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Location: United Kingdom (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applications from the UK, Ireland, Sweden, Spain and Germany. The opportunity: Grafana Labs is building a native experimentation platform: a Grafana app that lets teams define A/B tests, connect them to feature flags and product telemetry, and get trustworthy, statistically sound answers about what their changes actually did. It started as a hackathon project and is now used by Grafana engineering and product teams in our internal environment to run real experiments. The next step is to make it a first-class product: one we rely on every day internally and, over time, one we offer to Grafana Cloud customers alongside Frontend Observability, Session Replay and our other user-experience capabilities. You'll join the Product Analytics team , a group of highly technical product analysts who help teams across Grafana understand how our products are used and run experiments on them. As the team's dedicated software engineer, you'll own the engineering of the experimentation app and have a lot of influence over where it goes. You'll partner closely with data scientists on the statistics, data engineers on event pipelines and the data warehouse, software engineers across Grafana on feature flags, Frontend Observability and the App Platform, and product stakeholders who rely on experiment results to make decisions. This is a hands-on engineering role that ships production code. It is not an analyst role. About the product: The experimentation app is built on the Grafana App Platform: Frontend: a TypeScript and React app plugin using @grafana/ui, plus a custom datasource plugin that powers experiment statistics panels. Backend: Go, built with the Grafana App SDK. Experiments are Kubernetes-style custom resources defined in CUE, with an operator, admission webhooks, and support for declarative, GitOps-style management. Feature flags: integration with OpenFeature and the OpenFeature Remote Evaluation Protocol (OFREP) , Grafana's multi-tenant feature toggle service, and an embedded GO Feature Flag evaluator. Statistics engine: a Bayesian analysis engine (TypeScript, with a Go port) that produces a direction-aware verdict per metric, probability to be best, credible intervals, expected loss and sample-size recommendations. Data: experiment exposure and outcome events flow from product instrumentation through RudderStack into BigQuery, or from Grafana Faro into Loki, and are queried live through Grafana datasources. AI: experiment authoring assisted by Grafana Assistant , which discovers relevant data and drafts the experiment configuration for a human to review. What You’ll be doing: Evolve the experimentation app from internal tool to product. Full ownership of features end to end across the React frontend and Go backend, from problem framing and design through rollout, measurement and iteration. Build the experimentation experience. Develop intuitive workflows for defining hypotheses, configuring experiments and metrics, managing their lifecycle, and exploring results. Make these experiences useful for product managers and analysts as well as engineers. Make instrumentation easier to adopt and trust . Evolve the experimentation SDK and its OpenFeature and Faro integrations. Help teams connect variant assignment, actual exposure, and outcome events with consistent identity and event contracts. Connect experiments to the rest of Grafana’s user-experience stack. Integrate with Grafana Faro and Frontend Observability so flag exposures and outcomes are captured automatically, and link experiment results to Session Replay and critical user journeys so teams can see why a variant won, not only that it won. Harden the statistics and analysis path. Work with our data analysts to extend the statistics engine, and make analysis scalable, cost-aware and correct. Examples include moving computation server-side, scheduled analysis, alerting on experiment health, and guardrails against misleading results. Use AI where it genuinely helps. Extend the Grafana Assistant integration for authoring, explaining and reporting on experiments. Raise the engineering bar. Mentor teammates, including analysts who contribute code, through code review, pairing and design docs. Write the architecture decision records (ADRs), docs and demos that help other teams adopt experimentation. Own what you ship. Take part in on-call for the services you build, and support the internal teams that run experiments on them. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups, always with strong code review and quality standards. You’ll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: We highly value people who are intellectually curious, default to transparency, have a strong bias towards action, and are kind and enjoy working as a team. Strong full-stack engineering experience. You’ve built and operated production web applications with TypeScript and React, and backend services in Go (or a similar language, with willingness to work in Go). You value maintainability, automated testing and secure development practices. Experience building an in-house platform or integrating existing experimentation and A/B testing platform (for example Statsig, Eppo, GrowthBook, Optimizely, LaunchDarkly experiments, or an in-house platform). Product and data intuition. You care whether what you shipped actually moved the needle, and you’re comfortable working with event data, SQL