Вакансии

• Develop and execute overall marketing and brand strategies. • Lead digital, social media, PR, campaigns, and brand activations.

Location: Москва **Создавай архитектуру AI-агентов будущего в Сбере.** Мы строим систему управления интегрированными рисками экосистемы Сбера на основе агентного ИИ. Если ты уверенный разработчик и хочешь решать сложные Enterprise-задачи — тебе к нам. Мы ищем специалиста, который сосредоточен на качественном коде, поиске эффективных решений и работе в сильной команде. Ты будешь писать код, который напрямую влияет на безопасность и эффективность крупнейшего банка страны, участвуя в масштабных проектах высокого уровня. Обязанности • с**оздавать с нуля:** Разрабатывать AI-агентов на базе GigaPlatform и других open-source LLM, которые потом пойдут в промышленную эксплуатацию • т**ьюнить LLM:** Адаптировать и дообучать наши собственные LLM (Prompt Tuning, LoRA, SFT, GRPO), делая их умнее на наших данных • в**недрять:** Участвовать в выводе агентов в продакшн и создавать библиотеки, которыми будут пользоваться другие команды • р**аботать на мощном железе:** 8–16 A100 80 GB • т**ехнологический стек:** vLLM, ollama, llama.cpp, LangChain, LangGraph, Transformers, PyTorch Lightning. Требования **Что мы ценим и что даст тебе преимущество:** • опыт в DS от 1,5 лет • м**атематическая база:** Высшее техническое образование с глубоким пониманием алгоритмов и структур данных • э**кспертиза в ML/DL:** Опыт обучения нейросетей (от классических RNN до трансформеров) • м**астерство RAG:** Ты знаешь разницу между классическим RAG, GraphRAG и Agentic RAG, и понимаешь, где и что применить • п**исать хороший код:** Соблюдать принципы Clean Architecture, SOLID, поддерживать Git Flow. **Будет крутым плюсом:** Опыт в соревнованиях (Kaggle Expert+). **Почему это «та самая» вакансия?** У нас есть для тебя сложные задачи на стыке безопасности, больших данных и агентного ИИ. Ты получишь свободу в принятии технических решений, поддержку амбициозных идей и возможность видеть реальный эффект от своей работы в масштабах экосистемы Сбера. Условия * комфортный современный офис рядом с м. Кутузовская * гибридный / удаленный формат работы * ежегодный пересмотр зарплаты и годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: At Anthropic, we're building AI systems that are safe, beneficial, and transformative. Our mission is to develop AI that benefits humanity, and we believe the most powerful capabilities emerge when we thoughtfully bridge the gap between research breakthroughs and real-world applications. Many of the people who could gain the most from Claude are the least able to buy it the usual way. A teacher often pays for tools out of pocket. A small nonprofit has no procurement team. A university lab that wants to use Claude has to go through funding, an IT office, and a purchasing department at once. Beneficial Deployments works to reach them, through programs like Claude for Teachers and Claude for Nonprofits and through our work with researchers. What stands between those people and Claude is rarely the model. It's proving they qualify, getting the right price, buying in a way their institution allows, and landing in the right organization with the right permissions. Those steps run through identity, billing, provisioning, and fraud systems that were built for commercial customers. Our Access team makes them work for everyone else. We're looking for engineers who find it deeply satisfying to remove the one thing stopping thousands of teachers or scientists from getting started. You'll work in other teams' codebases as often as our own, and much of the job is earning the trust of the engineers, accountants, and safety reviewers who own those systems. This role's focus is access. Experience with billing or identity is a big plus. What matters most is that you finish hard things that cross team lines, get the details right when money and trust are involved, and care about who is on the other end. Core Responsibilities: Own programs like Claude for Teachers or Claude for Nonprofits from design through launch, operation, and support Support the verification lifecycle: how educators, nonprofits, and research labs prove eligibility, get reviewed at scale, renew, and are removed fairly when they no longer qualify Build pricing, billing, and provisioning that understands programs, including discounts, usage caps, credits, tax exemption, and self-serve purchase, so the next program is configuration rather than a project Build safe paths for organizations to move between their available plans and manage their teams, without losing data, seats, or history Work directly in partner teams' systems, such as billing, identity, and Safeguards Design for trust, with controls and audit trails that stand up to financial audit and student-privacy requirements Turn manual review, one-off fixes, and hand-run testing into tools that support, sales, and finance can use themselves Share on-call for program issues, and use what you see there to decide what to build next You might be a good fit if you: Have 6+ years of experience building software, with strong backend or full-stack skills and solid grounding in data modeling, APIs, and databases Have owned systems where mistakes are expensive, such as billing, payments, identity, entitlements, provisioning, or eligibility Have a track record of finishing work that depended on several teams, without formal authority over any of them Are comfortable in a large codebase you don't own, and learn the rules its owners care about Sweat correctness and edge cases, and can say clearly what you tested and what you didn't Enjoy unblocking people and closing things out, and leave the underlying system better each time Prioritize well when demand is larger than capacity, including saying no and explaining why Communicate clearly across engineering, finance, sales, and support, and care about the societal impacts of your work Strong candidates may also: Experience with subscription or usage-based billing, quote-to-cash, tax, or revenue systems, such as Stripe, Metronome, or Salesforce CPQ, or with building under SOX controls Experience with verification, KYC, fraud, or trust and safety systems Experience with enterprise identity and administration, such as SSO, SCIM, or large account and data migrations Experience building for schools, nonprofits, research institutions, healthcare, or government, or working with FERPA or similar privacy rules Experience launching in new countries, including currency, tax, language, and local eligibility Experience building products with large language models, or using coding agents heavily in your own engineering work Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role: We are looking for a SOC Engineer to join our Security Operations team and help defend a fast-moving, cloud-native