Top Tech Jobs & Startup Jobs in San Francisco, CA

Analyze enrollment and application data to detect and reduce synthetic identity and ID theft, design and monitor new-account risk policies, build dashboards tracking Funnel Enrollment Rate and fraud metrics, monitor vendor models and risk signals, and support cross-functional ad-hoc analyses.

Support investor relations by preparing earnings materials, maintaining investor-facing content and CRM, tracking analyst research and market news, coordinating investor events and roadshows, fielding investor inquiries, and assisting financial modeling and executive/board materials.

Build and operate core data infrastructure: deploy and maintain Airflow, Flink, and chalk.ai environments; own DynamoDB and RDS storage; write Terraform and run Kubernetes workloads; partner with Data Engineering to design scalable, reliable infrastructure; improve observability, capacity planning, and operational hygiene.

Build and operate deployment infrastructure for Airflow, Flink, and chalk.ai; own DynamoDB and RDS storage; write Terraform IaC; manage Kubernetes workloads; partner with Data Engineering to design scalable, reliable infrastructure; drive observability, capacity planning, and operational improvements; participate in full lifecycle of infrastructure changes.

Lead and grow data engineering teams to build a scalable, AI-ready data platform with strong governance. Partner with Product, Analytics, Data Science, and Marketing to deliver trusted data products, drive data quality, CI/CD, and operational reliability, and prioritize high-impact work while fostering technical excellence and innovation.

Build and maintain the backend infrastructure for member support: contact center (voice/chat/IVR), agent provisioning, AI-powered self-service and call/chat summarization, routing and observability pipelines, and resilient APIs. Collaborate with product, conversational design, and operations; write well-tested scalable code; participate in on-call rotation and improve system reliability and monitoring.

Build and scale card products end-to-end across frontend (web and mobile) and backend services. Lead multi-engineer efforts, design scalable systems, collaborate with product/design/risk/compliance, improve engineering quality, mentor engineers, participate in on-call rotation, and deliver reliable features for millions of members.

Partner with Marketing, Growth, Product, and Data to manage marketing budgets, forecast growth, and measure ROI. Build scalable financial models, dashboards, and cohort analyses to inform investment decisions, improve forecasting, and communicate insights to senior leadership and earnings narratives.

Own and improve messaging, caching, job processing, and workflow platforms. Build frameworks, libraries, and operational tooling for reliable, scalable inter-service communication. Automate platform operations, enable self-service for engineers, integrate workflow orchestration (Temporal, Cronitor), govern Redis usage, and collaborate with product, data, and infrastructure teams. Drive observability, security, and AI-enabled engineering tooling to help engineers ship production systems safely and efficiently.

Partner with Strategic Finance on Spending products to build scalable analytics infrastructure, semantic layers, and AI-assisted workflows. Define roadmap, design experiments and causal analyses, apply ML to business problems, deliver executive-level data storytelling, and mentor other analysts while enabling Finance self-service analytics.