Responsibilities:
— Own the technical backlog including enablers, architectural runway items, non-functional requirements, technical debt, platform and API features.
— Validate and compose the backlog for each team served; keep it refined and ready for upcoming sprints.
— Prepare sprints including Definition of Ready, sprint scope proposal, and sprint goal; validate scope against capacity and dependencies.
— Manage delivery of the backlog by tracking plan versus actual for backlog, sprints, and releases; identify deviations early and coordinate corrective actions.
— Clarify technical questions during refinement and sprints; route design questions to the architect.
— Communicate and align architecture decisions with the architect; initiate Architecture Decision Records (ADRs) for approval.
— Participate in integration specifications including requirements input, clarification, review, and sign-off.
— Translate architecture decisions and ADRs into backlog items with measurable acceptance criteria.
— Act as product owner for APIs consumed by other teams, managing API roadmap, versioning, deprecation policy, and consumer onboarding.
— Balance business and technical capacity with the Product Owner; justify technical items by risk, cost of delay, and quality attributes.
— Collect non-functional requirements (NFR) input from business constraints and SLAs; convert architect's target values into backlog items.
— Track and prioritize technical debt based on impact on delivery speed, incidents, and compliance.
— Define acceptance criteria for technical stories and enablers and accept them.
— Prepare enablers for Program Increment (PI) Planning including decomposition, sizing input, and dependency mapping.
— Coordinate cross-team technical dependencies with Release Train Engineer (RTE) and other teams.
— Align architectural runway with Solution Architect and enterprise architecture governance.
— Plan security, CI/CD, and observability work into the backlog with InfoSec and DevOps/platform teams.
— Maintain backlog, decisions, and specifications in Jira and Confluence.
— Measure technical health using flow metrics, defect trends, technical debt ratio, and Service Level Objective (SLO) compliance.
— Communicate technical priorities and trade-offs to business and technical stakeholders.
— Operate within SAFe on a PI planning horizon.
— Contribute reusable artefacts such as enabler templates, NFR checklists, and API lifecycle guidelines.
— Mentor Product Owners and analysts on technical backlog practices.
Requirements:
— 5+ years in software engineering, systems analysis, or architecture, including 2+ years as Technical Product Owner or Product Owner of platform, API, or integration products.
— Senior level with client-facing skills.
— Experience in banking or financial services domain is a strong plus.
— Hands-on understanding of distributed systems including REST API design and versioning, message brokers, and event-driven integration.
— Proficiency in backlog management including enablers and technical stories with acceptance criteria, prioritization techniques such as WSJF and cost of delay.
— Delivery management skills including sprint preparation, release planning, and plan vs. actual tracking in Jira.
— Ability to read and challenge solution architecture including monolith, modular monolith, and microservices.
— Knowledge of non-functional requirements, quality attributes, and SLO/SLA definitions.
— Technical debt management practices.
— Experience with Agile and SAFe frameworks and backlog management in Jira and Confluence.
— English proficiency at B2+ level.
Preferred Qualifications:
— Finance or banking business domain experience, integrations with core banking systems.
— SAFe certification.
— Familiarity with OpenAPI, API management platforms, and contract testing.
— Awareness of Kubernetes, Kafka or RabbitMQ, and CI/CD pipelines.
— Experience with regulated domains and compliance such as GDPR and PCI DSS.
— Ability to conduct case-based sessions to decompose business initiatives into enablers and technical stories with acceptance criteria.
— Skills in preparing clarification questions on technical scope for clients and driving them to closure.
— Supporting Solution Architects and engineers during estimation and optimization sessions.
— Participation in discovery sessions and workshops with client stakeholders.
Benefits:
— Opportunities for professional self-realization and growth.
— Friendly team environment.
— 25 days of paid vacation.
— Medical insurance and full payment for sick leave.
— Professional training and certification at company expense.
— Foreign language courses and other corporate programs.
— Various corporate events.
— Bonuses for weddings or childbirth.
— Possibility of remote work from any location.
УдалённоseniorГеография найма не уточнена, офис: Minsk
Задачи:
— Разработка, обучение и оптимизация моделей машинного обучения для решения прикладных бизнес-задач;
— Разработка решений на базе LLM и VLM, включая мультимодальные системы обработки текста и изображений;
— Проектирование и реализация RAG-систем, AI-агентов и интеллектуальных сервисов на основе LLM;
— Fine-tuning и адаптация предобученных моделей под специализированные задачи;
— Разработка решений с использованием классических ML алгоритмов;
— Сбор, подготовка и обработка данных, формирование датасетов для обучения и тестирования моделей;
— Проведение ML-экспериментов, оценка качества моделей и поиск способов повышения их эффективности;
— Оптимизация inference моделей по скорости, потреблению ресурсов и стоимости эксплуатации;
— Внедрение ML-моделей в production, разработка inference-сервисов и интеграция с существующими системами;
— Мониторинг, поддержка и улучшение качества работающих ML-решений;
— Исследование новых моделей, технологий и подходов в области AI/ML, оценка возможностей их практического применения;
— Взаимодействие с командами разработки и продукта для проработки и реализации ML-задач.
Требования:
— Опыт коммерческой разработки ML-решений от 3 лет, включая внедрение моделей в production;
— Уверенное владение Python, PyTorch;
— Хорошее знание классического ML: алгоритмы, feature engineering, обучение и оценка моделей (CatBoost, XGBoost, LightGBM);
— Понимание архитектуры и практический опыт работы с LLM (Qwen, Deepseek или аналоги);
— Опыт разработки LLM-решений: prompt engineering, RAG, embeddings, vector databases, function calling;
— Опыт fine-tuning моделей (LoRA, QLoRA, PEFT);
— Опыт работы с VLM, решения мультимодальных задач на стыке CV и NLP;
— Опыт подготовки датасетов, проведения ML-экспериментов и оценки качества моделей;
— Навыки разработки и внедрения ML-сервисов: API, Docker, Git, SQL;
— Понимание MLOps, оптимизации inference и мониторинга моделей;
— Способность самостоятельно решать ML-задачи от исследования до production, аргументировать технические решения и работать в команде.
Условия:
— Официальное трудоустройство по ТК РФ;
— Гибридный формат работы;
— Комфортный офис в двух минутах от метро Баррикадная;
— Софинансирование ДМС;
— Скидки и бонусы от партнеров: спорт, обучение, путешествия;
— Программы обучения по работе с Искусственным интеллектом для всех сотрудников компании;
— Возможность учиться у профессионалов отрасли и влиять на значимые проекты для города.
Location: Warsaw
Workplace: onsite
Ajax Systems is an international technology company and the largest manufacturer of security systems in Europe.
We are looking for a C++ Tech Lead (VMS, Warsaw) to join our Systems Department, where they will work on developing and improving embedded software for Ajax devices.
