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

Lead AfterQuery's expert marketplace: own strategy across acquisition, matching, activation, retention, and quality. Manage sourcing, onboarding, and staffing operations; build scalable supply systems and product requirements with Engineering. Establish metrics and dashboards, improve conversion and liquidity, and design the long-term marketplace organization.

Perform outbound prospecting and qualify leads for frontier AI labs. Research contacts, run multi-channel outreach (email, LinkedIn, X, events), maintain CRM hygiene, and develop outbound playbooks with founders. Articulate product value (data → model improvement) and hand off qualified pipeline to sales team.

Design and build security and infrastructure systems for an AI data platform: detect and respond to security events, automate security workflows, harden cloud and production environments, enforce access control, integrate security into development workflows, own incident handling, secure data and model interaction layers, and contribute to human-in-the-loop systems and core internal tooling.

Manage projects and client relationships for frontier AI labs, coordinate expert contributors, design dataset specifications, and drive end-to-end execution across engineering, operations, and strategy to deliver high-impact data solutions.

Lead legal-focused projects for frontier AI labs: scope client needs, recruit and manage practicing attorneys, design legal reasoning datasets and evaluation rubrics, define grading standards for legal correctness, and own end-to-end delivery in a fast-moving environment.

Design and build scalable data infrastructure for AfterQuery Experts site. Collaborate with research, product, and design to ship features, write maintainable code, participate in reviews, solve scalability and reliability challenges, and contribute to core infrastructure for data and evaluation used by frontier AI labs.

Own expert support for a frontier-AI expert network: manage queues and SLAs, resolve payment and project disputes, document and surface trends, build playbooks and escalation policies, and partner with operations and growth to reduce support volume and improve contributor experience.

Serve as primary relationship owner for strategic frontier AI lab customers, driving retention, expansion, renewals, and commercial negotiations. Build account management and customer health processes, run executive reviews, surface customer feedback to product and engineering, and lead cross-functional initiatives to shape customer engagement at scale.

Build production ML and data systems to measure and improve data quality. Develop expert-matching, quality prediction, anomaly detection, and evaluation infrastructure. Convert messy signals into models, metrics, and product improvements while partnering with engineers and domain experts and owning systems from design to deployment.

Own HR operations including payroll, benefits, compliance, HRIS integrity, and employee relations. Build HR infrastructure 0→1, create policies, manage investigations, and partner with finance and leadership to keep the company compliant and supported.