Top Tech Jobs & Startup Jobs in Los Angeles, CA

Designs and develops mechanical product assemblies, fixtures, enclosures, and manufacturing processes for predictive-maintenance products. Responsibilities include SolidWorks modeling, component DFM/DFA, BOMs, drawings, material selection, prototype building and testing, structural integrity, regulatory compliance, and production readiness. The role coordinates with internal teams, supply-chain partners, and manufacturers while managing schedules and communicating progress on a distributed remote team.

Conduct continuous manual penetration testing across network, web application, cloud, and social engineering attack surfaces. Pursue findings through post-exploitation, lateral movement, privilege escalation, and business-impact validation. Communicate results to technical and non-technical clients, lead debriefs, improve team tooling, direct AI and automation, mentor junior testers, and collaborate with R&D to operationalize repeatable techniques.

Build and operate production AI agents, including autonomous coding systems, retrieval and knowledge layers, MCP tooling, evaluation frameworks, and secure LLM workflows. Improve model cost, latency, reliability, and observability on AWS Bedrock while integrating Snowflake, documentation, knowledge graphs, Jira, Slack, and developer workflows. Responsibilities include prompt and model evaluation, security hardening, design documentation, code review, mentoring, and on-call ownership.

Owns financial-systems strategy and execution across a network of subsidiaries. Responsibilities include selecting and standardizing ERP platforms, leading implementations and transitions, defining governance for complex accounting scenarios, evaluating vendors, troubleshooting system issues, and advising leadership on technology investments. The role requires hands-on NetSuite expertise, broad financial-systems knowledge, strong architectural judgment, and the ability to collaborate with finance teams, vendors, consultants, and executives.

Provide in-house legal counsel for procurement, supply chain, logistics, operations and real estate across North America. Draft, review, and negotiate vendor and service agreements, manage vendor disputes and pre-litigation issues, support M&A due diligence, develop contracting templates and playbooks, and advise on operational risk, compliance, and strategic transformation initiatives.

Join Impact Scale’s ongoing talent network for potential future opportunities in growth and strategy, creative production, or technology and engineering. The company seeks affiliate managers, media buyers, campaign managers, video editors, content creators, back-end developers, and software engineers. This is a talent pipeline rather than an application for a specific immediate opening.

Build and deploy production-grade AI applications and agentic systems for client organizations. Translate ambiguous business needs into architectures, prototypes, workflows, APIs, data pipelines, and scalable products. Engineer agent harnesses, orchestration graphs, evaluations, observability, safeguards, and human controls. Collaborate directly with clients and cross-functional teams, troubleshoot complex environments, communicate technical trade-offs, and support workshops and pre-sales. Occasional travel may be required for client engagements.

Drive enterprise SaaS growth by sourcing and qualifying opportunities, engaging executive stakeholders, leading consultative sales cycles, closing seven-figure deals, forecasting pipeline, and exceeding revenue targets. The role requires technical and value-based selling across marketing, IT, ecommerce, and customer experience functions, with cross-functional collaboration across Sales Engineering, Product, Marketing, and Leadership.

Leads enterprise AI solution strategy, architecture, pre-sales, and implementation delivery for customers across the Americas. Defines AI use cases, validates feasibility, designs scalable architectures, guides Professional Services teams, and resolves complex technical challenges. Develops AI service offerings, methodologies, reusable assets, and enablement programs while mentoring architects, consultants, and project leaders. Requires deep experience with enterprise transformations, LLMs, multi-agent systems, generative AI, data architecture, cloud platforms, and production AI deployments.

Designs and operates production ML and LLM platforms, including training, evaluation, deployment, monitoring, CI/CD, observability, governance, guardrails, and cost controls. Builds secure, compliant healthcare AI systems on GCP using Vertex AI, containers, Kubernetes, and Cloud Run. Requires strong Python, ML engineering, LLM production experience, and expertise in model lifecycle management, data provenance, privacy, and regulated environments.