The Systems Department is responsible for creating and developing the Ajax software ecosystem. The team develops and maintains OS Malevich and the Video Management System, builds scalable cloud infrastructure, and creates client applications for various platforms, ensuring seamless integration and operation of all system components.
The department works with Java, Kotlin, Swift, C, C++, and Python. It brings together embedded, cloud, mobile, and desktop engineers who ensure the operation of a unified digital platform.
Requirements:
5+ years of experience with C++ (C++11/C++14);
At least 1 year of experience as a Team Lead;
Strong knowledge of Linux systems, Bash, and an understanding of Linux kernel fundamentals;
Experience working with embedded systems and resource-constrained environments;
Solid understanding of processes, threads, and asynchronous programming;
Strong experience with Boost, particularly Boost.Asio;
Ability to write unit and integration tests (experience with TDD practices is a plus);
Proficiency with Git, CMake, and GDB;
Hands-on experience designing and developing large-scale systems.
Nice to Have:
Experience with Z-Wave, Zigbee, or LoRa;
Experience with Python;
Experience with gRPC;
Experience developing drivers;
Practical experience using and integrating relevant open-source technologies.
Responsibilities:
Maintain high engineering standards, including testing practices and continuous delivery (CD);
Collaborate with the team to continue developing a new product that combines video cameras with traditional security sensors to provide comprehensive security solutions;
Improve engineering practices and enhance code quality;
Participate in discussions about new product features and take responsibility for the product's development as part of the overall system.
What We Offer:
The opportunity to propose and implement your own ideas that directly impact the product and its mass production;
A position in a rapidly growing company with a motivated and highly professional team;
Competitive salary;
Medical insurance;
Corporate English language classes;
The opportunity to participate in an internal beta-testing program for Ajax security systems;
Discounts from partner companies;
Discounts on Ajax products.
About Ajax Systems
Ajax Systems is a Ukrainian success story that has grown into a global product company.Ajax devices are trusted by more than 4.5 million end users and 330,000 PRO users across over 180 countries.The company provides comprehensive solutions for protecting residential and commercial properties of various sizes. Today, the Ajax product portfolio includes 280 devices covering intrusion protection, video surveillance, fire safety, comfort, and automation.
Задачи:
— Выполнение полного цикла системного анализа модулей платформы.
— Формализация бизнес-требований.
— Проектирование логики работы модулей.
— Описание интеграций и потоков данных.
Требования:
— Опыт работы в бизнесе в сфере ритейла, производства на роли бизнес/системного аналитика.
— Опыт работы в консалтинге в сфере управления цепями поставки, ритейла на роли бизнес/системного аналитика.
— Знание стека: Knowledge Space, Optimacros, Novo BI, Jume, Reshape.
— Опыт работы системным аналитиком от 5 лет.
— Желателен совмещённый опыт системного и бизнес-аналитика.
— Опыт работы с аналитическими платформами, корпоративными системами или системами планирования.
— Опыт участия в сложных проектах с большим количеством данных и интеграций.
— Системный анализ требований (BRD, FRD, SRS, Use Cases, User Stories).
— Моделирование бизнес-процессов (UML, AS-IS / TO-BE).
— Проектирование и описание данных (ER-диаграммы, логические модели).
— Работа с реляционными и нереляционными базами данных на уровне анализа данных и требований.
— Работа с интеграциями: REST API, форматы обмена, спецификации OpenAPI; понимание событийных интеграций.
— Декомпозиция сложных бизнес-задач до технических требований.
— Навыки чтения и написания аналитических SQL-запросов.
— Высшее образование (информационные технологии, математика, экономика, прикладные науки).
Будет плюсом:
— Опыт в Supply Chain, Demand Planning, Forecasting, ERP, APS.
— Опыт работы в продуктовых командах (Agile, Scrum).
— Понимание процессов Supply Chain Planning, S&OP, Demand Sensing (для модуля Demand Planning).
— Понимание задач линейной и смешанно-целочисленной оптимизации, LP, MILP (для модуля Supply Network Planning).
— Опыт описания требований к ML и аналитическим компонентам (feature engineering, качество данных, метрики моделей).
— Базовое понимание методов Operations Research для диалога с разработчиками алгоритмов.
— Навыки построения экономических обоснований (ROI, TCO, cost-to-serve).
— Базовые навыки анализа данных для валидации гипотез.
— Использование инструментов моделирования: Draw.io, PlantUml, Miro или аналоги.
— Опыт работы с Яндекс.Трекер Axenix, Яндекс.Вики Axenix (или Jira, Confluence).
— Базовое понимание архитектуры web-приложений, backend-сервисов и ML-конвейеров.
— Владение инструментами бизнес-анализа: gap-анализ, моделирование бизнес-объектов.
— Наличие сертификаций по системному или бизнес-анализу (IIBA CBAP, CCBA, курсы по BABOK).
— Обучение в области Supply Chain, Demand Planning, Operations Research.
Location: Hamburg
Workplace: Hybrid
adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually.
Architecting Intelligence to Optimize 200M+ Daily Decisions
As the intelligence core of our engineering organization, our Data Science team doesn't just deploy models, we engineer the fundamental decision engine that powers our platform. At a scale of 770 million users and 100,000+ predictions per second, we are solving a multi-objective optimization problem that balances user incentives, advertiser ROI, and long-term platform health in real time.
Our architecture is built on a 1PB+ behavioral data lake, providing the high-fidelity input necessary to train deep learning models that predict individual user engagement with precision. We aren't just optimizing clicks, we are dynamically calculating optimal reward structures to sustain a global value exchange.
Engineered for performance, our stack leverages PyTorch for model training, NVIDIA Triton to achieve sub-100ms inference. We own the full ML lifecycle from high-level research and feature engineering to deployment and A/B experimentation. Here, you will find the autonomy, the data depth, and the massive scale required to solve the most complex optimization challenges in the adtech ecosystem.
The data infrastructure behind this runs at real scale: 2TB ingested in real time every day, 100+ Airflow jobs and data pipelines, and ML models handling p99 latency of 100ms across 100,000+ predictions per second.
Your Mission & Who We Are Looking For
- Quantitative Academic Foundation: You are currently pursuing a Bachelor’s or Master’s in Data Science, Computer Science, Mathematics, Statistics, or a related quantitative field. You are available to contribute up to 20 hours per week during the semester.
- ML Model Prototyping: You will support the research and evaluation of deep learning and machine learning models that predict user behavior across our 770 million user base. We are looking for solid Python skills and hands-on familiarity with PyTorch, TensorFlow, scikit-learn, and gradient boosting libraries (LightGBM/CatBoost/XGBoost) to prototype new algorithms.
- Large-Scale Data Exploration: Operating on our 1PB+ behavioral data lake, you will extract patterns from terabytes of data to engineer high-fidelity features for our training pipelines. This requires strong SQL fundamentals, an interest in distributed query engines (AWS Athena, Trino, Spark), and fluency with pandas, polars, and NumPy.
