Top Tech Jobs & Startup Jobs in Los Angeles, CA

Senior backend engineer responsible for designing and implementing new features, scaling and optimizing the platform, improving Postgres and Elasticsearch performance, fine-tuning LLMs, and making architectural decisions. Collaborate with engineering team, take ownership of features, write performant, maintainable code, and help shape product and infrastructure for data-intensive applications (NLP, search, indexing).

Build and scale high-performance iOS and Android apps with Expo/React Native. Implement native integrations, smooth UIs and animations, automated tests, performance fixes, and collaborate with backend, design, and product teams using AI-assisted workflows.

Uses emerging and generative AI technologies to solve creative briefs and produce innovative outputs. Responsibilities include analyzing briefs, rapidly prototyping solutions, testing and integrating AI tools into studio workflows, collaborating with creative and technical teams, and continuously learning new methodologies. Candidates should demonstrate strong technology-driven creative problem-solving, generative AI fluency, experience in tech-focused environments, and a portfolio or public presence showing active experimentation.

The Manager, Business Partner provides strategic and hands-on HR leadership across employee relations, performance management, compliance, investigations, risk mitigation, and leadership development. The role coaches managers, leads talent calibration and performance improvement processes, analyzes employee relations trends, manages cases in NAVEX, supports organizational transitions, and promotes an inclusive, accountable workplace culture. This position partners with legal and compliance teams and uses behavioral assessment insights to improve team effectiveness.

Serves as a trusted advisor to business stakeholders, leading discovery, problem definition, requirements development, cross-functional alignment, UAT strategy, post-deployment validation, and change management. Owns domain process maps, business rules, documentation, and AI-assisted workflow governance. Mentors business analysts, improves BA standards, identifies functional opportunities, and supports strategic initiatives involving CRM and data platforms.

Manage cross-functional client pipeline projects from kickoff through completion, coordinating sales, marketing, and operations stakeholders. Own Asana project boards, timelines, deliverables, risks, and scope across 3–6 client accounts. Support client strategy and account management conversations, translating business goals and campaign performance insights into actionable plans. The role requires strong communication, organization, strategic thinking, and familiarity with B2B SaaS, digital marketing, demand generation, paid media, creative, and CRM platforms.

Develop user interface and user experience designs using Figma, requiring at least six years of experience. Candidates must be eligible to work in the United States.

Build agentic LLM systems that acquire, clean, validate, curate, and document large-scale biomedical datasets for multimodal model training. Develop reliable agent architectures, tooling, evaluation harnesses, quality-control workflows, and reproducible data pipelines. Collaborate with ML scientists, monitor distributed production pipelines, diagnose failures, and implement secure sandboxed execution with restricted access and audit logging.

Own quality engineering for high-throughput payment systems by architecting automated regression, performance, stress, and load testing. Build emulators for external payment systems, integrate quality gates into CI/CD pipelines, validate microservices, event-driven architectures, and databases, and use Prometheus and Grafana for observability. Apply AI-assisted testing, synthetic data generation, and edge-case analysis while mentoring engineers and preventing incidents through telemetry-driven testing and post-mortems.

Lead client discovery and executive engagement to identify high-value AI and data opportunities. Translate ambiguous business problems into use cases, hypotheses, MVP scopes, business cases, and measurable KPIs. Facilitate workshops, prototype solutions using AI-assisted and low/no-code tools, and partner with technical teams to develop scalable solutions. Manage client alignment, scope, risk, adoption, and change communication while connecting technology investments to business value.