Top Tech Jobs & Startup Jobs in Los Angeles, CA

Support a global 24x7x365 security operations team by monitoring systems and networks, investigating threats and incidents, responding to phishing, malware, breaches, and cyberattacks, deploying countermeasures, analyzing post-event activity, assessing vulnerabilities, and improving security protocols. The role requires familiarity with cloud security controls, network protocols, operating systems, scripting, web technologies, penetration testing tools, and threat intelligence.

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.

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.

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.

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.

Own Sparrow’s product marketing strategy, including positioning, messaging, website copy, product and feature launches, market and buyer research, win/loss analysis, ideal customer profile refinement, and competitive intelligence. Partner cross-functionally with Marketing, Product, Revenue Enablement, Sales, and Account Management to support growth and develop sales training and enablement materials for a B2B SaaS product.

Own relationships and net revenue retention across 40–60 enterprise healthcare customers. Drive adoption, renewals, upsells, and cross-sells through account planning, executive check-ins, QBRs, forecasting, and consultative partnership. Monitor account health using Freshpaint, Looker, and HubSpot; coordinate cross-functionally to remove blockers and improve customer outcomes. Travel up to 30% for onsite visits, conferences, and company events.

Leads a full-stack engineering team building AI-powered products and workflows for go-to-market functions. Responsibilities include engineering strategy, architecture, reliability, security, hiring, performance management, cross-functional discovery, prototyping, production delivery, and measurement. The role owns integrations across Salesforce, data platforms, product systems, and AI services while delivering measurable improvements in revenue, conversion, productivity, or quality.