- Experimentation & Validation: You will collaborate closely with our data scientists to test your fit-for-purpose solutions against our multi-objective optimization problem. We need someone who can rigorously evaluate models through offline experiments and A/B tests before they hit our 100,000+ predictions-per-second production environment.
- Plus: ML Infrastructure Exposure: Any prior exposure to the systems that run our real-time scale—AWS, workflow orchestration (Airflow), containerization (Docker), or basic model deployment workflows—will accelerate your impact.
What’s in It for You?
At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day.
- Go Big. Own projects with impact on 770M users and push adtech boundaries.
- Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum.
- Be Direct. Solve problems openly and collaborate across teams.
- Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other.
- Have Fun. Celebrate wins, enjoy daily victories, and bring your energy.
Skip writing cover letters. Tell us about your most passionate personal project, your desired salary, and your earliest possible start date. We are looking forward to your application!
We welcome applications from people who will contribute to the diversity of our Company.
We welcome applications from people who will contribute to the diversity of our company.
Location: Argentina; Brazil
Workplace: Remote
We're looking for an experienced and strategic Senior Data Analyst to join Uberall's product team. In this role, you’ll be at the heart of product decision-making, working closely with product managers on how we measure each product, whether launches work, and what the data tells us. Your skills in distilling complex data into meaningful narratives will be instrumental in supporting our growth and product innovation.
If you’re passionate about using data to tell compelling stories, enjoy structuring insights that influence product decisions, and thrive in a collaborative environment, this could be the perfect role for you. Join us in creating exceptional experiences for our clients and helping shape the future of our products. Apply today to make a tangible impact with your data expertise!
Your Responsibilities:
- Build and maintain well-documented product data models in dbt, working within the BI team's shared standards and review process.
- Act as the analytics point of contact for the Product data domain, working with domain owners and data partners to keep metric definitions and standards consistent across the company.
- Build and maintain dashboards and reports that give product managers a clear, self-serve view of how their products are performing.
- Define and monitor key product performance metrics with stakeholders, focusing on areas such as acquisition, retention, monetization, and adoption to drive product and business insights.
- Collaborate with product managers, engineers, and cross-functional teams to prioritize features and drive a data-informed product roadmap.
- Create clear, concise stories from data analyses, presenting findings to technical and non-technical audiences to inform product decisions and strategy.
- Conduct in-depth analyses of user behavior, feature usage, and A/B test results to evaluate product changes and measure their impact on user engagement, retention, and revenue.
- Analyze product usage trends to define activation metrics that increase customer lifetime value (LTV), and contribute product usage signals to churn prediction alongside data and Customer Success partners.
- Shape the product analytics roadmap together with product managers, prioritizing the questions that matter most for each product area.
- Mentor and support team members, promoting best practices in data analysis and effective communication across the organization.
- Use AI-powered analytics tools and agentic workflows (LLM assistants, automations, AI product tracking) on top of our shared data platform to scale self-serve insights for product teams.
Your Profile:
- 5+ years of experience in data analysis, ideally with experience in or close collaboration with product teams in a SaaS or technology environment.
- Advanced skills in BI and product analytics tools (e.g. Metabase, Pendo), and comfortable picking the right tool for each question.
- Strong command of SQL, with the ability to create and optimize complex queries on large datasets.
- Solid experience in data modelling (e.g. dimensional modelling, dbt or similar), designing clean, documented and reusable models that act as the single source of truth for product metrics.
- Hands-on experience using AI tools (e.g. coding assistants, LLM-powered analytics) to accelerate query and model development, automate repetitive work and speed up insight generation, while keeping a critical eye on accuracy.
- Proven ability to translate complex data insights into clear, actionable recommendations for cross-functional teams.
- Hands-on experience with adoption analysis, A/B testing frameworks and statistical analysis, with a solid foundation in designing and analyzing experiments.
- Proven experience in establishing and tracking core product metrics and driving insights that influence product development and growth initiatives.
- Exceptional communication and presentation skills, adept at engaging and aligning stakeholders at all levels.
- Highly organized, with strong prioritization skills to manage multiple projects and deadlines.
- Comfortable working both independently and collaboratively in a dynamic, fast-paced environment.
- Fluency in English is required; additional language skills are a plus.
Location: Cardiff, London or Remote (UK)
🚀 We’re on a mission to make money work for everyone.
We’re waving goodbye to the complicated and confusing ways of traditional banking.
After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as
personal
and
business
bank accounts, we offer
joint accounts
,
accounts for 16-17 year olds
, a
free kids account
and
credit cards
in the UK, with more exciting things to come beyond. Our UK customers can also
save
,
invest
and
combine their pensions
with us.
With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers!
We’re not about selling products - we want to solve problems and change lives through Monzo ❤️
📍London / UK Remote | 💰£142,000 - £170,000 +
Benefits
✨
Our Financial Control team ⭐
We are seeking an experienced finance operations leader for a 12-month fixed-term contract to lead our Global Financial Operations and Control team. The incumbent Director is stepping out of day-to-day operations to spearhead a strategic, multi-year finance automation and systems program.
Your mandate is to provide steady-state operational leadership across all financial operations, close cycles, and management reporting; and serve as the essential operational contact for the program. You will ensure BAU integrity while actively operationalising and absorbing newly automated processes.
🔑 You’ll play a key role by...
Leading all aspects of financial control and operations, including Accounts Payable, Treasury Operations/Product Control, Money Operations ensuring robust, well controlled, and timely transaction processing.
Leading the production and end-to-end delivery of monthly close and management reporting cycle, working across Finance to provide the Group Financial Controller, UK CFO and EU CFOs with actionable insights and variance analysis.
Maintaining a robust, control and governance framework focused on integrity of our data and processes.
Serving as the primary operational counterpart and sounding board to the Director of Financial Operations & Control (incumbent) within the programme, providing operational feedback on target operating models and workflow designs.
Managing team capacity and workflows to free up key subject matter experts for involvement in the programme, including (not limited to) User Acceptance Testing, parallel runs, and systems testing.
Supporting the practical change management and operational rollout of new automation tools within the live environment, establishing new standard operating procedures without interrupting daily processing.
Working closely with the Director of Financial & Regulatory Reporting to ensure core financial operations and control processes comply with overarching accounting policies and provide a seamless hand off into the consolidation.
Providing stable, empathetic, and accountable leadership to a distributed team during a period of change, maintaining high engagement, retention, and performance.
Building and maintaining effective working relationships with internal stakeholders, external auditors and advisors.
Driving the delivery of the Financial Operations and Control teams milestones and actions on existing key projects such as EU expansion, working with stakeholders to identify and resolve delivery risks.
Managing a structured, documented operational handover back to permanent leadership at the conclusion of the 12-month term.
Role Scope Clarification
Included:
Global financial operations and control process ownership, including delivery of those services to subsidiaries, Treasury operations/Product control, Money Operations, Month-end Close and related management reporting.
