised learning, and model adaptation methods. Diagnose limitations, conduct experiments, collaborate with engineering and product teams to productionize research, and publish findings at leading machine learning and sensing conferences.

Leads demand generation strategy and marketing-sourced pipeline for an early-stage AI company. Owns ICP development, account-based marketing, self-serve and agent-first funnels, multi-channel campaigns, events, partner programs, and pipeline targets. Builds an AI-native demand stack, collaborates with Sales, RevOps, Product Marketing, and Communications, and hires and manages growth marketing talent.

Own the production serving path for multimodal AI models, including Rust inference runtime nodes, GPU kernels, routing, batching, streaming, quantization, observability, and low-latency optimization. Productionize research checkpoints and improve GPU utilization, numerical precision, latency, and cost while collaborating closely with researchers.

Build and operate backend platform capabilities including REST APIs, SDKs, agent runtimes, multi-tenant ingestion, and GPU job orchestration. Design resilient services for cloud, customer VPC, on-premises, and edge deployments. Own observability, reliability, SLOs, debugging, and on-call operations while translating AI research into production infrastructure. Senior engineers also drive architecture and engineering standards.

Design, train, and interpret foundation models for multimodal sensor data. Develop representation learning, multimodal alignment, self-supervised learning, and model adaptation methods. Diagnose limitations and failure modes, design experiments, and collaborate with engineering and product teams to translate research into production systems.

Own full enterprise sales cycle for physical AI platform: drive net-new business and expansions, manage complex seven-figure deals, build executive relationships, inform GTM/product strategy, meet quarterly revenue targets, and maintain CRM/account plans.