Role overview: We are looking for a Group Product Manager to lead Platform Experience within Nebius AI Cloud. Platform Experience is the unified customer and developer experience across the platform. The group is responsible for reducing time-to-first-value, creating a predictable path from PoC to production, and ensuring that Nebius feels like one consistent platform across APIs, developer tools, documentation, AI assistance, notifications, quotas, and the resource model. You will lead a team of Product Managers, set the direction across several connected product areas, and align their roadmaps around shared customer and business outcomes. You will work closely with Engineering, Customer Experience, GTM, and product teams across Nebius.
What you'll do:
— Define the vision, product strategy, success metrics, and investment priorities for Platform Experience.
— Lead and grow a team of Product Managers, establishing clear ownership and strong product practices across the group.
— Create a consistent, API-first and agentic-first developer experience across CLI, Terraform, SDKs, public APIs, documentation, and Nebius Echo.
— Reduce time-to-first-value and make the path from PoC to production predictable through clear end-to-end journeys, actionable errors, and effective guidance.
— Lead the evolution of capacity and quota management and the resource model required for enterprise, partner, multi-region, and multi-tenant use cases.
— Build a unified approach to customer-facing notifications and communications, including maintenance, incidents, and multi-product events.
— Collaborate with Engineering, Customer Experience, GTM, and product teams to align roadmaps with customer and business outcomes.
Requirements:
— 7+ years of Product Management experience, including experience leading and developing Product Managers.
— Experience owning a portfolio or product group spanning multiple technically complex products and teams.
— A strong background in cloud infrastructure, developer platforms, enterprise SaaS, or another technical B2B domain.
— Enough technical depth to work with engineering leaders on APIs, developer tooling, resource models, multi-tenancy, and distributed platform systems.
— Strong product strategy, customer discovery, analytical, and executive stakeholder management skills.
— Bonus: Experience with public APIs, infrastructure-as-code tools, developer documentation, or AI-assisted developer experiences.
— Familiarity with GPU infrastructure, AI/ML workloads, or capacity-constrained cloud products.
Who you are:
— Strategic thinker with a track record of delivering multi-product platforms.
— Collaborative leader who can grow and mentor a team of Product Managers.
— Customer-centric with strong analytical and communication skills.
Tech stack:
Experience spanning APIs, CLI, Terraform, SDKs, public APIs, documentation, and developer tooling; familiarity with capacity and quota management, multi-tenant architectures, and distributed platform systems.
Team description:
Lead a group of Product Managers focused on Platform Experience, coordinating with Engineering, Customer Experience, GTM, and other product teams to deliver a cohesive developer and customer experience across Nebius AI Cloud.
Benefits & Perks:
— Competitive compensation
— Career growth and learning opportunities
— Flexibility and ownership
— Collaborative and innovative culture
— Opportunity to work on impactful AI projects
— International environment and talented teams
Equal Opportunity Statement:
Nebius is an equal opportunity employer committed to fostering an inclusive and diverse workplace and providing equal employment opportunities in all aspects of employment. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.
Zexter is an ambitious product company building its own technological ecosystem in the iGaming industry. They develop a proprietary platform that is live and actively operating, continuously expanding their product portfolio to adapt quickly to market demands and introduce new innovations.
Requirements:
— 4+ years of commercial backend development experience with Node.js and TypeScript.
— 4+ years of hands-on production experience with PostgreSQL and other relational databases.
— Strong SQL expertise including query optimization for high-load systems, index design and performance analysis, transaction management and concurrency control, and identifying and resolving database performance bottlenecks.
— 3+ years of commercial experience with NestJS.
— Excellent understanding of Dependency Injection, modular application architecture, Clean Architecture and software design principles, REST API design, and backend service architecture.
— Experience developing and maintaining high-load production systems.
— Solid experience with automated testing (unit/component and integration tests).
— Experience with load and performance testing, including bottleneck identification and validating system behavior under heavy traffic.
— Experience working on systems where financial accuracy, idempotency, transaction consistency, and auditability are critical.
— Ability to write clean, maintainable, testable, and well-structured code.
— Strong ownership mindset, taking responsibility for features from implementation and testing through deployment, monitoring, and production incident resolution.
— Strong communication skills to clearly explain technical decisions, implementation details, and associated risks.
— Ability to work effectively under deadlines and independently prioritize tasks.
— Experience with code reviews, debugging, logging, monitoring, and production incident investigation.
iGaming Experience:
— Commercial experience in the iGaming industry.
— Experience developing or maintaining backend systems for online casinos, sports betting, gaming platforms, wallets, payment systems, or transaction processing.
— Experience integrating third-party game providers, payment gateways, or other external services.
— Ability to investigate and resolve discrepancies in financial data, transactions, and provider integrations.
— Strong understanding of reliability, security, and data consistency requirements of production iGaming systems.
Nice to Have:
— Practical experience using AI-powered developer assistants (Cursor, Claude, or similar).
— Experience with Redis, message queues, background jobs, and event-driven architecture.
— Experience with Docker, Kubernetes, CI/CD pipelines, and cloud infrastructure.
Conditions:
— Work format: Fully remote.
— Compensation: Negotiable based on experience.
— Growth: Opportunity to work with a modern technology stack, a strong engineering team, minimal bureaucracy, and AI-powered development tools that help eliminate routine work.