Excluded:
Group Consolidation and the preparation/filing of Statutory Financial Statements for the Group and subsidiaries; Regulatory Reporting.
🤩 We’d love to hear from you if…
You have a demonstrated track record stepping into high volume, multi-entity finance operations leadership roles and delivering immediate stability within regulated environments (Fintech, Banking, or Financial Services preferred).
You’re an empathetic, effective people leader with a strong track record of coaching individuals and fostering a positive, high-performing environment.
You have a deep understanding of internal control environments and the ability to build "best-in-class" processes.
You have experience operating within complex, multi-entity or cross-border structures where data consistency is paramount.
You have demonstrated experience operationalising new technology, and embedding change within Finance teams.
Have excellent stakeholder management skills, with the ability to explain operational complexities to key stakeholders and peers.
You are adaptability and resilience in fast-paced, tech-led, and agile environments.
You hold strong technical accounting knowledge (IFRS)
Not ticking every box? That’s totally okay! Studies show that women and people of colour might hesitate to apply unless they meet every single requirement. At Monzo, we’re dedicated to creating a diverse and welcoming team. If you’re passionate about this role and keen to learn and grow with us, we encourage you to apply— even if you don’t have everything that's listed just yet. Drop us your application, we’d love to hear from you!
🙌 What’s in it for you
💰 £142,000 - £170,000.
📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London)
*(delete if doesn’t apply)
⏰ We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team.
📚 £1,000 learning budget each year to use on books, training courses and conferences.
🏡 We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup.
➕ Plus lots more!
Read our full list of benefits
.
🌈
The application journey has 5 key steps
Initial Call with the Recruiter
Hiring Manager Interview
Role Specific Interview
Behavioural Interview
Final Interview with the Team
This process should take around 3-4 weeks - your schedule is really important to us, so we promise to be as flexible as possible!
We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo.
You can read them here.
If you’d prefer to work part-time, please let us know and we'll make this happen if we can.
#LI-TP1 #LI-REMOTE
Equal opportunities for everyone
Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our
blog
, 2026
Diversity and Inclusion Report
and 2025
Gender Pay Gap Report.
We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.
If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊
Location: Anywhere in France
Workplace: Hybrid
HEALTH CAN’T WAIT.
Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t.
Alan exists to end the wait.
Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way.
So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience.
We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR.
Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond.
ROLE OVERVIEW 🌟
Alan has passed 1M members, works with 40K+ companies and operates in seven countries. New products and a flagship international event are coming, and the Brand team is investing in bigger campaigns. So far brand spend has gone mostly to broad awareness. We now need targeted B2B campaigns for specific verticals (for example TNS, retirees, very small company owners), run alongside the broad campaigns to reinforce them.
You'll own these vertical B2B brand campaigns for France, plus a portfolio of other brand projects. You'll work closely with the Brand Lead, Product Marketing, Growth, segment owners and Sales. This is an individual-contributor role at C1-D level.
WHAT YOU'LL DO
- Vertical campaigns: Define the audience, message, proof points and channels for each priority vertical. Choose priorities and objectives with segment owners, Growth and Product Marketing. Run each campaign from brief to post-mortem, and build reusable toolkits (messaging, assets, case studies) for other teams.
- Product and offer launches: Support the launch of new product features (e.g. Mo, Alan Précision) and new offers (e.g. Alan retirees) in France. Work in strong collaboration with the Product teams to build a creative, impactful go-to-market that stands out in the market. Turn product positioning into launch plans and assets.
- Partnerships and events: Run vertical-specific events, sponsorships, ambassador and creator partnerships that build credibility with each audience.
- Local markets: Give feedback on local briefs and plans. Spot French initiatives that could scale to other markets and capture them in playbooks.
- Measurement: Set KPIs for every project (reach in the target, qualified leads, pipeline influenced, brand perception). Run test-and-learn with Growth and Data. Manage budgets, vendors and deadlines.
YOU'RE A GOOD FIT IF YOU
- Have 7+ years of in-house brand marketing (B2C, B2B or B2B2C). Paid media or media planning is a big plus.
- Have led at least two B2B campaigns or brand projects end to end, and can walk us through the problem, your choices and the measurable result.
- Have managed agencies and budgets and made trade-offs when resources were tight.
- Are a generalist across campaigns, content, partnerships, events and PR, with sharp creative judgment you can defend with senior stakeholders.
- Set brand KPIs and link brand work to pipeline or lead quality.
- Work well with Sales and Growth and can influence without authority.
- Written and verbal communication fluency in English and French
For this opportunity, we are aiming to hire within the C1-D level range https://alan.com/en/careers/a/salary-equity.
🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES.
If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success.
If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements?
Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application!
🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.
YOU WANT TO KNOW MORE ABOUT ALAN?
- 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers.
- 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work
Location: Spain, Remote/Spain
Workplace: remote
Tabby
creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 25 million users choose Tabby to stay in control of their spending and make the most out of their money.
The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 70,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores.
Tabby generates over $18 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region.
Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $6,5 billion.
ServiceDesk
is the L1 layer between frontline support and engineering. Frontline agents escalate complex customer cases to us; we resolve them or route them to the right engineering team, and we own the whole path a ticket takes: from intake and classification to SLA, escalation and closure. We build our own tools for it: an in-house analytics platform, automations in CRM and Jira, and AI-assisted handling of tickets. You will help us make that path faster, clearer and easier to measure.
Key Responsibilities:
Own and improve the ticket flow between CRM and Jira: statuses, routing, escalation rules between L1, L2 and engineering teams;
Keep ticket classification and SLA targets accurate (issue types, categories, responsible teams) and fix gaps in the data;
Find where tickets get stuck, bounce back or breach SLA, and turn findings into process changes or clear tasks for engineering;
Work with frontline and engineering teams on intake quality: what a good escalation looks like and how to give feedback;
Automate routine steps in CRM procedures and Jira (automation rules, scripts);
Contribute to our internal tools and services (TypeScript / Node.js, Go): features, fixes and integrations, through merge requests and code review;
Help roll out and check AI-assisted ticket handling: what it gets right, where it fails, what to change;
Measure the effect of every change with data, and report it in a clear, short form;
Prepare and maintain documentation and playbooks for L1 and L2.
What you’ll bring:
2+ years in technical support, support operations or a similar role with tiered support (L1/L2/L3) and SLAs;
Solid experience with Jira: workflows, JQL, automation rules, dashboards;
Experience with a CRM or helpdesk system (ticket lifecycle, queues, routing);
SQL for your own analysis: joins, aggregations, working with large tables;
Working with logs and monitoring tools to investigate issues (Datadog, Grafana, Kibana);
Hands-on coding in at least one of: TypeScript / JavaScript, Go, Python (Google Apps Script counts for automation);
Working with Git, merge requests and code review;
Understanding of HTTP, REST APIs and webhooks;
Process thinking: you can map a flow, spot the weak step and change it without breaking the rest;
Clear writing in English (B2): instructions, task descriptions, short reports;
Ownership and autonomy: you drive a change to the end, including agreeing it with other teams.