AI vibe-coding platform. In this role, your primary mandate will be building and evolving our security data lake, engineering reliable security telemetry, and owning high-fidelity detection engineering end-to-end. You will unify cloud, identity, endpoint, and application telemetry, staying on top of emerging threats to rapidly build and tune detections across our environment. Alongside this data and detection mandate, you will support incident investigations as needed to translate real-world threats into stronger automated defenses. This is a hands-on engineering role requiring strong technical depth, understanding of modern software engineering and CI/CD systems, familiarity with cloud-native infrastructure (especially GCP), and expertise in security data pipelines and detection workflows. What You'll Do: - Security Data Lake & Detection Engineering: Architect, expand, and maintain our security data lake while designing, testing, and tuning custom detection rules to maximize threat coverage and minimize noise across our cloud-native stack. - Threat Awareness & Rapid Assessment: Continuously monitor emerging threats (0-days, bad actor activity, public exploitation campaigns, bug bounty reports, customer security issues) and rapidly assess their applicability to Replit's infrastructure, SaaS services, internal tools, and platform components. - Investigation & Impact Analysis: Conduct targeted investigations to determine impact, analyze logs, telemetry, and system behaviors using SIEM, metrics, and Cloud Logging and identify gaps in detection/visibility. Required Skills & Experience: - Building and evolving the security data lake, unifying cloud, identity, endpoint, and application telemetry; hands-on experience with SIEM, Cloud Logging, and log-based investigation workflows. - Engineering reliable security infrastructure and automation using infrastructure-as-code to close visibility gaps and perform log-based investigations. - Proven expertise in detection engineering end-to-end, specifically developing, testing, and tuning custom detection rules to maximize threat coverage and reduce noise across complex environments. - Strong understanding of software engineering fundamentals (code structure, build systems, dependencies, package ecosystems). - Understanding of CI/CD pipelines and DevOps workflows. - Solid knowledge of cloud architecture, especially Google Cloud Platform (GCP) services in modern cloud-native deployments. - Familiarity with SaaS architectures, identity systems, and integration patterns. Bonus Qualifications: - Experience with threat intelligence, security research, or vulnerability analysis. - Familiarity with Kubernetes, containers, serverless infrastructure, or modern distributed systems. - Ability to write scripts or small tools for investigation or automation (Python, Go, Bash). - Experience working with bug bounty programs or coordinated vulnerability disclosure workflows. - Experience in fast-paced, cloud-native, or AI/ML-driven environments. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: Montevideo, Uruguay; Remote.AR, Remote.LATAM-country; Remote.CO, Colombia; Rosario, Remote.LATAM-country We are looking for a hands-on Data Engineer (Middle/Senior) to design, build, and maintain reliable, scalable pipelines that keep information timely, clean, secure, and well-structured for downstream consumers. This is an execution-focused role combining pipeline development, query and cost optimization, data governance, and production monitoring. The engineer will work closely with business, analytics, and data science teams to make data available and trustworthy across the organization. The Data & AI chapter of the Passenger Journey builds and operates the data foundation that turns raw data into trusted, strategic assets for analytics, product, and business teams. The team works on Google Cloud Platform (GCP) under Agile and DataOps practices, with a tech stack centered on BigQuery and SQL, Dataform (including assertions) for transformation, and Python (Pandas) for processing and automation. Pipelines run on Cloud Run, Cloud Run Jobs, Dataflow, Pub/Sub, Cloud Storage, Cloud SQL, and Cloud Scheduler, with Git/GitLab, CI/CD, and Terraform for delivery, and IAM and policy tags for access control. Data is organized under a medallion architecture (Bronze, Silver, Gold), with cost and performance optimization (FinOps) treated as a first-class concern. Design, implement, and maintain reliable, scalable ingestion and transformation pipelines that ensure data quality, integrity, and availability for business and analytics. Optimize processing and storage by reducing execution time and costs (FinOps) across pipelines and queries to maximize the value of data. Apply data governance standards, including quality, naming conventions, cataloging, and a medallion architecture (Bronze, Silver, Gold), to ensure consistency and traceability. Protect sensitive data through role-based access control (IAM) and policy tags, ensuring compliance with applicable regulations and standards (GDPR, LGPD, ISO, and local regulations). Monitor pipelines, respond to incidents, and adapt them to new business requirements while meeting availability and performance SLAs. Enable controlled, cross-functional access to data for broad consumption. 3+ years of proven experience as a Data Engineer or in a similar role. Strong SQL skills and hands-on experience with BigQuery, including query optimization, partitioning, and clustering. Experience building and maintaining ELT/ETL pipelines and data models with Dataform (or a similar framework, such as dbt, with skills readily transferable to Dataform), including assertions. Experience with Python for data processing and automation (Pandas). Solid GCP experience across Cloud Run / Cloud Run Jobs, Dataflow, Pub/Sub, Cloud Storage, Cloud SQL, and Cloud Scheduler. Knowledge of medallion architecture (Bronze/Silver/Gold) and sound data-modeling fundamentals. Knowledge of data governance and compliance, including IAM, policy tags, and regulatory awareness (GDPR, LGPD, ISO). Experience with Git/GitLab, CI/CD, and Terraform for delivery and infrastructure as code. Experience with pipeline monitoring and observability (Cloud Monitoring; Grafana is desirable). Exposure to GenAI-assisted development and tooling, including prompt engineering, OpenAI API/SDK, Vertex AI, and MCP (desirable). Experience with API development using FastAPI / REST services (desirable). Experience with BI and data visualization tools such as Looker Studio or Google Data Studio (desirable). Ability to communicate effectively with technical and non-technical stakeholders, and experience working in Agile environments. Fluency in Spanish (the team's working language) and intermediate English proficiency for documentation and international collaboration.

