Top Tech Jobs & Startup Jobs in Los Angeles, CA

Lead and own Syllo's QA strategy, build scalable automated testing frameworks integrated into CI/CD, and drive quality across Engineering, Product, and Customer Success. Champion QA processes, measure and improve release standards, reproduce and validate complex customer issues, and leverage AI/LLM tools to modernize test generation, failure analysis, and automation to increase release confidence and reduce manual testing.

Serve as first point of contact for clients, troubleshoot product and technical issues, conduct live walkthroughs, write help content, document solutions, escalate recurring issues to product/engineering, and participate in product testing.

Lead operational execution for Product & Engineering: drive day-to-day SDLC, manage work from triage to completion, maintain GitHub Projects as source of truth, coordinate cross-functional teams, remove blockers, and improve engineering processes and delivery predictability.

The Enterprise Growth Executive is responsible for generating pipeline through outbound efforts, managing Named Accounts, and collaborating with senior AEs, focusing on market intelligence and maintaining CRM data.

The Staff Engineer will lead the Systems team, design scalable cloud infrastructure, optimize data pipelines, and ensure platform reliability and security.

The Engineering Manager will mentor a team of engineers, improve processes, collaborate with product managers, and define staffing strategies.

The Senior Content Specialist will create high-quality external and internal marketing collateral, manage the content lifecycle, and collaborate with executives to evolve brand messaging.

The Graphic Designer will create visual assets for a B2B SaaS company, translating complex technical information into engaging graphics, maintaining brand consistency, and supporting marketing efforts across various mediums.

Lead design and implementation of a production inference platform for LLMs. Define roadmap, integrate and optimize inference runtimes, manage GPU infrastructure, and build systems for deployment, autoscaling, observability, and operational excellence. Benchmark models/runtimes, partner with ML and product teams, make architectural tradeoffs, and mentor engineers to scale AI infrastructure.

Lead design and delivery of AI workflow training for internal teams and external legal clients. Build and update curriculum and recorded modules, tailor enablement for varied legal roles, collaborate with product and engineering, and recommend targeted interventions to improve client AI adoption.