VP, Platform Engineering

We're all about helping brands turn ideas into impact. Frontify’s brand platform transforms how teams organize digital assets, collaborate on projects, and create engaging campaigns. Our people empower thousands of marketers and designers — including teams at Uber, Microsoft, Volkswagen, and Telefónica — to build engaging brands. With headquarters in St. Gallen, Switzerland, and offices in London and New York City, we share a vibrant culture built on creativity, collaboration, inclusion, and joy. And we’re on the lookout for new team members to share our vision. If you’re ready for a brand-new adventure, keep reading! Your team Your new team is a group of motivated, collaborative, and innovative Engineers. Working on-site, hybrid, or fully remote, they come together to create and evolve a well-loved product but always keep room for new ideas and approaches. Outside of work, they’re parents, gamers, bookworms, adrenaline junkies, and so much more. Your Mission As the Vice President of Platform Engineering, you lead a team of around 20 engineers across backend platform, frontend platform, DevOps, architecture, accessibility, and quality assurance. You set the platform technology strategy and own its execution. Every product engineer builds on the platform you own, from cloud infrastructure to the internal developer platform to our AI tooling. Your mandate is to remove friction at the source, so stream-aligned product teams ship more, at higher quality. Growing the people on your team matters as much as the platform itself. You mentor your engineers and managers, and you provide them with the support to develop in their roles and careers. This role reports to the CPO/ CPTO and sits on the Product leadership team. Your closest partner is the VP of Product Engineering. You jointly set the priorities that determine where the platform invests, so the work you ship aligns with real product needs. What you'll own Strategic platform leadership You bring a strategic lens to the platform org. Reading where teams lose time, you identify leverage points and turn them into a clear, prioritized roadmap so the org invests in the highest-impact work first. Tech debt is a deliberate choice in your hands. You make the technical calls that reduce friction and let product teams ship faster at higher quality. The platform's security posture is yours. You surface platform-level vulnerabilities and close them before they become incidents. The platform surfaces you're accountable for Developer platform and internal tooling that lowers cognitive load for stream-aligned teams. AI platform: model gateway over external providers, eval infrastructure, agent frameworks, LLM observability, safety controls. Infrastructure, cloud, and DevOps: reliability, scalability, cost efficiency. Frontend platform: design system, component library, shared build tooling. Backend platform: shared services, APIs, data infrastructure. Quality engineering: test automation, eval frameworks, quality standards. Architecture and technical standards across the engineering org. Security posture and platform-level vulnerabilities, ensuring they're accounted for and attended to. What success looks like You measure developer experience and act on what the numbers tell you. Product teams spend more time on product and less on undifferentiated platform work. AI tooling reaches everyday use across teams, and you can show where it saves time. Tech debt stays under control, with a deliberate strategy for keeping it in check. You track security and compliance gaps and close them on a known timeline. Engineers choose to use the platform you build because it makes their work easier, not because policy forces them onto it. Your responsibilities You've led platform or infrastructure engineering at scale, with 12+ years in engineering and 5+ years leading other leaders. You've built or matured an internal developer platform that engineers have adopted by choice. You're deeply versed in cloud infrastructure, CI/CD, reliability, and cost management. You've set architectural direction across multiple teams and made it stick. You can reason about AI and LLM platform needs: gateways, evals, observability, and safety tooling. You come from a background of fast-scaling SaaS product companies. You stay curious about AI and experiment with it in how teams work. You hire well, set clear standards, and give teams room to own their work. You’re fluent in English.