VP of Engineering, Applications (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
VP of Engineering, Applications (AI): Leading the engineering systems and execution to turn ML capabilities into reliable user experiences across backend, mobile, and desktop platforms with an accent on high-reliability workflows and persistent context. Focus on setting architectural direction for AI-powered product workflows, balancing speed and discipline, and ensuring system production readiness.
Location: Remote (United Kingdom)
Company
is building a proactive AI chat app designed to bring intelligence to conversations, errands, and complex workflows for everyday users.
What you will do
- Own the application engineering strategy and execution across backend, mobile, and desktop platforms.
- Lead and grow a senior applications team consisting of backend, mobile, and desktop engineers.
- Set architectural direction for AI-powered product workflows, APIs, and client integrations.
- Collaborate with ML leadership to translate model capabilities into shippable product features.
- Manage high-impact technical trade-offs regarding latency, cost, reliability, and security.
- Establish production readiness including observability, monitoring, and privacy controls.
Requirements
- Significant experience leading application or product engineering for complex systems.
- Strong hands-on background in building and shipping production-ready backend systems.
- Proven experience delivering AI-powered products and understanding model integration trade-offs.
- Expert-level system design skills across services, APIs, and data flows.
- Ability to operate across multiple platforms (backend, mobile, desktop).
- Must be based in the United Kingdom
Culture & Benefits
- High talent density environment with a hands-on approach to development.
- Collective decision-making process with a focus on rapid speed and iteration.
- Culture of independence, judgment, and structured execution.
- Opportunity to work on a product aimed at providing practical AI benefits to billions globally.
Hiring process
- Technical evaluation of applications followed by 3 to 4 interviews.
- Interviews conducted via virtual meetings and/or onsite.
- Prompt decision-making process following the final evaluation.
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