A complete application in a minute
Tailored resume and cover letter, ready to send.
Wpromote seeks an experienced engineering leader to guide managers and engineers across the Polaris IQ stack, data tools, and cloud platform. You will shape the technology strategy, drive architectural decisions, and ensure reliable delivery while balancing cost and customer value.
You’ll partner with product, UX, data science, and security to advance the Polaris roadmap, scale data products, and improve developer productivity through platform capabilities and CI/CD practices.
Clear written and verbal communication, especially when explaining risk, architecture, cost, or tradeoffs to clients and non-technical leadersCalm, decisive leadership and the ability to move between executive communication and hands-on technical investigation when necessaryPractical experience adopting AI-assisted development or agentic workflows, with the judgment to balance speed against security, quality, cost, and maintainability12+ years of software engineering experience, including 5+ years leading engineering managers and multidisciplinary engineering organizationsA record of building healthy teams, developing leaders, raising accountability, and delivering complex products in close partnership with Product, UX, Data Science, Security, and business stakeholdersA bias toward durable systems, explicit ownership, and delegation. This role must solve urgent problems without allowing the organization to remain dependent on a single personDeep architectural judgment across modern SaaS applications, APIs, cloud infrastructure, data platforms, distributed systems, CI/CD, observability, and security. Direct experience with GCP and the Polaris stack is valuable, but equivalent depth in comparable technologies is acceptableDemonstrated ownership of cloud and software budgets, vendor relationships, capacity planning, and technical contract decisionsExperience improving developer productivity and delivery performance through platform capabilities, automation, testing, operational standards, and reporting on DevEx KPIsCustomer-facing, multi-tenant enterprise products that share data, services, or platform capabilitiesDigital marketing, advertising technology, agency technology, or high-volume data and analytics integrationsData ingestion and transformation at scale, including heterogeneous APIs, normalized data models, orchestration, warehouse design, and data quality controlsProduction support for data science and measurement applications such as marketing mix modeling, forecasting, experimentation, optimization, or anomaly detectionSOC 2 or similar control environments, enterprise identity and access management, and client security reviews