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• Формировать видение продукта, ценностное предложение и УТП; • Управлять бэклогом, приоритетами и дорожной картой;
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• Формировать видение продукта, ценностное предложение и УТП; • Управлять бэклогом, приоритетами и дорожной картой;
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— отвечать за удержание и доход: retention D7/D30, конверсию в оплату, отток платящих. — искать, где теряются пользователи: воронка, когорты, записи сессий, кастдевы.
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Location: AU: Sydney (45 Clarence St); AU: Melbourne: (260 Burwood Rd); NZ: Auckland: Xero 4 (96 St Georges Bay Rd, Level 2 & 3); NZ: Wellington: Xero One (19-23 Taranaki St) Workplace: Hybrid The role You will lead the design and implementation of large-scale, production-grade distributed systems that power AI features for millions of daily users. You'll own the architecture decisions that keep our systems flexible, cost-effective, and robust, direct strategy for distributed systems, and manage technical debt across the AI Products estate. Beyond architecture, your impact lies in lifting the technical capability of the entire AI Products team. You will champion engineering excellence, mentor junior engineers, and collaborate across Xero to enhance data usability - applying modern AI research, including Large Language Models, only once it can be engineered into reliable, production-grade systems. The team You will join the AI Products group, a diverse team of scientists, engineers, product managers, and analysts within our broader Data & Science division. As a Machine Learning Engineer, you'll partner closely with Applied Scientists to build the interfaces and harnesses that safely and reliably transition models from research into production. Together, this collaborative team reduces toil and delivers beautiful, data-driven insights for small businesses. The team is currently working on - Production ML and AI engineering: Building and operating the platforms, services and practices that support traditional ML models, generative AI and agentic systems in production. - JAX (Just Ask Xero): Powering Xero's conversational GenAI assistant and evolving the underlying capabilities to support increasingly sophisticated, context-aware and agentic experiences. - Intelligent financial workflows: Developing capabilities such as Automated Bank Reconciliation and smart document capture, using ML and AI to match transactions, extract information from bills and receipts, and automate complex tasks. - XeroForce: Building the platform for AI-powered workflows, enabling agents to plan and execute complex tasks across Xero’s products and supporting reliable, reusable agentic experiences at scale. - End-to-end AI product experiences: Integrating AI into customer-facing experiences and product workflows, alongside the backend services, orchestration and infrastructure that make them work. Where and how you can work Xero offers a flexible hybrid working model designed to blend the collaboration of office life with the autonomy of remote work. You will have access to our modern office spaces, with expectations around office days and collaborative 'boost days' aligned to help your team connect and ship great code effectively. Here are some of the things we are looking for - 5+ years building and operating production Python (or equivalent language) services at scale - this is a software engineering role first; strong system design and coding proficiency are non-negotiable - A track record of owning services or pipelines in production, including operational/on-call responsibility, incident response, and managing technical debt over time - Deep understanding of distributed processing principles (Spark, Dask, or similar) alongside strong SQL capabilities - Demonstrated experience integrating ML models or LLM-based features into production systems - you don't need a research background, but you should be comfortable working alongside Applied Scientists to productionize their work - Familiarity with ML tooling such as MLFlow, TensorFlow, or PyTorch, and data orchestration tools like Airflow or Prefect, is valued but production engineering depth matters more than research exposure - Nice to have: prior experience applying or fine-tuning LLMs in a product context, though this is not a substitute for the core software engineering bar above Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
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Lambda is looking for a Staff Product Manager Compute to define, launch, price, and improve cloud compute products.
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Lambda is looking for a Staff Product Manager Storage and Networking to define, launch, price, and improve cloud data and connectivity products.
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Plaid is looking for a Senior Product Recruiter to lead full-cycle recruiting for product management roles and guide hiring decisions.
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Lambda is looking for a Principal Product Manager Nvidia Technology Partnerships to guide NVIDIA technology adoption, lead joint product programs, and launch products.
