Top Tech Jobs & Startup Jobs in Los Angeles, CA

Build and operate high-throughput data pipelines, analytics engines, analytical databases, and AI platforms for quantitative trading teams. Develop streaming and batch systems, trading metrics, time-series models, monitoring, RAG pipelines, prompt-management tools, and production AI agents. The role requires strong Python and Java engineering, AWS and Kubernetes expertise, advanced SQL, financial data experience, and a focus on reliability, scalability, data integrity, and performance.

Design end-to-end consumer prediction-market experiences across sports, finance, politics, culture, and entertainment. Own customer journeys, prototypes, product strategy, design quality, and shared design systems. Use research and product data to guide decisions, collaborate with Product and Engineering, present direction to senior stakeholders, and ship multiple workstreams while balancing trust, clarity, engagement, and technical constraints.

Design and operate Go backend services for listing and settling prediction-market contracts. Lead migration from Python and Airflow, build provider data pipelines, reconcile events idempotently, and develop resilient settlement logic for failures and corrections. Establish engineering standards, make architecture decisions, mentor engineers, participate in on-call and incident response, and collaborate with trading, compliance, operations, and product teams.

Build and operate Go backend services for a CFTC-regulated prediction markets platform. Responsibilities include migrating Python and Airflow workflows, integrating sports and market data providers, implementing reliable settlement logic, managing corrections and edge cases, building React and TypeScript operator tools, contributing to technical design and reviews, owning features through production, and participating in on-call support.

Owns end-to-end email operations and lifecycle campaigns while leading MarTech strategy, CDP configuration, data integrations, audience segmentation, reporting, deliverability, and AI productivity initiatives. The role develops scalable templates, tracking frameworks, operational standards, and technical specifications while partnering with CRM, Product, Marketing, Strategy, and Research stakeholders. It requires strong coding, SQL, experimentation, compliance, documentation, and cross-functional project management skills.

Owns web and mobile marketing tracking architecture, ad-platform signal routing, attribution, incrementality testing, LTV and cohort analysis. Partners with Engineering, Data, Product, and Growth teams on data pipelines, advanced SQL, dashboards, documentation, and technical requirements. Uses GA4, GTM, AppsFlyer, Firebase, Databricks, and Tableau to improve user acquisition measurement, data quality, privacy compliance, and campaign performance.

Lead the evolution of trading infrastructure by managing trade operations, P&L attribution, risk monitoring, data integrity, and performance reporting. Develop Python- and machine-learning-based AI agents, MLOps workflows, anomaly detection, predictive risk models, automated reconciliations, and real-time dashboards to transform manual trading operations and improve risk analysis.

Own the Crypto.com App Trading roadmap and deliver retail crypto trading products from discovery through launch and iteration. Define product strategy, specifications, milestones, and prioritization; conduct user research; analyze trading behavior and funnels; coordinate Engineering, Design, QA, Analytics, Marketing, Compliance, and Growth; and make tradeoff decisions. The role requires end-to-end ownership of scaled crypto or perpetuals products, data-informed prioritization, cross-functional leadership, and effective use of AI development tools.

Own the end-to-end customer onboarding and growth roadmap for Crypto.com’s regulated app, including account opening, KYC, activation, referrals, incentives, and time-to-value. Extend onboarding capabilities across products and markets, improve funnel conversion through experimentation and analytics, and take ownership of trading-product initiatives connecting onboarding to first trade. Lead Engineering, Design, Compliance, Marketing, and Trading stakeholders while independently prioritizing and delivering through regulatory and operational ambiguity.

Designs, develops, and maintains cloud infrastructure, monitoring tools, CI/CD pipelines, Terraform, Kubernetes, and disaster recovery solutions. The role automates operations, contributes to architecture, supports high availability and low latency, and collaborates with cross-functional teams across global time zones.