6 дней назад
AI Product Ops & AI Enablement Lead
66 400 - 77 500€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Product Ops & AI Enablement Lead (AI/Product Management): Building AI-powered product operations tools for the software development lifecycle and scaling a design system across an enterprise product organization with an accent on AI-native specifications, measurable quality standards, adoption, and governance. Focus on defining model and workflow trade-offs, designing evaluation and rollback practices, leading cross-functional delivery without direct authority, and embedding evidence-based product practices.
Location: Barcelona, Spain
Salary: €66,400–€77,500 yearly
Company
is a consumer intelligence company delivering analytics and insights into consumer buying behavior across more than 100 markets.
What you will do
- Own the product vision, strategy, prioritization, capacity allocation, and 12–18 month roadmap for the PM Operations and AI Enablement portfolio.
- Define and ship AI-powered tools for the software development lifecycle, including workflows, model choices, guardrails, human-in-the-loop design, quality standards, and cost and latency budgets.
- Lead adoption through pilots, onboarding, enablement content, training, office hours, champions, and support handover.
- Establish lightweight product operating standards covering intake, prioritization, PRDs, documentation, decision logs, and definitions of done.
- Define programme metrics, instrument usage, report results to senior leadership, and manage trade-offs across speed, reliability, cost, and data risk.
- Partner with Legal, Privacy, Security, and IT on data classification, model approval, access, and responsible-AI standards.
Requirements
- Senior product leadership experience in enterprise B2B SaaS with end-to-end ownership from discovery through delivery.
- Hands-on experience designing and shipping generative or agentic AI capabilities in a live product.
- Working fluency in prompt and context design, retrieval, agentic workflows, guardrails, human-in-the-loop design, and model evaluation.
- Experience leading cross-functional teams without direct reporting lines, mentoring product and design practitioners, and embedding operating practices.
- Experience creating or scaling a design system and driving adoption across teams.
- Fluent English required. Strong research, product analytics, facilitation, written communication, commercial judgment, and enablement skills are also required.
Nice to have
- Formal grounding in AI product development and experience with agentic development, LLM evaluation, or observability tooling.
- Familiarity with DORA, SPACE, DX Core 4, AI governance obligations, CI/CD, release operations, or environment management.
- Experience standing up a new function or a founder background.
Culture & Benefits
- Flexible working environment.
- Volunteer time off.
- LinkedIn Learning.
- Employee Assistance Program.
- AI-supported recruitment processes operate under fairness, transparency, human oversight, and inclusion principles; final hiring decisions are made by humans.
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