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Location: Russia You Are passionate about technology, wake up every morning to experiment, learn and develop new solutions! About Us At DBSync we provide the opportunity to use technology that creates innovative and next generation data integration products which helps our employees to cultivate their creativity and sense of belonging. DBSync is a leading provider for data integration and Data warehousing services for both cloud/SAAS-based-on-demand applications. We were incubated by Salesforce.com (as a part of Avankia), before getting spinned off as a separate company. DBSync provides data integration as a SAAS-based, Standalone or hosted integration at a competitive price with a plethora of benefits for business users. Our mission is to provide a strong foundation for businesses in solving complex problems and automating their workflows while acting as a pillar of support for all their data integrations needs. At DBSync we encourage innovation and creativity and our team is diverse comprising of a nice mix of cultural blends. We are a family where each talent is recognised and honed for the best of the individual and the company as a whole. We maintain a very professional, learn and excel vision with a hint of a start-up-like environment making each individual feel important and responsible with an equal opportunity to grow to the sky’s limit! If you have a spirit of enthusiasm to grow beyond horizons, a determination to work hard, confidence to achieve success and influence future visions and products and be a successful part of the next gen trend, DBSync is the place for you! Our Value System 1. We genuinely care 2. We do not waste time on manual or mundane task 3. We have a fun environment 4. We own it 5. We are experts on what we do 6. We win together DBSync has been: We have been rated 4.7 / 5 on G2. We have got around 125 reviews in 2023. Based on the reviews G2 has awarded DBSync following badges. Best Relationship– Winter 2024 Leader Americas Winter 2024 Best Results – Winter 2024 Best Usability – Winter 2024 About the Role: As a Product Marketer for DBSync, you will play a pivotal role in crafting and executing marketing strategies to drive the acquisition, adoption and success of our software products. This role requires a good understanding of data operations and management practices, and familiarity with SaaS apps, databases and data clouds. You will be responsible for creating compelling messaging and campaigns that resonate with our target audience of technical professionals. Job Responsibilities: Craft and deliver product messaging focused on data replication and Change Data Capture (CDC) solutions through various channels, including webinars, videos, and educational content. Comfortably present and host webinars and videos to educate customers on our product capabilities and benefits. Analyze market trends, customer behavior, and competitor offerings to inform marketing strategies. Collaborate with cross-functional teams to create go-to-market plans for new product launches, feature updates, and demand generation. Define target customer segments, value propositions, and distribution channels. Create a wide range of marketing collateral, including product demos, data sheets, whitepapers, blog posts, and videos. Develop presentations, and training materials to empower the sales team with product knowledge and value propositions. Plan and execute marketing campaigns that generate leads and drive customer engagement. Use data and analytics to track campaign performance, ROI, and other relevant metrics. Support account-based marketing (ABM) initiatives and foster growth through customer advocacy. Skills and Qualifications: Bachelor’s degree in computer science, engineering, or related field; MBA with specialization Overall professional experience: 3–5 years, with a strong preference for backgrounds in Strategy, Marketing, or Technology. Min. 2-3 years of experience working in SaaS companies Good technical acumen with good communication skills General understanding of SaaS apps, cloud platforms (Snowflake, Azure, AWS, Redshift), and databases (MySQL, SQL Server, PostGreSQL) Experience working with Salesforce and D365+ is good to have Prior experience in technology consulting or enterprise technology marketing is highly desirable. Exceptional written and verbal communication skills, with the ability to distill technical concepts into clear and engaging messaging. Strong technical aptitude and understanding of DataOps, data management practices, databases, and data clouds. Experience in hosting webinars, creating videos, and delivering technical presentations. Proficiency in marketing tools, analytics platforms, and CRM systems. Strong project management skills and ability to collaborate across cross-functional teams. Job Location: Eastern Europe (Remote) Work Shift: U.S Shift (8:00 AM CST to 5:00 PM CST)
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Product Manager будет развивать инфраструктурное ядро поиска и платформы пользовательских данных (CDP) в горизонтали Search & Recommendations. Предстоит формировать стратегию платформы, создавая фундамент для персонализации и рекомендаций во всех продуктах.
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Это вакансия для опытных продуктовых аналитиков, которым интересно поработать в технически сложном продукте с большой аудиторией.
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Ищем сильного продуктового аналитика на международный кроссплатформенный B2C-продукт по подписке. Ваша роль - не просто строить дашборды, а подвергать гипотезы сомнению, приносить инсайты на основе данных и напрямую влиять на роадмап вместе с CEO и CMO.
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Сейчас мы ищем в команду сильного Senior Product Analyst / Lead Product Analyst, который возьмёт на себя продуктовые зоны — онбординг, матчинг и монетизацию — и будет отвечать за них end-to-end: от поиска точек роста и формирования инициатив до дизайна экспериментов, оценки эффекта и принятия продуктовых решений.
