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

Leads marketing systems and automation, developing omnichannel campaigns, automated workflows, and AI-assisted marketing tools. Owns campaign design, audience segmentation, journey building, QA, deliverability, taxonomy, UTM governance, and performance reporting. Partners with Salesforce and Databricks teams to support customer data foundations, maintains MarTech standards, evaluates and migrates platforms, coaches stakeholders, and ensures privacy-conscious, measurable campaign execution.

Designs and develops scalable web applications, APIs, and document lifecycle systems using Node.js and AWS. Builds secure solutions for document generation, signing, and vaulting while translating legal and business requirements into compliant technical implementations. Responsibilities include testing, continuous deployment, code reviews, system optimization, monitoring, troubleshooting, and mentoring engineers. Collaborates with product, engineering, and legal stakeholders to deliver reliable, high-availability document services.

Designs and scales secure backend services, APIs, payment workflows, and financial tools for contractors. Responsibilities include system architecture, integrations, software lifecycle ownership, testing, deployment, observability, incident response, and operational excellence. The role collaborates with Product, Design, Finance, Risk, and Operations while mentoring engineers and promoting scalable, maintainable, reliable systems.

Lead the architecture, development, and scaling of full-stack applications powered by AI and LLMs. Design agentic workflows, embedding systems, personalized content delivery, and MCP integrations across web, mobile, SMS, voice, and APIs. Provide technical leadership, mentor engineers, improve reliability and performance, ensure security and privacy compliance, and drive initiatives from planning through production.

Build, maintain, monitor, and scale enterprise platform services spanning IAM, communications, payments, and API gateways. Design highly available and fault-tolerant products, evaluate technical tradeoffs, contribute to platform roadmaps and technical strategy, and collaborate with product, architecture, and design teams. The role also mentors engineers, promotes software quality and operational excellence, and applies backend platform engineering, API, messaging, DevOps, and AI-assisted development expertise.

Lead analysis of originated loan portfolio performance, build data-driven narratives for investors, present strategic insights to institutional investors, commission borrower and macroeconomic research, and coordinate cross-functional teams to preserve investor trust and support capital markets activity.

Lead and grow the Funding & Payments engineering organization, owning architecture, reliability, and delivery for underwriting, funding, and payments systems. Drive distributed, event-driven microservices, CI/CD, observability, security/compliance, and cross-functional alignment with Product, Risk, and Operations. Hire and mentor managers and senior ICs, set KPIs, manage technical debt, and establish on-call and incident response for high-throughput financial transactions.

Manage translation of underwriting policies into decision-platform configuration, maintain documentation and audit trails, monitor policy performance via dashboards, run experiments (A/B, champion/challenger), coordinate pilots with vendors, and partner with Capital Markets, Product, Engineering, and Credit Risk to prioritize and deliver policy changes that align with portfolio and business intent.

Leads the AI Transformation engineering team, overseeing hiring, coaching, architecture, delivery, reliability, and operational health for agentic AI solutions. Guides LLM integrations, MCP orchestration, evaluation frameworks, plugins, usage analytics, CI/CD, observability, security, compliance, and auditability. Partners with Product, business units, Security, Compliance, and AI Governance to deliver scalable AI initiatives and track adoption, quality, and velocity.

Own the unified roadmap for AI Transformation and Salesforce products. Lead discovery, requirements, prioritization, backlog management, delivery, adoption, and go-to-market coordination across two engineering teams. Partner with business, Legal, Security, Compliance, and Salesforce stakeholders to implement generative and agentic AI solutions, automation, and platform enhancements. Define product metrics, analyze performance, communicate strategy and trade-offs, and drive scalable products that improve employee and customer experiences.