Technical Product Manager

Personio's intelligent HR platform helps small and medium-sized organizations unlock the power of people by making complicated, time-consuming tasks simple and efficient. Our team of 1,500 Personios is building user-friendly products that delight our 15,000+ customers and their 1.5 million employees. Ready to make an impact from day one?

This role requires 2 days per week in the office and is based in Munich, Berlin, or Dublin.

Personio is on the path to becoming an AI-first company, redesigning how every department operates, and the Internal AI team is leading that transformation from the inside. Central to that mission is Personio's internal AI operating system: the layer of internal tools, automations and agents each function runs on. The mandate is broad: rebuilding how an entire business function operates end to end, with executive sponsorship behind the structural change that requires.

This role owns that transformation for one department, and at Staff level also owns priorities that cut across multiple departments, shaping how the wider team prioritises, governs and works with stakeholders, and mentoring other product managers to raise the bar across the group. You embed in a business function and learn how the work actually gets done. Then you redesign it from first principles, working out how you would build the function today, and deliver what it needs to work that way.

You set the roadmap with the department's leadership and stay accountable until the new way of working is the way the team actually works. You'll work closely with our AI Engineers to deliver it, prototyping yourself to prove an idea works and partnering with them on everything that needs production engineering.

This is a role for a builder and systems thinker who is comfortable with technical work: finding your way around a repository, opening a pull request, standing up a working prototype in no-code tools. Engineering experience is welcome, though not a requirement.

Role Responsibilities: What you‘ll do

• Build the transformation roadmap for your department with its leadership team, defensible in front of their C-level counterparts, with opportunities clearly mapped and sized.

• Define the outcomes of the transformation with department leadership, translate them into metrics and baselines, and drive the results all the way through.

• Design the department's operating model from first principles: which processes and workflows AI should run end-to-end, where a human needs to stay in the loop, and how decisions get made across the function.

• Scope and design the products that make the redesign real: what each agent, internal app or automation needs to do, and what's in scope for a first version versus later.

• Prototype hands-on in no-code and low-code tools, proving a redesign against real work before the department commits to it.

• Deliver alongside AI Engineers, owning the requirements, priorities and results for anything that needs production engineering.

• Land the change, resetting targets, roles and rituals where needed and driving the adoption and change management that make it stick, so the function keeps improving without the AI team in the room.

• Own priorities that cut across departments, on top of your own department's roadmap — shaping how the wider team prioritises, governs and works with stakeholders, and mentoring other product managers to raise the bar across the group.

Role Requirements: What you need to succeed

• 8+ years in product management or operations at a fast-moving tech company or top-tier consultancy, including ownership of a transformation area end-to-end

• Complex change management you've delivered inside an organisation, changing how a team works day to day

• Systems thinking: you see how a function's processes, incentives, metrics and decision rights have to move together

• Real product management skills and product sense: you've taken a live product, internal or external, from zero to one, and you're not afraid to get into the build yourself rather than hand it off

• Strong analytics and measurement: SQL, and the judgment to set outcome metrics and baselines that hold up under scrutiny

• AI in your own work and your team's: workflows you've genuinely changed, adoption you've driven beyond yourself, and the ability to explain in plain words what an agent, an MCP and a skill are

• Comfortable with technical work: repositories and pull requests, the terminal, reading and changing a script, and building in n8n, Zapier, Make, Cowork and Claude skills

• High agency with senior stakeholders: you scope ambiguous work yourself, carry C-level stakeholders without direct authority, and hold a position under pressure

• Comfort operating without a predefined framework, in genuine ambiguity: you set the approach rather than execute someone else's

Why Personio?

Personio is an equal opportunities employer, committed to building an integrative culture where everyone feels welcomed and supported. We embrace uniqueness and understand that our diverse, values-driven culture makes us stronger. We are proud to have an inclusive workplace environment that will foster your development no matter your gender, civil status, family status, sexual orientation, religion, age, disability, education level, or race.

Aside from our people, culture, and mission, check out some of the other benefits that make Personio a great place to work:

• Receive a competitive reward package – reevaluated each year – that includes salary, benefits, and pre-IPO equity

• Enjoy 28 days of paid vacation, plus an additional day after 2 and 4 years

• Make an impact on the environment and society with 1 (fully paid) Impact Day

• Receive generous family leave, child support, mental health support, and sabbatical opportunities.

• We follow an office-led, remote friendly approach, including opportunities to work from home and international locations. Many of our teams have designated days for gathering in the office to enhance collaboration and foster a sense of community.