Responsibilities
Underwriting Framework and Credit Policy:
— Design the fund's underwriting framework from scratch: credit policy, underwriting standards, rating and scoring methodology, credit memo templates, and approval workflows — built for LP diligence from day one.
— Build the data edge into the process: integrate Xsolla's payments telemetry and game-revenue data into underwriting as a durable information advantage.
Deal Underwriting and Structuring:
— Lead the underwriting of lending facilities to game studios and gaming businesses: financial analysis, revenue durability, downside cases, and recovery analysis.
— Structure facilities: term loans, revolvers, royalty- and revenue-based structures — including covenants, collateral packages, borrowing bases, and pricing.
— Draft and negotiate term sheets and credit documentation with borrowers alongside external counsel.
Credit Committee and Governance:
— Stand up and run the credit committee process: present transactions, document decisions, and maintain an audit trail that stands up to LP and auditor scrutiny.
— Establish portfolio monitoring: watchlist discipline, covenant tracking, and a workout playbook as the portfolio builds.
LP Diligence and Fundraising Support:
— Be the credit face of the fund: appear in fund materials and LP meetings as the fund's credit authority; own underwriting answers in LP due diligence.
— Support capital formation: help shape the fund's risk-return narrative, portfolio construction guidelines, and track-record presentation.
Credit Playbook and Team Building:
— Codify the credit playbook: standards, templates, and documentation that make the fund's underwriting repeatable and audit-ready.
— Build the bench: as the fund scales, hire and mentor the junior credit team — analysts, associates, and in time a portfolio/risk officer.
Qualifications and Skills
Experience:
— 7+ years in private credit, direct lending, specialty finance, or leveraged finance, with personal responsibility for underwriting and closing institutional credit transactions.
— Experience at an early-stage or first-time credit fund — credit policy written from scratch, LPA input, first LP diligence — is strongly preferred.
— Lending against media, IP, royalties, recurring digital revenue, or gaming businesses is a strong plus.
— A track record you can walk LPs through: deals underwritten, structures used, and how they performed — including the ones that went wrong and what you did about it.
Skills and Competencies:
— Deep fluency in credit analysis, financial modeling, covenant design, collateral structures, and credit documentation.
— The gravitas to sit across from LPs, investment committees, and founders — and the judgment to say no to a deal.
— Enjoys mentoring junior team members and building a strong credit culture as the team grows.
— Comfort operating in a lean, fast-moving team where you build the machine you then operate.
Education and Credentials:
— A bachelor's degree in finance, economics, business, or a related field; an MBA and/or a CFA charter is preferred.
Benefits:
— 100% company-paid medical, dental, and vision plans.
— Unlimited Flexible Time Off.
— Personalized career roadmap for each employee.
— Professional development through training and educational opportunities.
— Supportive environment prioritizing physical, mental, and emotional well-being of employees and their families.
About Welltory
Welltory is a leading wellness app with over 17 million downloads in 130+ countries — mostly in the US — and more than 200,000 five-star ratings. Their creative team tests new hooks, messages, and visual approaches for TikTok, Meta, YouTube, and other performance channels. AI is integrated into their production process for finding visual solutions and generating material.
Задачи:
— создавать и анимировать performance-креативы по сценариям и раскадровкам
— самостоятельно находить визуальные решения для сцен без готового исходного материала
— создавать AI-сгенерированные изображения и видео и комбинировать их с живым видео, стоковыми материалами и интерфейсами
— анимировать интерфейсы приложения Welltory, Apple Watch и других устройств
— работать с трекингом, композитингом, маскингом, ротоскопингом и визуальными эффектами
— заниматься монтажом, звуковым дизайном и финальной сборкой
— создавать новые версии успешных креативов и тестировать новые идеи с командой
— пробовать новые AI-инструменты и внедрять их в производство для повышения скорости и качества работы
Требования:
— коммерческий опыт в motion design от 1 года
— уверенное владение Adobe After Effects, Graph Editor, трекингом и композитингом
— хорошее чувство анимации, тайминга, ритма и композиции
— умение реалистично интегрировать UI в устройства и живое видео
— базовые навыки Photoshop и Figma
— понимание монтажа и звукового дизайна
— опыт или интерес к AI-генерации изображений и видео, способность быстро осваивать новые инструменты
— понимание performance-рекламы: важность первых секунд, работа с хуками, отличие эффективного креатива от просто красивого
— самостоятельность в выполнении задач без детальных инструкций, умение находить решения и работать через тесты и итерации
Желательно:
— опыт performance-маркетинга, платных соцсетей или мобильных приложений
— опыт создания рекламы для TikTok, Meta или YouTube
— навыки работы с Blender, Cinema 4D или другими 3D-выражениями и автоматизацией рутинных задач
— опыт в сфере здоровья, wellness или потребительских приложений
Условия:
— гибкий график и культура доверия, ориентированная на результат
— конкурентная зарплата, бонусы по результатам и опционы
— 50% субсидия на оборудование после 6 месяцев
— доступ к терапевту и программе поддержки сотрудников
— медицинская страховка
— поддержка личного обучения и развития
— неограниченный отпуск
— культура открытости, честности и высоких стандартов
Процесс найма:
— просмотр портфолио
— тестовое задание
— интервью с HR
— интервью с креативной командой
Responsibilities:
— Deliver fun and interactive Python Programming lessons using provided materials.
