Top Tech Jobs & Startup Jobs in Los Angeles, CA

Fine-tune and align LLMs for specialized financial tasks; build agentic solutions with LangChain/Autogen; engineer ML pipelines for large financial datasets; deploy, monitor and scale production models; track AI research and integrate emerging tooling.

Build and own lifecycle communication programs across onboarding, adoption, retention, and expansion. Define behavioral segments and triggers, write customer messaging, launch campaigns, measure outcomes in Mixpanel, and optimize through experimentation. Collaborate with Marketing, Product, Customer Success, and customer-facing teams. Help establish scaled digital customer success programs and pilot AI agents for personalized customer interactions.

Leads Commercial Strategy and Operations processes, including reporting, OKR management, forecasting, and planning. Translates business priorities into actionable plans, manages complex cross-functional initiatives, develops executive and Board materials, and provides data-driven insights to Commercial leaders. The role also improves processes, systems, and reporting while managing stakeholder communication, risks, dependencies, and implementation.

Affiliate referral opportunity for well-connected professionals who can introduce qualified U.S.-based companies to Mode. Referrers identify companies with at least 20 employees and three years of operating history, connect decision-makers with Mode, and earn at least $50,000 or 6% of customer sign-up revenue for successful referrals. No full-time commitment or exclusivity is required, and participants may pursue additional sales involvement, commissions, and equity opportunities.

Leads enterprise business development and complex B2B sales across the Southern US. Responsibilities include creating growth strategies, securing and expanding enterprise accounts, managing consultative sales cycles, developing proposals, negotiating contracts, forecasting pipeline, meeting revenue targets, and coordinating with Product, Client Success, Operations, and implementation teams. The role requires executive relationship management, technical solution selling, strategic account planning, and experience selling hardware-enabled services.

The DevOps Engineer will manage and optimize production platforms, improve system reliability, troubleshoot degraded services, and enhance internal processes. Responsibilities include building CI/CD pipelines with Jenkins and AWS, maintaining Docker-based infrastructure, managing cloud and container platforms, strengthening security, and improving monitoring and logging with tools such as New Relic, Splunk, and Tenable. The role requires collaboration, documentation, system-level troubleshooting, and client-facing communication.

As a Software Engineer on the Edge team, you will own edge networking configuration, manage DNS, and improve observability while shaping the team's engineering practices.

Develop pricing strategies, commercialization recommendations, market research, competitive intelligence, financial models, and executive analyses for veterinary technology products. The role evaluates pricing models, product costs, customer willingness to pay, market opportunities, margins, and revenue impacts while partnering with Product, Finance, Commercial, Operations, M&A, and executive teams on launches, strategic planning, partnerships, and portfolio decisions.

Own software product work from problem definition through launch and follow-up. Prioritize user and business needs, define scope and success measures, collaborate with design and engineering, manage stakeholder requirements, support testing and release readiness, communicate launches, and use post-launch data and feedback to guide improvements. This is a hands-on, fully remote individual contributor role supporting education technology products.

Own the operational health, observability, reliability, and failover of AI model providers and endpoints. Build SLO monitoring, canaries, quality regression detection, automated provider-operations tooling, and load-testing systems. Lead incident response, communicate with external providers, produce reliability scorecards, and drive postmortems and corrective actions. Support capacity planning and launch readiness for high-volume LLM inference traffic.