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17 часов назад

Senior Product Manager (Enterprise Experience)

96 000 - 130 000GBP
Формат работы
remote (только United_kingdom)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Product Manager (Enterprise Experience) (AI infrastructure): Making enterprise development environments easy to buy, deploy, integrate, and operate with an accent on security, compliance, governance, and scalable infrastructure. Focus on shaping enterprise product strategy, designing integrations and deployment architectures, and solving adoption barriers for human and AI-agent development workflows.

Location: United Kingdom; remote

Salary: United Kingdom £96K–£130K; Ireland €136K–€184K; Poland PLN 462K–PLN 625K. Equity and bonus offered.

Company

A platform for AI development infrastructure that provides self-hosted, agent-ready workspaces with enterprise security, governance, compliance, and performance controls.

What you will do

  • Co-own the Enterprise Experience strategy, prioritization, execution, and outcomes with another Product Manager.
  • Define enterprise-readiness strategy and translate customer needs and market expectations into a product roadmap.
  • Remove technical, security, compliance, and operational barriers to enterprise adoption.
  • Shape large-scale deployment and operations, including reference architectures, high availability, upgrades, and lifecycle management.
  • Drive integrations for identity, access management, application lifecycle management, reporting, and collaboration.
  • Engage enterprise customers and field teams through roadmap reviews, technical evaluations, and deployment discussions.

Requirements

  • 5+ years building software products end-to-end with clear customer and business outcomes, including at least 3 years with developer-facing, infrastructure, or enterprise platform products.
  • Experience building products for enterprise IT, platform engineering, DevOps, or security teams.
  • Understanding of how large organizations evaluate, procure, deploy, and operate software.
  • Familiarity with Kubernetes, cloud and hybrid deployments, high availability, authentication, authorization, and lifecycle management.
  • Experience translating enterprise security, compliance, or regulatory requirements into practical product capabilities.
  • Understanding of enterprise integrations, interoperability, and security, compatibility, and maintainability trade-offs.
  • Experience working with enterprise engineering organizations where developers are users and platform engineering, IT, security, and leadership influence purchasing decisions.
  • Strong technical foundation for credible collaboration with engineers and architects; ability to operate independently and drive complex initiatives with minimal oversight.
  • Willingness to travel occasionally for customer and industry engagements.

Nice to have

  • Experience with SOC 2, ISO 27001, FedRAMP, HIPAA, or GDPR.
  • Hands-on familiarity with Kubernetes, infrastructure-as-code, or enterprise deployment architectures.
  • Experience building products for regulated financial services, healthcare, or government organizations.
  • Experience with air-gapped environments, sovereign AI, data residency, or self-hosted AI infrastructure.
  • Experience with enterprise procurement, technical sales enablement, or complex customer evaluations.

Culture & Benefits

  • Full-time remote role based in the United Kingdom.
  • Equity and bonus offered.
  • Interview process is intended to take two to four weeks when schedules allow.
  • Interview panels include individual contributors, managers, and senior leaders.
  • AI assistance is not permitted during conversational interviews but is permitted for take-home assessments with honest disclosure of its use.

Hiring process

  • Complete interviews with individual contributors, managers, and senior leaders.
  • Do not use AI assistance during conversational interviews.
  • AI tools may be used for take-home assessments, but the submission must state where and to what extent AI was used.

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