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

Supports sales enablement, process execution, account and opportunity projects, reporting, and pipeline analysis. Creates sales collateral, coordinates RFIs and proposals, maintains accurate sales information, follows up across teams, identifies workflow improvements, and builds lightweight tools and processes. The role requires strong organization, communication, analytical, presentation, problem-solving, and prioritization skills in a fast-paced, ambiguous environment.

Own product areas end-to-end across Engineering, Operations, and Research. Identify high-impact problems, understand workflows, define product direction and technical requirements, prioritize using data and feedback, partner with engineers through launch, and improve scalability and workflows as the company grows.

Lead strategic engineering projects for an applied AI research lab, partnering with major AI organizations to build data solutions. Manage specialized expert teams, define dataset specifications, drive projects from scoping through delivery, and support cross-functional operational initiatives. The role requires life-sciences engineering expertise, quantitative process and systems reasoning, strong leadership, communication, and comfort operating autonomously in ambiguous environments.

Conduct a semester-long applied AI research project with an AfterQuery mentor in areas such as data quality, post-training, agent and foundation-model evaluation, or public benchmarks. Responsibilities include formulating research questions, designing experiments, developing datasets and evaluation methods, analyzing results, documenting reproducible work, and co-authoring a publication. Scholars receive mentorship, engineering support, annotation resources, and compute access.

Support research scientists with experiments involving advanced reasoning, computer use, and agentic AI models. Interns will collect, process, and analyze proprietary datasets; develop and test algorithms; document findings; present research; and collaborate with interdisciplinary teams. The role offers opportunities to contribute to publications and work with specialized datasets and computational resources. Interns work 10–40 hours weekly depending on company needs.

Designs, validates, launches, and improves rigorous evaluations and benchmarks for frontier AI systems. The role analyzes model capabilities and failure modes using experimental and statistical methods, builds reproducible evaluation infrastructure, collaborates on post-training measurement, and communicates findings through reports, technical articles, and research papers.

Lead strategic projects for AI data solutions, managing client relationships, specialized expert teams, dataset specifications, and end-to-end execution. Coordinate contributors across technical and professional domains while supporting operational initiatives that influence foundation model training and evaluation. The role requires advanced STEM expertise, quantitative reasoning, scientific research experience, strong leadership, entrepreneurial initiative, and familiarity with data-analysis programming and LLM workflows.

Corporate Counsel will serve as AfterQuery’s first in-house legal hire, managing commercial contracts, data licensing, DPAs, employment agreements, labor-law guidance, worker classification, and HR compliance. The role partners with Sales, Finance, and People teams, triages business legal questions, maintains contract templates, and coordinates with outside counsel on specialized matters including export controls, financing, and privacy investigations.

Build end-to-end product experiences supporting expert acquisition, onboarding, assessment, matching, activation, and retention. Partner with Growth and Operations to identify bottlenecks, instrument funnels, run experiments, and improve measurable outcomes. Develop internal tools and automation, create durable product primitives, and make thoughtful tradeoffs among speed, reliability, and maintainability while working closely with founders and cross-functional teams.

Lead strategic projects for leading AI organizations, managing client relationships and specialized expert teams. Define dataset specifications that influence foundation-model training and evaluation, own projects from scoping through delivery, and support high-impact operational initiatives. The role requires structured problem-solving, quantitative analysis, strong communication, entrepreneurial initiative, and comfort operating independently in an ambiguous, fast-moving environment.