Location: Indonesia; Nigeria; Turkey About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Hardware Design Engineer with a strong background in electronic circuit design, multilayer PCB development, and simulation-led hardware optimization. In this role, you will use KiCad to analyze, redesign, simulate, and validate electronic hardware, with a focus on Signal Integrity (SI), Electromagnetic Compatibility (EMC), and/or thermal performance. You will investigate existing PCB designs, identify performance and reliability issues, determine their root causes, and implement layout improvements while preserving the original schematic, netlist connectivity, and component selection. The ideal candidate combines substantial hands-on PCB design experience with at least four years of practical simulation expertise in signal integrity, EMC, thermal analysis, or a combination of these areas. We are looking for an engineer who can independently execute technical work, interpret simulation results, and translate findings into measurable hardware improvements. CONTRACT TYPE: Independent Contractor LOCATION: Remote DURATION: Approximately 13 weeks, with potential extension opportunities. COMMITMENT: 40 hours per week. START DATE: As soon as possible. SCHEDULE: Full-time engagement. Key Responsibilities Translate product requirements into circuit architectures, hardware specifications, and validated electronic designs. Develop and modify schematics and multilayer PCB layouts using KiCad, including component selection, routing, design-rule checks, BOM preparation, and manufacturing documentation. Analyze existing PCB layouts and simulation results to identify signal integrity, EMC, and thermal issues. Investigate root causes and define measurable acceptance criteria for design improvements. Redesign PCB layouts to address identified issues while maintaining the original schematic, netlist connectivity, and component selection. Perform and interpret simulations involving impedance, signal reflections, crosstalk, return paths, temperature distribution, heat dissipation, and thermal hotspots. Evaluate simulation inputs, boundary conditions, material properties, modeling assumptions, and limitations. Document design decisions, corrective actions, simulation outcomes, and verification findings. Support prototype bring-up, hardware debugging, and design validation. Requirements 8+ years of overall relevant engineering experience, with substantial hands-on experience in electronic hardware and PCB design. At least 6 years of hands-on electronics hardware and PCB design experience, including multilayer PCB layouts. Practical experience using KiCad for schematic capture and PCB design. At least 4 years of practical experience in one or both of the following specializations: Signal Integrity (SI) / Electromagnetic Compatibility (EMC) simulation. Thermal simulation and analysis. Strong understanding of circuit analysis, component selection, and electronic component datasheets. Solid knowledge of grounding, power distribution, signal integrity, thermal management, and Design for Manufacturing (DFM) / Design for Test (DFT). Ability to independently set up, execute, interpret, and validate relevant engineering simulations. Experience correlating simulation results with actual PCB layout characteristics and identifying design-level causes of performance issues. Ability to assess model inputs, boundary conditions, material properties, and simulation limitations. Strong technical documentation and problem-solving skills.

Location: Bangladesh; Brazil; Colombia; Egypt; Ghana; India About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Hardware Design Engineer with a strong background in electronic circuit design, multilayer PCB development, and simulation-led hardware optimization. In this role, you will use KiCad to analyze, redesign, simulate, and validate electronic hardware, with a focus on Signal Integrity (SI), Electromagnetic Compatibility (EMC), and/or thermal performance. You will investigate existing PCB designs, identify performance and reliability issues, determine their root causes, and implement layout improvements while preserving the original schematic, netlist connectivity, and component selection. The ideal candidate combines substantial hands-on PCB design experience with at least four years of practical simulation expertise in signal integrity, EMC, thermal analysis, or a combination of these areas. We are looking for an engineer who can independently execute technical work, interpret simulation results, and translate findings into measurable hardware improvements. CONTRACT TYPE: Independent Contractor LOCATION: Remote DURATION: Approximately 13 weeks, with potential extension opportunities. COMMITMENT: 40 hours per week. START DATE: As soon as possible. SCHEDULE: Full-time engagement. Key Responsibilities Translate product requirements into circuit architectures, hardware specifications, and validated electronic designs. Develop and modify schematics and multilayer PCB layouts using KiCad, including component selection, routing, design-rule checks, BOM preparation, and manufacturing documentation. Analyze existing PCB layouts and simulation results to identify signal integrity, EMC, and thermal issues. Investigate root causes and define measurable acceptance criteria for design improvements. Redesign PCB layouts to address identified issues while maintaining the original schematic, netlist connectivity, and component selection. Perform and interpret simulations involving impedance, signal reflections, crosstalk, return paths, temperature distribution, heat dissipation, and thermal hotspots. Evaluate simulation inputs, boundary conditions, material properties, modeling assumptions, and limitations. Document design decisions, corrective actions, simulation outcomes, and verification findings. Support prototype bring-up, hardware debugging, and design validation. Requirements 8+ years of overall relevant engineering experience, with substantial hands-on experience in electronic hardware and PCB design. At least 6 years of hands-on electronics hardware and PCB design experience, including multilayer PCB layouts. Practical experience using KiCad for schematic capture and PCB design. At least 4 years of practical experience in one or both of the following specializations: Signal Integrity (SI) / Electromagnetic Compatibility (EMC) simulation. Thermal simulation and analysis. Strong understanding of circuit analysis, component selection, and electronic component datasheets. Solid knowledge of grounding, power distribution, signal integrity, thermal management, and Design for Manufacturing (DFM) / Design for Test (DFT). Ability to independently set up, execute, interpret, and validate relevant engineering simulations. Experience correlating simulation results with actual PCB layout characteristics and identifying design-level causes of performance issues. Ability to assess model inputs, boundary conditions, material properties, and simulation limitations. Strong technical documentation and problem-solving skills.

