Build and scale a high-performing, globally distributed engineering organization aligned to MIE’s 3-year product and technology roadmap.
Define and execute a multi-year technology strategy, including platform modernization, architecture evolution, and scalability of core systems.
Establish and operationalize modern SDLC processes, including sprint planning, QA discipline, release management, and engineering best practices.
Implement a metrics-driven engineering operating model, tracking KPIs such as velocity, cycle time, defect rates, and on-time delivery.
Lead the modernization of legacy architecture, including C, JavaScript, TypeScript, Linux -based components and legacy databases, while maintaining product stability and delivery.
Drive CloudOps and infrastructure maturity, including automation, monitoring, and disaster recovery capabilities (targeting <24-hour RTO).
Develop and execute a structured technical debt reduction strategy, prioritizing and remediating a large backlog of defects through disciplined processes.
Define and implement an AI strategy to enhance product capabilities and improve internal engineering velocity and efficiency.
Establish API and platform strategies to support extensibility, integrations, and future ecosystem growth.
Partner closely with Product to define and execute a 12–18 month roadmap, ensuring alignment with company strategy, customer needs, and revenue objectives.
Collaborate with Product and GTM leadership to improve productization, moving from one-off solutions to scalable, repeatable offerings.
Requirements
Proven senior engineering leadership experience in PE-backed or high-growth B2B SaaS companies, ideally in the $25M–$75M revenue range.
Demonstrated experience modernizing legacy platforms (monolithic architectures, legacy databases, or older codebases) into scalable, modern systems.
Strong track record of building and scaling engineering organizations, including distributed/onshore-offshore team models.
Deep experience implementing modern SDLC processes, engineering metrics, and operational rigor across development teams.
Demonstrated ability to define and execute multi-year technology roadmaps aligned with product and business strategy.
Hands-on experience incorporating AI into software products and/or engineering workflows to drive measurable impact.
Proven ability to partner effectively with Product leadership to deliver integrated, customer-driven roadmaps.