and data warehouses such as BigQuery. Technical ownership. You’ve delivered complex projects with minimal supervision, broken them into short feedback loops (analyze, design, ship an MVP, learn, iterate), and helped teammates work more effectively. Operational responsibility. You’ve been on call, supported software in production, and know how to make systems observable and debuggable. Pragmatic AI usage. You use AI coding tools thoughtfully, validate their output, and share practices that improve the team’s speed and quality. Clear communication. You can explain technical and statistical tradeoffs to engineers, analysts and product managers in a fully remote, asynchronous environment. Bonus Points For: Hands-on experience with feature flags and OpenFeature. A working understanding of experiment statistics: Bayesian or frequentist testing, sample sizing, variance reduction, and common pitfalls such as peeking and sample ratio mismatch. Experience with Kubernetes concepts: custom resources, operators, admission webhooks, GitOps. Experience building Grafana plugins or apps, or with the Grafana App SDK or Scenes. Familiarity with frontend observability and product analytics tooling, such as Grafana Faro, RUM, session replay, RudderStack or Segment. Open source contribution or maintainership. Experience as a user of Grafana, Prometheus, Loki or Tempo, whether at work or on a homelab. Compensation & Rewards: In the UK, the base compensation range for this role is £94 ,000 - £118,000 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: New York City Metropolitan Area; New Jersey Workplace: hybrid About the Role: The problem you'd be solving We build AI systems that enterprises run their business on. Production systems inside banks, insurers, and health systems, where our engineers embed with the client, learn the work, and own the outcome. We call them Forward Deployed Engineers and Forward Deployed Executives. These people hold design conversations with a Chief Data Officer on Tuesday and ship to production next Monday. We are hiring a People & Talent Partner to help us scale our FDE/FDX, Product, and GTM teams. Five open reqs at a time, none of them generic. We would rather you run five properly than twenty badly. Beyond filling roles, you will own the talent community strategy around Provectus, and you will build the people-operations presence for our US team locally — be the person our US colleagues come to first. Location: Hybrid, New York: 2-3 days onsite. Type: Full-time (W2). What You'll Do: Recruiting: Full-cycle hiring across the US for Forward Deployed Engineers (software, AI/ML, architects, leads), Forward Deployed Executives, Product Owners, and Business Development Managers. Intake to offer: Partnership with the hiring managers. You'll run calibration with them and bring market data when a scorecard doesn't match what exists. Architect and execute Provectus's talent community strategy in the US. Meetups, workshops, hackathons, university programs, and the AI/ML communities. You don't need to have run events before. You need to want to help with that, and there's a budget and support from marketing when you do. US hiring strategy. Talent market intelligence, compensation benchmarking, and how we position Provectus against the companies competing for the same engineers. People operations for the US team. You'll be the on-the-ground people partner for our US-based colleagues, working with the Head of People Operations: Onboarding of US hires. First point of contact for US employees on benefits, time off, policies, and day-to-day people questions. Support for the performance review cycle for US-based staff: scheduling, collecting feedback, tracking outcomes. Team engagement and onsite days — the rhythm that makes a hybrid New York team feel like a team. What's the split between Recruiting and HR? 70/30 What You'll Bring: 4+ years of full-cycle recruiting experience in a fast-paced technical environment, ideally at an AI, cloud, or consulting firm Proven track record of sourcing and hiring senior technical profiles — AI/ML engineers, software engineers, architects, or consulting leaders Demonstrates personal AI adoption — uses AI tools as part of their recruiting workflow, not just aware of them Exposure to HR generalist or people-operations work — onboarding, benefits, employee relations — or a clear appetite to build it. You don't need to have been an HRBP. Excellent communication and stakeholder management skills; comfortable partnering with C-level and senior technical leadership Highly organized, self-directed, and comfortable with ambiguity in a distributed, global team Commitment to Provectus's core values: Obsession, Ownership, Transparency, and Partnership Based in the New York / New Jersey area and able to be onsite [2-3] days a week Nice to have: Experience building talent community: events, meetups, professional networks, or university programs Familiarity with US benefits administration, onboarding, and experience with an HRIS. Where this goes: This is a growing US function. The person who does this well takes on more of the community mandate, more senior searches, a deeper people-partner role as the US team grows, and a path toward owning the US talent function. We'll talk about that trajectory. What We Offer: Direct impact on Provectus's growth in the US market with direct visibility to leadership. Access to the Provectus Learning Hub, Claude Code certification support Collaborative culture that rewards ownership, curiosity, and continuous learning Full-time W2 model. Base $150k- 170k. Final offer reflects experience, skills, and market data. Health, vision, dental, disability, and life insurance; 401(k) plan; unlimited vacation. About Provectus: Provectus is an AWS Premier Partner and an Anthropic Strategic Partner working at the front edge of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable outcomes through bespoke applications, managed services, and advisory work. We focus on Financial Services & Insurance and Healthcare & Life Sciences, with offices across North America, LATAM, and EMEA. Hiring Process: 30-45-minute call with the Head of Talent Acquisition 30-minute call with the Head of People Operations On-site meeting with the CEO

Location: United States Workplace: Remote Coder is hiring a Senior Product Manager to own Workflows and Integrations, two of the newest surfaces in Coder Agents. You'll take charters that are close to a blank page and give them a strategy. Workflows is the automation layer for the AI software development lifecycle. It owns how the development work a team repeats every day becomes something agents run for them, and how our users author, reuse, and share those automations. Integrations is the connective tissue that lets our agents reach outward and outside tools reach in. First-party product integrations such as Slack and Linear, connectors to the external tools our customers already run, and the API and auth work that makes each of those feel like a first-class part of the product. You'll define vision and strategy where it's still nascent, then bring enough structure to scale without slowing momentum. You'll partner closely with engineering, design, and go-to-market teams to ship and measure impact. We're running lean on process by design, so expect to build judgment, not bureaucracy. What you'll do here - Own the full product lifecycle for Workflows and Integrations, from incubating ideas through GA and into ongoing scale, including the sequencing between the two. - Define and evolve product vision and strategy for both charters, synthesizing customer, market, and business signals into a clear roadmap. - Define what development work is worth automating first, and what it takes for a team to trust an agent to run it unattended. - Own the integration surface as a product: which third-party tools our agents can reach, and what partners need to build against us. - Research customer problems through direct engagement with enterprise accounts, community feedback, and ecosystem analysis. - Bring just enough structure to move fast without losing rigor: strong problem statements, crisp requirements, clear execution. - Lead high-stakes customer conversations, including executive roadmap reviews, product demos, and enterprise stakeholder discussions. - Collaborate with PMM to shape licensing, packaging, and pricing decisions that support these surfaces' path to sustainable growth. What we're looking for - 5+ years of experience building software products end-to-end, with clear customer and business outcomes, at least three of them on developer-facing or infrastructure products. - You've built products where developers or platform and DevOps operators were the adopting users. Developer platforms, CI/CD, workflow and orchestration systems, API and integration platforms, infrastructure-as-code, or cloud infrastructure. - You've taken an agentic or LLM product to production, and can talk concretely about tool design, evaluations, and the ways your agents failed. - You've owned a platform, API, or extensibility surface that other people built on top of, and you understand the versioning, auth, and governance trade-offs that come with it. - Proven experience taking a product from zero to GA, setting direction where little exists yet. - Experience shipping into enterprise engineering organisations, where the adopter is a developer and the buyer is a platform or engineering leader. - A strong technical foundation that lets you collaborate credibly with engineers and make informed trade-offs. - Proven ability to operate independently and set the agenda with minimal oversight. - Willingness to travel occasionally for customer and industry engagements. Bonus tacos if you have - (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!) - Experience with automation or orchestration products such as CI systems, data pipelines, RPA, or agent frameworks. - Experience with pricing strategy, licensing models, onboarding funnels, or open-core business models. - Experience across both startup and larger-scale organizations. - Comfort representing Coder externally through talks, writing, or other public channels. ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: United Kingdom Workplace: Remote You'll make Coder easy to buy, deploy, integrate, and operate at the world's largest organizations. Partnering with another Product Manager in the Enterprise Experience theme, you'll help enterprises confidently adopt safe, secure, and governed development environments for humans and AI agents alike. You'll co-own the strategy for making Coder a first-class citizen in complex enterprise ecosystems. You'll work with engineering, security, sales, and customer-facing teams to turn enterprise challenges into product capabilities, removing barriers to adoption and ensuring Coder scales reliably in demanding environments. What you'll do - Co-own the Enterprise Experience charter with another Product Manager, sharing responsibility for strategy, prioritization, execution, and outcomes - Define and evolve the product strategy for enterprise readiness, turning customer needs and market expectations into a clear roadmap - Identify and eliminate technical, security, compliance, and operational barriers preventing enterprises from adopting Coder - Shape how Coder is deployed and operated at scale, including reference architectures, high availability, upgrades, and lifecycle management - Drive integrations with enterprise systems for identity, access management, application lifecycle management, reporting, and collaboration - Translate enterprise security, compliance, and governance requirements into product capabilities that enable safe development for humans and AI agents - Engage directly with enterprise customers and field teams, distinguishing recurring product needs from one-off requests - Lead strategic customer conversations, including executive roadmap reviews, technical evaluations, and enterprise deployment discussions What we're looking for - 5+ years building software products end-to-end with clear customer and business outcomes, including at least 3 years on 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 enterprise infrastructure concepts such as 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 the trade-offs between security, compatibility, and maintainability - Experience working with enterprise engineering organizations where developers are the users but platform engineering, IT, security, and leadership influence purchasing decisions - Strong technical foundation enabling credible collaboration with engineers and architects - Ability to operate independently, collaborate effectively with other PMs, and drive complex initiatives with minimal oversight - Willingness to travel occasionally for customer and industry engagements Bonus tacos if you have (Tacos? Ask us how we say thanks by giving tacos!) - Experience with security and compliance frameworks such as 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 industries such as financial services, healthcare, or government - Familiarity with air-gapped environments, sovereign AI, data residency, or self-hosted AI infrastructure - Experience with enterprise procurement, technical sales enablement, or complex customer evaluations ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Ищу продакта, которому интересно развивать технологические продукты для страхового рынка, разбираться в сложных бизнес-процессах и создавать решения, которыми пользуются сразу несколько компаний.

Ищу Senior Product менеджера. Нужно будет менедженить продуктовую команду мобильного приложения в 27 человек.

– 5+ лет в Product / Program Management в технологических компаниях. Чем предстоит заниматься:

Чем предстоит заниматься: Управлять развитием продукта в рамках уже определённой продуктовой стратегии. Основной фокус — операционное управление продуктом, проработка и реализация продуктовых инициатив, без формирования стратегии и определения долгосрочного вектора развития продукта ;

Responsibilities: — Own product strategy, roadmap and prioritisation together with the CTO and company leadership. — Conduct discovery with PSPs, merchants, payment operations and internal teams to identify problems and automation opportunities. — Translate complex payment workflows into clear requirements and acceptance criteria for cashiers, hosted payment pages, widgets, and operational tools. — Define user journeys, permissions, and workflows; collaborate with the product designer on prototypes and specifications. — Lead delivery with engineering, QA, design, and business teams, balancing platform scalability with client-specific and white-label needs. — Establish product standards for localisation, accessibility, multi-tenancy, security, and auditability across global markets, devices, and payment behaviors. — Identify and promote AI use cases in core workflows, including contextual assistance, anomaly detection, recommendations, and natural-language analytics. — Utilize analytics, usability testing, and customer feedback to measure outcomes and enhance the product post-launch. Requirements: — Proven significant experience as a Product Manager, Product Owner, or Product Lead in payment processing platforms such as payment orchestration, PSP, acquiring, or payment gateways. — Direct ownership of cashiers, hosted payment pages, checkout flows, payment widgets, or similar transaction interfaces with accountability for results. — Strong understanding of payment journeys, transaction statuses, routing, declines, payment methods, and merchant requirements. — Solid UX knowledge including user research, journeys, and information architecture, with proficiency in Figma or equivalent tools. — Technical fluency in APIs, frontend architecture, and software delivery to make informed trade-offs with engineers. — Experience with global, multi-tenant products and practical understanding of AI in product workflows. — Fluent English. — Nice to have: experience with merchant portals, backoffices, B2B SaaS, data-heavy dashboards, payment orchestration platforms, improving checkout or payment-widget conversion, and frontend or software engineering background including prototype building and frontend inspection. Benefits: — Competitive compensation. — Cozy office in Limassol with snacks, drinks, PS5, and rooftop kitchen view during probation, with flexible format afterward. — Sports and lunch compensation. — Team events, health insurance, relocation, and work permit support.

