Top Tech Jobs & Startup Jobs in Los Angeles, CA

Design and implement secure flow-of-funds, custody, and settlement systems for a Solana-native yield-bearing stablecoin. Build on-chain minting/redemption, integrations with DEXs, lending markets, custodians, and bridges; develop institutional-grade key management and failure-handling for cross-chain and off-chain settlement.

Leads DISCO’s machine learning research strategy, directs advanced algorithm and methodology development, oversees large-scale research programs, and manages research teams. Collaborates with industry partners and cross-functional stakeholders to apply machine learning to real-world challenges. Develops long-term research plans, mentors researchers, optimizes research processes, and contributes to the broader research community through publications, presentations, and industry engagement.

Lead the creative direction and evolution of a consumer brand across TV, paid social, web, direct mail, packaging, and social channels. Build a consistent brand system, create high-quality work personally, develop performance-focused paid social creative, manage agencies and production budgets, and build a scalable creative team. Partner closely with growth leadership to connect creative quality with customer acquisition performance and establish broad awareness among American seniors and their families.

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.