Top Remote VP of Engineering Jobs

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 commerce strategy and value engineering for prospective brand partners. Conducts Amazon marketplace assessments, identifies growth opportunities, designs tailored commercial solutions, builds quantified profitability cases, and supports executive proposals. Partners with sales, analytics, operations, finance, marketing, and product teams to validate assumptions, present recommendations, and establish repeatable diagnostic and proposal processes.

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.

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.

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.

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.

Lead and scale Netskope’s North American Solutions Engineering organization across multiple countries. The role owns pre-sales methodology, technical win rates, sales partnership, talent development, operating models, executive customer engagement, and revenue-aligned execution. The VP will partner with Product, Engineering, Marketing, and Sales to strengthen cybersecurity positioning across SASE, SSE, ZTNA, cloud, data, and AI security. They will also drive AI, automation, and data-enabled productivity improvements while developing leaders and engaging senior customer executives.

Leads JFrog’s regional strategic solution engineering organization, driving customer adoption, revenue growth, technical proofs of concept, strategic account plans, and high-value enterprise deals. Partners with sales, marketing, product, and customer success teams while advising executive stakeholders on DevOps, DevSecOps, and MLOps solutions. Requires extensive enterprise SaaS experience, technical team leadership, deal expertise, and customer travel.

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 engineering strategy and execution across one or more software product lines. Oversees the full software development lifecycle, technology roadmaps, agile practices, engineering standards, resource allocation, risk management, and delivery quality. Builds and develops high-performing engineering teams while collaborating with product, design, operations, executives, clients, and partners. Champions AI-powered development tools, automation, testing, and CI/CD improvements to increase delivery speed and software quality.

Leads the strategy, architecture, and delivery of Extreme Networks’ wireless hardware and software portfolio, including access points, controllers, and cloud-managed platforms. Oversees distributed hardware, firmware, software, and RF engineering teams; manages roadmaps, budgets, vendors, compliance, and executive communications. Drives scalable product delivery, engineering quality, cloud networking, AI adoption, and innovation in Wi-Fi, private wireless, and cellular convergence.

Lead Skyhigh Security’s global Sales Engineering organization, aligning teams with go-to-market strategy and driving technical excellence, enablement, operational performance, and revenue outcomes. The role oversees KPIs, forecasting, field readiness, partner enablement, customer engagement, and organizational transformation. It also serves as a Field CTO, translating product strategy into customer value, influencing the product roadmap through market insight, and developing globally distributed sales engineering teams.

Leads engineering execution, architecture, delivery, and organizational scaling for an AI-powered enterprise SaaS platform. Oversees software engineering, DevOps, cloud infrastructure, AI-enabled development, security, compliance, reliability, and technical operations. Partners with product, program management, clients, and executives to deliver scalable, secure, high-performing solutions. Builds distributed engineering teams, develops technical talent, establishes engineering standards, and integrates AI-assisted development, MLOps, and agentic capabilities.

Leads MGIC’s software engineering and digital delivery functions, aligning technology strategy, product portfolios, engineering standards, and investments with business outcomes. Oversees software development, testing, deployment, DevOps, modernization, cloud, AI, product delivery, portfolio governance, vendor management, risk, compliance, budgets, and organizational leadership. Partners with executives and cross-functional teams to drive digital transformation, customer experience, operational excellence, and long-term enterprise growth.

Leads and scales VAST Data’s Systems Engineering organization across the Western U.S. Manages SE leaders, builds technical talent and processes, partners with Sales on strategic enterprise opportunities, and drives technical sales execution. The role requires deep expertise across storage, networking, cloud, data platforms, AI infrastructure, and solution architecture, along with executive presence and the ability to coach teams through complex technical sales cycles.

Leads enterprise software delivery, platform modernization, engineering governance, and operating model transformation across business units. Owns delivery KPIs, platform consolidation, engineering standards, operational reliability, AI-enabled productivity initiatives, resource planning, and executive stakeholder alignment. Builds and coaches delivery leadership teams while coordinating Product, Infrastructure, DevOps, Security, AI, PMO, QA, and Operations groups.

Leads enterprise software engineering enablement, AI and innovation strategy, and large-scale technology transformation. Drives adoption of modern engineering practices, cloud technologies, automation, AI solutions, governance, and modernization initiatives. Advises executives, establishes technology standards and transformation frameworks, partners across business and technology teams, manages strategic vendors, and builds high-performing engineering organizations. The role requires delivering measurable outcomes in a complex, regulated banking environment.

Leads US application engineering across public and private sector engagements, building and scaling high-performing technical teams. Oversees end-to-end delivery of AI and software programs on the Symmetri Platform, ensuring quality, profitability, reusable components, and client value. Partners with Product to shape roadmaps, supports GTM activities and business development, develops senior client relationships, and drives innovation, technical excellence, talent development, and scalable delivery practices.

Lead and scale Ping Identity’s Americas Solutions Engineering organization. Partner with Sales, Product, and Marketing to drive pipeline growth, win rates, customer retention, technical sales strategy, proofs of concept, architectural design, and executive engagements. Advise enterprise security leaders on IAM, AI governance, cloud architecture, and fraud prevention while shaping product roadmaps through market and customer insights.

Leads and scales software engineering teams developing marketing technology, customer acquisition platforms, and digital experiences. Responsibilities include hands-on coding, architecture, CRM and marketing automation integrations, lead management, analytics, experimentation, website optimization, vendor management, and engineering team mentorship. Partners with Marketing, Product, Sales, and Analytics to improve lead generation, conversion, scalability, reliability, and speed to market.