Location: Cyprus; Romania; Georgia; Russia; Armenia; Belarus CXM is looking for a Head of CRM to own our CRM system as the operational backbone of the business. This is not a campaign role. You will design, implement and run the processes inside the CRM that drive Sales, Business Development and Marketing. The goal is that every client-facing team works inside the CRM every day, and that those processes lead to measurable financial results. You will work closely with our Marketing Analytics specialist, who owns end-to-end attribution, customer journey mapping, and lead and client scoring. Your job is to make sure that data is used where it matters: in the hands of Sales Managers and BDMs, at the moment they need it. What You’ll Do CRM ownership and implementation Own the full setup, configuration and ongoing development of the CRM: data structure, pipelines, deal stages, automations, permissions and reporting. Lead implementation projects and integrations with our trading platforms, back office, marketing tools and analytics stack. Drive adoption across teams. Set the standards for how the CRM is used, train users, and make sure processes are actually followed. Act as the internal authority on what the CRM can do and how to get the maximum value from it. Sales processes Build CRM workflows that make the CRM the starting point of every Sales Manager’s day. Set up automatic lead and client distribution rules and automatic task creation for first contact, company introduction and first sale. Design deal pipelines for new leads and registrations (onboarding, activation, first deposit) and for existing clients (upsell, retention). Create automated reports and alerts that show Sales Managers which clients are cooling down: falling trading activity, no recent contact, or no recent trades. Every one of these signals should turn into a clear next action. Retention and reactivation Build reactivation systems that automatically segment inactive or declining clients, create tasks and launch reactivation plans. Prioritise high-value segments, for example long-standing clients who generated significant revenue and have stopped trading. Business Development (IBs, affiliates and partners) Design the CRM processes for BDMs managing Introducing Brokers, affiliates and other partners. Give BDMs visibility of partner performance: referred clients, trading activity of those clients, rebates and partner engagement. Set up workflows for partner onboarding, activation, growth and early warning when a partner’s traffic or client activity drops. Marketing alignment Make sure marketing data appears where it is needed. A Sales Manager or BDM opening a client card should instantly see who the client is, where they came from, their traffic source, their original interest and their current customer journey stage. Work with the Marketing Analytics specialist so that attribution, journey stages and scoring flow correctly into the CRM and drive prioritisation and automation. Make sure Sales, BD and Marketing operate as one connected system rather than in separate silos. Reporting and performance Build dashboards and KPIs for management covering pipeline, conversion, deposits, retention, reactivation and partner performance. Continuously improve processes based on data and feedback from the teams. Requirements 5+ years of experience in CRM management, sales operations or leading CRM implementation in financial companies. Experience in online trading, brokerage, fintech or iGaming is a must. A solid understanding of how sales, business development and marketing processes work, and how a CRM supports each of them. You’ve built these processes before, not just administered the system. Hands-on experience configuring a major CRM (Zoho, HubSpot, Salesforce or a brokerage-specific CRM): pipelines, automations, routing rules, reporting. Experience with lead distribution, task automation, deal pipelines, retention and reactivation workflows. An understanding of partner and affiliate models. Experience with IB programmes and rebate structures is a strong advantage. Benefits What We Offer Fully remote working with minimal meeting overhead. Ownership of CRM across 12 international markets . Genuine opportunity to build and improve the customer lifecycle function. An established business with the resources and budget to execute ambitious CRM initiatives. Freedom to test, learn, and implement new ideas. Competitive, above-market compensation. KPI-linked bonus connected directly to CRM and business performance. Recruitment Process Stage 1: HR interview — experience, motivation, and fit. Stage 2: CMO interview — CRM expertise, strategy, and relevant experience. Stage 3: CEO interview, where required.

Location: Russia; Belarus; Georgia; Armenia; Kazakhstan; Moldova About the company The company is a games publisher that licenses free-to-play mobile and browser games from international studios and brings them to players in Russia and the CIS. It already has a live portfolio, partnerships with major regional platforms, a release and operations team, and a steady flow of new titles to evaluate. The company is looking for a Head of Publishing who will own publishing decisions and turn that flow of games into a profitable portfolio. About the role As Head of Publishing, you will decide which games the company takes on, build the economics behind every title, and make sure each game delivers a financial result. The role comes with real autonomy: leadership sets the goals, and you own the decisions and the plan to get there. Responsibilities Review a steady flow of games across genres and make fast, well-reasoned go / test / no-go decisions Build a financial model and P&L for every title: investment, payback period, revenue forecast Negotiate licensing deals with developers and take them all the way to signature Oversee user acquisition through the company's UA agency and partners, and make sure campaigns pay back Work with regional platforms and app stores on launches and commercial terms Set priorities for the release, operations and scouting teams; define processes and responsibilities Identify gaps in the team and plan the next hires Report regularly to the company's leadership: current financial position and the plan for the next 1, 3 and 6 months Requirements 3+ years in publishing of F2P mobile and/or browser games as a Publishing Producer, Producer, Product Lead, Publishing Manager or Head of Studio (management side), with ownership of results Hands-on experience building financial models and game P&Ls in Excel / Google Sheets, and the ability to explain and defend your assumptions Strong command of game metrics: retention, ARPU / ARPPU, LTV, ROAS, cohorts, payback Experience evaluating many games across different genres and making go / no-go decisions Track record of negotiating and closing deals with game developers Solid understanding of UA unit economics and experience working with UA teams or agencies Good knowledge of the Russian games market and what works for local players Experience managing people or cross-functional processes Working English for calls and correspondence with international partners Fluent Russian Based in Russia, or able to travel to Russia regularly Makes decisions quickly, takes ownership of them and comes to meetings with checked numbers Finds solutions when budgets are limited Nice to have Experience with regional platforms and stores: RuStore, VK Play, VK Games, Yandex Games, OK Games Experience publishing licensed games from Asian developers Experience at a publisher with a large and diverse portfolio Startup or small-team experience, wearing multiple hats Plays games personally Benefits Full ownership of publishing decisions without micromanagement Competitive fixed compensation plus a performance-based bonus Fully remote work A steady pipeline of new titles from international studios The opportunity to build the publishing function and team Fast decision-making: days, not months

Location: Lithuania; Estonia; Czechia; Moldova; Ukraine; Spain RealAdvisor is one of the leading digital platforms in the European real estate ecosystem. Founded in Switzerland, we now support 5,000+ real estate agencies and attract 10+ million users per year across Europe. We are scaling fast across multiple markets with a clear mission: help real estate professionals grow through data, transparency and smart technology. At RealAdvisor, we value ownership, autonomy and impact. Role Overview We are looking for a Machine Learning Engineer to take end-to-end ownership of our geospatial data products. This is not a model-tuning role. You will design, build, and operate the full data lifecycle behind our real-estate insights — from orchestrating complex pipelines on Kubernetes to delivering high-performance geospatial visualizations with Mapbox. This is a builder role. You should be as comfortable debugging an Airflow DAG as you are computing spatial statistics or optimizing analytical queries. You’ll have full autonomy over a modern, high-performance stack: Orchestration & Operations: Airflow, Kubernetes, Docker Data Storage: Postgres (PostGIS) for spatial workloads; ClickHouse for large-scale analytics Programming: Production-grade Python Requirements Key Responsibilities End-to-End Pipelines: Design and deploy automated pipelines (ETL) using Airflow to ingest diverse datasets (Real Estate transactions, listings, geo-data). Geospatial Analytics: Compute advanced spatial metrics (e.g., pricing honeycombs, average prices per neighborhood) using PostGIS and Python. Infrastructure Management: Maintain and optimize the Kubernetes environment where your pipelines and models run. Visualization Engineering: Transform your analytical outputs into interactive map layers (Vector Tiles) that integrate seamlessly with Mapbox on our frontend. What We’re Looking For Truly Full-Stack (Data): You don’t believe data scientists should stop at notebooks. You own infrastructure, deployment, and reliability because that’s how real value is delivered. Strong Geospatial Intuition: You understand projections, polygons, spatial joins, and how to visualize density and patterns effectively. Engineering Mindset: You write clean, modular, maintainable Python code designed for production — not one-off scripts. Experience: 3+ years in a Data Science or Data Engineering role, with hands-on ownership of production systems. Infrastructure Proficiency: Solid experience with Docker and Kubernetes, including debugging and troubleshooting live environments. Database Expertise: Advanced SQL, especially with PostGIS or similar spatial extensions. Experience with ClickHouse is a strong plus. Orchestration Mastery: Deep hands-on experience with Airflow for building and maintaining reliable data pipelines. Fully remote role with flexible working hours. Close collaboration with leadership and go-to-market teams. International, ambitious, and collaborative team culture. Benefits Fully remote role with flexible working hours. Close collaboration with leadership and go-to-market teams. International, ambitious, and collaborative team culture.