• 4+ года опыта в Product Management, преимущественно B2C. • Опыт growth и монетизации: activation, retention, conversion, LTV.

Location: Москва Мы – Страховой Брокер Сбербанка - Брокер №1. Наши пользователи – Брокеры, предоставляющие юридическим лицам и индивидуальным предпринимателям лучшие предложения по страхованию от топовых страховых компаний, с учетом потребностей и особенностей. Ищем Senor Product Owner для развития масштабной CRM-платформы, состоящей из 5 модулей над которыми работают сразу 3 команды. Обязанности \- Разработка стратегии продукта: исследование рынка, аналогичных продуктов и пользователей нашего продукта; \- Управление продуктом: формирование цели, виденья, задач и ключевых показателей эффективности продукта (KPI); \- Беспрерывный цикл улучшения продукта: сбор обратной связи от пользователей, анализ метрик эффективности и формирование списка задач на доработку; \- Управление бэклогом продукта: формирование, оценка и приоритезация бэклога; \- Управление полным циклом разработки продукта: проработка и описание требований к продукту совместно с IT-командой, декомпозиция требований на этапы разработки, контроль конечного результата и устранение препятствий; \- Презентация продукта: подготовка презентаций, проведение обучений и демонстраций продукта пользователям. Требования \- Опыт разработки цифровых продуктов не менее 4-х лет, которые включают в себя бизнес-процессы и клиентские пути; \- Опыт работы в качестве Product Owner не менее 3-х лет; \- Опыт управления командами разработки не менее 10 человек; \- Умение разрабатывать и описывать бизнес требования. Необходимо подтвердить артефактами с прошлых проектов; \- Понимание принципов BPMN процессов и опыт их построение. Необходимо подтвердить артефактами с прошлых проектов; \- Владение методологией гибкой разработки; \- Опыт использования методологии Scrum или Kanban, Базовое понимание ИТ технологий разработки, понимание построение архитектуры инфраструктуры, API и логики разработки; \- Понимание принципов Agile; \- Будет дополнительным преимуществом: опыт работы в Insuretech компании, в страховании, понимание страховых продуктов и потребностей пользователей; \- Инструментальное владение AI для анализа, генерации и автоматизации; \- Дополнительным преимуществом будет опыт работы в InsurTech-компаниях. Условия * Гибридный формат работы (современный офис в Москве, м. Кутузовская); * Льготные ипотечные условия кредитования; * Подписка Прайм с возможностью совместного использования на трёх близких; * ДМС с первого дня и скидки на страхование для близких; * Корпоративная пенсионная программа; * Детский отдых и подарки за счет Компании; * Обучение за счет Компании: онлайн курсы, неограниченный доступ к библиотеке и обучение на базе Корпоративного университета, тренинги, митапы и возможность получить новую квалификацию.

