Top VP of Engineering Jobs in San Francisco, CA

Lead a global Mission Control team monitoring and resolving system failures, direct incident response, implement technical service strategies, improve operational efficiency, drive observability and AI Ops adoption, and mentor senior technical staff to ensure uptime for critical transaction systems.

The Vice President will lead engineering teams for the commercial data platform, drive strategic data initiatives, and collaborate across functions to enhance data reliability and governance.

The VP of Engineering will lead the engineering team, develop strategies, manage infrastructure, and ensure delivery of software and services supporting the company's goals.

As VP of Engineering, you'll define technical vision, lead engineering teams, drive execution, and foster a high-performance culture to support growth.

As VP of Software Engineering, you'll lead software and robotics teams, ensuring alignment with product goals while driving engineering excellence in a rapidly scaling environment.

Lead and scale Ripple's payments engineering organization owning cross-border flows, FX, liquidity, collections, and settlement. Drive architecture simplification, integrate acquired platforms, ensure high availability and operational excellence for regulated real-time payments, partner with Product and Compliance, and develop senior engineering leaders to deliver a unified, scalable payments platform leveraging on-chain primitives where appropriate.

Lead full‑stack software development for the Investment Strategy team: maintain and enhance portfolio management systems, implement new features, ensure production reliability, integrate third‑party platforms, and mentor junior engineers while planning large‑scale system expansion and cross‑team collaboration.

Lead engineering and AI efforts at Next League, mentoring teams, defining technology roadmaps, and collaborating with clients to deliver innovative solutions.

Executive leader unifying Platform Product and Engineering to scale a B2B SaaS platform. Owns technical roadmap, multi-cloud architecture, AI/GenAI integration, developer experience, data pipelines, security and FedRAMP compliance, delivery predictability, and platform-led revenue growth while driving metrics-driven operational excellence.

The VP of Cloud Engineering will strategize and oversee the firm’s cloud architecture on Azure, enhancing operational reliability and product delivery, while optimizing Microsoft 365 environments.

The VP of Engineering will build the engineering function for growth, ensuring technical excellence, managing teams, and aligning goals across the organization.

Lead and scale Infrastructure Engineering to enable cloud-native, reliable, and observable platforms. Define long-term technical strategy, build high-performing teams, drive SRE and developer productivity, expand global infrastructure, and incorporate AI to transform engineering workflows while partnering across executive and product leadership.

Lead WISEcode’s data platform and engineering teams to build AI-native, secure, observable data products. Replace single-gatekeeper deploys, enforce gold-by-code quality, implement medallion architecture, enable secure AI-friendly data access, and run automated agentic pipelines while managing data engineering ICs.

Lead all engineering at Common Sense Media, define multi-year technical vision, scale distributed engineering teams, modernize practices, champion responsible AI adoption, partner with product and data, and provide hands-on technical and people leadership to deliver high-quality production products.

The VP of Enterprise Systems leads the enterprise application landscape, aligning technology with business priorities to enable growth and operational excellence.

The VP of Software Engineering leads the engineering organization, driving software development, scaling teams, and ensuring compliance with standards while collaborating across functions to support product and customer success.

Lead Engineering across Families and Education, set multi-year technical vision, scale teams (in-house and global), modernize practices, apply AI responsibly, partner with Product and Data, and provide hands-on technical leadership and coaching for engineering managers and principals to accelerate high-quality delivery.

Lead and scale the AI cloud infrastructure: design GPU orchestration, multi-region cloud, networking, storage, and reliability. Build SRE and Platform teams, define SLOs/SLIs, automate operations, and remain hands-on in architecture, debugging, and implementation to support AI training and inference at scale.

The VP Engineering will lead the development of engineering initiatives, drive software solutions for robotics, and manage a high-performing team.

Lead Release Management, QA, and DevOps to build an automation-first quality engineering framework, enforce release gates, drive platform reliability and CI/CD, and embed AI-assisted coding and testing across engineering teams for a regulated fintech environment.

Lead Release Management, QA, and DevOps to build an automation-first quality engineering framework. Drive CI/CD, platform reliability, observability, and release gate processes across multi-platform (web and native) products. Coach QA toward automation, implement test data and environment standards, partner with product and support on release readiness and post-release remediation, and champion AI-assisted coding and testing adoption.

Hands-on SDET role owning automated test suites (UI, API, integration, regression) using Playwright and TypeScript. Build agentic OpenCode workflows for test generation and triage, integrate automation into CI/CD, investigate flaky tests, design test data, and provide reliable quality evidence for engineering decisions.

The Senior Director of Robotics Hardware will lead a team in developing digital manufacturing nodes, ensuring hardware architecture aligns with strategic objectives, and establishing efficient manufacturing processes and engineering excellence standards.

The Engineering Leader will oversee software and data teams, ensuring product delivery and operational excellence in robotics and IoT systems.

As VP of Engineering and AI Innovations, lead software development for AI products, enhance features, and manage product evolution in a team-first culture.