Location: Belarus Intetics Inc., a leading American technology company specializing in custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions, is on the lookout for a Senior Full-Stack Engineer (React Native/Node.js) to join our team and provide exceptional customer support. Responsibilities Build and maintain React Native SDK functionality, including integration into partners’ existing native applications Design and implement BFF endpoints using Node.js and TypeScript, exposed through RPC APIs Investigate issues across the full request path, including the mobile client, network, BFF, and external services Review code and provide constructive, actionable feedback Participate in production incident response, analyze logs, and identify root causes Make pragmatic technical decisions while adapting to changing requirements and strict regulatory constraints Take ownership of features from initial requirements through production delivery Requirements 5+ years of commercial software development experience Strong React Native experience across Expo and bare workflows, including native module integration Strong TypeScript skills on both the client and server sides Experience developing Node.js BFF services using frameworks such as NestJS, Fastify, Hono, or Express Hands-on experience designing RPC-style APIs Solid SQL skills, including querying materialized views and retrieving data directly through SQL Experience with Git-based development workflows and regular code reviews Effective daily use of AI coding tools such as Claude Code, Cursor, or Copilot, with the ability to critically assess and verify generated output Product mindset, with the ability to understand business goals, constructively challenge requirements, and drive feature delivery Ability to take ownership and work effectively with evolving requirements English level: B2+ or higher Nice to have Experience embedding React Native functionality into existing native host applications Experience in fintech, banking, or other regulated environments Familiarity with OTA update tools such as Stallion, Hot Updater, CodePush, or Expo Updates Experience with Go

Location: India; Japan; South Korea; Taiwan; Hong Kong; Pakistan About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are seeking highly skilled Aerodynamics and Computational Fluid Dynamics (CFD) Specialists with strong programming capabilities to contribute to a specialized AI training project focused on aerodynamic analysis, engineering simulation, and Python-based computational workflows. This role is particularly suited to engineers who combine a solid understanding of fluid mechanics and applied aerodynamics with practical software development and coding skills. You will create, solve, review, and validate engineering tasks using programmatic, command-line-based workflows. Typical assignments may involve analyzing airfoils, preparing computational domains and meshes, defining boundary conditions, running CFD simulations, calculating lift and drag, and validating whether resulting flow fields are numerically stable and physically realistic. Practical coding ability is essential. We are looking for engineers who can actively write Python code, automate engineering workflows, and work with computational tools—not simply candidates who hold relevant academic degrees without the ability to implement technical solutions. Previous AI experience is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, Southeast Asia, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION MODEL: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on aerodynamics, CFD, engineering simulation, and Python. AI EXPERIENCE: Not required. Key Responsibilities Solve and validate complex aerodynamic and fluid dynamics problems. Translate physical engineering requirements into computational models and solver-ready cases. Create or modify geometries, computational domains, and meshes. Define appropriate initial conditions, boundary conditions, fluid properties, and solver settings. Execute CFD and aerodynamic analysis workflows using command-line-accessible tools. Write Python code to automate preprocessing, simulation execution, parameter sweeps, postprocessing, and validation. Develop scripts and computational workflows for engineering analysis. Calculate and interpret aerodynamic quantities, including lift, drag, pressure distributions, and flow characteristics. Evaluate mesh quality, numerical convergence, solver stability, and physical validity of simulation results. Diagnose non-convergence, unstable solutions, incorrect results, and physically invalid outputs. Select and justify modeling assumptions, mesh strategies, boundary conditions, and solver configurations. Document technical methodologies, engineering decisions, and simulation results. Requirements Candidates should meet one of the following educational pathways: Pathway 1: Master's or PhD in Aerospace Engineering, or Mechanical Engineering with a specialization in aerodynamics, fluid dynamics, or thermofluids. Pathway 2: Bachelor's degree in Aerospace Engineering or Mechanical Engineering, combined with at least 1–2 years of relevant aerodynamics-specific professional or research experience. Additional requirements: Strong understanding of fluid mechanics and applied aerodynamics. Practical experience formulating and executing CFD or aerodynamic analyses. Strong practical proficiency in Python, including the ability to write and debug code independently. Experience using Python for scientific computing, engineering automation, or computational analysis. Experience with at least one engineering tool or library accessible through a command-line interface, scripting interface, configuration files, or programmatic API. Ability to select and justify modeling assumptions, boundary conditions, mesh strategies, and solver settings. Ability to diagnose numerical convergence issues, unstable solutions, and physically invalid results. Strong quantitative, analytical, and problem-solving skills. Ability to communicate technical reasoning and engineering trade-offs clearly. Professional English proficiency at C1 level or higher.

