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

Lead credit risk strategy for lending products by analyzing portfolio performance, identifying risk drivers, refining underwriting and pricing policies, and conducting A/B tests. Partner with Data Science to develop and monitor credit models, while building AI-enabled workflows that automate analysis and surface risk signals. Collaborate cross-functionally with Risk, Product, Engineering, Operations, and Data Science to support scalable fintech growth and compliant automated credit decisioning.

Build and optimize automated release engineering systems, including CI/CD pipelines, build and deployment tooling, and AWS cloud infrastructure. Ensure software delivery quality, security, compliance, and reliability. Lead complex projects, participate in on-call support, mentor teammates, and promote technical excellence. The role uses Go, Java/Kotlin, TypeScript, GitHub Actions, PostgreSQL, DynamoDB, Backstage, AWS, and AI development tools.

Conducts high-volume outbound and inbound outreach to prospective businesses, qualifies their needs, and schedules meetings for Account Executives. The role requires at least 100 daily outreach activities, effective communication across calls, email, and social channels, and strong organization, resilience, accountability, and customer empathy. High performers receive structured development toward an All-Bound Sales Development role and eventually a full-cycle Account Executive position.

Lead a four-person engineering team building a new product from concept through MVP and beyond. Act as a player/coach by writing code, fixing bugs, triaging customer issues, shaping architecture, and driving rapid weekly sprints with Product. Establish lightweight engineering practices, coordinate cross-team dependencies, incorporate modern tools, and maintain close customer feedback loops while balancing speed, quality, and long-term viability.

Staff Software Engineer responsible for leading design and delivery of large-scale order platform capabilities spanning cloud and point-of-sale systems. The role drives architecture, performance, reliability, API design, code quality, incident response, and technical roadmap alignment. It also requires cross-team collaboration, domain expertise in order processing and synchronization, mentoring engineers, and using AI-assisted development tools to improve productivity.

Own the technical infrastructure supporting paid media, including tracking pixels, conversion signals, CRM audience syncs, marketing automation, data pipelines, platform integrations, UTM governance, launch QA, monitoring, and reporting infrastructure. Partner closely with paid media teams to troubleshoot data discrepancies, improve campaign launch speed, maintain data quality, and support audience operations across multiple advertising platforms.

Own the Toast Delivery Services product roadmap, improving dispatch, order tracking, exception handling, refunds, and AI-assisted delivery operations. Partner with Guest, POS, Order Management, AI teams, restaurants, couriers, and external integration partners to deliver measurable outcomes for operators and guests. Shape real-time delivery experiences, proactive alerts, capacity matching, and trusted automation for restaurant delivery.

Lead cloud security strategy and hands-on execution across AWS environments. Own CNAPP and CSPM capabilities, improve IAM and container security, build infrastructure-as-code guardrails, conduct architecture reviews and threat modeling, support detection and incident response, and drive remediation programs. Establish a multi-year cloud security roadmap, influence engineering priorities, mentor teammates, and partner with platform, infrastructure, SOC, and product engineering teams.

Build AI workflows, agents, and customer-facing web experiences that accelerate website production and improve conversion. The role involves optimizing Contentful-based processes, configuring chat, enrichment, voice AI, and personalization tools, running experiments, establishing AI guardrails, monitoring performance, and training marketing teams on reusable AI systems. Collaboration spans Web Platform, CRO, SEO, product marketing, legal, privacy, and brand teams.

Lead end-to-end development of reliable care-agent tooling and software services integrating contact-center platforms with backend systems. Own architecture, performance, security, production operations, and technical direction while partnering with product, care operations, QA, and engineering teams. Translate operational workflows into scalable solutions, mentor engineers, and improve tools using agent feedback, operational metrics, and AI-assisted development practices.