Top Tech Jobs & Startup Jobs

Manage Clear Street Retail’s high-volume commercial contracting process from drafting through signature and renewal. Prepare and review agreements, coordinate Legal, Compliance, Finance, Procurement, Privacy, and Security stakeholders, maintain contract records, track obligations and renewals, and improve workflows through templates, intake forms, reporting, contract management software, automation, and approved AI tools.

Support internal audit planning, fieldwork, control testing, workpaper documentation, reporting, and continuous monitoring across risk, compliance, operations, finance, and technology. Evaluate internal controls, identify risks and weaknesses, collaborate with stakeholders, contribute to audit methodology improvements, and assist with advisory reviews, special projects, and regulatory initiatives in a technology-enabled financial services environment.

Build and maintain scalable Java services for Clear Street’s cloud-native brokerage platform. Responsibilities include developing authentication, authorization, and client data services; solving complex distributed-systems and data challenges; designing performant APIs; mentoring engineers; defining technical standards; and promoting strong system-design and DevOps practices.

Manage intraday and end-of-day risk exposures, margin requirements, stress-testing methodologies, and risk limits for active trading clients across equities, options, and international markets. Engage directly with professional traders, conduct account reviews, support onboarding, execute liquidation trades when needed, develop risk reporting, and collaborate with technology, product, and operations teams to enhance risk infrastructure and policies.

Supports global tax operations through daily tax record maintenance, W-8/W-9 validation, U.S. withholding calculations, reconciliations, information return filings, audit and IRS inquiries, system testing, and process improvements. The role requires knowledge of U.S. tax reporting obligations, broker-dealer and custodial operations, large-data analysis, and tax reporting systems.

Own and evolve the design system for a new retail trading platform, including token architecture, Figma Variables, component libraries, Code Connect mappings, documentation, accessibility, and governance. Partner closely with product managers, designers, and engineers to resolve design-to-code gaps and inform product decisions. Use AI tooling to improve workflows and work independently in an early-stage design organization.

Own product design for retail trading surfaces including research, order entry, position management, and portfolios. Collaborate closely with engineers and product managers, prototype in the real codebase using AI tooling, contribute to the design system, and influence product decisions. Requires experience shipping mobile retail trading products involving real-money transactions, strong understanding of trading mechanics, excellent design craft, autonomy, and low ego. Options or derivatives, consumer fintech, and design system experience are preferred.

Own the mobile product design experience across key surfaces for a new retail trading product. Design iOS and Android experiences, collaborate closely with engineering, prototype in the codebase using AI tooling, contribute mobile-first design system patterns, and maintain cohesion between web and mobile. The role requires strong product design fundamentals, deep native mobile craft, autonomy, and effective cross-functional collaboration.

Architect and build a high-performance trading platform for active traders. Develop responsive web interfaces integrating real-time market data, low-latency execution workflows, and advanced trading tools. Collaborate with cross-functional engineering teams on large-scale initiatives, emphasizing scalability, performance, API quality, maintainability, developer experience, and end-user usability.

Own the reliability and quality of an AI copilot for a trading platform. Build evaluation frameworks, benchmarks, quality gates, monitoring, incident response, and model improvement workflows. Partner with engineering and product to create safe, auditable tool interactions and improve assistant behavior. Develop domain expertise in trading, risk, margin, execution, and portfolio reasoning while operating across model, backend, and frontend systems.