Nice to have:
Production experience with Node.js / TypeScript or Go services, and Postgres;
Jira administration, Jira Service Management or Assets;
Understanding of ITIL processes;
Google Cloud and BigQuery;
Experience with LLM tools or agents in support: prompts, evaluation, guardrails;
Experience at a fintech company and/or a startup.
What we offer:
Full-time B2B contract
Fully remote setup
Up to 20% tax allowance
22 paid leave days annually
Stock options (ESOP) in a fast-scaling, pre-IPO company
Flexi benefits you can use for wellness, travel, or learning
Work alongside a high-performing, international engineering team in a global fintech unicorn
Location: New York, NY, United States
About Us
Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.
Senior Motion Designer, Performance Marketing
Position Overview:
As a Senior Motion Designer at Fanatics Sportsbook, you will play a pivotal role in conceptualizing and executing high-quality 2D and 3D motion graphics that resonate with our target audiences. This role will primarily work within our performance marketing environment, creating assets built to drive acquisition, engagement, and conversion across paid channels. You will work closely with our creative and marketing teams to develop compelling visual narratives, animations, and effects, including 3D motion design, that elevate our brand and messaging.
Responsibilities:
Collaborate with the creative and performance marketing teams to conceptualize and storyboard motion graphics projects.
Design and animate engaging 2D and 3D visuals for a wide range of digital platforms, including paid social, websites, and advertisements.
Produce high-volume, performance-driven creative, including variations and iterations for testing, and apply learnings from performance data to improve results.
Create visually stunning title sequences, transitions, and other graphical elements for videos and multimedia projects.
Incorporate internal feedback and iterate on designs to ensure they meet project objectives and exceed expectations.
Stay up to date with industry trends and best practices in motion design, 3D, and animation techniques.
Manage multiple projects simultaneously while meeting deadlines and maintaining high-quality standards.
Qualifications:
Bachelor’s degree in Graphic Design, Animation, Motion Graphics, or a related field.
6+ years of proven experience as a Motion Designer or similar role, with a strong portfolio showcasing your creative work.
Demonstrated experience in 3D motion design, with 3D work featured in your portfolio.
Proficiency in industry-standard design and animation software, such as Adobe After Effects, Adobe Premiere Pro, and Adobe Illustrator, plus a 3D tool such as Cinema 4D, Blender, or similar.
Experience creating motion content in a performance marketing or paid media environment is strongly preferred.
Solid understanding of design principles, typography, and color theory.
Excellent communication and collaboration skills, with the ability to effectively present and articulate creative ideas.
Strong attention to detail and a passion for delivering exceptional visual experiences.
Ability to adapt to changing priorities and thrive in a fast-paced, deadline-driven environment.
For information about our benefits, please visit
https://benefitsatfanatics.com/
Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit
https://benefitsatfanatics.com/
Salary Range
$90,000
—
$120,000 USD
By submitting your application, you agree to our terms of service and acknowledge you have read our
Candidate Privacy Policy.
Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it
here
.
Задачи:
— Разработка новых продуктовых сценариев и развитие существующего функционала приложения.
— Создание экранов на SwiftUI и поддержка существующих UIKit-компонентов.
— Участие в поэтапной миграции легаси-кода с RxSwift на async/await и AsyncStream.
— Проектирование модулей, API и взаимодействия между компонентами приложения.
— Интеграция с backend API, системами аналитики и feature flags.
— Написание unit- и snapshot-тестов, проведение code review и развитие инженерных практик в команде.
— Взаимодействие с дизайнерами, аналитиками, QA и backend-разработчиками.
Требования:
— Опыт коммерческой iOS-разработки от 3 лет и уверенное знание Swift.
— Практический опыт работы со SwiftUI, UIKit, Swift Concurrency и RxSwift.
— Понимание принципов ООП, функционального программирования и архитектуры мобильных приложений.
— Опыт разработки клиент-серверных приложений и интеграции с REST API.
— Уверенное применение AI-ассистентов для написания и рефакторинга кода, генерации тестов и разбора багов.
— Умение писать чистый, тестируемый код, уверенное владение Git и английский на уровне чтения технической документации.
Будет плюсом:
— Опыт работы с крупными модульными приложениями и постепенной миграции легаси-кода.
— Знание SPM и Tuist, опыт работы со Swift Testing, XCTest и SnapshotTesting.
— Навыки настройки GitLab CI/CD, Fastlane и автоматизации на Swift, Bash или Python.
— Опыт развития дизайн-системы и проведения code review.
Условия:
— Официальное оформление по ТК РФ.
— Зарплата: оклад + годовой бонус.
— Офис рядом с метро Окружная.
— Предоставление рабочей техники.
— ДМС.
— Внутреннее обучение.
Location: London
Workplace: OnSite
Company Description
We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.
About the Role
Checkout.com http://Checkout.com is on a mission to transform the shopping experience for millions of consumers. As a senior individual contributor in mobile, you’ll help design and build the products we put in the hands of our end users.
Working hand-in-hand with our engineering team and product leaders, you’ll be crafting high-performance, user-friendly experiences, which operate at scale. Your role will extend beyond writing code - you’ll define architecture, lead technical discovery, and help us build the foundations that underpin our consumer offering.
What you’ll be doing
- Architecting and building the mobile experiences that are used directly by millions of consumers around the world.
- Owning feature development end-to-end, from discovery through to development, and monitoring through to maintenance.
- Working closely with backend teams to ensure the underlying systems we build are aligned to support our mobile product evolution.
- Championing best practices across the technical domain (testing, monitoring, release strategy, etc) to strengthen our foundations as we build our products.
- Mentoring peers, reviewing code, and contributing to the long-term technical vision for mobile development at Checkout.com http://Checkout.com.
Should have
- Solid background in mobile technologies (e.g. working with at least one of: native iOS, native Android, React Native)
- Proven track record building scalable and highly performant consumer experiences across the mobile domain
- Experience building and maintaining mobile apps or SDKs used by a large, active, user base.
- Passionate about developer experience - clear APIs, great docs, and reliability at scale.
- Excellent communication skills and experience collaborating with product, design, and backend peers.
Nice to have
- Previous experience in payments, fintech, or other security-sensitive domains.
- Exposure to PCI compliance, tokenization, or secure data handling.
Additional Information
Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com http://Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/
Location: Remote
Workplace: Remote
About Us
Launched in 2019, Constructor is an AI-first e-commerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains.
About the Team
We build the AI agent that helps merchandisers, product managers, and executives grow their e-commerce business: it finds opportunities in their data, tailors insights to each person's role, and takes routine work off their plate by delivering answers where they already work. We are transforming how digital merchandising teams work: instead of digging through reports and configuring rules by hand, they ask in plain language, get answers grounded in their own data, and approve the changes the agent prepares. Customers already rely on the agent to save time and make better decisions.
