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

Lead end-to-end development of an AI platform that automates customer interactions using LLMs, agents, APIs and human-in-the-loop feedback. Define prompt strategies, evaluation frameworks, guardrails, and metrics; partner with engineers and OpenAI to deploy voice and automation models; drive experiments to improve quality, satisfaction, and automation rates.

Lead end-to-end development of an AI agents platform that automates customer sales and service. Define roadmap, prompt strategies, evaluation frameworks, guardrails, and experimentation to improve automation, accuracy, and CSAT. Partner with engineering and OpenAI to deploy voice models and integrate Jerry.ai with ChatGPT.

Lead end-to-end development of Jerry.ai's AI platform and customer experiences, driving LLM and agent-based automation. Partner with engineering and OpenAI to design prompts, evaluation frameworks, guardrails, and voice/workflow integrations. Establish platform standards, run experiments to improve automation and answer quality, and translate technical tradeoffs across the organization to deliver scalable production-grade AI products.

Lead end-to-end development of an AI agents platform that automates inbound sales and service using LLMs, agents, and human-in-the-loop feedback. Define roadmap, prompts, evaluation frameworks, guardrails, and API/architecture standards. Partner with engineering and OpenAI, run experiments to improve automation, accuracy, latency and cost, and scale production-grade AI experiences.

Lead end-to-end development and scaling of Jerry.ai's AI platform. Define prompt strategies, evaluation frameworks, and guardrails. Partner with engineers and OpenAI to integrate models, voice capabilities, and automation, and drive experimentation to improve quality, automation rates, and customer satisfaction.

Lead end-to-end development and scaling of Jerry.ai's AI platform and customer experiences. Define prompt strategies, evaluation frameworks, guardrails, and API/system architectures; partner with engineering and OpenAI to deploy LLMs, agents, and voice models. Drive experiments to improve automation rates, answer quality, and customer satisfaction while establishing AI best practices and platform standards.

Lead end-to-end development and scaling of an AI platform that automates customer interactions using LLMs, agents, and human-in-the-loop systems. Define prompt strategies, evaluation frameworks, guardrails, and API designs. Drive experiments to improve automation, quality, and customer satisfaction while partnering with OpenAI and engineering teams to deploy production-grade models and workflows.

Lead end-to-end product development for agentic LLM systems, designing prompt strategies, evaluation frameworks, guardrails, and partnerships (e.g., OpenAI) to improve automation, accuracy, and customer satisfaction. Translate between engineering and business, run experiments, and scale production-grade AI platform capabilities.

Own a new product vertical from 0-1: scope and size markets, run customer research, build prototypes, lead product development and go-to-market, run experiments and data analysis, iterate, and hire a team. Initially ramp on existing products to learn product processes and tools.

Lead incubation of a new product vertical end-to-end: learn existing product practices, conduct market sizing and customer research, build and ship prototypes, run experiments and analytics, lead go-to-market, iterate, and hire a team to scale the business.