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

Develop and optimize data-driven marketing strategies for credit card products. Responsibilities include campaign analytics, modeling, experimentation, funnel and ROI analysis, direct mail campaign execution, KPI definition, dashboard development, data pipeline validation, and performance monitoring. The role partners with marketing, product, business leaders, and external stakeholders to identify growth opportunities, communicate insights, and drive profitable member acquisition and retention.

Supports the structuring, execution, closing, funding, and ongoing management of capital markets and asset-backed financing transactions. Responsibilities include comparing investor terms, negotiating transaction agreements, coordinating closings, reconciling first fundings, monitoring facility performance and covenants, maintaining compliance dashboards, managing cash movements, and resolving post-closing issues with internal teams and investors.

Analyze, develop, test, and optimize credit policies covering underwriting, credit line assignment, loan amounts, and risk-based pricing. Use SQL and Python to translate strategies into business rules, assess portfolio impacts, monitor risk and performance KPIs, identify growth opportunities, and recommend policy changes. Collaborate with Risk, Product, Technology, and Operations teams to implement credit strategies and communicate findings to stakeholders.

Leads client engagements for fintech and lending organizations, analyzing credit risk, pricing, origination channels, funnel trends, and credit performance. Develops policy and pricing recommendations, manages channel strategies and testing, advises senior and C-level stakeholders, and coordinates offshore analytical teams. Requires strong consulting, client management, communication, problem-solving, leadership, and lending-industry expertise.

Lead marketing analytics and modeling to grow lending business: design experiments, build and validate campaign pipelines, measure funnel and ROI, manage direct-mail campaign selection and execution, create dashboards and provide data-driven recommendations to marketing and senior leadership.

Own product performance analytics across acquisition and engagement journeys. Responsibilities include recurring funnel and channel reporting, customer journey analysis, anomaly and root-cause investigation, impact sizing for product and data issues, forecasting and variance analysis, dashboard and measurement framework development, and ad-hoc analysis. The role partners with Finance, Product, Credit, Risk, Fraud, and other stakeholders to translate findings into actionable business recommendations.

Leads credit risk and pricing strategy engagements for fintech clients. Responsibilities include analyzing pricing, credit performance, funnel trends, and origination channels; recommending policy and pricing improvements; managing client and executive relationships; coordinating offshore analytical teams; and aligning cross-functional stakeholders. The role also oversees testing, channel strategy, and market-driven decision-making across lending and fintech environments.

Lead analytics to identify and quantify issuance leakage across acquisition, application, approval, and funding funnels. Perform funnel diagnostics, root-cause analysis, experiments, and build dashboards. Partner with Product, Marketing, Credit Risk, Operations, and Engineering to prioritize and implement data-driven recommendations to increase approvals, conversions, and funded volume.

Lead architecture, development, and optimization of a cloud-native data platform. Design high-volume batch and streaming pipelines, optimize data processing across AWS, Snowflake, Redshift, and Athena, and implement Iceberg-based data management. Establish security, privacy, observability, and DataOps practices while mentoring engineers, guiding technical direction, collaborating with data science teams, and delivering scalable petabyte-level data infrastructure.

Lead Flag Football data-source discovery, integration, and onboarding across global partners. Manage the data roadmap, requirements, schemas, quality processes, milestones, risks, and stakeholder communications. Partner with technical and business teams to operationalize data platforms, identity management, consent-aware practices, participation measurement, and reporting. Enable analytics connecting participation data with fan engagement, retention, and fandom outcomes.