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

Lead a new credit products line by defining vision, strategy, and roadmap for credit score and credit-adjacent offerings. Drive cross-functional execution with Data Science, Engineering, Legal, Compliance, GTM and Operations to build compliant, scalable products for lenders and financial services. Own product discovery, metrics, executive alignment, team hiring and development, and external thought leadership for CRA, BNPL, underwriting, and risk decisioning products.

Develop and deploy production ML models for document verification and fraud detection. Perform model evaluation, experimentation, and analytics; build monitoring, tooling, and automation; partner cross-functionally to improve product performance and operational efficiency.

Develop ML features, models, and analytical methods from device, network, browser, mobile, session, and behavioral telemetry to detect fraud and improve identity confidence. Handle large-scale, noisy, high-cardinality data, design validations, assess drift and leakage, collaborate with engineering/product/risk for production rollout, document models and features, and mentor junior team members.

Lead development of production-grade fraud and identity risk signals from high-scale device, network, browser, mobile, API, and behavioral telemetry. Define evaluation methods, build scalable feature engineering, investigate adversarial signal patterns, influence telemetry and production readiness, mentor data scientists, and drive technical direction for robust, explainable, low-latency decisioning systems.

As a Senior Backend Engineer, you will design and develop software solutions for identity verification, mentor junior engineers, and ensure system scalability, security, and high performance.

Develop user interfaces for web applications, collaborate with teams, mentor engineers, and ensure code quality and performance in a fast-paced environment.

Lead technical pre-sales for Socure's orchestration platform: run discovery, design integrations, configure no-code decisioning workflows, demo to technical and executive audiences, own build-through-handoff, and partner with AE, Product, and Post-Sales to close and deliver enterprise deals.

The Senior Data Scientist will develop machine learning systems for fraud prevention using behavioral data, collaborate across teams, and mentor junior scientists.

Lead product development for Socure's core fraud platform: build reusable services, APIs, and ML-powered features (graph, signals, model lifecycle). Drive prioritization, cross-functional delivery, KPI definition, customer discovery, and integration to improve detection accuracy and operational performance across fraud products.

The Staff Data Scientist will design and optimize deep learning models for fraud detection, mentor peers, and lead data science initiatives.