• We enjoy gathering for meals, cultural initiatives, and events like local Summer Sessions and year-end celebrations. There's also healthy snacks, drinks, and a weekly catered lunch.

   

В Т-Бизнесе более 3000 продавцов, 20+ продуктов и более 900 тысяч клиентов. В части AI-трансформации домен пока находится в начале пути.

Сейчас мы развиваем голосовых LLM-агентов, анализ и оценку разговоров, uplift-модели и автоматизацию ручной работы продавцов.

• Формировать стратегию развития ML-продукта
• Формулировать бизнес-задачи для ML-решений и приоритизировать их
• Управлять жизненным циклом ML-моделей: обучение, тестирование, развертывание и мониторинг
• Контролировать и оптимизировать качество ML-моделей с точки зрения точности, скорости ответа и стабильности
• Анализировать данные и формировать гипотезы для развития ML-решений
• Проводить эксперименты для оценки ML-моделей: A/B-тестирование, офлайн-оценку, онлайн-эксперименты в теневом режиме и стресс-тестирование
• Оптимизировать пользовательский опыт с помощью ML-моделей и ML-решений
• Запускать эксперименты и оценивать их результаты
• Взаимодействовать с бизнесом, командами разработки и дата-командами для эффективного применения ML-решений

• У вас есть опыт запуска LLM-продуктов и понимаете их специфику: промпты, RAG, оценка качества ответов, работа с галлюцинациями, стоимость и latency
• У вас есть опыт построения продуктов с нуля или на начальной стадии
• Имеете опыт работы с данными: подготовки, очистки и фиче-инжиниринга
• Имеете опыт проведения статистического анализа и A/B-тестирования
• Разбираетесь в Data Science, NLP и Computer Vision
• Хорошо знаете основы ML
• Знаете алгоритмы ML и понимаете принципы их применения
• Знаете основные метрики качества ML-моделей: точность, полнота, F1-score, latency
• Понимаете принципы оптимизации скорости и эффективности работы ML-моделей с учетом вычислительных ресурсов и стоимости
• Умеете взаимодействовать с бизнесом для эффективного применения ML-решений

• Гибридный график и офис у метро «Белорусская»
• Возможность работы в аккредитованной ИТ-компании
• ДМС со стоматологией, включая чекапы, компенсацию покупки лекарств и льготные условия страхования для близких. Еще — страховка от несчастных случаев и болезней
• Рост по карьерному треку: проходите курсы по софт- и хард-скиллам, развивайтесь с поддержкой ментора и повышайте уровень с матрицей компетенций и регулярным ревью
• Сильное комьюнити. Вы будете работать с экспертами в своей области, сможете делиться знаниями и выступать на конференциях, посещать митапы и писать статьи
• Онлайн-консультации с психологами, юристами, специалистами по финансам и здоровому образу жизни
• Компенсацию затрат на спортивные абонементы, приложение Т-Спорта для онлайн-занятий и командные тренировки с коллегами
• Три дополнительных дня к отпуску — можно использовать для отдыха или получить компенсацию
• Специальные тарифы на продукты Т-Банка и широкую программу скидок от партнеров
• Достойную зарплату — обсудим ее на собеседовании

Location

Amsterdam, Netherlands, or remote within Europe; candidates must be authorized to work in the country where they apply.

About the company

A global AI cloud provider building a full-stack platform for training, inference and large-scale GPU workloads, with R&D hubs across Europe, the UK, North America and Israel and a team of 1,500+ people.

The product organization is expanding its AI compute platform team and hiring technical product managers across several areas of the platform.

Responsibilities

• Own one area of the AI compute platform end-to-end: strategy, roadmap, discovery, delivery and adoption, with measurable customer and platform outcomes.
• Define the platform contracts customers rely on, including APIs, semantics, system events and operational behavior, at hyperscaler quality.
• Coordinate delivery across platform engineering, networking, storage, managed runtimes, observability, IAM, billing, capacity planning and support.
• Turn customer pain into product commitments through structured discovery and close the loop so recurring failures and friction are eliminated.

Requirements

• 6+ years in product management for platforms or infrastructure, or as an SRE or engineering lead with strong product instincts.
• Solid technical depth in cloud infrastructure: API semantics, control-plane versus data-plane behavior, lifecycle and multi-tenant operations, with the ability to debate design with engineering leaders as a peer.
• Experience building or operating cloud, GPU or HPC infrastructure at meaningful scale, such as thousands of nodes across multiple regions and tenants.
• Proven record of shipping complex platform products with quantified impact, plus strong analytical skills and experience leading discovery-heavy work.