Location: Malaysia; Singapore; Philippines; Indonesia; Vietnam; Thailand About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are seeking highly skilled Aerodynamics and Computational Fluid Dynamics (CFD) Specialists with strong programming capabilities to contribute to a specialized AI training project focused on aerodynamic analysis, engineering simulation, and Python-based computational workflows. This role is particularly suited to engineers who combine a solid understanding of fluid mechanics and applied aerodynamics with practical software development and coding skills. You will create, solve, review, and validate engineering tasks using programmatic, command-line-based workflows. Typical assignments may involve analyzing airfoils, preparing computational domains and meshes, defining boundary conditions, running CFD simulations, calculating lift and drag, and validating whether resulting flow fields are numerically stable and physically realistic. Practical coding ability is essential. We are looking for engineers who can actively write Python code, automate engineering workflows, and work with computational tools—not simply candidates who hold relevant academic degrees without the ability to implement technical solutions. Previous AI experience is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, Southeast Asia, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION MODEL: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on aerodynamics, CFD, engineering simulation, and Python. AI EXPERIENCE: Not required. Key Responsibilities Solve and validate complex aerodynamic and fluid dynamics problems. Translate physical engineering requirements into computational models and solver-ready cases. Create or modify geometries, computational domains, and meshes. Define appropriate initial conditions, boundary conditions, fluid properties, and solver settings. Execute CFD and aerodynamic analysis workflows using command-line-accessible tools. Write Python code to automate preprocessing, simulation execution, parameter sweeps, postprocessing, and validation. Develop scripts and computational workflows for engineering analysis. Calculate and interpret aerodynamic quantities, including lift, drag, pressure distributions, and flow characteristics. Evaluate mesh quality, numerical convergence, solver stability, and physical validity of simulation results. Diagnose non-convergence, unstable solutions, incorrect results, and physically invalid outputs. Select and justify modeling assumptions, mesh strategies, boundary conditions, and solver configurations. Document technical methodologies, engineering decisions, and simulation results. Requirements Candidates should meet one of the following educational pathways: Pathway 1: Master's or PhD in Aerospace Engineering, or Mechanical Engineering with a specialization in aerodynamics, fluid dynamics, or thermofluids. Pathway 2: Bachelor's degree in Aerospace Engineering or Mechanical Engineering, combined with at least 1–2 years of relevant aerodynamics-specific professional or research experience. Additional requirements: Strong understanding of fluid mechanics and applied aerodynamics. Practical experience formulating and executing CFD or aerodynamic analyses. Strong practical proficiency in Python, including the ability to write and debug code independently. Experience using Python for scientific computing, engineering automation, or computational analysis. Experience with at least one engineering tool or library accessible through a command-line interface, scripting interface, configuration files, or programmatic API. Ability to select and justify modeling assumptions, boundary conditions, mesh strategies, and solver settings. Ability to diagnose numerical convergence issues, unstable solutions, and physically invalid results. Strong quantitative, analytical, and problem-solving skills. Ability to communicate technical reasoning and engineering trade-offs clearly. Professional English proficiency at C1 level or higher.

Location: United States; Canada; Australia; New Zealand; United Kingdom About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are seeking highly skilled Aerodynamics and Computational Fluid Dynamics (CFD) Specialists with strong programming capabilities to contribute to a specialized AI training project focused on aerodynamic analysis, engineering simulation, and Python-based computational workflows. This role is particularly suited to engineers who combine a solid understanding of fluid mechanics and applied aerodynamics with practical software development and coding skills. You will create, solve, review, and validate engineering tasks using programmatic, command-line-based workflows. Typical assignments may involve analyzing airfoils, preparing computational domains and meshes, defining boundary conditions, running CFD simulations, calculating lift and drag, and validating whether resulting flow fields are numerically stable and physically realistic. Practical coding ability is essential. We are looking for engineers who can actively write Python code, automate engineering workflows, and work with computational tools—not simply candidates who hold relevant academic degrees without the ability to implement technical solutions. Previous AI experience is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, Southeast Asia, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION MODEL: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on aerodynamics, CFD, engineering simulation, and Python. AI EXPERIENCE: Not required. Key Responsibilities Solve and validate complex aerodynamic and fluid dynamics problems. Translate physical engineering requirements into computational models and solver-ready cases. Create or modify geometries, computational domains, and meshes. Define appropriate initial conditions, boundary conditions, fluid properties, and solver settings. Execute CFD and aerodynamic analysis workflows using command-line-accessible tools. Write Python code to automate preprocessing, simulation execution, parameter sweeps, postprocessing, and validation. Develop scripts and computational workflows for engineering analysis. Calculate and interpret aerodynamic quantities, including lift, drag, pressure distributions, and flow characteristics. Evaluate mesh quality, numerical convergence, solver stability, and physical validity of simulation results. Diagnose non-convergence, unstable solutions, incorrect results, and physically invalid outputs. Select and justify modeling assumptions, mesh strategies, boundary conditions, and solver configurations. Document technical methodologies, engineering decisions, and simulation results. Requirements Candidates should meet one of the following educational pathways: Pathway 1: Master's or PhD in Aerospace Engineering, or Mechanical Engineering with a specialization in aerodynamics, fluid dynamics, or thermofluids. Pathway 2: Bachelor's degree in Aerospace Engineering or Mechanical Engineering, combined with at least 1–2 years of relevant aerodynamics-specific professional or research experience. Additional requirements: Strong understanding of fluid mechanics and applied aerodynamics. Practical experience formulating and executing CFD or aerodynamic analyses. Strong practical proficiency in Python, including the ability to write and debug code independently. Experience using Python for scientific computing, engineering automation, or computational analysis. Experience with at least one engineering tool or library accessible through a command-line interface, scripting interface, configuration files, or programmatic API. Ability to select and justify modeling assumptions, boundary conditions, mesh strategies, and solver settings. Ability to diagnose numerical convergence issues, unstable solutions, and physically invalid results. Strong quantitative, analytical, and problem-solving skills. Ability to communicate technical reasoning and engineering trade-offs clearly. Professional English proficiency at C1 level or higher.

