beamery - Interim VP of Engineering
Requirements
• 15+ years engineering; 7+ years leading orgs of 50+ at scale • Done this before — stepped into a leadership void and built momentum fast • Deep enterprise B2B SaaS — multi-tenant, cloud-native • Commercially fluent — connects engineering decisions to business outcomes • Strong people reader — knows who to back, develop, and move • Builds teams that run themselves — autonomous execution is the goal, not dependency • Genuine AI-native — uses AI to accelerate how the team builds, not just what it builds • No ego about interim — outcome-focused, clean handover minded • Beamery is for Everybody. Diversity and open expression are fundamental to us. We acknowledge the challenges in our industry and strive to develop an inclusive culture where everybody can contribute. We are dedicated to creating an inclusive environment for everyone, regardless of ethnicity, religion, color, sexual orientation, gender identity, race, national origin, age, disability status, or caregiver status. If, for whatever reason, you need us to make reasonable adjustments and adaptations to our recruitment process, please email [email protected] • Visit our Diversity, Equality and Inclusion page https://careers.beamery.com/life-at-beamery/diversity-equality-inclusion/to learn more about progress and commitments.
Responsibilities
• Accountability & Results • Own day-to-day leadership of the full engineering organisation — product engineering, platform, technical support, and IT • Set, deliver, and report engineering OKRs and KPIs in partnership with the CPTO — deployment frequency, lead time to change, commitment vs. delivery ratio, cost to serve, and team health • Leadership & Development • Coach and develop engineering managers and leads — building autonomous, self-sufficient delivery teams that don't need to escalate to thrive • Own hiring and performance decisions at the team level • Strategy & Architecture • Define and evolve the technical strategy for how Beamery builds and operates its platform — in close alignment with product and data science direction • Embed AI-first ways of working across the engineering organisation — accelerating delivery pace, reducing time to market, and building a culture where AI is a core part of how the team builds • Manage tech debt pragmatically — triage and execution, in line with strategic priorities set by the CPTO • Own the cloud infrastructure strategy and platform architecture — ensuring scalability, reliability, and cost efficiency at scale • Delivery & Operations • Drive delivery throughput, predictability, and platform reliability across all teams — CI/CD, on-call, incident management, disaster recovery • Ensure security and regulatory compliance across R&D and production platforms — including ISMS implementation and applicable industry standards • Manage relationships with critical third-party platform and technology suppliers
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