Top Tech Jobs & Startup Jobs in Los Angeles, CA

Bring companies to Refer by identifying hiring organizations, pitching the AI career agent, and converting them into signed customers. This commission-only role offers complete schedule and location flexibility, with earnings based on each company acquired and no base salary or commission cap.

Provides bilingual Portuguese customer support by answering inquiries, explaining products and services, troubleshooting issues, resolving complaints, and documenting customer interactions. Maintains current product knowledge and delivers professional service remotely. Candidates must be U.S. residents, at least 18, have a high school diploma or equivalent, pass background and drug screenings, and meet specified home-office technology requirements.

Lead enterprise customer onboarding and software implementations, translating business requirements into system designs and guiding launches through project milestones. Train customers and internal teams, manage VP and C-suite stakeholders, resolve implementation challenges, and collaborate across Support, Integration, Product, and Sales. Drive continuous improvement, change management, and customer success while working with configurable QMS and frontline-worker software in regulated industries.

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.

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.

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.

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.

Lead AI consulting growth in the energy, oil and gas sector by advising executive clients, originating and expanding enterprise engagements, shaping AI use cases, managing commercial lifecycles and P/L, and overseeing delivery. Build strategic account plans, guide cross-functional consultants and technical teams, support thought leadership, and translate operational challenges into scalable solutions such as predictive maintenance, computer vision, safety automation, document processing, and digital twin pipelines.

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.