Top Tech Jobs & Startup Jobs in Los Angeles, CA

Design and maintain scalable services, APIs, distributed systems, and data pipelines for AI training data infrastructure. Own systems through design, implementation, testing, deployment, and monitoring. Lead architectural decisions, improve reliability and scalability, mentor engineers, and collaborate with AI/ML, product, and data operations teams. Contribute to CI/CD, containerization, DevOps, and cloud deployment practices.

Leads the people-side implementation of manufacturing transformation initiatives, including ERP projects and standard costing deployment. Partners with finance, operations, systems teams, and manufacturing sites to embed consistent costing processes, improve data integrity, support margin visibility, and drive adoption of new ways of working. Delivers training, facilitates change, influences stakeholders at all organizational levels, and translates costing policies into practical Microsoft D365 processes.

Senior individual contributor responsible for generating and converting enterprise new-client revenue across North America. Own $10M+ net new targets, personally originate and close complex $5M–$15M engagements, lead C-suite conversations, negotiate high-value agreements, navigate procurement and legal processes, and partner with sales and finance to protect margin and scale enterprise pipeline.

Develop strategic messaging and polished website copy for B2B clients, especially technology, SaaS, cybersecurity, AI, and healthcare companies. Responsibilities include creating positioning frameworks, value propositions, messaging pillars, website content, headlines, calls to action, and persona-specific messaging. Conduct client discovery, competitive research, and stakeholder interviews; collaborate with designers, developers, strategists, and SEO specialists; edit existing copy; and ensure all deliverables are clear, accurate, differentiated, conversion-focused, and on-brand.

Lead and scale the quality assurance strategy for a remote health technology company. Manage and mentor QA engineers across Scrum teams, oversee automated and manual testing, integrate test frameworks with CI/CD pipelines, establish quality metrics, improve test coverage and environments, and ensure compliance with regulated-industry standards. Partner with engineering, product, and executive leadership to drive quality practices across the software development lifecycle.

Promotes The Orchard’s artists through digital and in-person marketing campaigns in a college town. Responsibilities include building relationships with influencers and campus organizations, managing local social media, creating content, organizing listening events and campus activations, researching audiences and promotional channels, attending shows, distributing promotional materials, and reporting campaign results.

Lead sales for SAP Embedded Payments (MBC), engaging CFOs, treasury and IT teams to sell integrated payment and connectivity solutions. Manage full pipeline from lead generation to close, craft value propositions, collaborate with presales/solution architects, build partner relationships, and represent the company at industry events.

Provides strategic consulting support to energy and climate technology clients across business development, policy, regulatory, go-to-market, and fundraising objectives. Responsibilities include researching energy markets and regulations, managing client accounts, developing memos and presentations, engaging stakeholders, shaping policy strategies, and helping clients close deals and achieve regulatory outcomes.

Manage a portfolio of B2B customers in Thailand, leading onboarding, product adoption, retention, renewals, and upsell opportunities. Build executive relationships, develop customer success plans, and collaborate with Sales, Marketing, Product, and Renewals. The role also supports business development by identifying prospects, conducting outreach, researching the Thai EdTech market, supporting localized campaigns, and tracking expansion metrics.

Lead the design, development, deployment, and operation of production AI and ML systems. Build high-throughput Python services and Databricks pipelines, support traditional ML and LLM applications, establish testing and deployment standards, and develop monitoring for quality, reliability, latency, throughput, and cost. Partner with product, research, and responsible AI teams on governance and release criteria. Provide architectural leadership, conduct code reviews, mentor engineers, and resolve complex technical dependencies.