Top VP of Engineering Jobs in San Francisco, CA

Lead end-user facing engineering squads (about half the team), grow engineering capacity, and provide hands-on technical leadership. Drive distributed computing, cloud (AWS/Azure), CI/CD, Agile/Scrumban, mentoring, conflict resolution, and product delivery for a remote-first, time-zone-compatible global team. Travel periodically for face-to-face team interactions.

As VP of Engineering, you'll architect and oversee decentralized trading features, microservices, and DevOps while mentoring engineers and driving tech choices.

Lead technical client-facing functions in the Americas for Nuvei, focusing on solutions and implementations across diverse enterprise clients. Drive operational excellence in pre-sale solutioning, oversee implementation projects, and enhance long-term relationships with key accounts. Requires expertise in payments and strong team leadership.

Lead and scale the product-facing engineering organization for consumer fintech products. Hire and grow teams, drive architecture and code quality, embed AI-native tooling and practices, and ship member-facing voice/chat/BankGPT experiences while remaining hands-on in technical reviews and architecture.

Lead and own Legion's software roadmap, architecture, and delivery across autonomy, mission/C2, full-stack and field-deployed engineering. Build and scale the software organization, define technical standards for real-time and multi-agent systems, drive engineering execution, recruit talent, establish field feedback loops, interface with customers and investors, and adopt frontier AI tools to improve system performance and reliability.

Lead engineering strategy and delivery for customer-facing web and mobile platforms; drive AI-native transformation, increase conversion and speed-to-fund, raise engineering talent and velocity, ensure secure and compliant architectures, partner with product and cross-functional teams to deliver measurable business outcomes.

Executive leader to build and scale a domestic UAV engine business: define 5-year strategy, assess technology and acquisition targets, manage P&L and dispersed operations, lead R&D and manufacturing decisions, mitigate supply chain risk, recruit and run a multidisciplinary team, and present progress to CEO and Board.

Lead the engineering vision for threat detection, architect scalable systems, foster community intelligence, and create a culture of technical excellence and innovation.

Lead and scale a global Customer Engineering and Value Engineering organization to drive AI-focused technical discovery, validated edge architectures, ROI modeling, and pre-sales qualification. Build operating rhythms, playbooks, and cross-functional partnerships to accelerate global deployments of GPU-accelerated, edge AI solutions while ensuring technical and commercial rigor across regions.