Задачи: — Организация международных запусков продуктов от стратегии до первых продаж. — Изучение рынков и адаптация продуктов под потребности локальных клиентов. — Объединение R&D, разработки, продуктовых команд и бизнес-развития для достижения общих целей. — Запуск пилотных проектов, работа с партнёрами и развитие коммерческого направления. — Управление бюджетами, метриками, сроками и рисками. Требования: — Опыт 5+ лет в Product / Program Management в технологических компаниях. — Опыт вывода технологических продуктов на зарубежные рынки. — Знание GTM, продуктовой локализации, аналитики и экономики запуска. — Навыки управления сложными кросс-функциональными проектами. — Владение английским языком на уровне C1 и готовность к командировкам. Будет плюсом: — Опыт работы с Индией / регионом APAC. — Опыт в HealthTech / MedTech / EdTech, работа с hardware и software. Условия: — Возможность работать с передовыми технологиями на стыке науки, медицины, AI и hardware. — Влияние на продукты и международную экспансию компании. — Высокая автономность и пространство для собственных решений. — Работа в сильной команде инженеров, учёных и продуктовых специалистов. Формат работы: полная занятость, офис или гибрид в Москве с командировками в Индию.

Задачи: — Возглавить команду из четырёх владельцев продуктов и весь продуктовый портфель; — Выстроить единый стандарт продуктовой работы и следить за его соблюдением; — Управлять сводным роудмапом портфеля, разрешать конфликты приоритетов и ресурсов между продуктами; — Отвечать за реалистичность сроков и обязательств перед заказчиками, вести план/факт и раннее оповещение о рисках; — Контролировать сертификационные треки ФСТЭК по всем продуктам и связку сертифицируемых версий с релизной политикой; — Вести анализ рынка информационной безопасности, выстраивать процессы пресейла и внедрения, договариваться с разработкой о предсказуемости поставки; — Строить сводную панель KPI портфеля и обеспечивать достоверность метрик. Требования: — Опыт от 7 лет в продуктовом менеджменте B2B-софта и от 3 лет руководства командой из 3+ PO/PM; — Опыт в enterprise B2B с длинным циклом сделки, on-prem-внедрениями и доработками под крупных заказчиков; — Экспертиза в информационной безопасности (IDM, PAM, MFA) и понимание регуляторики РФ (ФСТЭК, КИИ, 152-ФЗ); — Опыт выстраивания продуктовых процессов и управления по метрикам; — Техническая грамотность, включая понимание архитектуры и интеграций (AD, LDAP, SAML, OIDC, SCIM, Kerberos); — Опыт публичной защиты роудмапа перед заказчиками. Будет плюсом: — Опыт участия в сертификации ФСТЭК; — Знание AI и LLM-продуктов; — Бэкграунд архитектора или пресейла в информационной безопасности; — Английский язык на уровне не ниже B2. Условия: — Официальное трудоустройство в аккредитованной IT-компании; — Работа в комфортном офисе в Москва-Сити (башня Меркурий) или гибридный формат; — Прямое подчинение генеральному директору и руководство командой владельцев продуктов; — Современные продукты, технологии и стек; — Персональное предложение по зарплате, зависящее от навыков, знаний и опыта.

We are growing and looking for a full-time, remote Middle Product Manager to define product strategy, identify customer and business needs…. We are growing and looking for a full-time, remote Middle Product Manager to define product strategy, identify customer and business needs and transform them into clear, actionable product requirements.

Задачи: — Возглавить разработку продуктового портфеля всей категории, основываясь на анализе рынка, выбирать модели и обеспечивать их вывод на рынок с лучшим качеством, идеальной посадкой и в нужные сроки. — Формировать продуктовый план по линейкам и определять приоритеты запусков и доработок. — Анализировать рынок и находить товары, которые нужны покупателю, даже если их ещё нет на WB. — Выстроить единую систему превращения идеи в коммерчески успешную модель: контролировать технические задания для фабрик, итерации, фокус-группы и слушать отзывы. — Ставить задачи технологу, конструктору, фабрикам, поставщикам тканей и фурнитуры, контролировать сроки и себестоимость. — Желательно ездить на фабрики в Китай 3–6 раз в год. Цель компании на 2027 год: занять 40% рынка WB и OZON в комбинезонах, леггинсах, женском и мужском термобелье, с оборотом 6-8 млрд ₽.

