Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Lead fraud detection, anti-money laundering, sanctions compliance, and financial crime initiatives. Responsibilities include designing AML and fraud frameworks, configuring Featurespace ARIC and Navaera, developing transaction monitoring and risk detection strategies, ensuring global regulatory compliance, and advising on fraud prevention and financial crime mitigation.

Supports UX/UI design for web and mobile applications by creating wireframes, mockups, prototypes, UI layouts, visual assets, and design updates. Collaborates with senior designers, product, and engineering teams; maintains design systems and asset consistency; participates in design reviews; and applies UX/UI best practices while developing foundational product design skills.

Build and maintain scalable full-stack web applications across frontend and backend systems. Develop responsive interfaces, reusable components, backend services, APIs, database and third-party integrations. Collaborate with engineers, product managers, and designers to deliver features, resolve issues, optimize performance, and improve usability. Write tested code, participate in code reviews and Agile processes, and support deployments and CI/CD pipelines.

Performs manual testing for web, mobile, and API applications, including functional, regression, smoke, and UAT support. Documents and tracks defects, validates fixes, reviews requirements, develops test cases, maintains testing records, and collaborates with product and development teams during Agile delivery.

Lead enterprise AI transformation and infrastructure optimization initiatives. Define AI strategy, oversee machine learning models and pipelines, integrate AI into cloud workflows, drive automation, and lead cross-functional AI and engineering teams, including agentic AI initiatives.

Oversee end-to-end ServiceNow implementation and enhancement projects, including scope, schedules, budgets, risks, dependencies, and delivery roadmaps. Lead distributed cross-functional teams, align business requirements with technical execution, and facilitate Agile ceremonies. Manage stakeholder communication, project reporting, resource planning, and issue resolution while ensuring successful delivery in a fast-paced enterprise IT environment.

Designs, develops, deploys, and optimizes machine learning models and AI solutions for enterprise automation, analytics, and decision-making. Analyzes datasets, improves data pipelines, collaborates with cloud and engineering teams, supports AI-driven workflows, contributes to solution design, and documents technical processes. The role requires Python, machine learning frameworks, cloud platform experience, SQL, APIs, and knowledge of MLOps and AI deployment pipelines.

Leads enterprise cybersecurity strategy, architecture, risk management, compliance, incident response, vulnerability management, IAM, cloud and application security, and DevSecOps implementation. The role coordinates audits and penetration testing, embeds security into CI/CD pipelines, guides secure cloud architecture, and mentors security engineers and analysts while partnering with engineering, DevOps, product, compliance, and executive teams.

Leads distributed engineering teams, oversees technical execution and software project delivery, establishes engineering standards, manages risks, ensures scalable and secure architecture, and develops engineering talent. Partners with product, architecture, technical leadership, clients, and stakeholders on roadmaps, delivery plans, performance, and continuous improvement.

Assists with provisioning and managing cloud infrastructure, deploying applications, monitoring system health, troubleshooting infrastructure issues, and supporting Infrastructure as Code, CI/CD, and automation. Documents procedures and collaborates with senior engineers and development teams to maintain stable cloud environments. Requires familiarity with cloud platforms, networking, version control, Linux, and basic scripting.