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Кто нам нужен: самостоятельный аналитик, который умеет не только работать с данными, но и находить точки роста, автоматизировать процессы и создавать инструменты, которыми команда действительно пользуется.
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Location: Dubai; London, England, United Kingdom Workplace: hybrid We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team. We are looking for a Senior Product Owner to build how Capital.com detects and prevents fraud and money laundering as we expand into new financial products and markets. You will own the roadmap for fraud prevention and transaction monitoring. That covers the rules, models and systems that flag risky activity, and the tools teams use to review it. You’ll use AI to clear routine alerts automatically, so people can focus on the cases that need a person. You’ll work closely with Compliance, Operations, Data, Engineering and the Financial Investigation Unit. Because this is a new capability, you’ll shape it from the ground up and, over time, build the team that runs it. Responsibilities: Own and prioritize the product roadmap for fraud prevention and transaction monitoring within the agreed financial crime strategy. Translate fraud threats, money-laundering risk scenarios and control requirements into clear product requirements, detection logic and acceptance criteria. Lead the development of rules, models and preventive controls with Engineering, Data, Operations and Compliance. Apply AI and machine learning where they demonstrably improve detection, prevention and case handling. Establish reliable, timely data inputs for detection. Identify gaps in data quality, availability or coverage and prioritise their resolution. Evaluate proposed controls using historical data and realistic test scenarios. Assess detection coverage, missed activity, false positives and the impact on legitimate customers. Deliver changes through the agreed approval process, with clear testing, staged rollout, monitoring and rollback plans. Measure performance after release, including fraud losses, detection effectiveness and customer friction. Use the findings to improve controls without treating fewer alerts as proof of success. Adapt fraud prevention and transaction monitoring capabilities to emerging threats, new products, markets and transaction types. Make readiness requirements and unresolved coverage gaps visible before launch. Coordinate delivery across product teams and control owners, making priorities, dependencies and trade-offs clear and escalating decisions that require accountable leadership. Requirements: 5+ years in product ownership or product management, including end-to-end ownership of a product roadmap at a senior level. Strong financial crime experience covering both fraud and money laundering, gained in fintech, banking, payments or another regulated business. Hands-on experience building detection capabilities such as rules, models or transaction monitoring systems. Experience using AI or automation to reduce manual alert review, for example automated customer outreach, while keeping people on complex cases. Strong data skills: you understand where data comes from and how reliable it is, and you can evaluate detection using historical data, coverage and false-positive analysis. Experience releasing changes to live controls safely, with testing, staged rollout, monitoring and rollback. Excellent stakeholder management, including working with Compliance and control owners through approval processes. Experience building or growing a product team is desirable. What you will get in return: Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated. Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry. Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team. Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks! Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits! Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community. Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.
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Location: Dubai; London, England, United Kingdom Workplace: hybrid We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team. We are looking for a Senior Product Owner to build the products behind our new Financial Investigation Unit as we expand into new financial products and markets. You will own the roadmap for investigation case management and customer offboarding. You’ll use AI to give investigators a complete picture of each case faster, and turn approved decisions into workflows that run reliably. You’ll work closely with investigators, Compliance, Operations and Engineering. Because this is a new capability, you’ll shape it from the ground up and, over time, build the team that runs it. Responsibilities: Own and prioritise the product roadmap for financial investigation case management and customer offboarding, focusing on investigation quality, timely decisions and reliable execution. Translate investigator needs into clear product requirements and acceptance criteria. Design workflows that make case ownership, status, next actions and escalation routes clear. Lead the development of AI and automation to assemble evidence, support analysis and reduce manual investigation work. Ensure outputs are traceable and subject to appropriate human review and approval. Bring relevant information together across systems, with clear sources and appropriate access controls. Enable complete, auditable case records that preserve evidence and reasoning through reviews and handovers. Translate approved offboarding procedures into reliable workflows with operational and control owners. Define approvals, dependencies, sequencing and exception handling, with clear confirmation that required actions have been completed. Deliver changes with Engineering through testing, staged rollout and monitoring. Test interrupted processes, duplicate requests and unavailable dependencies, with recovery routes and records of completed and outstanding actions. Measure investigation quality, case rework, avoidable delays and offboarding failures alongside user feedback. Use the findings to improve performance without treating faster case closure as proof of quality. Prepare Operations and Compliance for product changes, support adoption and resolve issues after launch. Feed quality reviews, audit findings and recurring operational problems into the roadmap. Requirements: 5+ years in product ownership or product management, including end-to-end ownership of a product roadmap at a senior level. Strong financial crime experience across investigations, AML, fraud or customer offboarding, gained in fintech, banking or another regulated business. A track record of building workflow or case-management products for operational users. Experience shipping AI or automation that cut manual work while keeping people in charge of key decisions. Ability to write precise requirements and work closely with engineers on complex, failure-tolerant workflows. Strong analytical skills, with experience defining metrics and using data to set priorities. Excellent stakeholder management, including working with Compliance and control owners on regulatory requirements. Experience building or growing a product team is desirable. What you will get in return: Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated. Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry. Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team. Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks! Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits! Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community. Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.
