Здесь чёткая зона ответственности senior-уровня за ключевую AI-инфраструктуру, сильный продуктовый контекст и подробно описанные льготы; зарплата не указана, поэтому оценить общую компенсацию сложнее.
Стратегическая роль
Развитие AI
Щедрые льготы
?Быстрый темп
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff Product Manager (Runtime Team) (AI infrastructure): Owning the runtime, inference layer, and data platform that serve and improve conversational AI agents in production with an accent on latency, cost, reliability, model serving, and data governance. Focus on evaluating infrastructure tradeoffs, building runtime performance frameworks, sequencing platform roadmaps, and translating technical constraints into business decisions.
Location: London, United Kingdom. Flexible working from home is available, with work from outside the UK permitted for up to 6 months each year.
Company
PolyAI provides an agentic dialog platform and lifelike voice assistants for automating enterprise customer service, powered by a proprietary dialog model trained on more than a billion enterprise conversations.
What you will do
Own product strategy for the production runtime, model inference and data platform.
Set build-versus-buy and self-hosted-versus-managed serving direction, evaluating cost, latency and scalability.
Build evaluation frameworks for latency, throughput, cost per minute or token and failure rates, then drive continuous improvement.
Partner with infrastructure and platform engineering leadership to prioritize technical roadmaps without visible customer-facing surfaces.
Own conversation-data flows, including residency, retention and access-control tradeoffs.
Lead engineers, data scientists and infrastructure specialists without formal authority and represent platform cost, capacity and risk in executive discussions.
Requirements
6+ years of product management or related technical experience, including ownership of infrastructure, ML/data platform or runtime-adjacent products rather than only user-facing features.
Bachelor’s degree or foreign equivalent in Computer Science, Engineering, Statistics or a related AI/ML or distributed-systems field, or equivalent industry experience.
Strong working knowledge of inference and model-serving infrastructure, including latency budgets, GPU/node economics and self-hosted versus managed serving tradeoffs.
Ability to own a roadmap without an end-user-visible surface and build the business case for infrastructure investment.
Experience making data-platform decisions involving pipelines, residency and compliance constraints, and regional or product-line data fragmentation.
Demonstrated senior-level direction-setting and experience mentoring junior product managers.
Entrepreneurial mindset, comfort with ambiguity and ability to iterate quickly in a high-growth environment.
Exceptional cross-functional communication, especially when translating infrastructure tradeoffs for non-technical stakeholders.
Culture & Benefits
Employee share options plan and competitive base salary shaped by experience and location.
Flexible work-from-home policy, with a one-off home-working allowance.
25 holidays on joining, increasing with tenure to a maximum of 32 holidays.
Private healthcare and dental cover, enhanced parental leave, family-forming and fertility programmes, menopause care and 24/7 employee assistance support.
Annual learning and development allowance, Bike2Work scheme, gym and relaxation-app discounts, and mental-health programmes.
Paid five-week sabbatical after five years of employment.
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