— Develop your own skills under the guidance of experienced Kodland teachers.
— Share feedback about lessons with the Kodland team.
— Regularly monitor student progress and help improve the learning experience.
— Be a positive representative of Kodland and contribute creative ideas to support students.
— Attend all training and support sessions provided throughout the hiring process.
— Join the team and experience the joy of teaching with Kodland.
What you’ll do:
— Teach Python to children aged 5 to 17, helping them create their first projects and take their first steps into programming.
Who you are:
— Passionate programmer who loves coding and computer games.
— Able to work part-time as a freelance instructor.
Job details:
— Location: Remote (part-time freelance role).
— Income: Part-time freelance position with no fixed or guaranteed income.
Удалённо
Зарплата не указана
TTil-Qazyna National Scientific and Practical Center
About Us & The Team
Til-Qazyna is a national scientific and practical center dedicated to building the core digital and AI infrastructure for the Kazakh language. We develop foundational language resources, linguistic tools, and open-source models, including custom text corpora, morphological analyzers, RAG pipelines, and fine-tuned Large Language Models.
We are looking for an AI Engineer to focus exclusively on natural language processing, corpus engineering, and LLM fine-tuning.
Key Responsibilities
• LLM Adaptation & Fine-Tuning: Fine-tune, evaluate, and benchmark open-source LLMs (Llama, Mistral, Qwen, Gemma) for Kazakh language understanding and generation using parameter-efficient methods (LoRA, QLoRA, PEFT).
• NLP & Linguistic Tooling: Develop, maintain, and optimize rule-based and neural NLP components, including morphological analyzers, lemmatizers, tokenizers, and terminology parsers.
• Corpus & Data Pipelines: Design automated pipelines for large-scale text crawling, data cleaning, deduplication, synthetic data generation, and dataset curation.
• Inference & Deployment: Package NLP models and LLMs into containerized microservices (Docker, FastAPI) and optimize inference using modern serving frameworks (vLLM, Ollama, TensorRT-LLM, ONNX).
Requirements
• 1+ years of hands-on experience as NLP / AI / Machine Learning engineer.
• Solid understanding of the Transformer architecture, attention mechanisms, embeddings, and tokenization.
• Experience with core ML/NLP libraries: PyTorch, Hugging Face (transformers, datasets, accelerate, peft), Scikit-learn.
• Experience building data preprocessing pipelines and working with structured/unstructured text data.
• Practical knowledge of Docker, Linux, and Git.
• Degree in Computer Science, Data Science, Applied Mathematics.
Nice to Have
• Hands-on experience with modern LLM serving and optimization engines (vLLM, TGI, llama.cpp, quantization techniques like AWQ/GPTQ).
• Experience with RAG stacks (LangChain, LlamaIndex, ChromaDB, Qdrant, FAISS).
• Understanding of the morphological, agglutinative, or grammatical characteristics of the Kazakh language.
• Familiarity with alignment techniques (DPO, RLHF) or synthetic data generation.
What We Offer
• Direct impact on sovereign AI development and language technology used at scale.
• Official employment in full compliance with the Labor Code of the Republic of Kazakhstan.
• Access to high-performance GPU compute clusters for model training and experimentation.
About the company Join FxPro: a leading international fintech company with offices in Limassol, London, Nassau, Dubai, and Yerevan. FxPro has over 600 employees from 50 nationalities.
As a Senior Business Analyst, you will work on systems responsible for order processing and execution within the CFD Forex Exchange domain. Your role includes designing and refining pricing flows for traders and internal products, ensuring seamless integration and efficiency. You will collaborate with users and integrated systems, gather requirements, analyze workflows, and contribute to optimizing trading operations. You will influence key decision-making processes in order execution, pricing strategies, and system interoperability.
Requirements and Responsibilities:
— 3+ years of experience as a Business Analyst
— Collect and analyze requirements from stakeholders, ensuring alignment with business objectives and technical constraints
— Translate business requirements into clear, actionable tasks for development teams with thorough documentation
— Solid understanding of the Software Development Lifecycle (SDLC)
— Collaborate effectively across Product, Design, Development, and QA teams throughout the task lifecycle
— Strong time management skills to plan workloads and meet deadlines
— Quick onboarding into new domains and adaptability to changing environments
— Proficiency in creating visual representations of requirements using Unified Modelling Language (UML) and Business Process Model and Notation (BPMN)
— Experienced in writing and refining User Stories, Use Cases, and Sequence Diagrams
— Proficient in English, both written and verbal
Nice to have:
— Background in fintech, especially CFD trading
— Familiarity with API types: REST API, WebSockets, gRPC, FIX Protocol
— Experience with message queues and brokers: Kafka, RabbitMQ, Solace
— Experience with CI/CD processes and their role in software development
Interview steps:
— Recruiter screen (~30 minutes)
— Technical Interview (~60 minutes)
— Final Interview with managers (~60 minutes)
Benefits:
— Excellent compensation package
— Medical insurance
— Provident fund
— In-house gym with a personal trainer
— Free daily lunch catering, snacks, and beverages
— Company discount card for various products & services
— 21 days of annual leave and 10 days of sick leave annually
— Shuttle bus service from Limassol
— Birthday gift
— Relocation bonus and visa/work permit support
Job Overview This role is responsible for owning and representing the English-speaking World of Tanks community at a professional level. You will act as a key bridge between players and the product, combining strong game knowledge, analytical capability, and clear communication to support both community health and business decisions. The role requires someone who can confidently engage with players, interpret sentiment, and communicate effectively across a range of situations, from day-to-day interactions to high-visibility and live-audience settings. Therefore, the role is best suited for someone with prior experience. You will work closely with publishing, social media, competitive gaming, and livestream teams to deliver a cohesive global strategy. Reports to Senior Community Manager
What will you do?
— Own and actively manage the English-speaking World of Tanks community across official platforms.
— Act as a credible voice of the product, demonstrating strong in-game knowledge, including mechanics, meta, systems, and player behavior.
— Translate community sentiment into clear, structured reports with actionable insights for internal stakeholders.
— Communicate effectively in high-visibility and complex situations, including interactions with content creators and community leaders.
— Represent the product in live and high-visibility formats, including livestreams, presentations, or community events, with clear and confident communication.
— Drive engagement through discussions, initiatives, and community-led activities.
— Identify and support key community contributors and creators.
— Monitor, analyze, and report on community KPIs and sentiment trends.
— Collaborate cross-functionally to ensure consistent messaging and execution of publishing plans.
— Proactively support a constructive and engaged community environment.
What are we looking for?
Must-have
— Excellent written and spoken English, (C1-C2).
— Deep, practical knowledge of World of Tanks, with active gameplay and strong understanding of the game.
— Minimum 2 years of professional experience in community management, gaming industry strongly preferred.
— Demonstrated ability to analyze feedback and produce clear, structured reports.
— Strong communication skills, including the ability to speak confidently and clearly in front of live audiences and in high-visibility situations.
— Strong understanding of PC gaming culture and online communities.
— Analytical mindset with experience tracking and interpreting community KPIs.
— Ability to work flexible hours, including evenings and weekends when required.
Nice-to-have
— Experience hosting or participating in livestreams, presentations, or public-facing content.
— Experience organizing community events, both online and offline.
— Familiarity with social media and content strategy.
— Project management experience.
— Experience with tools such as JIRA, Confluence, and analytics platforms.
— Additional European languages e.g. German or Polish.
Work mode
— Hybrid (2-3 days of work from the office).
— Relocation and immigration support provided for candidates ready to relocate at short notice.
What we value in this role?
— Strong game credibility, with the ability to speak confidently about World of Tanks beyond a surface level.
— Clear, structured communication in both public-facing messaging and internal reporting.
— Professionalism in complex situations, staying composed and solution-focused when engaging with passionate or critical community members, including content creators.
— Confidence and presence when communicating in live or high-visibility environments.
— Ability to turn feedback into insight by identifying patterns across multiple regions and translating them into meaningful recommendations.
What success looks like?
— You are seen by players and creators as a credible, informed, and consistent voice.
— Your reporting provides clear insights that support decision-making, not just summaries of sentiment.
— You contribute to a constructive and engaged community environment, including during challenging moments.
— You communicate confidently and effectively in live and high-visibility situations.
— You build productive relationships with community leaders and creators, even when perspectives differ.
Benefits
— 5 weeks of Annual Leave per calendar year
— Additional paid time off
— Sick Leave Compensation, Maternity & Paternity Leave Benefits
— Career development and education opportunities within the company
— Meal card contribution
— Public transportation allowance
— Premium private healthcare
— Mental well-being program (iFeel)
— Multisport
— Employee discounts
— Personal Gaming Account
— Coffee, fruits, and snacks in the office
— Company events
— Seniority Awards
— Referral program - You can recommend the best talents to the company and receive a reward
Please submit your CV in English to ensure smooth processing and review.
Description
We are looking for a highly motivated Backend Engineer to join our team from anywhere in the World. There are a lot of opportunities for you to influence our direction, both on the product and technical side. As a senior engineer on the team, we’d look to you to help shape our future direction.
Duties
— Data architecture, data modeling, and data infrastructure ecosystem.
— Design, build, and maintenance of data processing pipelines.
— Design, build and maintain micro-service architecture.
— Balance speed and quality, with a focus on tangible results.
— Actively participate in establishing the underlying technology for the company.
Musts
— 3+ years of experience crafting high-quality solutions in professional environments
— Hands-on experience implementing and maintaining scalable, highly available, high-load systems
— Proficiency in any backend programming language and willingness to learn
— Sharp analytical skills
— Attention to details
— Deep understanding of technology
— Ability to handle multiple projects, tasks, and people in a fast-paced environment
— Flexible and focussed on finding a balanced solutions
— Excellent English skills.
Benefits
— Flexible working hours
— Work with professionals of your field
— Multicultural and diverse environment
— Free parking
— Learning budget
— Sports and leisure
— Possibility to work remotely
Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, they surpassed $3B in revenue in their last fiscal year with extensive growth potential ahead. The company values include Do the Right Thing, Customer Success, Employee Success, and Speed. Veeva is a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors. They support flexible work environments, allowing employees to work from home or in the office.
The Role:
As a Clinical Compliance Operations Specialist, you will facilitate and manage GCP project implementation audits ensuring internal adherence to Veeva processes. You will ensure quality processes are defined, followed, and maintained across multiple product and service lines and regulated domains such as GCP, HIPAA, and CSV. The role involves working closely with cross-functional global teams to provide GCP support for Veeva products in various Services areas by promoting GCP compliance, authoring GxP documents and records, reviewing project implementation deliverables, incident management review, and performing occasional supplier assessments.
Responsibilities
AI-Assisted Prototyping & Vibe Coding
— Build interactive prototypes and design explorations using AI coding tools (Claude Code, Cursor, v0, Framer, or similar), using code as the primary creative tool.
— Design and prototype AI-assisted product solutions (agents, copilots, generation and automation tools) together with product and engineering teams.
— Build and iterate prompt → flow → result pipelines; contribute reusable prompt patterns and workflow libraries.
— Use no-/low-code tools (Webflow, Retool, Zapier) to reduce dependency on core engineering.
— Move prototypes to production in close collaboration with engineers, ensuring smooth handoff and feasibility.
UI/UX Design
— Turn ideas into clear UX flows, wireframes, and high-fidelity mock-ups in Figma when needed.
— Apply strong visual and interaction design skills including hierarchy, clarity, motion, and micro-interactions.
— Create partner-facing materials such as product presentations, landing pages, one-pagers, and infographics for go-to-market and integrations.
Discovery, Research & Experimentation
— Contribute to discovery activities: interviews, JTBD, surveys, CJMs, translating insights into product decisions.
— Validate solutions and hypotheses through quick tests and experiments.
— Collaborate with analytics to define success metrics and interpret experiment results.
Monetization UX
— Translate monetization and growth ideas into concrete prototypes, UX changes, and experiments.
— Design and iterate flows for D2C, in-app/F2P, and LiveOps scenarios (shops, offers, bundles, events).
Bridge Business ↔ Design ↔ Tech
— Translate business problems and partner needs into clear artifacts: flows, specs, clickable prototypes, and simple documentation.
— Work closely with engineers to ensure feasibility and smooth transition from prototype to production.
— Contribute to internal standards for AI-assisted workflows, UX quality, and visual consistency (without direct people-management).
Qualifications & Skills
— 5–7+ years in product design, UX/UI, or hybrid design-engineering roles.
— Hands-on experience with AI coding tools (Claude Code, Cursor, v0, or similar) for building and prototyping.
— Passion for vibe coding and AI-assisted prototyping.
— Proficiency in Figma for UX flows, wireframes, and high-fidelity design.
— Proven AI production experience: building prompt and workflow pipelines, shipping automated or AI-assisted flows.
— Strong UI skills: visual clarity, hierarchy, attention to detail, polished prototypes.
— Strong UX thinking: flows, structure, consistency, edge cases, designing connected product experiences.
— Research skills: discovery (interviews, JTBD, CJM), usability tests, surveys.
— Analytics & experiments: framing hypotheses, reading A/B-test results, linking UX changes to business metrics.
— Strong English communication skills.
Nice to Have
— Experience designing and shipping D2C and F2P/in-app monetization experiences.
— Experience in gaming industry or with game developers/publishers.
— Ability to write functional front-end code (HTML/CSS/JS/React) to build prototypes independently.
— Deep craft in interaction design, motion, design systems; experience with design systems.
— Broad understanding of modern product architecture (APIs, client–server, microservices, cloud).
— Experience with no-code/low-code tools (Webflow, Retool, Zapier).
— Experience in fast-paced startup or scale-up environments.
— Familiarity with growth design principles (conversion optimization, funnel analysis, pricing presentation).
— Additional language skills relevant to key markets (e.g. Russian, Malay, Chinese).
Salary
$65,000 - $80,000 a year
Benefits
— 100% company-paid medical, dental, and vision plans.
— Unlimited Flexible Time Off.
— Personalized career roadmap.
— Professional development through training and educational opportunities.
Equal Employment Opportunity Statement
Xsolla is an equal opportunity employer committed to diversity and inclusion.
Criminal History Consideration
Background check including criminal history, employment and education verification due to role responsibilities.
Rights Under the Fair Chance Act
Applicants encouraged to inquire about their rights; contact careers@xsolla.com for questions.
Use of AI tools in hiring process with final decisions made by humans.
Simple Life is the #1 AI-powered health coaching app for adults who want to lose weight and enjoy a healthier lifestyle—without the stress or extremes. Our mission is to empower people to feel their best every day. By challenging traditional, restrictive approaches, Simple offers a more sustainable method grounded in ease, personalization, and real-life support. Simple has had over 17 million downloads and more than 300,000 5-star reviews, having helped millions lose weight successfully and sustainably. Simple has earned recognition as Best Virtual Coach and one of the Top 100 AI companies — all thanks to a dedicated global team driving real impact. With SIMPLE as a partner in their pocket, users feel cared for and empowered to embrace — and stick to — new healthy habits.
Simple is looking for a Senior Data Engineer to join our Tech team. Push the pace of innovation and build a future of a healthier world with us!
Задачи:
— Design, build, and maintain streaming pipelines.
— Develop custom ingestion pipelines from third-party APIs, webhooks, and SDKs.
— Migrate existing data ingestion pipelines from SaaS tools to our own infrastructure.
— Deliver data to the raw layer of our Snowflake warehouse with schema consistency, idempotency, and resilience to malformed or late data.
— Evolve the existing AWS streaming stack (Kinesis, SQS, Lambda, API Gateway), improving cost efficiency, observability, and resilience.
— Maintain infrastructure as code (Terraform) for ingestion and processing resources.
— Monitor pipelines, troubleshoot, and resolve incidents.
— Contribute to our ongoing work on safe data access for AI agents and tooling.
— Continuously improve ingestion architecture, tooling, and engineering practices.
Требования:
— 5+ years of commercial Python experience in a backend or data engineering role.
— Solid understanding of distributed systems architecture, including load balancing, sharding, and trade-offs between synchronous and asynchronous processing.
— Hands-on experience with cloud services, preferably AWS (Lambda, API Gateway, containers in ECS/EKS).
— Experience building streaming pipelines (Kinesis, SQS, or equivalents).
— Experience with infrastructure as code (Terraform or equivalents).
— Working knowledge of SQL: ability to read and write queries, including joins and window functions.
— Commercial experience with real-world production data: ability to design systems that gracefully handle messy, duplicated, delayed, or malformed input.
— Solid understanding of how data flows through production systems, including the ability to anticipate and prevent downstream issues.
— Operational mindset: comfortable owning production systems and monitoring them.
— Ability to make architectural decisions independently and review the work of teammates.
Желательно:
— Strong SQL and data modeling skills.
— Experience with Snowflake and dbt.
— Experience with workflow orchestrators (Airflow, Dagster, Prefect, or equivalents).
— Experience working with analytics and product teams as a data provider.
— Experience working with sensitive or regulated data.
Условия:
— Open-minded teams, a welcoming and inclusive company culture.
— Competitive salary package based on expertise, skillset, and impact plus stock options.
— In-office, remote and hybrid work opportunities.
— Equipment needed for productivity.
— Premium SIMPLE subscription.
— 21 days annual leave plus bank holidays.
— Flexible hours focusing on results, not desk time.
О компании и ценностях:
— Data-driven decision making.
— Focus on impact and speed.
— Ownership and responsibility.
— Encouragement to push limits and innovate.
— Team accountability and collaboration.
About the company
We are building business-focused media across popular social platforms.
Responsibilities
— Conduct research in English: find relevant information, organize it clearly, and draw conclusions from it;
— Find, evaluate, and implement new tools and services;
— Work with social media platforms: publish content and analyze performance metrics;
— Source freelancers, including video editors, designers, lawyers, and other specialists;
— Assign tasks to our English-speaking team and oversee the quality of their work;
— Improve existing workflows and guidelines, and create new ones when needed.
Requirements
— You must be based outside Russia;
— At least 2 years of experience as a business assistant, business analyst, product or project manager;
— English proficiency at C1 level or above, with the ability to communicate confidently with English-speaking freelancers and research and analyze information from English-language sources;
— Ability to independently figure out new tools and processes.
What we offer
— Full-time;
— Fully remote work;
— Payment terms will be agreed upon with the successful candidate.
About Collectly: Collectly is a fast-growing healthcare technology company transforming revenue cycle management (RCM) through AI-driven automation. Millions of patients navigate inefficient billing systems every day, while providers face delayed payments, rising administrative burden, and operational complexity. Collectly applies artificial intelligence to automate workflows, accelerate cash flow, and modernize the patient financial experience; enabling healthcare organizations to operate more efficiently and focus on delivering care. Healthcare is a $4.9T industry and is adopting AI technology at 2.2x the rate of the rest of the economy.
Position Overview:
We are seeking a highly organized and proactive Talent Coordinator and Sourcer to join our Talent team. In this role, you will partner with the Talent Manager and Hiring Managers to ensure a seamless and positive candidate experience throughout the recruitment process. You will be responsible for scheduling interviews, managing logistics, and providing support to candidates and hiring partners. Additionally, you will leverage your sourcing skills to identify and attract top talent through various channels. This is an excellent opportunity to contribute to our recruitment efforts, improve processes, and play a key role in shaping our organization's talent acquisition strategy.
About our Machine Learning Business Banking team:
Our mission in Business Banking is to simplify banking for small businesses; making business banking fairer, simpler and more transparent. Monzo Business Banking is fast-growing, is the UK’s most recommended business account for overall service quality. We recently hit 1 million customers and are used by 1 in 6 UK SMEs. We want to help businesses spend less time on financial admin and more time focused on running and growing their business. We’re building intelligent, data-driven and AI/ML-enabled product experiences that help small businesses feel more in control, make better decisions, and get more value from Monzo. ML is at the core of how we build and scale our products, enabling Monzo to make better decisions, faster, and helping us serve businesses more effectively.
As a Lead Machine Learning Scientist in Business Banking, you’ll help build and ship models that power the next generation of Business Banking experiences. You’ll work closely with Product, Engineering, Design, Research, Data Science and Analytics Engineering to bring ML-enabled product capability into the heart of how we build for businesses. Whether it’s helping businesses understand their cash flow, reducing manual admin, surfacing the right insight at the right moment, or helping teams build intelligent product experiences responsibly, our work makes business banking smarter, simpler and more useful for SMEs.
What you'll be working on
As a Lead Machine Learning Scientist, you’ll be a technical leader and hands-on individual contributor, spearheading our ML and GenAI capabilities and shipping key models that powers magical Business Banking experiences. You’ll:
— Be one of the first ML Scientists in Business Banking, bringing leadership through ambiguity by adding structure and direction to our ML capabilities while staying agile and building momentum.
— Develop and deploy advanced ML models on our cloud-native data platform to serve hundreds of thousands of business customers.
— Partner with Product, data science and other stakeholders to identify the highest-impact opportunities, size impact, and define success metrics.
— Decide when to use ML, GenAI, or simpler approaches and be clear on trade-offs.
— Design robust evaluation and monitoring so we can ship responsibly and measure impact in production.
— Lead the design and implementation of batch and near-real-time models (e.g. LLM-powered experiences, predictive models, time-series forecasting).
— Collaborate closely with MLOps and Backend Engineering to operationalise models end-to-end and raise the bar on ML lifecycle rigor.
— Set technical standards, mentor others, and support experimentation and iteration.
You should apply if:
— What we’re doing here at Monzo excites you!
— You have a multiple year track record of excellence leading the development and deployment of advanced Machine Learning models to tackle real business problems, preferably in a fast-moving tech company.
— You have experience developing and shipping state-of-the-art ML models to production and delivering business impact.
— You're impact-driven and excited to own the end-to-end journey that starts with a business problem and ends with your solution having a measurable impact in production.
— You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so.
— You speak Python fluently and have extensive, hands-on experience with scikit-learn.
— You are comfortable using SQL, and keen to learn Go, which is used in many of our backend microservices.
— You’re comfortable working in a team that deals with ambiguity and have experience helping your team and stakeholders resolve that ambiguity.
— You want to be involved in building a product that small businesses use to run and manage their financial lives every day.
— You have a product mindset: you care about customer outcomes and you want to make data-informed decisions.
— You’re excited about fast-moving developments in Machine Learning and AI and can communicate those ideas to colleagues who are not familiar with the domain.
— You’re adaptable, curious and enjoy learning new technologies and ideas.
— You’re excited by the opportunity to help Business Banking evolve into AI and ML-enabled product capability.
— You can work closely with Product, Engineering, Design, Research and Data colleagues to shape product strategy, clarify trade-offs and build things that customers actually use.
— You’re thoughtful about responsible ML/AI; especially in financial products where trust, transparency and customer control matter.
Nice to haves:
— Experience working on personalisation, ranking, recommendation, forecasting, classification or decisioning problems for customer-facing applications.
— Experience working on ML systems for fintech, banking, accounting, payments, lending, invoicing, cash flow, tax, risk or business software.
— Experience with GenAI, LLMs, agentic workflows, retrieval, evaluation frameworks, or human-in-the-loop product experiences.
— Commercial experience writing critical production code and working with microservices.
— Experience designing experiments, A/B tests or other approaches to measure product and customer impact.
— Experience working in regulated environments or with products where explainability, auditability and customer trust are especially important.
The interview process:
Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions!
— 30 minute recruiter call
— 45 minute call with hiring manager
— Full Loop: ML Modelling Interview, Product & ML interview, Behavioural Interview, Leadership interview
Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com. Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason.
What’s in it for you:
— We can help you relocate to the UK
— We can sponsor visas
— 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).
— We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
— Learning budget of £1,000 a year for training courses and conferences
— And much more, see our full list of benefits here
If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.
Position Summary: The Medical Science Liaison (MSL) reports to the Sr. Director, National Field Medical Affairs and is responsible for fostering strong relationships with key opinion leaders (KOLs) and supporting the scientific and clinical strategy of Orca Bio's next generation allogeneic cell therapies. The ideal candidate will have deep expertise in hematopoietic stem cell transplantation (HSCT), cellular therapy, and the evolving cell therapy landscape, including clinical, operational, regulatory, and market access considerations. The MSL will serve as a trusted scientific partner between Orca Bio and external healthcare providers (HCPs), establishing strong professional collaborations with investigators and other HCPs within the designated territory (Southern California, Arizona, New Mexico, or Colorado). The MSL will also be an active leader and contributor on projects supporting Medical Affairs Strategic Objectives.
Responsibilities:
— Serve as a subject matter expert in stem cell transplantation, cell therapy, and cellular immunotherapy, providing scientific insights on treatment paradigms, clinical operations, patient access, and competitive landscape.
— Identify, develop, and maintain deep scientific, peer-to-peer relationships with academic stem cell therapy experts, thought leaders, HCPs, and access stakeholders to answer scientific and product-related questions and ensure safe and appropriate use of Orca Bio products.
— Prepare and maintain a territory management plan shared with Medical Leadership and internal stakeholders.
— Engage with Orca field team members to provide medical support for onboarding activities related to treatment center authorization, adverse event reporting, handling out-of-spec products, and partner with Market Access colleagues to provide medical education and support to local payers.
— Maintain a deep and current understanding of hematologic malignancies, stem cell transplantation, cell therapy, cellular immunotherapy, and competitive developments to facilitate high-level scientific exchange.
— Assess transplant and cell therapy landscape through engagement with KOLs, investigators, and academic centers to identify scientific trends, evidence gaps, and research opportunities relevant to Orca Bio's therapies.
— Serve as primary liaison for Orca Bio's Investigator-Sponsored Trial (IST) program, supporting research concept development, proposal and protocol development, governance communication, and scientific oversight throughout study phases.
— Gather and communicate actionable scientific insights and stakeholder feedback to leadership and cross-functional partners to inform medical strategy, evidence generation, and lifecycle planning.
