Top VP of Engineering Jobs in San Francisco, CA

Designs portfolio construction algorithms, prototypes, production tools, analytics, and reporting for index fixed income investments. Partners with portfolio managers, traders, and technology teams to automate workflows, improve investment processes, and develop scalable algorithm platforms. The role also involves portfolio management activities, process optimization, user feedback integration, and communicating quantitative and technical concepts to stakeholders.

Lead full stack development for BlackRock’s Arya fintech platform, building React and TypeScript interfaces, Python microservices, relational database structures, and Kubernetes deployments. Own features end to end, modernize enterprise technologies, collaborate with users and project teams, lead initiatives, mentor junior engineers, contribute to recruitment, and support agile software development.

Designs and implements technology, algorithms, investment processes, and infrastructure supporting primary-market creation and redemption of active ETFs. Builds prototypes and production tools for portfolio construction, analytics, workflow automation, optimization, and investment controls. Partners with portfolio managers, capital markets, product engineering, architecture, and technology teams to integrate scalable platform capabilities, improve liquidity and operational efficiency, and measure business outcomes.

Build scalable software, analytics, monitoring, and automated workflows for model portfolio management. Partner directly with portfolio managers and engineering teams across portfolio monitoring, customization, rebalancing, implementation, controls, and operational risk management. Apply quantitative methods and AI to improve investment decisions and reduce manual effort. Own solutions from prototyping through production, adoption, enhancement, and support while contributing to the team’s technology strategy.

Lead AMP's multidisciplinary engineering organization to define and execute technology vision and roadmap. Responsible for scaling teams across hardware, software, AI, and infrastructure; driving product development, quality systems, and reliable deployments; partnering with execs and cross-functional teams on budgets, prioritization, and metrics; recruiting and mentoring leaders; and balancing short-term delivery with long-term investments to create business value.

Leads software engineering strategy, architecture, platform delivery, and organizational growth for Mastercard’s AI-native decisioning platform. Oversees scalable distributed systems, streaming, AI, cloud-native infrastructure, reliability, security, engineering standards, and operational excellence. Recruits and develops technical talent, partners with Product and business stakeholders, and drives execution from concept through production adoption while shaping long-term technology vision.

Leads distributed Digital and Enterprise engineering organizations, setting technology strategy, architecture, investment roadmaps, AI-enabled SDLC practices, and operational standards. Develops engineering leaders, aligns product and business priorities, manages budgets and vendors, and ensures software quality, security, reliability, and peak-season readiness. Partners with executives to resolve tradeoffs, improve delivery predictability, and drive measurable business outcomes across digital commerce and enterprise systems.

Leads enterprise technology strategy, architecture, modernization, security, reliability, AI adoption, and execution. The VP will oversee engineering and data organizations, develop technical leaders, establish roadmaps and performance standards, guide cloud and data platform evolution, and connect technology investments to measurable business outcomes. This executive partners with the CEO and cross-functional leaders while managing organizational performance, operational risk, governance, resilience, and technology investments.

The VP of Engineering will scale the team from 40 to 80+, design operational systems for planning and decision-making, eliminate bottlenecks, maintain technical credibility, and drive technical strategy while fostering culture and feedback loops.

Leads the engineering organization for Polaris, overseeing strategy, architecture, people, delivery, quality, reliability, security, budgets, and vendor relationships. The VP scales engineering leadership, develops platform capabilities, advances AI-assisted development, manages cloud and data infrastructure, partners on product strategy, and ensures resilient, secure, observable systems. The role requires executive judgment, deep SaaS and cloud architecture expertise, and the ability to support critical incidents and complex technical decisions.

Provides executive leadership for enterprise infrastructure, platform engineering, cloud operations, digital workplace, service management, production support, and technology operations. Establishes infrastructure strategy, roadmaps, standards, budgets, and service objectives while driving reliability, security, resilience, scalability, modernization, automation, and cost optimization. Oversees disaster recovery, vendor governance, major incident response, operational excellence, and cross-functional technology alignment. Leads director-level organizations, develops technical leadership talent, and communicates investment priorities, risks, and performance to executive stakeholders.

Leads enterprise ServiceNow strategy, architecture, governance, transformation, integrations, CMDB, ITOM, ITAM, automation, and AI initiatives. Establishes platform standards, operating models, security and data governance, architecture principles, and Center of Excellence functions. Partners with executives, enterprise architects, internal teams, and strategic vendors while managing global teams, budgets, roadmaps, technical debt, platform adoption, operational efficiency, and business value realization.

Executive engineering leader responsible for shaping product and technology strategy, aligning the executive team, communicating direction across a distributed organization, and leading engineering managers, directors, and individual contributors through rapid AI-driven change. The role requires technical credibility, strategic judgment, strong written and verbal communication, and experience scaling distributed engineering organizations while maintaining performance and culture.

Leads globally distributed software engineering teams, setting technical strategy, architecture, delivery processes, and engineering standards for AWS-based SaaS products. Partners with Product, Data Analytics, and Customer Success, develops engineering talent, manages vendors, drives continuous improvement, and promotes AI-assisted development practices. The role requires extensive software engineering and executive leadership experience, Ruby on Rails and asynchronous architecture expertise, AWS scalability knowledge, and experience managing remote global teams.

Leads Covera Health’s approximately 30-person Engineering, AI, and Platform/IT organization. Owns architecture, engineering standards, technical execution, reliability, security, data platforms, and production systems while partnering with the CPTO on strategy. The role requires hands-on technical leadership, development of engineering managers, cross-functional collaboration, recruitment and retention, and oversight of scalable healthcare data and AI platforms. The leader will remain involved in architecture reviews, technical decisions, complex data challenges, and critical production incidents.

Provides executive leadership for software engineering across regulated clinical, patient-facing, platform, and device-integrated systems. Oversees delivery, scalability, quality, compliance, engineering operations, CI/CD modernization, AI-assisted development, and organizational growth. Leads engineering executives and partners cross-functionally across product, clinical, regulatory, quality, security, machine learning, and IT. Requires extensive leadership of Software as a Medical Device products through development, validation, regulatory approval, commercialization, and post-market support.

Executive technology leader responsible for strategy, modernization, and operations across a global fintech SaaS portfolio. Oversees software engineering, QA, DevOps, cloud operations, security, customer engineering, and technology partnerships. Leads AI adoption, platform consolidation, cloud optimization, compliance, reliability, customer implementation, budgeting, vendor management, and organizational transformation across complex, regulated products.

Leads global platform engineering for identity and access, portals, design systems, observability, monitoring, billing, and metering. Develops enterprise cloud and modernization strategy, establishes platform standards, drives adoption across business units, and oversees a 100+ person organization. Partners with senior executives globally to align shared platform investments with business outcomes, security, resiliency, innovation, and operational efficiency.

Leads engineering across growth and marketing technology, CRM and lifecycle engagement, and data, BI, and experimentation platforms. Owns acquisition economics, paid-media integrations, AI-native marketing capabilities, customer-data and messaging consolidation, and trustworthy self-service analytics. Builds and manages distributed senior engineering teams, aligns marketing, product, finance, privacy, and data science stakeholders, modernizes platforms, controls costs, and delivers measurable revenue and fan-engagement outcomes.

Own engineering delivery, organizational design, security, infrastructure, fraud initiatives, incident escalation, and cross-functional prioritization. Build scalable team structures, propose hiring plans, represent engineering to executives, and oversee infrastructure and data decisions. The role requires substantial engineering leadership experience, hands-on backend or full-stack development experience, and a track record of scaling engineering organizations at startups or scaleups.

Lead the engineering organization for BlueCat’s Network Observability product line. Own technical strategy, architecture, roadmap, delivery, and operational excellence for data-intensive network monitoring platforms spanning SaaS and on-premise deployments. Build AI-driven observability capabilities, modernize legacy systems, establish engineering standards, and develop distributed teams. Partner with product, executive leadership, customers, sales, and support to achieve business goals and resolve strategic technical issues.

Leads global engineering teams and multiple EPM product lines through legacy modernization, SaaS and multi-tenant development, AI-enabled software delivery, customer-facing AI feature development, and operational excellence. Owns engineering strategy, quality, reliability, DORA outcomes, security, budgets, vendors, staffing, and organizational transformation while delivering reliable finance applications and cloud migrations.

Leads Clever’s engineering organization and technical strategy, overseeing architecture, execution, production systems, organizational design, recruiting, and leadership development. The role remains technically hands-on through architecture and code reviews, debugging, production support, and direct contribution. It also drives AI-assisted engineering, modernization of legacy systems, engineering productivity, and close collaboration with Product and executive leadership.

Leads Happen Bank’s Platform Engineering organization and owns AI infrastructure, DevOps, software delivery, enterprise testing, database administration, incident management, and observability. Sets multi-year platform strategy, builds shared services and guardrails, advances AI and testing capabilities, improves reliability and operational excellence, and develops a high-performing leadership organization. Partners with Technology and Product Engineering to align platform investments with company strategy.

Leads Unlearn’s engineering organization across core engineering, applications, ML/AI Ops, infrastructure, and forward deployment. Owns system quality, reliability, compliance, security, execution, hiring, team design, and engineering roadmap delivery. Partners with Product, R&D, Delivery, and company leadership to translate strategy into shipped AI-powered platforms, tools, and services in a regulated environment. Establishes an AI-centric culture and ensures engineering commitments align with business objectives.