Location: Remote Workplace: Remote Kit https://kit.com/ is the email marketing platform experts choose to grow their audience, deepen their relationships, and build a business around the work they love. For coaches, YouTubers, authors, podcasters, and other creatives, there isn't a better marketing hub to rely on to grow audiences, automate email marketing, and sell digital products — all within one platform. More importantly, there isn't a team more committed to helping creators earn a living. We're on a mission to help creators earn $1 billion using our creator marketing platform. We have always been 100% independent and 100% remote. We are proud to have built a product that our customers love, and we look for people who have enthusiasm and belief in our mission, vision, and values to join our team. We're also embracing AI thoughtfully — both in how we build and how we hire to ensure our team is adaptable, innovative, and ready for what's next. THE ROLE Most Kit creators don't have a dedicated Creator Growth Manager, and when their emails start landing in spam, they need someone who can find the cause quickly and explain it in plain language. We're looking for a Deliverability and Compliance Specialist to own deliverability support for that long tail of creators, run Kit's abuse desk, and make the compliance calls that protect the sending reputation every creator on Kit shares. You'll also build the playbooks, training, and AI-assisted workflows that help Support and contractors handle more deliverability questions on their own, and you'll partner with our infrastructure engineers as we run more of our sending in-house. A creator can't build a lasting business if their emails don't arrive, so this work connects directly to our mission. This is a full-time individual contributor role for someone who likes digging through headers and bounce logs to find the real cause of a problem, can explain DMARC alignment to a first-time creator without jargon, and is comfortable making a firm call when a situation is gray. You don't wait for someone to tell you what needs fixing. You proactively spot opportunities, identify patterns, and take the initiative to improve deliverability before problems arise.   YOUR SUPPORT SYSTEM You'll report to Alyssa Dulin https://www.linkedin.com/in/alyssadulin/, Director of Creator Success, and collaborate closely with: - Our Deliverability team: a Deliverability Lead who supports our highest-value accounts and leads deliverability education, and a Deliverability Specialist who onboards and ramps up large senders moving to Kit - Our infrastructure engineers, who run Kit's sending infrastructure - Our compliance and anti-abuse engineers, who build the automated checks that keep spammers off Kit - Product Specialists and the Support team, who handle the front line and escalate deliverability issues to you - Customer Success Managers (we call them Creator Growth Managers at Kit), Sales and Migrations, and Product Managers   WHAT YOU'LL DO - First Week: Get set up in Kit, our admin tools, and our support and ticketing systems, and meet our distributed team in Get To Know You chats (GTKYs). Meet the deliverability team and get an introduction on the current projects. Read our deliverability playbooks and SOPs, and get access to the monitoring tools you'll use every day: Google Postmaster Tools, Microsoft SNDS, blocklist monitoring, and our internal delivery dashboards. - First Month: Shadow the Deliverability team and Product Specialists on deliverability tickets, account approvals, and abuse reports, then start answering queue tickets with review. Join the daily monitoring rotation (blocklist delisting, Postmaster and delivery monitoring) and the weekly Deliverability team meeting. Learn how account approvals, compliance flags, and our in-house sending platform work. By the end of the month, work deliverability tickets and abuse reports on your own and send your first delisting requests. Project: build a recurring report showing the trending deliverability ticket reasons so we understand what’s causing how to reduce friction for customers and how to solve it - First Six Months: Own the deliverability support queue for creators without a dedicated CGM: spam-folder placement, bounces, authentication and DMARC setup, and escalations from Product Specialists. Own compliance end to end, from new-account approvals and compliance flags to pausing or closing accounts that put our shared reputation at risk.Run Kit's abuse desk. You'll write and share a strategy that covers coverage, response-time targets, escalation paths, and quality checks, then put it in place so routine spam, phishing, and blocklist reports follow clear SOPs while you take the hardest cases yourself. Be the go-to contact for day-to-day mailbox provider issues with Microsoft, Gmail, Yahoo, Comcast, and regional providers, and write an incident runbook for blocklistings and provider throttling. Track the queue with a simple scorecard (volume, first response time, and escalation rate) and share what you learn with the team. Run training sessions for Support and ship your first process or AI improvements, like cleaner ticket categorization or better account data for our AI support agent, so more deliverability tickets get solved without escalation.. - First Year: Deliverability support is faster and more consistent for every creator on Kit, including the ones who never talk to a CGM. Your playbooks, help center articles, and AI-assisted workflows are what Support, CGMs, and contractors reach for first, and fewer tickets need to come to you. You've led at least one cross-team fix with infrastructure for a recurring problem you spotted in the queue, such as an alert when a creator's domain authentication breaks or a check for sudden signup spikes. You're helping shape the internal tooling and alerting our in-house sending needs, and you take part in industry groups like M3AAWG.     WHAT WILL S.E.T. YOU UP FOR SUCCESS   Skills Must haves - Deep working knowledge of email authentication (SPF, DKIM, DMARC, alignment, and BIMI basics), plus the ability to read raw message headers and SMTP bounce and deferral codes - Hands-on use of Google Postmaster Tools and Microsoft SNDS/JMRP, and comfort working with major blocklists (Spamhaus, Abusix, Barracuda, Spamcop, and others) and their delisting processes - A clear understanding of Gmail and Yahoo bulk sender requirements, including authentication, one-click unsubscribe (RFC 8058), and spam-rate thresholds - Data fluency: you can pull bounce, complaint, and engagement data together, find the root cause, and explain it so others can act on it - Hands-on abuse handling: you can work an abuse report or escalation start to finish, from finding the account and assessing the evidence to acting, replying to the reporter, and documenting the decision - Process building: you can turn repeat work into SOPs, playbooks, and quality checks that a contractor or teammate can follow - Clear, calm written communication with creators, teammates, and postmasters - Using AI tools to research, summarize, and draft, and helping teammates do the same, with the judgment to keep a person on final compliance calls Nice-to-haves: - Experience with MTA logs or delivery observability tools (KumoMTA, PowerMTA, Postfix, Kibana/Elasticsearch, or SQL and BI tools like Mode) - Familiarity with feedback loops, spam traps, list bombing, and bot-signup patterns - Familiarity with CAN-SPAM, CASL, and GDPR as they