Top Tech Jobs & Startup Jobs in Los Angeles, CA

The Embedded Software Engineer will analyze and develop embedded software systems, provide customer support, and apply software engineering and cybersecurity methods.

Manage data management and analytics projects, utilizing agile practices. Coordinate with cross-functional teams to ensure successful delivery and mitigate risks.

Support and operate customer-facing iLottery and loyalty platforms with focus on Kubernetes (on-prem and cloud), GitOps-driven CI/CD (ArgoCD), container management, observability (Graylog, New Relic, ELK, Prometheus/Grafana), infrastructure automation (Ansible, Terraform), incident response, SLOs, capacity/resiliency planning, security remediation, documentation, and 24x7 on-call support.

Manage and grow distributor and channel partner relationships to drive B2B sales across industrial segments. Develop account and market plans, negotiate contracts, provide technical/training support, gather market intelligence, coordinate internal teams, and meet sales targets while resolving client issues.

Design, build, and maintain scalable ETL/ELT data pipelines and data platform architecture. Build programmatic pipelines (primarily Python), optimize analytical data models (SQL), integrate sources into Snowflake, use orchestration/transformation tools (dbt, Airflow, Dagster), improve data quality/observability, and partner with product, engineering, and analytics to deliver reliable data for decision-making.

As a Freelance Attorney with Rocket Lawyer, you will provide legal advice remotely to clients, leveraging your expertise in various legal areas and ensuring customer satisfaction.

The Senior Sales Executive develops sales strategies, manages relationships with channel partners, and drives revenue in the industrial and cybersecurity sectors.

The Backend Engineer will develop infrastructure for product integration, create documentation for team training, and influence technology decisions.

Lead end-to-end onboarding for PEO clients: build implementation plans for payroll, benefits, tax registrations and HR compliance; manage timelines, parallel payroll reconciliations, platform adoption, cross-functional handoffs, and continuous improvements to implementation tooling and documentation.

Build and productionize AI systems for logistics: multi-agent copilots, forecasting/optimization models, evaluation and observability, continuous learning loops, and operational reliability. Mentor engineers and make build-vs-rule tradeoffs while shipping high-impact ML services.