Top Tech Jobs & Startup Jobs in Los Angeles, CA

Drive new client acquisition and revenue through high-volume lead outreach, sales strategy, CRM pipeline management, client pitches, stakeholder engagement, pricing analysis, and cross-functional collaboration to meet sales targets.

Provide platform reliability and operational support for AEM as a Cloud Service and Vercel hosting platforms. Monitor health and performance, troubleshoot incidents, manage CI/CD pipelines and deployments, maintain integrations (DAM, Workfront, Azure, Akamai), enforce governance/security, perform capacity planning, run on-call incident response, and produce operational runbooks and RCAs. Drive platform maturity, automation, and stability for modern web applications (Next.js/React).

The Business Development Representative will prospect, qualify, and generate new sales opportunities by engaging potential clients needing cloud security solutions.

Build and assemble high-fidelity interactive e-learning modules, AI-driven roleplays, and software simulations from storyboards. Manage LMS assets, ensure SCORM compliance and QA, and maintain interactive content across rapid product releases.

Produce and edit technical multimedia assets and AI-generated videos from LXDs/SME storyboards. Build demos, screencasts, graphics, and job aids; ensure QA, branding compliance, and seamless platform integration; maintain organized media libraries and rapidly update content to match product releases.

Implement and support HR Operations processes and tools, manage knowledge resources, drive continuous improvement, track metrics and dashboards, perform QA of HR service reps, and partner with COEs and cross-functional teams to improve employee experience and operational performance.

Manage and lead cybersecurity engineering teams responsible for asset protection and threat detection. Set technical direction for firewalls, endpoint/server security, DLP, vulnerability scanning, SIEM/SOAR, and threat intelligence. Partner with product, operations, infrastructure, and risk teams to prioritize engineering work, drive automation and observability, ensure operational health, and deliver measurable risk-reduction outcomes while developing and coaching staff.

Design and own end-to-end Databricks Lakehouse and AI/BI solutions across cloud platforms. Provide architecture, presales support, POCs, integration, estimations, mentorship, and technical leadership for multi-team deliveries, including batch and streaming data pipelines and GenAI integrations.

Develop, test, deploy, and support full-stack Python applications on AWS. Participate in design, estimation, code reviews, unit testing, sprint planning, and mentor junior engineers. Collaborate with architects, clients, and distributed teams to modernize applications, follow best practices, and document solutions.

Manage and grow NVIDIA partner relationships in Manufacturing and Automotive: develop business plans, drive ecosystem enablement, increase adoption of NVIDIA AI solutions, maintain executive relationships, and present results in QBRs.

Lead cross-functional compiler software programs from concept to delivery, coordinating global teams, tracking risks and schedules, and improving development processes. Present status to executives, drive Agile and Waterfall projects, resolve technical/resource conflicts, and implement process and tool automation to ensure timely product releases.

Lead product strategy and partner engagement for open community AI models. Coordinate with model builders and internal engineering to enable inference, fine-tuning, evaluation, and go-to-market activities. Drive documentation, marketing, executive launches, feedback loops, and cross-functional collaboration. Hybrid role requiring onsite presence at least three days per week.

Lead product efforts to maximize revenue per user across DTC insurance shopping and comparison funnels. Own roadmap, design and build end-to-end UI/UX, optimize form flows, run A/B tests, and improve downstream lead quality and monetization. Partner with engineering, data, and design to implement tracking, instrumentation, analytics, and backend integrations, driving measurable conversion and revenue outcomes.

Lead design and build of production Generative AI solutions (document intelligence, RAG, semantic search). Implement and optimize LLMs, embeddings, and agentic workflows, deploy on Google Cloud/Vertex AI, apply MLOps, monitor performance, and collaborate with clients to translate requirements into scalable, cost‑efficient AI systems.

Lead ideation and write concise, on-brand copy across channels (web, email, ads, social, in-product). Collaborate with designers, product, and marketing to develop messaging systems, brand guidelines, and performance-driven tests. Translate high-level strategy and digital concepts into clear, conversion-focused copy while iterating with stakeholders and AI tools.

Design, build, and maintain server-side applications and database architecture using Node.js/TypeScript and Express. Collaborate with frontend teams, improve system efficiency, implement automated tests, and deploy scalable backend features on cloud infrastructure. Contribute to code reviews and cross-functional product work in an agile, remote-first environment.