We own the agent end to end, from the first question a merchant asks to the answer they act on. We also own the analytics behind it: the pipelines and cubes for search, browse, and recommendation performance, and the metric definitions merchants rely on.
That is why we build the agent and the Customer Dashboard as a platform that every Constructor team extends. We create the foundation that other teams build on: the agent framework, shared components, and infrastructure. On top of it, teams add their own data, tools, and skills, so the agent can answer questions in their domain and the dashboard can show their features without separate interfaces. Each new capability gives merchants more ways to grow their business.
What you'll do
- Build and own the batch pipelines and cubes behind dashboard analytics and agent insights
- Model shopper, trend, and benchmark data so the agent can find opportunities across the shopping journey
- Shape data for each role: a merchandiser's category, a product manager's funnel step, an executive's total
- Own data quality and trust: freshness, monitoring, alerting, and metric definitions
- Work with engineers, analysts, and product to find the data the agent is missing and turn merchant questions into data products
- Ship your data into the product: simple analytics UIs, and the agent skills, tools, and prompts that use it
Requirements
Must-have
- Proficiency in Python and SQL (any dialect)
- Experience building and maintaining batch data pipelines with Spark (PySpark)
- Familiarity with the big data stack: Databricks, ClickHouse and dbt
- Experience with data modeling for analytics: aggregated tables and cubes that feed dashboards and APIs
- Experience with data quality and pipeline monitoring: freshness checks, alerting, incident response
- Ability to prototype fast and pick the metrics that matter in e-commerce
- Ability to translate business questions into technical requirements, and back
- Clear communication with engineers and non-technical stakeholders
Nice-to-have
- Experience building frontend UIs, or willingness to work across the full stack to ship data into product features
- Experience with pandas, NumPy
- Experience building AI agents: tools, skills, prompts, context, and evaluations
- Experience with real-time analytics: ClickHouse, Cube.js
- Experience with AWS
- Familiarity with statistics for experimentation (A/B tests)
Benefits
- 🏝️ Unlimited vacation, with a recommended minimum of 3 weeks per year
- 🌎 Fully remote team: choose where you live
- 🛋️ Work-from-home stipend to set up your home office
- 💻 Apple laptop for new employees
- 🧑🎓 Annual training and development budget for every employee
- 👪 Maternity and paternity leave for qualified employees
- 🧠 Smart colleagues who help you grow and make a meaningful impact
- 💵 Base salary: 80-120K USD, depending on knowledge, skills, experience, and interview results
- 📈 Stock options, in addition to the base salary
- 🎉 Regular team offsites to connect and collaborate
Diversity, Equity, and Inclusion at Constructor
At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications.
How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.
Location: United Kingdom; Dublin; Hungary; Bulgaria; Switzerland; Denmark; Poland; Warsaw; Sweden; Zurich; Stockholm; London; Czechia; UAE; Berlin
Workplace: Remote
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
ABOUT THE ROLE
We are looking for a frontend-leaning full-stack engineer to build the product experience of ElevenAI, our new voice-first AI assistant for dictation, meetings and everyday work.
ElevenAI started life as a dictation tool our own team uses every day, and it is now launching to the world. It is a small team with a live product, real users and a lot of open ground. The people who join now will decide how it feels, and what it does next.
This is a product role as much as an engineering one. You will own the surfaces people touch every day, from the first-run experience to the moment text lands in the app they are working in. The best version of this work is fast, quiet and trustworthy, and it takes real craft to get there.
Your responsibilities will include:
- Building and polishing the core ElevenAI experience across web, desktop and mobile, including dictation, meeting capture and notes.
- Designing interactions where latency, reliability and feel matter: live transcription, keyboard shortcuts, text insertion into other apps, and permissions people trust.
- Owning features end to end, from a short proposal and prototype through to launch and support in production, reaching into the backend when the feature needs it.
- Turning feedback from early users and colleagues into shipped improvements, quickly.
You might be a product engineer who has shipped a complex interactive tool that people use all day, or a desktop or editor specialist who wants to build something for the whole company to use, and soon the world.
REQUIREMENTS
We care about evidence of exceptional engineering: products you have shipped, difficult problems you have solved, and things you have owned.
- Strong frontend engineer, fluent in JavaScript and TypeScript, who has built complex, interactive products with web, desktop or mobile technologies.
- Strong product sense: you can take an ambiguous problem, break it into shippable pieces, and decide what not to build.
- Enough full-stack ability to work across the stack, including APIs and streaming connections. Deep backend expertise is not required.
- Evidence of ownership: shipped products, side projects, open source, or product-facing work.
- Thrives in a small, fast-moving team and takes ownership with minimal hand-holding.
Bonus: experience with real-time audio or streaming UIs, native or cross-platform desktop and mobile integrations, or dictation, note-taking and meeting tools.
LOCATION
This role is remote-first, so it can be executed globally, with the ability to operate in GMT-5 to GMT+8 timezones required. If you prefer, you can work from our offices in London, New York, and Warsaw.
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: United Kingdom; Dublin; Hungary; Bulgaria; Sofia; Switzerland; Denmark; Poland; Warsaw; Sweden; Zurich; Stockholm; London; Czechia; UAE; Berlin
Workplace: Remote
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
ABOUT THE ROLE
We are looking for a backend-leaning full-stack engineer to build the systems behind ElevenAI, our new voice-first AI assistant for dictation, meetings and everyday work.
ElevenAI started life as a dictation tool our own team uses every day, and it is now launching to the world. The product has to feel instant and be dependable the first time, every time. It also handles some of the most sensitive things people say at work, so reliability, privacy and security are part of the job from day one.
You will join a small team with a live product and a lot of open ground, with ownership from the services and AI pipelines through to the experience people see. You will help discover what works, turn experiments into reliable features, and use real user feedback to decide what we build next.
Your responsibilities will include:
- Designing and operating the real-time backend behind ElevenAI: streaming speech-to-text, long-running meeting and notes workflows, and the services behind our web, desktop and mobile apps.
- Building AI-powered features that people can rely on, including summaries, actions and integrations with the tools people already use, such as calendars and meeting platforms.
- Developing evaluations and live quality monitoring so we know when the product gets better, or worse, for real users.
- Owning reliability in production, with strong observability, security and data-handling practices, and taking part in the on-call rotation.
- Owning features end to end, shipping across the stack and into the frontend when needed, alongside product, design and engineering.
REQUIREMENTS
We care about evidence of exceptional engineering: products you have shipped, difficult problems you have solved, and systems you have owned.
- Strong backend engineering skills and experience operating production systems, with sound fundamentals in APIs, cloud infrastructure, storage and asynchronous processing.
- Experience building reliable real-time systems, such as streaming, WebSockets and background workers, and recovering from failures gracefully.
- Hands-on experience shipping LLM-powered features, with an understanding of prompts, tools, retrieval and evaluations.
- Strong product sense and evidence of independent, end-to-end ownership, with the confidence to work across the stack when needed.
- Comfortable in a small, fast-moving team, with clear communication and good judgement about what to build next.
Bonus: experience with speech or audio systems, calendar and meeting integrations, handling privacy-sensitive user data, or backends for mobile clients.
LOCATION
This role is remote-first, so it can be executed globally, with the ability to operate in GMT-5 to GMT+8 timezones required. If you prefer, you can work from our offices in London, New York, and Warsaw.
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: United States (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 position. We are looking for candidates in the US and Canada.
The Opportunity:
Grafana Enterprise is our composable observability platform focused on large-scale operators with security and regulatory requirements who need to self-operate their observability solutions. Grafana Enterprise features are also part of our Grafana Cloud service. Grafana Cloud is an integrated suite of observability applications offered as a service. It allows our customers to leverage the best open source observability software, including Prometheus, Mimir, Loki, and Tempo, without the overhead of installing, maintaining, and scaling their own observability stack.
The Grafana Enterprise team is a diverse team of expert technologists working remotely from around the globe. The team focuses on innovative solutions to large-scale customer challenges and developing solutions that improve security, robustness, flexibility, multitenancy, and interoperability on behalf of our customers. We work across the larger Grafana Labs organisation and directly with external customers, including major cloud service providers and global enterprises running observability and build infrastructure at massive scale, to solve their most demanding distributed systems challenges. Our customers include software engineers, site reliability engineers, and platform operators at medium, large, and global enterprises.
As a company we are remote-only and global; we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. Our meetings tend to happen between 14:00 and 17:00 UTC, but we are flexible and responsive to the needs of our engineers and our customers. We measure ourselves by our openness, helpfulness, and our shared successes.
We are looking for experienced software engineers who are passionate about distributed systems and building reliable, scalable backend infrastructure to join our growing team. Our backend is Go, and we build tools for people operating some of the world's largest observability and software delivery stacks. Backend Engineers at Grafana also contribute to open source communities.
What You’ll Be Doing:
Earning the trust of our large-scale operator customers to further Grafana's "big tent" philosophy of data accessibility and to meet clear business objectives
Designing and leading the development of backend services, distributed systems, and enterprise features at scale
Driving continuous improvement of our engineering culture through words and actions
Driving projects from initial ideation through the development lifecycle to production
Contributing to the scalability, reliability, security, and multi-tenancy of the Grafana platform trusted by some of the world's largest operators
Owning the operational health of our platform by participating in weekday 12h x 5d and separate weekend 24h x 2d on-call rotations. (Yes, we prioritize ops load reduction.)
Hiring and developing the best engineers to build the future of Grafana
Developing your skills as a thought leader to drive continuous improvement of engineering and operational practices across Grafana Labs
As we are remote-first, we provide guidance and meet regularly using video calls, so strong teamwork and excellent written and interpersonal communication skills are a must.
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 paired with strong code review and quality standards.
You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.7, Gemini 3 Pro).
What Makes You a Great Fit:
You work well as a communicative member of a team of engineering professionals.
You earn trust by saying what you mean and doing what you say.
You are customer focused and especially attuned to the needs of large-scale operators who rely on Grafana as critical infrastructure. You start with their needs and work backwards.
You insist on the highest standards and work to develop the skills and knowledge of your fellow team members.
You take on complex distributed systems challenges, break them down into digestible problems, and leverage your team and organization to deliver.
You design modular solutions, deliver minimum loveable products, gather data and feedback, and then progress iteratively.
What will you be doing? (Role specifics)
As a Staff Backend Engineer, you will design and build the backend systems powering Grafana Enterprise — the platform trusted by the world's largest operators to run their observability and software delivery infrastructure.
Hiring and developing the best engineers we can to deliver the future of Observability.
Architecting and implementing distributed backend services in Go, with a focus on correctness, observability, and performance at scale
Designing APIs and service contracts used by thousands of enterprise operators and cloud service providers
Collaborating with Product and UX to shape features and partnering with frontend engineers to ship complete, end-to-end solutions
Driving scalability and reliability improvements that matter to large-scale operators running Grafana in regulated, high-availability environments
Engaging directly with large enterprise customers and cloud service providers to understand their requirements and translate them into robust engineering solutions
Advocating for our customers at every stage of the development lifecycle
What technical competencies are we looking for?
Deep professional experience writing production services, from ideation through to production operations at scale
Strong distributed systems fundamentals: replication, consistency models, partitioning, fault tolerance, and the trade-offs that come with operating at scale
Demonstrated experience designing and operating systems for large-scale, high-traffic, high-availability, or multi-tenant environments, ideally in the context of infrastructure, observability, or software delivery platforms
Professional experience building and consuming gRPC/protobuf APIs and designing clean service contracts across service boundaries
Strong database skills, such as PostgreSQL and/or MySQL; including schema design, query optimisation, and schema migrations at scale
Experience with large-scale CI/CD systems and build tooling, designing, operating, or integrating with continuous delivery pipelines that serve large engineering organisations or external operators at scale
Comfort working with Kubernetes and containerised deployment environments, including patterns for operating stateful workloads and multi-tenant clusters
Experience with observability tooling: OpenTelemetry, Prometheus metrics, structured logging, and distributed tracing
Familiarity with dependency injection patterns (e.g., Google Wire) and clean, testable service architecture
What are your "nice to have" technical competencies?
Experience with TypeScript and React for contributing to frontend features and collaborating closely with frontend engineers
Experience with Grafana's LGTM+ observability stack (Loki, Mimir, Tempo, Pyroscope, Alloy)
Prior experience at or building for large-scale cloud service providers, IaaS providers, or global enterprises with demanding SLA requirements
Experience designing or operating large-scale build infrastructure artifact registries, distributed build caches, hermetic build systems (e.g., Bazel), or developer platform tooling
In the United States, the compensation range for this role is $174,986 - $209,983 USD. 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: Canada (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 position. We are looking for candidates in the US and Canada.
The Opportunity:
Grafana Enterprise is our composable observability platform focused on large-scale operators with security and regulatory requirements who need to self-operate their observability solutions. Grafana Enterprise features are also part of our Grafana Cloud service. Grafana Cloud is an integrated suite of observability applications offered as a service. It allows our customers to leverage the best open source observability software, including Prometheus, Mimir, Loki, and Tempo, without the overhead of installing, maintaining, and scaling their own observability stack.
The Grafana Enterprise team is a diverse team of expert technologists working remotely from around the globe. The team focuses on innovative solutions to large-scale customer challenges and developing solutions that improve security, robustness, flexibility, multitenancy, and interoperability on behalf of our customers. We work across the larger Grafana Labs organisation and directly with external customers, including major cloud service providers and global enterprises running observability and build infrastructure at massive scale, to solve their most demanding distributed systems challenges. Our customers include software engineers, site reliability engineers, and platform operators at medium, large, and global enterprises.
