Top Tech Jobs & Startup Jobs in Los Angeles, CA

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.

Develop and support a cloud-native workload credentials management solution within a SaaS platform. Responsibilities include designing scalable full-stack services, orchestration, APIs, distributed systems, and microservices; providing technical leadership; leading projects through delivery; collaborating cross-functionally; mentoring engineers; and applying engineering best practices. The role requires extensive Go development, cloud and SaaS expertise, modern JavaScript frameworks, and experience operating enterprise systems at scale.

Own operating expense planning, budgeting, forecasting, reporting, and variance analysis. Design and support NetSuite, Ramp, and HubSpot systems while maintaining data integrity and scalable finance processes. Create dashboards and board-level reporting, use AI for recurring analysis, and translate complex financial data into actionable insights for leadership and budget owners. Collaborate cross-functionally in a fast-paced startup environment while ensuring compliance with accounting policies, GAAP, and legal requirements.

Own escalated IT support beyond Tier 1 while delivering Helpdesk projects from planning through completion. Responsibilities include troubleshooting macOS, Windows, endpoint, identity, and networking issues; identifying recurring ticket patterns; building AI-assisted and automated resolutions; managing tooling, fleet, and identity initiatives; documenting durable solutions; and collaborating with distributed teams. The role requires independent research, hypothesis testing, strong communication, and hands-on experience with modern endpoint, identity, and ITSM platforms.

Leads the internal AI portfolio, identifying and prioritizing use cases, building prototypes, preparing data and knowledge for AI, managing partners and budgets, driving adoption, and establishing governance. Partners with executives, IT, Legal, and business teams to deliver measurable outcomes while ensuring security, compliance, and responsible AI practices.