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• Опыт построения CRM или внутренних бизнес-систем с нуля (in-house). • Сильное системное мышление: архитектура, бизнес-процессы, структуры данных и интеграции.
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-Формирование гипотез и запуск А/B тестов. -Поиск точек роста монетарных метрик и составление плана по их увеличению.
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Location: Almaty, Kazakhstan Workplace: OnSite Almaty, Kazakhstan · Trust & Safety Engineering Why this role exists Higgsfield builds tools for AI creators: creative workflows, collaborative projects in Cinema Studio, and a community for sharing work. We need a backend engineer who combines deep database and architecture expertise with the initiative to own product outcomes, from the first idea to production. What you'll actually do - Build AI creation workflows, Cinema Studio collaboration, and community features: sharing, discovery, contests, profiles, and follows. - Own features and bugs through release and follow-up. Define API contracts and coordinate frontend work to deliver the complete feature. - Deliver responsive UX: live progress, timely updates, and clear failure recovery, even when it takes more engineering effort. - Remove database and service bottlenecks under high traffic; improve correctness, latency, and reliability. - Define success metrics, build dashboards and alerts, and track adoption and system health after launch. Must-haves 1. Deep database expertise: data modeling, indexes, query plans, partitioning, transactions, and locking. You diagnose production bottlenecks and understand the trade-offs behind your fixes. 2. Strong architecture judgment: service boundaries, APIs, asynchronous workflows, caching, and failure handling. Hands-on Kubernetes and CI/CD experience, from design and testing to deployment and debugging. 3. A track record of shipping and operating backend systems across multiple projects, including high-traffic workloads. You can explain your decisions and measurable results. 4. API security: authentication, object-level authorization, and tenant isolation. You prevent IDOR in reads and writes, including resource IDs in request bodies, and test access across users and workspaces. 5. You've built or studied social networks and collaborative tools, and can explain design trade-offs in feeds, follow graphs, notifications, sharing permissions, real-time sync, and concurrent edits. 6. High agency and ownership: you find worthwhile problems, propose improvements, remove blockers, and follow through without waiting for assignments. 7. Low ego: you welcome direct feedback, admit mistakes, change your mind with evidence, and help wherever the team needs you. 8. Ambition and optimism: hard goals and rapid growth energize you. You challenge assumptions constructively and commit to making ambitious ideas work. 9. Energy for an intense pace, shifting priorities, and urgent launches or production issues that can require work outside regular hours. Our tech stack - Languages and frameworks: Python (FastAPI), Go (Gin), and TypeScript (React/Next.js on the frontend). - Data: PostgreSQL and Redis; analytical databases such as BigQuery or ClickHouse. - Messaging: Kafka, Amazon SQS, and RabbitMQ; event-driven services and asynchronous workers. - AWS: S3, DynamoDB, ECR, and Secrets Manager. - Infrastructure: Docker, Kubernetes on Amazon EKS, Helm, Argo CD, and GitHub Actions. - Observability: Prometheus, Grafana, OpenTelemetry, and Sentry. Interview process 1. Recruiter screen: role expectations, logistics, and fit. 2. Technical interview: a difficult system you shipped, what you personally decided and built, and how your work made the team more capable without leaving it dependent on you. 3. Additional technical interview, if needed: a deeper discussion of technical skills and open questions. 4. Product fit interview: turn a user problem into a small first release, decide what to leave out, and explain how feedback would change the solution. 5. Offer. What we offer Competitive base in USD, equity, relocation support, and ownership of product experiences that directly shape how people create with AI.