— Provide scientific and clinical expertise to support internal and external stakeholders through advisory boards, clinical investigator meetings, educational meetings, professional organizations, advocacy groups, GPOs, and speaker bureaus.
— Support clinical trial activities to enhance patient recruitment, enrollment, and discussions on safe and effective use of investigational products, ensuring adherence to Good Clinical Practice (GCP) and regulatory standards.
— Lead collection, analysis, synthesis, and dissemination of scientific information from congresses and scientific exchanges, translating data and feedback into actionable recommendations.
— Coordinate efforts of other MSLs for congress coverage when assigned.
— Provide medical and scientific support for health outcomes, real-world evidence, and payer/provider engagement strategies.
— Initiate and autonomously execute projects aligned with Orca Bio’s scientific, clinical, and business operations, partnering with research, clinical development, commercial, market access, regulatory, and quality functions.
— Provide education and training to commercial marketing and sales teams on therapies and disease states.
Required Qualifications:
— Advanced clinical degree in life-science or basic-science discipline (MD, DO, PharmD, NP, PA, DNP, M.Sc, or Ph.D.) and industry experience as an MSL.
— Significant clinical and/or industry experience in malignant hematology, HSCT, cellular therapy, CAR-T, immune effector cell therapies, or other advanced therapy modalities.
— Strong understanding of cell therapy ecosystem including transplant center operations, apheresis and cell processing workflows, treatment center authorization, patient referral pathways, and competitive cell therapy products.
— Strong understanding of clinical development, regulatory requirements, and commercial strategies; HEOR data experience is a plus.
— Excellent interpersonal and communication skills to engage and influence diverse stakeholders.
— Ability to interpret and present complex scientific data to diverse audiences.
— Strong strategic thinking, problem-solving skills, and solution-oriented mindset.
— Ability to collaborate with cross-functional colleagues to serve internal and external stakeholder needs.
— Ability to work independently and manage multiple priorities in a fast-paced, dynamic environment.
Preferred Experience:
— 5+ years of industry experience as an MSL.
— Experience with field medical launch planning, execution, and post-launch support.
— Direct experience supporting cell therapy, stem cell transplantation, CAR-T, or other advanced therapeutic platforms.
— Experience working in a small biotech company or start-up environment.
Compensation and Benefits:
— Annual salary range $195,000 - $245,000 based on experience, education, location, and other factors.
— Eligibility for pre-IPO equity and annual bonus.
— Competitive medical, dental, and vision benefits.
— PTO, 401(k) plan, life and accidental death and disability coverage, and parental leave benefits.
— Other perks include subsidized daily lunches and snacks at on-site locations.
About Truv: Truv is building the infrastructure layer that powers consumer-permissioned income, employment, identity, and asset verification. They help lenders, fintechs, and financial institutions make faster, more accurate decisions while delivering a seamless consumer experience. As they continue to expand their data network and verification capabilities, they are looking for a Lead Product Manager to own and scale their Data Sources platform—the foundation that powers document ingestion, fraud detection, bank connectivity, and data reliability across Truv products.
What you’ll do:
— Own the execution of the roadmap and execution for the systems that collect, process, and validate consumer financial data.
— Work at the intersection of data infrastructure, machine learning, fraud prevention, and financial data aggregation.
— Build scalable capabilities that improve data coverage, quality, reliability, and trust across Truv's platform.
— Collaborate closely with Engineering, Data Science, Fraud, Operations, Customer Success, and GTM teams to deliver products that impact conversion, customer satisfaction, and operational efficiency.
Who you are:
— Experienced product manager with a track record of delivering data-intensive, scalable platform features.
— Strong collaboration skills across cross-functional teams including Engineering, Data Science, Fraud, Operations, Customer Success, and GTM.
— Deep understanding of data ingestion, processing, validation, quality, and reliability.
— Ability to translate complex data requirements into clear roadmaps and measurable outcomes.
Requirements:
— Proven experience as a product manager for data platforms or data sources with ownership of end-to-end delivery.
— Experience coordinating with data engineering, ML, and fraud risk teams.
— Strong problem-solving skills and data-driven decision making.
— Ability to define success metrics and track progress against them.
— Excellent communication and stakeholder management.
Qualifications:
— Bachelor’s degree in a relevant field; MBA or advanced degree a plus.
— 5+ years of product management experience in data-intensive environments.
— Experience with data ingestion, data quality frameworks, data lineage, and data reliability concepts.
Tech stack:
— Experience with data pipelines, data storage, APIs, and cloud-based data tooling.
— Familiarity with data orchestration, metadata management, and fraud/inventory systems is a plus.
Benefits & perks:
— Competitive compensation, equity, health benefits, and opportunities for professional growth.
— Collaborative, fast-paced environment with a strong focus on impact and product excellence.
We are seeking an experienced technical product manager to design and deliver high-value AI Agent solutions across the Veeva Quality Cloud suite of products. Veeva Quality Cloud accelerates the manufacturing of high-quality products to a greater number of patients. The cloud platform unifies applications, processes and partners across content management, training, Quality Management System (QMS) and QC lab solutions (LIMS). In this role, you will be an expert in the use of AI to design and build AI agents that analyze document content and intelligently extract the information to map & store them as structured data within the Veeva Quality Cloud data model (i.e. ‘Docs to Data’).
Удалённо
Зарплата не указана
Удалённо
Зарплата не указана
Удалённоhead
Зарплата не указана
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.
