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

Lead product vision, strategy, discovery, roadmap ownership, analytics, experimentation, UX, and go-to-market alignment for an AI-native developer learning platform. The CPO will scale adoption and retention, recruit and develop the product and design organization, define KPIs, conduct competitive analysis, and represent the product with investors and the developer community.

Design and operate a production-grade multi-agent AI platform using Gemini models, Google ADK, Pub/Sub, Redis, Firestore, Neo4j, and evaluation tools. Build orchestration, multimodal integrations, RAG, adaptive learning loops, artifact generation, guardrails, and performance optimization. Collaborate across backend, frontend, prompt engineering, and product teams while scaling AI tutoring capabilities and monitoring quality, latency, safety, and model drift.

Own Vibecoderz’s full people function, including recruiting, onboarding, culture, employer branding, performance development, compliance, benefits, employee relations, diversity, and scalable HR operations. The role will personally recruit early hires, establish HRMS and payroll systems, manage labor-law compliance and ESOPs, build retention and well-being programs, and prepare people processes for funding, M&A, or IPO growth across India, the US, and Europe.

Founding QA Automation Engineer responsible for building end-to-end testing frameworks across frontend, backend, and AI agents. The role includes Playwright or Cypress UI testing, FastAPI validation, AI output evaluations, WebSocket and realtime testing, security and performance testing, CI/CD integration with GitHub Actions, defect reporting, and quality-process leadership. The engineer will establish autonomous, scalable QA systems and mentor developers while validating performance for up to 100,000 concurrent learners.

Founding Full Stack Developer responsible for end-to-end SaaS feature delivery across Next.js and React frontends, FastAPI services, real-time WebSocket collaboration, AI workflow integration, data modeling, authentication, performance, testing, and cloud deployment. The role requires scaling production systems, integrating Firestore and Neo4j, and collaborating across engineering and product teams. Candidates will also complete a proof of concept involving course generation, a mini-app sandbox, background workflows, and deployed frontend/backend services.

Own frontend architecture for Gradientflo’s web applications using React, Next.js, Redux Toolkit, and TypeScript. Build high-performance, SEO-friendly interfaces, optimize Core Web Vitals, manage complex state, refactor reusable components, develop custom hooks, debug rendering issues, and conduct code reviews. The role also requires implementing a real-time asset tracker with polling, lifecycle cleanup, Redux state management, dynamic SEO metadata, server/client component separation, and performance-focused UI optimizations.

Founding DevOps Engineer responsible for designing and operating Vibecoderz’s GCP infrastructure, CI/CD pipelines, infrastructure-as-code, observability, security, cost optimization, release management, and disaster recovery. The role supports AI and multi-agent workloads, including Cloud Run services, Vertex AI, Firestore, Pub/Sub, Redis, and Neo4j. This engineer will establish reliable deployment workflows, tracing, monitoring, IAM controls, backup strategies, failover capabilities, and self-service engineering practices while scaling the platform to high availability and significant user growth.

Leads Vibecoderz’s data strategy, architecture, and analytics foundation. Responsibilities include designing real-time pipelines across Firestore, Neo4j, Redis, and BigQuery; defining event taxonomies; building growth, retention, funnel, and LTV analytics; enabling graph-based personalization; ensuring data governance and privacy compliance; and hiring and mentoring a data team. The role also requires delivering dashboards, a Developer Graph MVP, and a Python ETL pipeline integrating Pub/Sub, Neo4j, and BigQuery.

Lead the architecture, technical strategy, and engineering culture for an AI-first, serverless learning platform. Design scalable real-time systems, guide AI agent orchestration, oversee GCP infrastructure, security, observability, and performance, and manage a founding engineering team. The role is highly hands-on, spanning system design, coding standards, product UX, DevOps, technical hiring, investor communication, and development of secure, low-latency experiences supporting 100K+ concurrent users.

Own the product vision, roadmap, PRDs, KPIs, experimentation, and execution for Vibecoderz AI learning products. The founding Product Manager will coordinate AI, engineering, design, and DevOps teams using Linear, Notion, and GitHub; conduct user research; prioritize trade-offs; and launch core learning journeys. The role requires scaling products from zero to one and beyond, building product processes, and delivering a six-month MVP roadmap, analytics dashboards, user flows, and product documentation.