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 program management across Product and Engineering, focusing on release management, process optimization, intake and triage, incident response, Agile adherence, and organizational scalability. Establishes standardized workflows, improves release transparency, builds release management capabilities, mentors teams, and drives accountability across cross-functional stakeholders. Requires at least 10 years of software development process and program management experience, strong Agile expertise, leadership capability, and a bachelor's degree.

Leads the engineering organization, sets technical strategy, oversees managers, and guides architecture, reliability, security, scalability, CI/CD, and QA. Partners with Product, Design, AI, and Analytics leaders to deliver production-grade software and represent Engineering to executives, customers, partners, and investors. The role also owns recruiting, career development, headcount, vendors, cloud spend, compliance, and organizational processes while remaining hands-on when needed.

Leads software engineering, DevOps, and data as an executive partner to the CEO. Responsibilities include building and developing teams, setting engineering strategy, improving reliability and delivery, overseeing architecture and incident response, supporting SOC 2 and PCI compliance, strengthening security and infrastructure ownership, partnering cross-functionally, and guiding AI adoption for regulated financial workflows.

Leads the commercial growth, market strategy, solutioning, and executive oversight of Merkle’s Digital Product Engineering practice. Builds senior client relationships, develops custom digital products and cloud-native solutions, applies AI, supports proposals and business development, and shapes repeatable offerings. Partners with product, engineering, architecture, strategy, and delivery leaders to align commercial commitments with successful execution. The role is highly client-facing, involves influential leadership without direct reports, and requires 30%–50% travel.

Leads the commercial growth and market strategy of Merkle’s Digital Product Engineering practice. Builds senior client relationships, identifies opportunities, shapes custom digital product and technology solutions, supports sales and proposals, and applies AI, cloud-native engineering, and modern product practices. Provides executive oversight of engagements, aligns commercial commitments with delivery capabilities, develops repeatable offerings, and leads through influence without direct people-management responsibility. The role requires approximately 30%–50% travel.

Lead a specialized SRE and infrastructure automation team supporting hybrid data center environments. Establish Terraform and Ansible governance, manage Packer image pipelines, automate physical and virtual asset lifecycles, and oversee observability, capacity, and performance. Develop internal tooling with Python, Go, PowerShell, and Bash while maintaining Windows, Linux, VMware, Azure, and AWS platforms. Mentor engineers, drive self-service capabilities, and collaborate across the data center organization.

Lead and scale a global Sales Engineering organization supporting complex enterprise cybersecurity sales. Own technical win rates, POC conversion, demos, discovery, evaluation processes, and SE performance metrics. Partner with sales leadership on pipeline, forecasting, territory planning, and deal strategy. Build enablement, tooling, playbooks, and career paths while serving as a senior technical advisor to CISOs, AI/ML leaders, and security architects. Provide customer feedback and competitive intelligence to product and engineering teams.

Owns end-to-end product and engineering strategy for Mews' Back of House domain. Leads globally distributed engineering teams, builds the management structure, develops senior talent, and improves reliability, performance, and technical debt without disrupting delivery. Determines where AI should be integrated into the product and ships AI-driven improvements. Requires VP-level product and engineering ownership, SaaS scaling experience, strong people leadership, and hands-on experience shipping AI as a core product capability.

Leads day-to-day engineering execution for a lean, senior team while remaining hands-on with production code, architecture, incident response, and AI-assisted development. Owns delivery, quality, reliability, security, cloud costs, automation, and technical standards across multi-tenant SaaS platforms on AWS and Azure with Kubernetes. Partners with Product, Design, Support, and the CTO to build AI features, improve engineering productivity, hire and develop talent, and maintain predictable delivery.

Lead and scale engineering across a 100+ person federal digital modernization portfolio. Establish technical standards, guide talent and career development, support technical leads, drive architecture and modernization strategy, and improve tooling and delivery. Partner with program leaders and government clients, contribute to proposals and capture efforts, and provide technical thought leadership across AI/ML, cloud engineering, Agile delivery, and DevSecOps.

Leads Magna’s software engineering organization across multiple products and business lines. Oversees engineering managers, QA, DevOps/SRE, and architecture leaders while owning organizational development, delivery execution, modernization, quality, security, and operational reliability. Partners with executives and cross-functional teams to translate priorities into roadmaps and measurable outcomes. Guides AI-enabled product development, including responsible deployment of large-language-model capabilities, and supports integration of acquired platforms. This remote U.S. role requires approximately 10% travel to Philadelphia-area offices.

Lead a small senior engineering team building and operating an AI-first location intelligence platform. Own architecture, production quality, customer-facing LLM systems, engineering delivery practices, security, observability, testing, incident response, and modernization. Remain hands-on with architecture, code reviews, debugging, and implementation while hiring, coaching, and developing engineers. Partner with the CEO and Applied Science Director to translate technical investments and AI research into reliable customer outcomes.

Leads Nooks’ software engineering organization, technical vision, AI strategy, government contract delivery, internal platform, architecture, and technology investment. Builds and scales the engineering team, establishes outcome-based operating practices, oversees delivery economics and customer relationships, drives AI adoption and governance, and supports federal software pursuits. Partners with executive leadership, Growth, Operations, IT/Cyber, Product, and Finance while representing engineering to government customers.

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.

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.

Leads global customer solutions engineering across pre-sales, post-sale delivery, and customer relationships. Oversees technical requirements, solution design, RFP responses, contract accuracy, delivery compliance, and customer-facing engineering discussions. Partners with finance, design, construction, operations, and development teams while supporting forecasting, pipeline analysis, product innovation, and market strategy. Requires data center lifecycle expertise and the ability to translate complex technical solutions into deliverable requirements.

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.

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.

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.