Задачи: — Анализ рынка, конкурентов, поиск точек роста и новых направлений для развития образовательного института. — Управление экономикой, продажами и результатами института. — Формирование и развитие продуктового портфеля с акцентом на Product/Market Fit, включая запуск, упаковку и развитие продуктов. — Управление HADI-циклами по продуктам: проведение регулярных исследований аудитории, интервью, формирование и проверка гипотез, построение и контроль продуктовых метрик. — Взаимодействие с экспертами и образовательной командой, контроль качества продуктов. — Участие в формировании позиционирования, офферов и ценовой стратегии. Требования: — Опыт самостоятельного запуска и развития образовательных продуктов. — Опыт управления экономикой образовательного продукта. — Знание рынка дополнительного профессионального образования. — Опыт работы с экспертами, преподавателями и методистами. — Уверенное владение продуктовой разработкой. — Навыки работы с данными и принятия решений на их основе. — Самостоятельность, инициативность и ориентация на результат. Условия: — Ключевая продуктовая роль в быстрорастущей EdTech-компании. — Возможность развивать собственное образовательное направление с нуля и создавать свои продукты. — Высокая автономия и возможность влиять на решения. — Гибридный формат работы. — Достойный доход, обсуждаемый индивидуально, и профессиональный рост внутри компании.

Задачи: Вместе с CEO и основателем сформировать продуктовую стратегию на 1–3 года, определить сегменты, рынки и форматы развития. Управлять продуктовым портфелем, включая подписку, PRO-программы, Академию и новые продукты. Принимать решения о приоритетах развития, отвечать за ключевые метрики компании, включая удержание пользователей и выручку. Выстраивать модель монетизации, запускать выход на новые рынки и следить за трендами в wellness, health & beauty, longevity и онлайн-образовании. Регулярно общаться с пользователями, превращать инсайты в гипотезы, готовить обзоры рынка и трендов. Выстраивать дерево продуктовых метрик, вести когортный анализ, считать юнит-экономику, запускать дашборды и продуктовый цикл с A/B-тестами. Проходить путь пользователя от оплаты до третьего месяца, усиливать онбординг и работу с оттоком. Формировать дорожную карту платформы и мобильного приложения, управлять продуктовыми направлениями и структурой отдела, внедрять KPI/OKR и управленческий ритм. Требования: Опыт не менее 5 лет в продуктовом менеджменте, из них минимум 2 года на позиции Head of Product или CPO, желательно в подписной B2C-модели. Подтверждённый опыт роста retention и LTV в подписных продуктах. Навыки формирования продуктовой стратегии, анализа рынка и конкурентной среды. Опыт управления руководителями направлений и масштабирования продуктовой команды. Сильные аналитические навыки, включая SQL, когортный анализ и юнит-экономику. Опыт выстраивания процессов и KPI. Английский язык на уровне не ниже B2. Будет плюсом: Опыт в wellness, health, beauty или EdTech. Работа с международным продуктом и локализация. Опыт с мобильными приложениями и онбордингом в подписке. Внедрение AI-инструментов в продуктовый и разработческий цикл. Условия: Удалённая работа, полная занятость. Прямое подчинение CEO, еженедельное взаимодействие с основателем. Влияние на ключевые метрики компании с первых недель. Выплаты через EasyStaff. Уровень дохода обсуждается с финальным кандидатом. Как откликнуться: Пришлите резюме.

