This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a VP of Software Engineering - Platform based in United States.
This is a senior executive engineering leadership role responsible for shaping the core platform foundation behind enterprise-scale SaaS and AI-driven products. The VP of Software Engineering - Platform will define and execute the strategy across application platforms, AI infrastructure, integrations, data systems, and developer experience. You will lead multiple engineering organizations responsible for building scalable, secure, and highly reliable shared services that accelerate product delivery across the company. The role requires a strong blend of technical depth and executive leadership, with the ability to influence architecture decisions while also setting long-term organizational direction. You will partner closely with Product, Security, CloudOps, and executive stakeholders to translate business goals into platform capabilities. This is a high-impact position for a leader who thrives at the intersection of architecture, AI systems, and large-scale engineering transformation.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a VP of Software Engineering - Platform based in United States.
This is a senior executive engineering leadership role responsible for shaping the core platform foundation behind enterprise-scale SaaS and AI-driven products. The VP of Software Engineering - Platform will define and execute the strategy across application platforms, AI infrastructure, integrations, data systems, and developer experience. You will lead multiple engineering organizations responsible for building scalable, secure, and highly reliable shared services that accelerate product delivery across the company. The role requires a strong blend of technical depth and executive leadership, with the ability to influence architecture decisions while also setting long-term organizational direction. You will partner closely with Product, Security, CloudOps, and executive stakeholders to translate business goals into platform capabilities. This is a high-impact position for a leader who thrives at the intersection of architecture, AI systems, and large-scale engineering transformation.
Accountabilities:
- Define and lead the end-to-end platform engineering strategy, roadmap, operating model, and execution across application platforms, AI systems, data infrastructure, and integrations.
- Build and scale enterprise-grade shared services including APIs, authentication, developer portals, logging, audit systems, and platform libraries that accelerate engineering productivity.
- Own the agentic AI platform strategy, including architecture for tool execution, model interaction, observability, evaluation, permissions, and safe production deployment of AI systems.
- Lead the transformation toward an AI-native software development lifecycle, enabling AI-assisted coding, testing, documentation, release processes, and operational workflows.
- Define and govern enterprise integration strategy across APIs, MCP, and connectors for systems such as HRIS, ITSM, and collaboration platforms.
- Lead data platform and analytics strategy, including data pipelines, warehousing, reporting systems, governance, privacy, and data quality frameworks.
- Manage and scale multiple engineering organizations across platform engineering, data, AI, integrations, and developer experience, including managers and senior technical leaders.
- Partner with executive leadership to align platform capabilities with business priorities, ensuring measurable impact on speed, reliability, scalability, and customer outcomes.
- 15+ years of software engineering experience with significant leadership in enterprise SaaS, platform engineering, infrastructure, integrations, or AI-driven systems.
- 5+ years of experience leading engineering organizations at VP, senior director, or equivalent executive level.
- Strong ability to translate business strategy into technical platform architecture, operating models, and execution plans.
- Deep experience building and scaling platform services such as developer tooling, APIs, data platforms, and integration frameworks.
- Hands-on technical knowledge of cloud-native systems including AWS, Kubernetes, and modern backend technologies such as Ruby on Rails, Node, Python, and PostgreSQL.
- Experience with AI platforms and tools such as OpenAI SDK, MCP, and agent-based architectures in production environments.
- Strong architectural judgment with the ability to evaluate trade-offs in scalability, reliability, security, and operational complexity.
- Proven ability to lead large, multi-team organizations and develop senior engineering leaders and architects.
- Strong communication skills with the ability to influence both technical and executive audiences.
- Strategic mindset focused on platform reuse, developer experience, and measurable engineering productivity.
- Competitive executive-level compensation aligned with experience and impact
- Remote-first flexibility with strong work-life balance support
- Comprehensive health, dental, and vision insurance
- Generous PTO and paid time off programs
- Inclusive and collaborative engineering culture focused on innovation and impact
- Strong leadership support for professional growth and career development
- Opportunity to shape enterprise-scale AI, data, and platform engineering strategy
Requirements:
Benefits: