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Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for a Senior Software Serviceability Engineer to own the software and AI dimension of serviceability for our humanoid robots. Product Services Engineering makes sure the robot is designed to be maintained — and that when it needs service, it can be diagnosed and repaired quickly, safely, and at low skill in the field. You will own that mission for everything software: diagnostics, firmware and bootloader serviceability, and the diagnostic content behind our remote-diagnostics (Digital Shadow) platform. This is a deeply technical, hands-on role. You will validate the software and AI dimension of every service procedure before it reaches production, build the diagnostic tooling that lets our Remote Services and Repair Centre teams find faults fast, and act as part of the single engineering interface between Services and R&D. WHAT YOU’LL DO: - Own Design-for-Serviceability for software: ensure the robot’s software, firmware, and AI stack can be diagnosed, updated, and recovered in the field with minimal skill. - Collaborate with R&D to build and validate diagnostic scripts, tooling, and self-test routines that localise faults as deep as possible in the BOM. - Define and own the software diagnostic content in the Digital Shadow platform: remote diagnostics, fleet-pattern detection, and AR-guided execution. - Validate the software and AI dimension of service, repair, calibration and OTA procedures before production release. - Own firmware, bootloader, and calibration serviceability, including recovery paths for failed updates. - Support New Services Introduction (NSI) for software, and act as the single point of entry from Services into R&D for software escalations. WE’RE LOOKING FOR: - Strong software engineering for robotics or embedded systems: ROS2, Bash, and Ubuntu/Linux, with bootloader/firmware workflows. - Proficiency in Python (and ideally C++) for diagnostics, tooling, and automation. - Hands-on experience diagnosing robots or complex electromechanical systems — you can tell whether a fault is software, firmware, calibration, or hardware. - Working understanding of sensor and actuator stacks (2D/3D LiDAR, RGB cameras, motors/actuators) from a software and diagnostic perspective. - A design-for-serviceability mindset — you think about the technician in the field, not just the happy path. - Disciplined engineering practice and version control (Git). NICE TO HAVE: - Experience deploying AI/ML on robots and diagnosing model or behaviour issues in the field. - Familiarity with remote-diagnostics or fleet-telemetry platforms. - Experience authoring service documentation or work instructions consumed by non-engineers. - Exposure to Design-for-Serviceability / DfMA on a hardware product line. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for a Senior Electrical Serviceability Engineer to own the electrical and electronics dimension of serviceability for our humanoid robots. Product Services Engineering ensures the robot is designed to be maintained — modular, repairable, and serviceable at low skill in the field. You will own that mission for everything electrical: power distribution and batteries, wiring and harnesses, connectors, sensor and actuator drive electronics, and compute — including how faults are diagnosed, how systems are safely isolated, and how parts are replaced and reworked at the right BOM level. This is a deeply technical, hands-on role. You will validate the electrical and electronics dimension of every service procedure before production, define the diagnostic points and safe-working practices that let our field and Repair Centre teams work quickly and safely, and act as part of the single engineering interface between Services and R&D. WHAT YOU’LL DO: - Own Design-for-Serviceability for electrical and electronics: drive accessibility, connectorisation, safe isolation, and low-skill field-executability into the product before design is locked. - Define and validate electrical repair, rework, and replacement procedures at the correct BOM level — module/assembly for the field, deeper for the Repair Centre — across power distribution, batteries, harnesses, sensor and actuator electronics, and compute. - Specify the diagnostic points, test equipment, and safe-isolation / lockout procedures needed to service the robot’s electrical systems safely and repeatably. - Define the electrical diagnostic content in the Digital Shadow platform — localising power, sensing, and actuation faults as deep as possible in the BOM. - Lead the electrical and electronics input to Service Failure Mode and Effects Analysis (S-FMEA) and feed serviceability requirements back into design. - Support New Services Introduction (NSI) for electrical scope, and act as the single point of entry from Services into R&D for electrical escalations. WE’RE LOOKING FOR: - Electrical or electronics engineering background with hands-on experience diagnosing and repairing complex electromechanical products or robots. - Strong grasp of power distribution, battery systems, wiring harnesses, connectors, sensors (LiDAR, cameras), and actuator drive electronics from a maintainability standpoint. - Confident reading schematics and wiring diagrams, using electrical test equipment (multimeter, oscilloscope, and similar), and defining safe-isolation and lockout/tagout procedures. - Design-for-Serviceability experience: connectorisation, diagnostic access, fault isolation, and modularity of electrical assemblies. - A field-first, safety-first mindset — you design for the technician who has limited time, tools, and training, and for whom electrical safety is paramount. - Comfort working across the full BOM hierarchy, from full-robot diagnosis to board- and component-level repair. NICE TO HAVE: - Experience with humanoid or legged robotics electrical systems. - Familiarity with battery management systems (BMS), high-current power electronics, and functional-safety considerations. - Experience with calibration-after-repair for sensors and actuators. - Exposure to spare-parts / service-replaceable-unit (SRU) strategy and refurbishment loops. - Experience introducing serviceability into a product moving from prototype to mass production. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for a Senior In-House Repair Technician the deepest hands-on repair capability in our Services Repair Centre. You will perform complex repair, rework, and full overhaul/restore on parts, sub-systems, and full robots, and deliver approved upgrades to existing units. You will also be our forensic-analysis specialist, determining root cause and supporting warranty decisions in both directions. This is a senior, hands-on role. You will act as a “flying doctor” at customer sites for the most difficult interventions, help author the work instructions the rest of the team follows, and mentor Associate and Advanced technicians. WHAT YOU’LL DO: - Perform complex repair, rework, and full overhaul/restore on parts (SRUs), sub-systems, and full robots. - Deliver approved upgrades to existing robots and parts. - Lead physical troubleshooting and forensic analysis when Remote Services cannot localise a fault, determining root cause and supporting warranty determination (supplier claims, proof a fault was not caused by Humanoid…). - Act as a flying doctor at customer sites for the most difficult on-site interventions. - Partner with Product Services Engineering and the Training team to author clear, low-skill work instructions. - Mentor Associate and Advanced technicians and contribute to the skills matrix and the unified career path across In-House, Remote, and Field roles. - Own refurbishment throughput and quality for the most complex part families, and certify work to specification. WE’RE LOOKING FOR: - Mechanical/electrical technician training plus ~5+ years of hands-on repair experience, with deep specialisation. - Proven ability to overhaul and restore complex electromechanical systems and full robots to specification. - Strong forensic troubleshooting skills — you find root cause and can defend a warranty determination with evidence. - Ability to author work instructions and mentor other technicians. - Rigorous quality, certification, 5S and health-and-safety discipline. - Willingness to travel for on-site interventions. NICE TO HAVE: - Experience with humanoid, legged, or advanced robotics hardware. - Familiarity with calibration, metrology, and test/certification requirements for precision mechatronics. - Exposure to failure-analysis methods and supplier-quality / warranty processes. - Experience setting up or scaling a repair or refurbishment operation. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ days off, including 23 days annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Обязанности: — Объединить наблюдаемость и эксплуатацию для легаси и нового стека в единый стандарт; — Построить рабочий алертинг с приоритизацией и эскалациями, чтобы снизить шум и ускорить реакцию; — Запустить стабильный процесс инцидент менеджмента: triage, роли, коммуникации, пост мортем, контроль действий после аварий; — Поставить дежурства 24/7 с понятной ротацией и runbooks; — Обеспечить безопасную поэтапную миграцию к GitOps без просадки SLA. Требования: — Опыт в роли Senior SRE/DevOps; — Опыт работы в продакшн средах с гибридом Bare metal и Kubernetes; — Умение строить observability: метрики, логи, SLI/SLO, алертинг по сервисным сигналам; — Опыт ведения инцидентов как Incident Commander и проведения RCA; — Опыт настройки дежурств, runbooks и операционных процессов; — Сильные Linux и сетевые навыки, понимание edge/DNS/TLS/LB; — Умение работать кросс-функционально и доводить изменения до эксплуатационного результата. Требования по стеку: Linux, Kubernetes, Helm, Prometheus/VictoriaMetrics, Grafana, CI/CD, IaC, GitOps-практики (ArgoCD/Flux как целевая модель), SRE-методики: SLI/SLO, error budgets, incident response, postmortem culture. Будет плюсом: — Опыт с игровыми или realtime системами; — Опыт эксплуатации PostgreSQL и RabbitMQ, включая backup/restore drills; — Опыт с Cloudflare, DNS/CDN и multi-region routing; — Автоматизация SRE-задач на Python/Go/Bash; — Опыт chaos/game day практик. Условия: — Удаленная работа из любого гео в ±3 часах от МСК или гибрид из офиса в Казани; — Открыты к разным форматам оформления; — Гибкое начало рабочего дня, 5 дополнительных выходных в год; — Баланс между перфомансом и здоровым ворк-лайф балансом; — Возможности для развития, инициативы и профессионального роста.

Location: Remote (Peru) At Livefront, we help companies design and build world-class digital products that command attention and inspire joy. We’ve helped household names like CVS, Samsung, General Mills, and Optum create experiences that have reached millions of people, and startups like HomeSpotter and Credly build entirely new businesses that challenge their industries’ status quo. We're looking for an outstanding Senior Databricks Data Engineer to join our growing data practice — someone who builds the data and AI foundations that digital products and intelligent experiences run on. This is a senior-level position with the opportunity to work remotely in Peru. Who you are You are a Databricks-focused Data Engineer who understands that great data platforms are only as valuable as the products, AI workflows, and experiences they enable. You bring deep, production-grade expertise across the Databricks platform and know how to connect platform capabilities to real business outcomes. You thrive in ambiguity and can quickly assess a client's data landscape to recommend and implement the right solutions. You understand that in consulting, your Databricks depth is most valuable when it connects platform capabilities to the products and experiences clients actually use — and you're as comfortable in a product design conversation as you are building a DLT pipeline. You excel at translating complex data challenges into clear technical requirements and can confidently navigate conversations with everyone from data scientists to executives. Your engineering principles are mature and grounded in real-world experience across various industries and scales. You have an interest in and a curiosity about data platforms and the latest advances in data technology. What you will be doing Design and build production data pipelines using Lakeflow Declarative Pipelines, Autoloader, and Structured Streaming, with end-to-end ownership of ingestion, transformation, data quality expectations, and CI/CD deployment via Declarative Automation Bundles. Architect and implement Lakehouse solutions on Databricks — medallion architecture, Delta Lake, Unity Catalog — tailored to the client's analytics, AI, and application needs. Build and maintain Databricks transformation layers — DLT pipelines, PySpark notebooks, and dbt — with data quality constraints and SLAs baked in. Design and maintain the data and AI foundations — Unity Catalog, Feature Store, MLflow, and Model Serving — that power production ML, agent workflows, and AI-enabled digital products. Collaborate with product and backend engineers to design data models, APIs, and application data contracts — ensuring the platform serves the product, not just the warehouse. Consult with clients to understand their data challenges, develop data strategies, and implement sustainable solutions. Adapt your approach based on project needs — sometimes leading data architecture discussions with clients, other times supporting internal teams with specialized data expertise. Work within multi-cloud environments — primarily AWS and Azure — anchoring data platform recommendations around Databricks where it fits the client's architecture and goals. Champion data governance through Unity Catalog — access control, lineage, data quality policies, and compliance — as a first-class part of every engagement, not an afterthought. Design data-to-application architectures — including Lakebase-backed services and Databricks Apps — that connect governed data to AI workflows, digital products, and user-facing experiences. Help build Livefront's Databricks practice — contributing to accelerators, internal enablement, certification goals, and Databricks partner go-to-market materials alongside delivery work. Why you should apply You want to work with passionate and talented people who are always looking for ways to make things better. You desire a work environment where respect, mutual trust, and egoless collaboration are paramount. You want colleagues who take their work seriously but not themselves, and who know how to let loose and have a good time. You like being part of a team with a reputation for excellence that gives back to the community by educating, mentoring, and sponsoring. You want to work on products and accounts that have outsized impact and reach. You believe in sweating the details, giving a damn about quality, and taking pride in going the extra mile. You want to help build a data practice specialization from the ground up — shaping how we go to market with Databricks, what we build as accelerators, and what it means to do this kind of work at a digital product company. What you bring to the table 5-8+ years of data engineering experience with at least 4 years in production Databricks environments, preferably in a consulting or client delivery context. Solid working knowledge of AWS and Azure cloud services relevant to Databricks deployments — storage, networking, IAM, and compute — with GCP familiarity a plus. Deep, production-grade Databricks expertise: Lakeflow Declarative Pipelines, Autoloader, Structured Streaming, Lakeflow Jobs, Unity Catalog (including fine-grained access control and lineage) — demonstrated through shipped production workloads, not prototypes. Proven experience designing Lakehouse architectures — medallion patterns, Delta Lake table design, partitioning, Z-ordering, and query optimization — at production scale. Hands-on experience with data pipeline testing, observability, and CI/CD for data — including unit testing, data quality frameworks, and version-controlled deployments via Git and Declarative Automation Bundles. Strong proficiency in SQL and Python, with the ability to write clean, performant, and maintainable code. Understanding of data modeling, schema design, and query optimization. Excellent communication skills with the ability to explain complex data concepts to both technical and non-technical stakeholders. Strong problem-solving skills with the ability to navigate ambiguous requirements and deliver pragmatic solutions. Above-average discipline and personal organization skills. Obvious comfort with critique and peer review in the context of an iterative development process. A demonstrated hunger for personal and professional growth. A self-evident love and care for the craft of data engineering. Bonus points if you… Have worked with real-time streaming technologies (Kafka, Kinesis, etc.). Have hands-on experience with alternative cloud data platforms — useful context for migrations and competitive assessments, though Databricks is our primary platform focus. Have experience in healthcare or fintech domains. Have hands-on experience with MLOps or LLMOps on Databricks — MLflow experiment tracking, model registry, Model Serving endpoints, or Vector Search for RAG pipelines. Have experience with Java, Go, or Scala. Have strong illustration skills for technical diagramming and data architecture documentation. Speak, write, and/or educate publicly about data engineering topics. Have contributed to open-source data projects. Hold or are actively pursuing a Databricks certification (Data Engineer Associate or Professional, or Apache Spark Developer) — we treat these as meaningful signals of platform depth, and they directly support our Databricks partner growth goals. Have experience with Databricks Apps, or Lakebase — early familiarity with where the Databricks platform is heading is a strong differentiator. What to expect When applying, please include a short note about yourself, a summary of your work experience, and a link to any public profiles you actively maintain (e.g., GitHub, LinkedIn, etc). Our hiring process moves quickly and consists of several stages for candidates who capture our attention with their initial submission, sometimes including but not limited to a short preliminary phone interview, a series of video interviews, and a short take-home exercise, which you'll have up to a week to complete. Additional information We go out of our way to evaluate all employees and job applicants equally based on merit, competence, and qualifications. We encourage candidates from all backgrounds to apply and consider all qualified applicants. Don't worry, every application will be reviewed by a human.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. By providing members with a deep understanding of their bodies, behaviors, and daily lives, WHOOP empowers healthier choices and peak performance.  We are seeking a Senior AI Researcher to join our Foundation AI team. This team builds the multimodal foundation models that underpin WHOOP’s next generation of intelligent, personalized, and health-enhancing experiences. These models integrate data across wearable sensors, language, biomarkers, clinical information, and self-reported inputs to create scalable AI systems that understand human physiology and behavior. In this role, you’ll serve as a senior individual contributor driving the research, development, and deployment of large-scale multimodal models. You’ll collaborate closely with data scientists, ML engineers, and cross-functional partners to push the boundaries of deep learning and ensure our models deliver measurable value to WHOOP members. RESPONSIBILITIES: - Design, train, and optimize large-scale multimodal foundation models that integrate wearable sensor data, text, biomarkers, and behavioral data. - Conduct applied research in self-supervised learning, representation learning, and downstream task fine tuning to advance WHOOP’s core model capabilities. - Develop scalable, distributed training pipelines for large models on high-performance compute environments. - Collaborate with MLOps, data engineering, and software engineering teams to operationalize models for production deployment, ensuring robustness, reproducibility, and observability. - Partner with product and research teams to translate foundation model capabilities into downstream features that deliver meaningful member value. - Contribute to the technical roadmap and architectural direction for foundation model development at WHOOP. - Ensure models adhere to WHOOP’s standards for ethical, transparent, and privacy-preserving AI. QUALIFICATIONS: - Advanced degree (Master’s or Ph.D.) in Computer Science, Machine Learning, Electrical Engineering, or a related field, or equivalent professional experience. - 7+ years of experience in applied ML, AI research, or large-scale modeling, with a track record of delivering production systems. - Expertise in modern deep learning (e.g., transformers, state space models), multimodal model training.  - Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow).  - Familiarity with training models on  mulit-node, multi-gpu distributed compute environments.  - Familiarity with best practices for data, model, and context parallelisms. - Strong applied experience with representation learning, self-supervised methods, and post-training for downstream applications. - Experience with reinforcement learning for post-training foundation models (PPO, DPO, GRPO etc.).  - Familiarity with MLOps best practices including model versioning, evaluation, CI/CD for ML, and cloud-based compute. - Excellent communication skills and ability to collaborate cross-functionally with engineers, researchers, and product teams. - Passion for WHOOP’s mission to improve human performance and extend healthspan through science and technology.   This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.    Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $190,000 - $230,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Americas Remote Hi, I'm Manu, Engineering Manager at Customer.io . We're looking for experienced backend engineers who want to build and own the infrastructure that powers one of the most data-intensive platforms in marketing automation — systems that process millions of events per second, orchestrate complex workflows at scale, and keep everything running reliably for thousands of customers worldwide. You'll work on the Platform team, tackling hard distributed systems problems: designing for fault tolerance, scaling services under real production pressure, and building the foundational layers that every other team at Customer.io depends on. This isn't just maintenance work — you'll shape the architecture of systems that need to be both highly available and constantly evolving. If you're someone who gets energized by the intersection of scale, reliability, and developer experience — and wants ownership over infrastructure that truly matters — we'd love to talk. What you'll bring: Deep experience with distributed systems and large-scale backend architecture Strong instincts around reliability, observability, and fault tolerance Comfort reasoning about performance, capacity, and trade-offs at scale Experience with event-driven systems, message queues, or data pipelines is a plus A collaborative mindset — you raise the team around you About Customer.io Over 9,000 companies - from scrappy startups to global brands - use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data. Under the hood: Go, React, Ember and AI help us ship fast and scale with confidence. What We Value Ownership You drive technical direction across systems and teams. You move with urgency, build with empathy, and think long-term. You’ve led large-scale infrastructure initiatives and know what it takes to get them over the line. Engineers with customer focus You think about how infrastructure unlocks customer value. You care about developer experience, system design, and how your work shapes the customer experience. A healthy disregard for “the way things are done” You bring rigor and creativity. Best practices matter, but never more than forward motion. What You’ll Do Design and evolve distributed systems in Go to handle billions of daily events and messages and store and index petabytes of data Lead architectural decisions around performance, reliability, and real-time event processing Improve service-to-service communication through better APIs, messaging systems, and event-driven patterns Work across teams to uncover bottlenecks and system issues, and lead initiatives to resolve them for a smoother customer experience Tackle high-throughput challenges across data pipelines, queues, and scheduling infrastructure Able to debug production systems at scale using effective instrumentation, and resolve issues quickly and confidently Participate in an on-call rotation as required, supporting the reliability of the systems you build Share knowledge and raise the bar through sharing your progress publicly with short videos, thoughtful writing, and mentorship Leverage AI tools to prototype, move faster, and make better decisions What we're looking for Significant experience (typically 10+ years) building scalable, distributed systems in Go (or similar statically typed languages) Deep experience with databases - relational (MySQL, Postgres) and non-relational (DynamoDB, BigTable) - and how to make them fast Comfort working in cloud-native environments (AWS, GCP) Familiarity with APIs, observability, and operating production systems A bias for action over perfection, and pride in owning technical decisions Compensation & Benefits We believe in transparency. Starting salary for this role is $150,000 - $200,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build. We know our people are what make us great, and we’re committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family. We also offer 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more. See full benefits here → Our Process No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision. Application - We review everyone with care. Tell us why you're interested. Recruiter Call (30 mins) - Let’s chat about what you’re looking for and how we work. Hiring Manager Interview (60 mins) - Talk with one of our hiring managers about your working style and a project you've owned end-to-end, plus a short AI-assisted coding exercise. System Design Interview (60 mins) - A collaborative system design conversation focused on scaling challenges. Coding Interview (60 mins) - Pair with one of our engineers for an agentic live coding interview. All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process. Customer.io recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact. Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official Customer.io letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact jobs@customer.io . Join us! We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you’re excited by what you read and want to build software that makes communication better for everyone—apply now.

Задачи: — Управлять, развивать и поддерживать портфель партнеров по аффилиат-маркетингу. — Привлекать новых партнеров, вести переговоры по контрактам и обеспечивать качественный трафик. — Анализировать данные о производительности для оптимизации кампаний. Требования: — Опыт работы в аффилиат-маркетинге в сфере iGaming не менее 2 лет. — Опыт в онлайн-маркетинге или продажах. — Свободное владение английским языком и сильные навыки ведения переговоров. Условия: — Работа в офисе в Лимассоле, Кипр. — Зарплата от 4000 до 5000 евро брутто в месяц плюс бонусы. — Возможность спонсорства визы для подходящих кандидатов.

Location: Hybrid - San Francisco, New York City, Austin About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role As a Senior Technical Account Manager, you’ll be the named technical owner for the mission-critical workload that anchors a strategic enterprise customer’s Vercel relationship, across a portfolio of concurrent accounts. You’ll work as a peer to customers’ VPs of Engineering and CTOs, take over the post-sales technical relationship from the Solutions Architect through a structured handover, and coordinate every Vercel team on the account, including Support, Engineering, Product, and Sales. Customers buy this engagement, so success is measured by renewal: your proactive architecture and cost work should be worth more than what the customer pays for it. The role has no on-call rotation, no production code, and no sales quota. This is a hybrid role with 3 in-office days per week in San Francisco, New York City, or Austin. What you’ll do Own the post-sales technical relationship for a portfolio of enterprise accounts, running weekly calls, monthly and quarterly business reviews, and an annual roadmap workshop Co-own each account with the Account Executive: you own the technical relationship and the technical case for renewal Take ownership of escalated incidents and recurring patterns, driving post-mortems, root-cause analysis, and remediation roadmaps, and respond to P1 and P2 escalations within 4 business hours Run proactive architecture reviews, technical risk mapping, cost and usage optimization, and pre-launch readiness assessments Scope and coordinate Forward Deployed Engineering, audits, workshops, and Professional Services projects on your accounts, and relay customer needs to Product and Engineering What you need 5+ years in a customer-facing technical role at a platform, infrastructure, or developer tools company (TAM, Solutions Architect, Developer Success, Field Engineer, or technical consultant), owning strategic customer relationships including QBRs and renewals Ran a technical platform at scale in a customer-facing role, with fluency in CI/CD pipelines, preview environments, release mechanics, and cost and performance patterns Production architecture experience on AWS, GCP, or Azure Ramped quickly on an unfamiliar technical product and earned customer trust Can write a one-page executive summary of a complex technical situation for customer leadership Willing to travel 4 to 8 times per year to customer offices, generally in-region Bonus if you Worked as a Technical Account Manager at a hyperscaler, infrastructure platform, or developer tools company Built AI agents with the Vercel AI SDK, MCP servers, or similar frameworks Run an annual roadmap workshop or Well-Architected Review-style engagement with an enterprise customer The San Francisco, CA base pay range for this role is $163,000-$204,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: San Francisco Workplace: onsite About Unlimit Unlimit is the global financial infrastructure for the borderless agentic economy. Designed to bridge the gap between fragmented local markets and the future of autonomous commerce, Unlimit provides the programmable operating layer for the world’s most ambitious businesses. Through an integrated technology stack, the platform unifies global payment acceptance, programmable financial accounts, and digital asset rails into a singular financial layer. By mapping hyper-local payment ecosystems directly into its architecture, Unlimit enables businesses to move value and settle transactions instantly across continents. Built on decades of hard-won regulatory depth and an extensive global license portfolio, the platform provides direct access to a massive global infrastructure. With major hubs in London, San Francisco, Singapore, São Paulo, and Mexico City, Unlimit is building the infrastructure that makes global expansion a matter of code, not geography. About the Role As an Account Manager, you will play a key role in driving growth and strengthening relationships across Unlimit’s merchant portfolio in the US market. This is a high-impact, revenue-focused role designed for someone who excels at building trusted partnerships, identifying growth opportunities, and delivering value to our clients. You won’t just manage accounts; you will become a strategic partner to our merchants by developing long-term account plans, uncovering opportunities to expand our acquiring solutions, and helping our partners succeed in an evolving digital payments landscape. What You’ll Do Act as the lead consultant for key merchants and payment partners, aligning Unlimit’s innovative suite of products with their long-term business objectives. Drive the commercial evolution of your portfolio by identifying high-value opportunities for expansion, integration, and cross-functional solution adoption. Leverage deep data analytics to provide partners with actionable insights, optimizing their performance and reinforcing Unlimit’s position as an indispensable growth catalyst. Collaborate with Global Product, Risk, and Engineering teams to refine the merchant journey, ensuring our infrastructure anticipates the needs of the US market. Represent Unlimit at the highest levels of industry engagement, embodying our commitment to "unlimiting" business potential through trust, expertise, and personalized ownership. Expertly navigate complex stakeholder environments, balancing high-stakes priorities with a focus on flawless execution and fiscal excellence. Who You Are 3+ years of sophisticated experience in Payments, Acquiring, or Fintech Partnerships. You don’t just know the industry; you understand its future. A proven track record of growing multi-million dollar portfolios through strategic upselling and value-based negotiation. You possess the ability to translate complex data sets into compelling narratives that drive executive decision-making. A proactive, resilient self-starter who thrives in high-velocity environments and views challenges as opportunities for innovation. A high-EQ collaborator who brings energy to the team and champions a culture of high performance, inclusivity, and professional excellence. What We Offer Attractive remuneration package Vacation, sick, and paid holidays A modern office-based workplace with all necessary equipment located in Palo Alto, CA A team of top international professionals to learn from Multicultural working environment, growing opportunities, and many more Join Unlimit Team now!   Unlimit is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief.

Задачи: — Владеть и управлять маркетинговыми операциями на датском рынке — Реализовывать и развивать локальную маркетинговую стратегию с учётом культурных, языковых и поведенческих особенностей целевой аудитории — Координировать кампании и рабочие процессы между внутренними командами и внешними партнёрами — Руководить локализацией креативов, сообщений и позиционированием бренда — Тесно сотрудничать с командами аффилиатов, продукта, performance, PR и платформы — Представлять бренд локально и строить партнёрства — Вносить вклад в PR-инициативы и выступать в роли локального амбассадора бренда — Анализировать рыночные показатели и принимать решения на основе данных — Обеспечивать гладкое выполнение всех текущих маркетинговых активностей Требования: — Опыт работы в цифровом маркетинге от 5 лет — Опыт на руководящих позициях (senior/lead) с ответственностью за локальный рынок от 2 лет — Опыт работы в iGaming, беттинге или других конкурентных цифровых вертикалях — Сильные навыки операционного маркетинга и управления проектами — Подтверждённый опыт работы с агентствами, партнёрами и кросс-функциональными командами — Умение оценивать креативы и адаптировать коммуникацию под локальную аудиторию — Сильный аналитический склад ума и принятие решений на основе данных — Опыт работы на регулируемых рынках будет плюсом Языки: — Датский — родной / свободный — Английский — Upper-Intermediate и выше Условия: — Полная занятость — Локация: Дания с возможностью релокации или удалённая работа

Location: New York; Paris; London ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About the Role Mistral is seeking a Senior Product Marketing Manager, Industries to support verticalized go-to-market (GTM) initiatives. You will own the development and execution of industry-specific solutions marketing, enabling Mistral to scale and win in high-priority verticals such as manufacturing, finance, and more.   This role is ideal for a strategic thinker who excels at translating industry insights into actionable GTM content and campaigns. You will collaborate cross-functionally with Product, Sales, and Marketing teams to position Mistral as the leader in AI solutions for key industries.   Key Responsibilities Industry Solutions Marketing - Own Industries Marketing for high-priority verticals (e.g. manufacturing, finance), driving messaging, positioning, and GTM content. - Develop and launch complete GTM collateral (pitch decks, sales enablement, blogs, web pages) - Drive integrated campaigns to educate and engage target audiences, supporting demand generation and pipeline growth. Cross-Functional Collaboration - Partner with global Product, Forward Deployed Engineers (FDE's), Sales, and Marketing teams to design, activate, and refine industry-specific solutions. - Channel market and customer feedback to shape product and GTM strategy. Content & Enablement - Create scalable, repeatable use cases and content (e.g., demos, case studies) to empower field teams. - Act as a go-to partner for sales and FDE teams, ensuring consistent, compelling industry narratives. Market & Competitive Intelligence - Monitor industry trends and competitive dynamics to inform product and solutions planning. - Identify and scale repeatable solutions content to accelerate deal cycles.   Who You Are - 5+ years experience in industry solutions, product, or growth marketing, with experience in SaaS, AI, or enterprise technology. - MBA or advanced degree in Marketing, Business, or related field preferred. - Proven track record of launching industry-specific GTM strategies and content. - Strong storytelling skills: ability to simplify complex technical value for diverse audiences. - Collaborative leader with experience aligning cross-functional teams (Product, Sales, Marketing). - Familiarity with global systems integrators (GSIs) and partner ecosystems is a plus. - Self-starter who thrives in fast-paced, innovative environments. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Limassol Cyprus Workplace: OnSite Scorewarrior is a game developer and publisher based in Limassol, Cyprus. The company focuses on the 4X strategy genre, with an ambitious goal to grow its hit game, Total Battle, to become the No.1 strategy game in the world. Our team consists of 200+ passionate, talented, self-driven, and continually developing professionals who love making high-quality games. Our product: We are currently working on Total Battle — an MMO 4X strategy game with a deep political system and lots of player interaction. Players take on the role of a commander and need to develop their city, forge alliances, fight against monsters, and conquer other players. We're constantly developing new game mechanics, and the project is continuing to grow.   We are looking for a Senior Backend Developer to join the Framework Team building tools used by fellow engineers and powering game services across the company. You will work with modern C++ (17/20), asynchronous systems, network communications (S2S), high-load services, and distributed architectures.   WHAT DO WE DO: - Design and develop core SDK/framework modules with clean abstractions to enable simple, fast, and high-quality game logic development. - Gather requirements and design APIs, protocols, and service-to-service interaction contracts. - Build asynchronous and multithreaded code with high performance in mind. - Work with S2S communications: idempotency, transactions, and guaranteed delivery in distributed systems. - Design and evolve ORM and data persistence layers (PostgreSQL, Redis). - Ensure scalability, stability, and fault tolerance of backend services. - Work with legacy code—simplify, refactor, and increase reliability without downtime or production risks. - Implement observability: metrics, logs, tracing. - Improve developer tools and DevEx — CMake, Conan, Python tooling, CI/CD scripts, Docker. - Participate in code reviews, architectural discussions, mentoring, and R&D exploration.   WHAT WE EXPECT: - Ability to gather requirements, design solutions, break down work, and deliver to production independently. - 3+ years of backend development experience on a statically typed language under Linux. - 3+ years of commercial experience with C++17/20. - Strong knowledge of asynchrony and multithreading (threads, futures, coroutines, atomics). - Understanding of network communication (REST/RPC (gRPC), HTTP, WebSocket, TCP). - Hands-on experience with PostgreSQL (DDL/DML, transactions, indexes, migrations). - Solid software design skills: Software Design, SOLID, Clean Code, IoC/DI, composition, GoF patterns. - Experience working with distributed and high-load systems. - Understanding of System Design: scaling, degradation, caching, SLA/SLO/SLI. - Experience with CI/CD, containers, and build systems (CMake, Docker, Jenkins/GitLab). - Familiarity with testing and performance tools (GTest, Valgrind, Perf, Sanitizers). - English - B1 or higher, Russian - B2 or higher.   WHAT WE OFFER: - The best team in the world! - An excellent remuneration package, including a 13th salary. - Relocation package for you and your family to Cyprus (Limassol). - A modern and sunny office close to the sea. - Private health insurance for you and your family members. - A monthly pre-school, school, and university allowance for employees' children. - Lunch compensation and a sports and fitness allowance. - Personal development opportunities paid for by the company: professional and language courses, books, etc. - Bonuses for outstanding results, years worked, getting married, and the birth of a child. - Friendly monthly office parties and epic, annual offsite company birthday and Christmas parties.

Location: Сортавала Ищешь работу с возможностью карьерного развития и роста? Сбер раскроет твой карьерный потенциал! Откликайся! Обязанности * консультировать клиентов по всем продуктам и услугам Сбера, включая ипотеку * продавать банковские продукты и услуги * обучать клиентов пользоваться сервисами и продуктами Сбера * проводить кассовые операции: прием, выдача, обмен денег. Требования * имеешь образование среднее и выше * доброжелателен и готов помогать клиентам * активно используешь гаджеты и программы MS Office * готов использовать искусственный интеллект в ежедневной работе (обучение за счёт компании — есть свои курсы). Условия * ежемесячная, годовая премия и ежегодный пересмотр зарплаты * возможность влиять на свой доход * быстрый старт карьеры для тех, кто без опыта * работа в офисе нового формата рядом с домом или местом учебы * корпоративный планшет для комфортной работы * уникальная система онлайн обучения Сбера для карьерного развития и роста  * расширенный ДМС и льготное страхование для семьи * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ. Будет преимуществом опыт работы в компаниях: Россельхозбанк, Росбанк, Совкомбанк, ГазпромБанк Яндекс, Ozon, Wildberries, Деловые Линии, ВТБ, Альфа-Банк, Тинькофф Банк, МТС, Билайн, Мегафон, Ростелеком. #начало\_карьеры #работа\_без\_опыта #менеджер\_по\_продажам #консультант #менеджер\_по\_обслуживанию #обслуживание\_физических\_лиц #менеджер #специалист\_банка #работа\_для\_начинающих #консультирование #кредитные\_продукты #продажи #страхование #вклады #ипотека #кредиты #касса #работа\_с\_наличными #банковские\_ценности #прием\_платежей

Location: Cyprus - Remote Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: You'll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. As the leading collaborative work management platform, Wrike generates an enormous amount of rich, interconnected data, including work item content, relationships between entities, complex business processes, user interactions, and direct user input. The mission of the DS/ML department is to transform this data into intelligent, AI-powered capabilities that help users gain deeper insights, automate routine work, enhance productivity, and create a more seamless work experience. As a Data Scientist in the Work Intelligence Unit, you will play a key role in product development through the application of state-of-the-art AI and machine learning technologies with a particular focus on leveraging Large Language Models and other emerging technologies. You will work on both user-facing AI features and foundational intelligence platform that power intelligent experiences across the product. Your Impact: Creating new and improving existing AI solutions Involvement in the whole process of data-driven development from analyzing product requirements to launching the feature or system to production (with the help of MLOps specialists) and improving it based on results of monitoring and feedback Communicating with fellow data scientists, product owners, and developers Applying best software engineering practices to build a reliable codebase Performing code reviews Working in agile environment and presenting the results of your work on regular sprint reviews Your Qualifications: 4+ years of experience in AI,  Data Science, and Machine learning Experience in LLMs, LLM-based APIs, prompting techniques, metric-driven development of prompt-based features, agentic systems, and other related topics Experience in building complex multipart and multistep LLM-based and ML systems Proficiency in Python (including pure Python, and not only jupyter notebooks) Experience in using reproducible research techniques Experience in developing AI solutions for production usage Full professional proficiency in English Standout Qualities: Experience in AI and ML solutions related to one of the areas: social networks, recommendation systems, ranking, entity matching, process mining, system personalization, risk estimation Confident statistical and machine learning skills Experience in creating core AI systems that are foundational to the product and are used in many parts of it Experience in classical software development and architecture Interpersonal skills: Excellent interpersonal, written, and verbal communication skills required with the ability to work within all levels of an organization. You are proactively pushing yourself to develop your skills and knowledge Decision making and argumentation skills Open to feedback and ready to react on it Ability to work autonomously on a project level Our Work Style: Code: Python, Jupyter, mypy, uv, black, flake8 Data: pandas, SQL, BigQuery GenAI & LLMs: Langchain, Azure OpenAI, Gemini, Vertex AI, Braintrust LLM Platform: Versioned Prompt Registry(jinja2), Declarative LLM Feature Configs (multi-step workflows, model routing) ML: scikit-learn, lightgbm, pytorch Cloud: GCP, Dagster, MLFlow Coding Agents: Claude Code, Codex, Cursor Team Dynamics: As part of Wrike’s AI center of excellence — you will help scale AI feature development across teams by collaborating closely with product, engineering, design, research, and other departments across the organization. You will explore new AI-driven opportunities, validate hypotheses through experimentation, and drive innovations from research prototypes to production-ready capabilities that deliver tangible value to millions of users. Benefits & Perks: 25 working days of paid vacation Sick Leave Compensation (5 Uncertified + 10 Certified Days) Parental Leave: Fully Paid Maternity / 4 Weeks Paid Paternity 2 Volunteer Days Medical Insurance (Employees + Dependents) Life Insurance (Employees) Provident Fund Hybrid Working Model School Allowance (Up to €600/month for school aged kids) Simcard w/ Unlimited Internet Access for active employees Office Lunch Allowance (via Wolt) on Wednesdays / Thursdays Work Permit, Blue Card & Naturalization Support What’s Next? Introduction Call with a Recruiter Technical interview Cultural interview Your recruitment buddy will be Alexandra Vorobyova , Lead Recruiter. #LI-AV1 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗  Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.

Location: Nicosia Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: You'll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. As the leading collaborative work management platform, Wrike generates an enormous amount of rich, interconnected data, including work item content, relationships between entities, complex business processes, user interactions, and direct user input. The mission of the DS/ML department is to transform this data into intelligent, AI-powered capabilities that help users gain deeper insights, automate routine work, enhance productivity, and create a more seamless work experience. As a Data Scientist in the Work Intelligence Unit, you will play a key role in product development through the application of state-of-the-art AI and machine learning technologies with a particular focus on leveraging Large Language Models and other emerging technologies. You will work on both user-facing AI features and foundational intelligence platform that power intelligent experiences across the product. Your Impact: Creating new and improving existing AI solutions Involvement in the whole process of data-driven development from analyzing product requirements to launching the feature or system to production (with the help of MLOps specialists) and improving it based on results of monitoring and feedback Communicating with fellow data scientists, product owners, and developers Applying best software engineering practices to build a reliable codebase Performing code reviews Working in agile environment and presenting the results of your work on regular sprint reviews Your Qualifications: 4+ years of experience in AI,  Data Science, and Machine learning Experience in LLMs, LLM-based APIs, prompting techniques, metric-driven development of prompt-based features, agentic systems, and other related topics Experience in building complex multipart and multistep LLM-based and ML systems Proficiency in Python (including pure Python, and not only jupyter notebooks) Experience in using reproducible research techniques Experience in developing AI solutions for production usage Full professional proficiency in English Standout Qualities: Experience in AI and ML solutions related to one of the areas: social networks, recommendation systems, ranking, entity matching, process mining, system personalization, risk estimation Confident statistical and machine learning skills Experience in creating core AI systems that are foundational to the product and are used in many parts of it Experience in classical software development and architecture Interpersonal skills: Excellent interpersonal, written, and verbal communication skills required with the ability to work within all levels of an organization. You are proactively pushing yourself to develop your skills and knowledge Decision making and argumentation skills Open to feedback and ready to react on it Ability to work autonomously on a project level Our Work Style: Code: Python, Jupyter, mypy, uv, black, flake8 Data: pandas, SQL, BigQuery GenAI & LLMs: Langchain, Azure OpenAI, Gemini, Vertex AI, Braintrust LLM Platform: Versioned Prompt Registry(jinja2), Declarative LLM Feature Configs (multi-step workflows, model routing) ML: scikit-learn, lightgbm, pytorch Cloud: GCP, Dagster, MLFlow Coding Agents: Claude Code, Codex, Cursor Team Dynamics: As part of Wrike’s AI center of excellence — you will help scale AI feature development across teams by collaborating closely with product, engineering, design, research, and other departments across the organization. You will explore new AI-driven opportunities, validate hypotheses through experimentation, and drive innovations from research prototypes to production-ready capabilities that deliver tangible value to millions of users. Benefits & Perks: 25 working days of paid vacation Sick Leave Compensation (5 Uncertified + 10 Certified Days) Parental Leave: Fully Paid Maternity / 4 Weeks Paid Paternity 2 Volunteer Days Medical Insurance (Employees + Dependents) Life Insurance (Employees) Provident Fund Hybrid Working Model School Allowance (Up to €600/month for school aged kids) Simcard w/ Unlimited Internet Access for active employees Office Lunch Allowance (via Wolt) on Wednesdays / Thursdays Work Permit, Blue Card & Naturalization Support What’s Next? Introduction Call with a Recruiter Technical interview Cultural interview Your recruitment buddy will be Alexandra Vorobyova , Lead Recruiter. #LI-AV1 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗  Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.

Location: Czech Republic - Remote Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: You'll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. As the leading collaborative work management platform, Wrike generates an enormous amount of rich, interconnected data, including work item content, relationships between entities, complex business processes, user interactions, and direct user input. The mission of the DS/ML department is to transform this data into intelligent, AI-powered capabilities that help users gain deeper insights, automate routine work, enhance productivity, and create a more seamless work experience. As a Data Scientist in the Work Intelligence Unit, you will play a key role in product development through the application of state-of-the-art AI and machine learning technologies with a particular focus on leveraging Large Language Models and other emerging technologies. You will work on both user-facing AI features and foundational intelligence platform that power intelligent experiences across the product. Your Impact: Creating new and improving existing AI solutions Involvement in the whole process of data-driven development from analyzing product requirements to launching the feature or system to production (with the help of MLOps specialists) and improving it based on results of monitoring and feedback Communicating with fellow data scientists, product owners, and developers Applying best software engineering practices to build a reliable codebase Performing code reviews Working in agile environment and presenting the results of your work on regular sprint reviews Your Qualifications: 4+ years of experience in AI,  Data Science, and Machine learning Experience in LLMs, LLM-based APIs, prompting techniques, metric-driven development of prompt-based features, agentic systems, and other related topics Experience in building complex multipart and multistep LLM-based and ML systems Proficiency in Python (including pure Python, and not only jupyter notebooks) Experience in using reproducible research techniques Experience in developing AI solutions for production usage Full professional proficiency in English Standout Qualities: Experience in AI and ML solutions related to one of the areas: social networks, recommendation systems, ranking, entity matching, process mining, system personalization, risk estimation Confident statistical and machine learning skills Experience in creating core AI systems that are foundational to the product and are used in many parts of it Experience in classical software development and architecture Interpersonal skills: Excellent interpersonal, written, and verbal communication skills required with the ability to work within all levels of an organization. You are proactively pushing yourself to develop your skills and knowledge Decision making and argumentation skills Open to feedback and ready to react on it Ability to work autonomously on a project level Our Work Style: Code: Python, Jupyter, mypy, uv, black, flake8 Data: pandas, SQL, BigQuery GenAI & LLMs: Langchain, Azure OpenAI, Gemini, Vertex AI, Braintrust LLM Platform: Versioned Prompt Registry(jinja2), Declarative LLM Feature Configs (multi-step workflows, model routing) ML: scikit-learn, lightgbm, pytorch Cloud: GCP, Dagster, MLFlow Coding Agents: Claude Code, Codex, Cursor Team Dynamics: As part of Wrike’s AI center of excellence — you will help scale AI feature development across teams by collaborating closely with product, engineering, design, research, and other departments across the organization. You will explore new AI-driven opportunities, validate hypotheses through experimentation, and drive innovations from research prototypes to production-ready capabilities that deliver tangible value to millions of users. Benefits & Perks: 5 Weeks of paid vacation Sick Leave Compensation 5 Paid Uncertified Sick Days 2 weeks fully paid w/ medical certificate, additional 4 weeks paid at 80% salary rate Parental Leave (fully paid): 18 Weeks Maternity / 4 Week Paternity 2 Volunteer Days Meal Vouchers (CZK 220 per working day) Annual Prague Travel Card (Lítačka) Hybrid Working Model Benefit budget with flexible options, including a MultiSport card, Canadian Medical membership, contributions to a pension savings plan and additional choices available through Benefit Plus What’s Next? Introduction Call with a Recruiter Technical interview Cultural interview Your recruitment buddy will be Alexandra Vorobyova , Lead Recruiter. #LI-AV1 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗  Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.

Location: Larnaca, Cyprus This is an onsite role, and we're seeking someone who will work directly from the client's office in Nicosia. Relocation conditions: A 2,000-euro relocation bonus (3,000 euros if relocating with family). This project focuses on enabling enterprise grade AI and GenAI capabilities across banking systems by implementing robust MLOps practices and cloud native infrastructure. The goal is to standardize how AI models are deployed, monitored, and governed in a secure and compliant way. Design and maintain CI/CD and MLOps pipelines for AI/ML solutions. Deploy and operate AI workloads on Azure Machine Learning, Azure OpenAI, AKS, Azure Functions, and Azure DevOps. Automate infrastructure using Terraform, Bicep, or ARM templates. Implement secure deployment practices: RBAC, Key Vault, managed identities, private endpoints, network isolation. Set up monitoring, logging, alerting, and operational support for AI services and model endpoints. Support model versioning, release management, rollback, and production governance. Work closely with data scientists, AI engineers, cloud architects, security, and banking IT teams. Ensure solutions meet banking standards for security, auditability, resilience, and compliance. 7+ years of DevOps, Cloud Engineering, Platform Engineering, or related experience. Strong experience with Azure DevOps, CI/CD pipelines, Git, YAML, and release management. Experience with Azure Machine Learning and/or MLOps platforms. Practical knowledge of Azure OpenAI, GenAI applications, or AI service deployment. Experience with Docker, Kubernetes, and AKS. Experience with Infrastructure as Code: Terraform, Bicep, or ARM. Good understanding of monitoring tools such as Azure Monitor, Application Insights, Log Analytics, Grafana. Scripting skills in PowerShell, Python, or Bash. Experience working in regulated enterprise environments, preferably banking, fintech, or insurance. Experience with RAG pipelines, prompt orchestration, MLflow, or Prompt Flow. Knowledge of Microsoft data platforms: Databricks, Synapse, Data Factory, Microsoft Fabric, Purview. Understanding of AI governance, model risk, data privacy, and audit requirements. Experience with Microsoft security tools such as Defender for Cloud or Sentinel.