Location: US (EST); Paris; France | Remote; US Workplace: Remote ABOUT MORPHO Morpho is a leading Decentralized Finance (DeFi) lending protocol backed by a16z crypto, Paradigm, Ribbit Capital, Apollo, Vaneck, Coinbase Ventures, Variant and 50 others to build an open credit network giving anyone, anywhere, access to the best possible terms. Morpho is experiencing exponential adoption, with over billion in deposits on the network and used by institutional clients including Bitwise, Galaxy, and Anchorage Digital and the largest crypto exchanges, such as Coinbase, Binance, and Kraken. Now, Morpho is scaling its team of contributors to establish itself as the open credit network, not just of DeFi, but of the world.   WHY MORPHO EXISTS Everyone has the potential to build something great for the world. But fulfilling that ambition almost always requires more: people willing to trust you with their capital. Yet access to capital still depends on where you live, who you know, and which institutions are willing to trust you. Even when capital is available, it sits fragmented across disconnected networks and hidden behind intermediaries. The result is a system that fails most of the people it should serve. Borrowers overpay. Lenders earn less than they should. Many are shut out entirely, not because they are unworthy of credit, but because today's infrastructure was never built to connect them. Morpho exists to solve this. Full article here https://morpho.org/blog/why-morpho-exists/. LOCATION New York preferred. Remote is possible between GMT-5 and GMT+2.   ROLE Banks, asset managers and token issuers are bringing stocks, funds and other real-world assets onchain. Those assets become far more useful once their holders can borrow against them and lend them out. Midnight, Morpho's fixed-rate, fixed-term lending protocol, gives institutions the predictable terms they need to do that.   This role owns the products that make Morpho the credit layer for institutional assets, spanning tokenized equities and funds as collateral, loans backed by assets held with a qualified custodian, and the onchain equivalents of repo and securities lending.   Close partnership with institutions is central to this role. You will develop a detailed understanding of how they operate across trading, custody and compliance, and translate their requirements into products that scale across many partners.   RESPONSIBILITIES   - Own the vision, strategy and roadmap for institutional credit on Morpho, end to end. - Act as Morpho's domain expert on the institutional market. Go deep with issuers, asset managers, banks, custodians and brokers on how they finance and lend assets, represent Morpho with them, and turn conflicting input into precise problem statements and requirements. - Decide which issuers and asset types come first, which wait and which Morpho declines, and make the trade-offs explicit. - Judge which partner-specific requests become standard capabilities many institutions can use, and make the build or partner call for each. - Work as a peer to the protocol team on design trade-offs, bringing legal and risk in early on custody, transfer restrictions, valuation and liquidation for each asset type. - Drive each initiative from problem definition through launch and adoption, across teams you do not manage. Define success before launch, measured in active loans.   WHAT SUCCESS LOOKS LIKE   First 30 days You understand Morpho's lending stack and what Midnight makes possible. You have met protocol, markets, vaults, solutions, business development and legal, and joined live conversations with issuers and asset managers. You have written down where the issuer product stands and what blocks its first launch.   First 3 months The first issuers are onboarding to a defined product with standard terms. You have a ranked view of the next two institutional loan types, backed by partner evidence, with named partners in conversation for each.   First 6 months Issuers are live and holders of their assets are borrowing. A second institutional loan type has a working proof of concept with real counterparties. New institutions onboard through a repeatable process, not a custom project.   MUST HAVE EXPERIENCE & SKILLS - Shipped products for institutional users in capital markets or securities finance: repo, securities lending, prime brokerage, collateral management, custody or tokenized assets. - A track record of taking a product from zero to one, where you found the opportunity and carried it through launch. - Working knowledge of how institutions hold, finance and lend assets, and of the regulatory and operational constraints that shape those products. - Comfortable leading conversations with senior people at banks, asset managers and issuers, and turning them into clear requirements. - Able to deliver through influence across teams, without a dedicated engineering team. - Clear writing and speaking for technical and non-technical audiences. - Creates clarity and drives decisions in ambiguous situations, and acts without waiting to be told. - Team-first mindset, low ego.   NICE TO HAVE - Experience with onchain lending, tokenization or digital asset custody. - Time on both sides: at a traditional financial institution and at a technology company. - Has been a founder, or owned a new product line end to end. PERKS & BENEFITS We design benefits around deep work and growth, so you can do the best work of your career. Expect fair, top-tier compensation, real flexibility, time together in Paris, great health coverage, and support to keep learning.   EQUAL OPPORTUNITY We welcome applicants from all backgrounds and hire based on talent, potential, and values alignment.