Top Tech Jobs & Startup Jobs in Los Angeles, CA

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.

Own top-of-funnel recruiting for engineering and product roles by sourcing, engaging, and pipelining candidates across AI/ML, full-stack, backend, infrastructure, and data engineering. Maintain candidate records and outreach activity in Ashby, collaborate with recruiters on priorities, and use AI tools and automation to improve sourcing workflows during a three-month contract.

Leads the payer business unit’s sales strategy, revenue growth, market penetration, client satisfaction, and margin performance. Builds and scales high-performing sales teams, establishes forecasting and performance disciplines, develops go-to-market strategies, and integrates commercial capabilities including marketing, communications, partnerships, and proposals. Partners with executives on strategic initiatives, market positioning, risk management, and financial performance across a complex healthcare technology environment.

Own strategic enterprise customer relationships from pilot through adoption, renewal, and expansion. Build account plans, engage executive sponsors, lead business reviews, support deployments, drive commercial expansion, manage escalations, provide product feedback, and develop customer case studies. The role also helps establish the enterprise customer success playbook and requires 30–50% travel.

Evaluate AI models for cybersecurity risks by crafting adversarial prompts and multi-turn attack chains. Assess model-generated malware, exploit code, phishing content, privilege-escalation scripts, and other offensive tooling for functional correctness and real-world exploitability. Score responses using harm taxonomies, document technical findings, develop evaluation frameworks, and collaborate with AI researchers, red teamers, and policy teams to improve model safety.