Top Tech Jobs & Startup Jobs in Los Angeles, CA

Leads the strategy, architecture, and implementation of AI-enabled QA capabilities across internal practices and client engagements. Responsibilities include researching AI QA technologies, designing reference architectures, supporting sales and delivery, developing reusable accelerators, managing technology partnerships, creating marketing collateral, and mentoring QA teams. The role requires extensive QA and automation experience, hands-on AI/ML or GenAI expertise, consulting ability, executive communication, and experience with proposals, proofs of concept, demos, and technical solutioning.

Conduct full-cycle recruiting for technical and digital experience roles, especially Adobe Experience Cloud positions. Partner with hiring managers, define candidate profiles, source through LinkedIn Recruiter and Boolean searches, screen applicants, manage pipelines, coordinate interviews, support offer negotiations, maintain ATS data, and report recruiting progress. The role requires deep Adobe ecosystem recruiting expertise and strong stakeholder communication.

Lead Recruiter sources, screens, and hires healthcare professionals using job boards, social media, and ATS. Partners with hiring managers, schedules interviews, negotiates offers, manages onboarding, maintains candidate records, and represents the company at recruitment events to expand the talent pipeline.

Leads multiple engineering teams delivering AI-powered data connectivity solutions. Owns execution, delivery, technical direction, operational reliability, and cross-team coordination. Develops engineering talent through coaching, hiring, and performance management while partnering with Product and Engineering leadership on priorities and organizational planning. Guides architecture, cloud-native development, incident response, SLOs, and AI-assisted software development practices. Requires strong Java/Kotlin expertise, cloud architecture experience, and technical judgment across distributed systems.

Own and operate the data plane: develop Envoy/WASM filters for deep packet inspection, deploy and manage EKS workloads with Helm/GitOps and CI/CD, integrate Redis sidecars, provide observability (Prometheus/Grafana/OpenTelemetry), ensure reliable audit log streaming, and author ADRs as the data plane evolves.

Lead design, development, and deployment of LLM-powered solutions and autonomous procurement agents on the GEP AI platform. Advise stakeholders, run workshops, configure platform ontologies and data pipelines, optimize models for procurement tasks, and oversee cross-functional implementation to drive automation and improved procurement decision-making.

Lead project finance and financial architecture for a distributed AI infrastructure platform. Build integrated and site-level financial models, structure SPVs and capital arrangements, evaluate real-estate and equipment financing options, analyze project returns and deployment economics, and support investor fundraising. Establish finance processes, controls, reporting, and decision tools while coordinating legal, tax, accounting, infrastructure, real-estate, financing, and investment partners.

Support social media presence by creating, editing, scheduling posts; engaging followers; tracking analytics; helping run campaigns; maintaining content calendars and healthcare-relevant, compliant content.

Build and maintain a Canadian Records of Processing Activities program for a global retailer. Lead discovery sessions across 10–12 business units, document systems and data practices, adapt global ROPA templates, track deliverables across 24+ stakeholders, and communicate independently with senior executives. The role requires hands-on ROPA experience, privacy or GRC expertise, strong organization, stakeholder management, and familiarity with North American privacy regulations.

Lead engineering team to develop AIPerf, an open-source benchmarking tool for LLM inference performance, while overseeing technical direction and mentoring engineers.