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Pearson VUE
Pearson VUE
1 001 – 5 000 Xodimlar
KonsaltingLogistikaSog‘liqni saqlash
Pearson VUE konsalting, sog‘liqni saqlash va logistika kabi turli sohalardagi tashkilotlarga kompyuter asosidagi test va malakani tasdiqlash xizmatlarini taqdim etadi. Uning platformasi imtihonlarni rejalashtirish, nomzodlar uchun resurslar va test sharoitlarini moslashtirish vositalari bilan birga muhim sertifikatlash hamda kasbiy imtihonlarni qo‘llab-quvvatlaydi. Pearson VUE imtihon tashkilotchilariga ko‘nikmalarni baholash, nomzodlarga esa bilimlarini tasdiqlash imkonini berib, kasbiy rivojlanish va soha standartlariga hissa qo‘shadi. Kompaniyaning ishga yollash faoliyati baholash jarayonlarini tashkil etish va nomzodlar tajribasiga e’tibor qaratadigan yirik xalqaro jamoani qamrab oladi.
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Kompaniyadagi ish o‘rinlari

Software Engineering Manager, Innovation Engineering (London Hybrid)

Lead Pearson Labs’ innovation engineering team at Pearson VUE, guiding AI, immersive technology, and learning-focused experiments. Turn early hypotheses into validated, demonstration-ready prototypes and help teams make clear scale, pivot, or stop decisions.

GBBuyuk BritaniyaGibridTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: inglizchaMuhandislik menejeri

Tavsif

  • Oversee Pearson Labs’ daily engineering operations and assign work across an evolving research portfolio
  • Support engineers through feedback, career development, onboarding, and AI-native working practices
  • Coordinate multiple experiments, resolve obstacles, and connect engineers around shared initiatives
  • Define workable standards for prototyping, documentation, experimentation, evidence quality, and demonstration readiness
  • Help teams shape hypotheses, establish measurable goals, and decide whether to scale, pivot, or stop
  • Track portfolio health and communicate progress, risks, and recommendations with clarity
  • Organize customer sessions, showcases, and demonstrations for executive audiences
  • Evaluate emerging technologies, shifting business priorities, and potential areas for Pearson Labs to investigate
  • Manage a distributed engineering team building experiments in AI tutoring, agentic systems, immersive environments, knowledge graphs, voice agents, and novel hardware

Talablar

  • Demonstrated experience managing software engineers and fostering a high-performing, supportive team culture
  • Strong software engineering expertise and the technical judgment to review prototypes, question architecture, and collaborate directly with engineers when needed
  • Experience leading rapid-learning initiatives, including experiments that may be discontinued or discarded
  • Strong prioritization and organizational skills across concurrent initiatives at different stages of maturity
  • A practical, timely, and constructive approach to feedback, coaching, and team development
  • Confidence working with customers, clients, and senior stakeholders and explaining technical work clearly
  • An entrepreneurial outlook with curiosity about evolving technology, learning, and broader business contexts
  • Experience with AI-assisted engineering, coding agents, or agentic workflows, or a strong willingness to adopt them
  • Experience leading distributed or international teams and building cohesion across locations
  • Interest in education, learning science, EdTech, applied research, startups, or innovation environments is advantageous
  • Availability to work from the London office approximately three days per week
  • Willingness to travel occasionally within the United Kingdom or internationally
  • A CV or résumé plus a brief response about the strongest team culture you have built or experienced
  • Optional examples may include talks, writing, projects, prototypes, or teams

Imtiyozlar

  • Broad visibility across Pearson
  • Direct access to senior leaders and customers
  • The opportunity to shape a management function for a team exploring frontier technologies
  • A work environment centered on curiosity, creativity, evidence, and collaboration

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