As a company we are remote-only and global; we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. Our meetings tend to happen between 14:00 and 17:00 UTC, but we are flexible and responsive to the needs of our engineers and our customers. We measure ourselves by our openness, helpfulness, and our shared successes.
We are looking for experienced software engineers who are passionate about distributed systems and building reliable, scalable backend infrastructure to join our growing team. Our backend is Go, and we build tools for people operating some of the world's largest observability and software delivery stacks. Backend Engineers at Grafana also contribute to open source communities.
What You’ll Be Doing:
Earning the trust of our large-scale operator customers to further Grafana's "big tent" philosophy of data accessibility and to meet clear business objectives
Designing and leading the development of backend services, distributed systems, and enterprise features at scale
Driving continuous improvement of our engineering culture through words and actions
Driving projects from initial ideation through the development lifecycle to production
Contributing to the scalability, reliability, security, and multi-tenancy of the Grafana platform trusted by some of the world's largest operators
Owning the operational health of our platform by participating in weekday 12h x 5d and separate weekend 24h x 2d on-call rotations. (Yes, we prioritize ops load reduction.)
Hiring and developing the best engineers to build the future of Grafana
Developing your skills as a thought leader to drive continuous improvement of engineering and operational practices across Grafana Labs
As we are remote-first, we provide guidance and meet regularly using video calls, so strong teamwork and excellent written and interpersonal communication skills are a must.
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 paired with strong code review and quality standards.
You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.7, Gemini 3 Pro).
What Makes You a Great Fit:
You work well as a communicative member of a team of engineering professionals.
You earn trust by saying what you mean and doing what you say.
You are customer focused and especially attuned to the needs of large-scale operators who rely on Grafana as critical infrastructure. You start with their needs and work backwards.
You insist on the highest standards and work to develop the skills and knowledge of your fellow team members.
You take on complex distributed systems challenges, break them down into digestible problems, and leverage your team and organization to deliver.
You design modular solutions, deliver minimum loveable products, gather data and feedback, and then progress iteratively.
What will you be doing? (Role specifics)
As a Staff Backend Engineer, you will design and build the backend systems powering Grafana Enterprise — the platform trusted by the world's largest operators to run their observability and software delivery infrastructure.
Hiring and developing the best engineers we can to deliver the future of Observability.
Architecting and implementing distributed backend services in Go, with a focus on correctness, observability, and performance at scale
Designing APIs and service contracts used by thousands of enterprise operators and cloud service providers
Collaborating with Product and UX to shape features and partnering with frontend engineers to ship complete, end-to-end solutions
Driving scalability and reliability improvements that matter to large-scale operators running Grafana in regulated, high-availability environments
Engaging directly with large enterprise customers and cloud service providers to understand their requirements and translate them into robust engineering solutions
Advocating for our customers at every stage of the development lifecycle
What technical competencies are we looking for?
Deep professional experience writing production services, from ideation through to production operations at scale
Strong distributed systems fundamentals: replication, consistency models, partitioning, fault tolerance, and the trade-offs that come with operating at scale
Demonstrated experience designing and operating systems for large-scale, high-traffic, high-availability, or multi-tenant environments, ideally in the context of infrastructure, observability, or software delivery platforms
Professional experience building and consuming gRPC/protobuf APIs and designing clean service contracts across service boundaries
Strong database skills, such as PostgreSQL and/or MySQL; including schema design, query optimisation, and schema migrations at scale
Experience with large-scale CI/CD systems and build tooling, designing, operating, or integrating with continuous delivery pipelines that serve large engineering organisations or external operators at scale
Comfort working with Kubernetes and containerised deployment environments, including patterns for operating stateful workloads and multi-tenant clusters
Experience with observability tooling: OpenTelemetry, Prometheus metrics, structured logging, and distributed tracing
Familiarity with dependency injection patterns (e.g., Google Wire) and clean, testable service architecture
What are your "nice to have" technical competencies?
Experience with TypeScript and React for contributing to frontend features and collaborating closely with frontend engineers
Experience with Grafana's LGTM+ observability stack (Loki, Mimir, Tempo, Pyroscope, Alloy)
Prior experience at or building for large-scale cloud service providers, IaaS providers, or global enterprises with demanding SLA requirements
Experience designing or operating large-scale build infrastructure artifact registries, distributed build caches, hermetic build systems (e.g., Bazel), or developer platform tooling
In Canada, the compensation range for this role is $186,368 - $223,642 CAD. 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
.
Responsibilities:
— Consolidate and improve the existing design system by auditing it, identifying gaps and inconsistencies, and structuring components, patterns, and design principles coherently.
— Ensure consistency across the product by making UI components and interactions follow unified patterns.
— Collaborate closely with Product Managers and Frontend Engineers to align priorities, discuss implementation constraints, and promote effective adoption of the design system.
— Drive design system adoption by establishing clear guidelines and documentation.
— Design new product features by translating user needs and business requirements into intuitive, high-quality experiences.
— Contribute to product decisions by providing a design perspective, challenging assumptions, and shaping the product experience.
Requirements:
— 3–7 years of experience in UI/UX, Product Design, or similar roles.
— Hands-on experience building or consolidating a design system, either creating one from scratch or improving an existing one for structure, consistency, and scalability.
— Strong cross-functional collaboration skills, especially with Product Managers and Frontend Engineers.
— Practical mindset understanding that a design system must work effectively for both the product and the development team.
— Strong UI and interaction design skills with attention to detail and consistency.
— Product thinking balancing user needs, business goals, technical constraints, and design quality.
— Experience in startups or larger organizations, with emphasis on ownership and experience with design systems.
— English proficiency at B2 level or above for effective professional communication.
Nice to have:
— Experience maintaining and evolving a design system used across multiple teams or product areas.
— Experience establishing design system documentation, governance, and contribution processes.
— Familiarity with component libraries and design-to-development workflows.
— Experience working closely with frontend teams on component implementation and design QA.
Benefits:
— Fully remote work from anywhere.
— 21 days of paid annual leave and 10 days of paid sick leave.
— Ownership and autonomy in work, with real impact on the product and its evolution.
УдалённоМожно работать из любой страны
ОфисleadWarsaw
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоUnited Kingdom; Dublin; Hungary; Bulgaria; Switzerland; Denmark; Poland; Warsaw; Sweden; Zurich; Stockholm; London; Czechia; UAE; Berlin; This role is remote-first, so it can be executed globally, with the ability to operate in GMT-5 to GMT+8 timezones required
УдалённоUnited Kingdom; Dublin; Hungary; Bulgaria; Sofia; Switzerland; Denmark; Poland; Warsaw; Sweden; Zurich; Stockholm; London; Czechia; UAE; Berlin; This role is remote-first, so it can be executed globally, with the ability to operate in GMT-5 to GMT+8 timezones required
United States (Remote); We are looking for candidates in the US and Canada
Canada (Remote); We are looking for candidates in the US and Canada
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