Top Tech Jobs & Startup Jobs in Los Angeles, CA

Owns the post-sale client success organization across operations and account management. This executive will build scalable onboarding, delivery, QA, service-level, reporting, and automation systems; drive retention, renewal, expansion, and revenue outcomes; unify client experiences across multiple product lines; develop senior leaders; apply AI to client-facing workflows; and represent client needs on the leadership team.

Develops predictive models, machine learning solutions, data pipelines, statistical analyses, and internal data applications. The role uses Python and SQL Server to analyze structured and unstructured data, applying NLP, classification, regression, clustering, automation, and AI/LLM techniques. Responsibilities include maintaining data science platforms, supporting cross-functional decision-making, and communicating technical findings to non-technical audiences.

Own the full sales cycle for new commercial customers, from inbound and outbound pipeline generation through deal closure and post-sale handoff. Build relationships with IT and security stakeholders, deliver product presentations and demos, manage opportunities and forecasting in Salesforce, meet revenue targets, and represent Portnox at industry events. The role requires strong enterprise or mid-market SaaS sales experience, technical knowledge of networking and cybersecurity, and excellent communication skills.

Maintain and update Salesforce participant-tracking systems, build program outcome reports, clean and organize data, and support Salesforce workflow development. The intern will learn Salesforce administration, reporting, and process design while supporting nonprofit program reporting. This is a fully remote, unpaid three-month internship requiring 5–10 hours per week, with North Carolina residency preferred and mentorship provided.

Develops and deploys production machine learning models and data products for enterprise use. Responsibilities include data mining, feature engineering, model evaluation, NLP and LLM/RAG solutions, API and pipeline integration, cloud-based deployment, model validation, A/B testing, documentation, and lifecycle management. The role translates business needs into scalable data science solutions and collaborates with product, engineering, and business stakeholders throughout the SDLC.

Build and scale the application security program by integrating SAST, DAST, and SCA tooling into CI/CD pipelines; define Secure SDLC processes and threat modeling practices; manage bug bounty triage and metrics; conduct Java and Python code reviews; deliver secure coding training; develop security champions; and support vulnerability disclosures and security communications.

Build and maintain business automation workflows using n8n, APIs, Python or JavaScript, AI tools, and integrations. Analyze business processes, identify automation opportunities, test and monitor solutions, document workflows, train teams, and measure operational impact. Partner with People Operations, Credentialing, Clinical Operations, Data, Product, and Analytics while protecting sensitive information and following security and AI governance controls.

Treasury Analyst supporting global cash management, foreign exchange, investments, financing administration, payment processing, treasury systems, audits, compliance, and process improvement. The role manages multinational cash accounts, minimizes currency exposure, optimizes interest income, supports banking partners and operating leaders, and processes approximately $1.7 billion in payments.

Owns incident triage and resolution across the member app, clinical Care Hub, internal tools, and data pipelines. Responsibilities include reproducing issues, investigating logs and code, shipping durable fixes, prioritizing technical backlogs, writing runbooks, creating alerts and automations, and communicating with members and care teams. The role requires careful handling of protected health information and close collaboration within a remote engineering team.

Leads end-to-end UX design for mortgage and financial services digital products. Responsibilities include managing design system components, conducting research and behavioral analysis, creating wireframes and prototypes, collaborating with engineering and cross-functional teams, and applying AI-assisted design workflows. The role emphasizes accessible, user-centered experiences, responsible presentation of AI recommendations, explainability, rapid iteration, and continuous improvement across digital channels.