• Own the long-term technical vision for the product engineering organization, ensuring alignment between architectural decisions and business strategy • Guide teams on system design and architecture, knowing when to build, buy, or partner, and when to invest in foundational platform work versus move fast on delivery • Introduce and mature ML/AI-informed capabilities within the platform, partnering with data and product teams to identify where intelligent automation and predictive features can drive outsized user value • Drive the engineering organization's approach to data, both as a product input and as a tool for measuring the health and performance of the systems you build • Set and uphold a high bar for delivery quality, velocity, and reliability across multiple concurrent product workstreams • Establish a mature approach to estimation, technical debt management, and build/buy tradeoffs at an organizational level — not just at the team level • Benchmark software delivery performance against comparable organizations and use that data to set credible, ambitious targets • Lead and continuously improve practices across a geographically distributed engineering organization, including teams working across time zones, ensuring consistency in standards, culture, and output quality without friction for your domestic teams • Lead a multi-layered engineering organization including engineering managers, staff engineers, and individual contributors; you are a builder and developer of leaders • Partner with recruiting and HR to maintain a staffing plan aligned to product priorities — including proactively identifying capability gaps, succession risks, and opportunities to deepen the bench • Set the tone: high expectations, fast pace, psychological safety, and a genuine commitment to making Evermore the career highlight for every engineer here • Coach and sponsor emerging managers and technical leaders, with a demonstrated track record of developing people into bigger roles • Serve as a trusted technical advisor to the CTO and business leadership, translating complex engineering tradeoffs into clear business terms • Gather and analyze engineering performance data to drive organizational decisions, surface risks early, and demonstrate impact • Present and demo work compellingly — to executives, to the board, and across the business — making engineering legible and exciting to non-technical audiences

• Lead the team toward AI-enabled software development • Embed AI tools across the full software development lifecycle (SDLC) • Improve speed, quality, and leverage in software development • Perform development work and review architecture and code with authority

• Understand the project’s needs and objectives. • Effectively manage projects, ensuring on-time and within-budget delivery. • Maintain proactive and effective communication with clients to understand their needs and expectations. • Support the team in client interactions. • Analyze and design technical solutions. • Collaborate closely with the technical team to ensure proposed solutions align with client requirements. • Oversee and ensure the quality of project deliverables. • Conduct data and process analyses to identify areas for improvement and optimization. • Provide technical guidance and advice to clients when necessary.

• Leads, mentors, and develops a team of 3–7 software engineers. • Defines and implements technical strategy aligned with business objectives and our Cloud Center of Excellence. • Oversees the full software development lifecycle from conception through deployment. • Partners strategically with Product to translate requirements into technical solutions. • Plans and executes complex software projects with multiple dependencies, managing timelines, resource allocation, and risk mitigation.