Role Description The Engineering Manager, Landing Page Builder is the operational and people leader for the LPB group. This is an execution role, not a strategy-setting role. The CTO sets architectural direction; this hire translates that direction into sprint work, holds the team accountable to delivery, and builds the engineering culture the group needs to scale. The role works closely with the CTO, the VP of Product, Engineering Managers, and the Director of Data & AI/ML Engineering. Senior technical leadership will be available to support the incoming hire through onboarding onto the AI Builder workstream, ensuring a strong foundation from the outset. The team comprises full-time engineers and embedded external developers across two workstreams: the existing Builder product and the AI Builder. Total team size is approximately 7 engineers, with the expectation of that composition evolving as the product transition progresses. Responsibilities - Team Unification: Consolidate the Landing Page Builder group into one coherent unit with a shared sprint board, shared priorities, and a single delivery cadence. - Scrum and Engineering Discipline: Implement Agile and Scrum practices that drive real behavioural change. - People Development: Build structured development plans for engineers and invest in growing senior engineers into technical leaders. - Hybrid Team and Vendor Management: Manage a team spanning engineers and external vendor developers. - AI Builder Execution: Partner with the CTO to translate architectural direction into shippable sprint work for the AI-native product. - Parallel Workstream Management: Balance delivery across the existing Builder and the AI Builder simultaneously. - Cross-Functional Partnership: Serve as a credible engineering voice in planning conversations with Product and senior leadership. Qualifications - 7–12 years of engineering experience, with 3+ years managing teams of 8 or more in a SaaS product environment. - Proven track record leading engineering teams through a legacy-to-modern product transition. - Demonstrated experience shipping AI-powered or agentic features in production. - Experience managing hybrid teams of full-time staff and embedded vendor or contractor developers. - Track record of developing senior engineers into technical leaders. - Modern engineering discipline: Agile and Scrum done properly, CI/CD maturity, code review culture. - Comfortable working alongside a CTO in a clear division of responsibilities. Requirements - Enough technical depth to earn credibility and make informed design decisions. - Fluent in agile delivery, knows when to run the process and when to cut it. - Hands-on familiarity with AI/ML tooling in a product integration context. - Understands CI/CD, observability, and what production-ready actually means. - Can read and reason about code, but not expected to ship it.

• Lead high-impact engineering teams: Manage high-performing remote engineering teams with accountability for delivery, execution quality, and team health in a fast-paced environment. • Technical strategy & reliability: Own the architecture and reliability of high-scale systems that process millions of daily events with minimal latency. Define and drive the technical roadmap. • Process innovation: Implement scalable engineering processes across planning, estimation, quality, and production reliability. Incorporate AI-driven methodologies to improve team productivity. • Drive operational excellence: Lead planning and delivery cycles, ensuring teams stay focused and execute against aggressive deadlines. • Cross-functional impact: Partner with product and design teams to align roadmaps and execution plans. • Extreme ownership: Foster a high-performance culture centered on technical excellence, rapid iteration, and shared accountability. • Talent & leadership development: Attract, mentor, and retain top engineering talent while building a strong leadership bench for a scaling organization.

• Lead, scale, and evolve an engineering organisation tasked with a massive, high-stakes objective: rebuilding these modules into a modern, AI-native architecture. • Manage, coach, and develop a team of Engineering Managers. Foster a culture of high performance, deep psychological safety, and continuous feedback. • Spearhead the greenfield rebuild and platform modernisation of our four core modules into a distributed, cloud-native system. • Provide strong architectural oversight, ensuring key decisions align with our tech stack while actively embedding AI capabilities into both engineering workflows and product features. • Build rapid trust across technical and non-technical boundaries, translating complex engineering roadmaps into clear strategic value for commercial leaders. • Balance high-level strategic vision with relentless operational execution, ensuring high-quality, predictable delivery in a fast-paced environment.

• Lead and grow high-performing engineering teams, fostering a culture of ownership, continuous improvement, and technical excellence. • Coach and develop engineers, support them through regular feedback, mentorship, and career development, while creating an inclusive and collaborative team environment. • Define and drive long-term vision, set the strategy for your teams, ensuring perfect alignment with company objectives and product priorities. • Identify and prioritize high-impact opportunities, partner closely with Product, Data, and Design to ensure teams focus on initiatives that deliver the greatest customer and business value. • Own execution and delivery. Balance speed, quality, and reliability while ensuring teams consistently achieve desired outcomes. • Provide technical leadership, guide system design and architectural decisions, help teams navigate trade-offs, and remove technical obstacles. • Champion engineering best practices. Drive continuous improvements in code quality, operational excellence, development processes, and technology evolution. • Collaborate cross-functionally, work with stakeholders across the broader business to maximize impact and align on priorities, strategy, and outcomes.