apply to marketing email - Experience with Intercom, HubSpot, or a similar ticketing tool - Experience building or tuning AI support workflows or macros Experiences Must-haves: - 4+ years in email deliverability, compliance, trust and safety, or technical support at an ESP, mailbox provider, or high-volume sender - Handling escalated customer tickets end to end, including with customers who are frustrated - Making account-level compliance or abuse decisions, such as approving, suspending, or closing accounts - Working an abuse desk or abuse mailbox directly: spam and phishing complaints, provider and blocklist reports, and escalations - Leading the fix for a recurring deliverability or compliance problem that needed help from more than one team Nice-to-haves: - Supporting senders on shared IP pools at an ESP - Setting abuse or trust and safety strategy, or directing contractors or vendors on a support or abuse queue - Working directly with mailbox provider postmaster teams - Participating in M3AAWG or other industry groups - Creating educational content, like help docs, training, workshops, or podcasts - Working with creators, digital entrepreneurs, or small businesses Traits - You pick up problems that fall between teams without waiting for permission, and you follow them through until they're closed. - You test a hypothesis against the evidence before you act, and you frame problems clearly enough that others trust your analysis. - You protect the reputation every creator shares while staying fair and kind to the creator in front of you, and you help them understand the reasoning behind a decision. - You turn what you learn into docs, templates, and training that others use, and you adjust how you teach to fit the audience. - You hold a high bar for your work, and you push back respectfully, with data, when something puts our reputation at risk, even when Sales or leadership would prefer a different answer. - You share in-progress work and risks early so the team can solve problems together.   WHAT WON'T SET YOU UP FOR SUCCESS - Treating deliverability as a set of macros rather than an investigation that needs judgment - Discomfort saying no to a creator or a teammate when our shared reputation is at stake - Waiting for someone to assign you work when you can already see the problem - Needing a fixed playbook, since our sending stack and processes are changing as we bring more sending in-house - Keeping knowledge in your head instead of writing it down for the next person - Preferring to work without AI tools   WORKING HOURS AND LOCATION We're 100% remote with team members across the globe. We work mostly on East Coast time - so if you're based on the West Coast of the United States, Europe, or Asia, you might have a few early mornings or late evenings. We do our best to keep things reasonable, but a little time zone juggling comes with the territory. For this role, we're looking for someone based in North America, with working hours that give us solid US time zone coverage of the deliverability queue.   COMPENSATION + PERKS + BENEFITS Kit has standardized salaries based on position, no matter where you live. For this role, we're hiring at our level 3 ($118,000 USD). Level is determined based on experience and our interview process.   PERKS + BENEFITS INCLUDE: - Profit Sharing https://www.linkedin.com/feed/update/urn:li:activity:7454911054947688448/ - Kit equity - 401k with a 5% match - We cover up to $2,280 per month toward medical premiums, with dental and vision premiums fully covered. We offer Health Insurance plans through Aetna - $2,000 equipment allowance for your first two years, $1,000 budget every following two years. Company-provided laptops are issued to every Kit team member and are not included in the equipment budget - Individual learning + development budget ($3,500/year) - Creator meetup budget ($50/month) to connect with creators over coffee, lunch, or other in-person meetups - Gender affirming benefits - Childcare benefit up to $3,000 annually through JOON - Twenty (20) days of paid time off during each year of employment - Paid paid vacation: An after-tax bonus of $1,000 for taking five consecutive days of vacation where you’re fully unplugged from work - Ten (10) paid holidays a year - Two weeks of paid sick time each year, including mental health + well being days - Twelve (12) weeks paid parental leave and flexible scheduling in your child’s first year - Up to six weeks of paid bereavement leave, medical leave, and disaster after six months of employment, two weeks of each paid leave in your first six months - Winter Break Closure: Kit closes for a week at the end of December, giving everyone a collective break to enjoy the holiday season. Essential support services remain available, with teams coordinating to ensure coverage during this period - Four-week, paid sabbatical after five years with the team - Fantastic in-person or virtual retreats with the team twice a year   HOW TO APPLY We usually receive a large number of applications, and our goal is to follow up with you within two weeks. You’ll hear from us either way. Here’s what you can expect from the rest of our hiring process: 1. A phone screen with our recruiter (30 min) 2. Hiring manager interview (45 min) 3. Take-home assignment 4. Panel interview (60 min)   We’ll keep you informed through every step. To get started, complete this application, including a cover letter and answers to the questions on the next page. We read every single application, and your cover letter and responses help put your experience into context. Kit is an equal opportunity employer We value diversity in all of its forms. Research tells us that applicants who are female or non-binary, as well as applicants who are people of color, are less likely to apply for roles they do not feel 100% qualified for. If you think you meet more than 50% of our requirements but fewer than 100% of them, please apply. We’re imperfect communicators, so think of our job postings as the starting point for discussion rather than proof that you shouldn’t apply. Kit does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

Location: Barcelona Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Checkout.com http://Checkout.com is actively looking for an enthusiastic and talented Enterprise Account Executive to join our Commercial Payments Team to drive rapid growth across various industries for our revolutionary online payment solution. If you are a driven and focused salesperson with a proven track record of success selling direct payment solutions to enterprise companies, in a high-growth and competitive environment, this is the role for you. In return, on top of a tremendous working environment, we offer you an unrivaled uncapped recurring commissions plan, hybrid work model and competitive benefits package. The Enterprise Account Executive will play a key role in growing Checkout.com http://Checkout.com’s payments footprint. They will be responsible for selling Checkout.com http://Checkout.com’s full payments technology stack to middle market and large enterprise organizations. Along the way, you'll collaborate closely with various in-house talents across Technology and Business to position our capabilities, products, services and solutions effectively with prospects. Desire an independent, high-achieving individual that stands out in an entrepreneurial environment and has the grit and desire to outperform sales targets. How you’ll make impact: - Acting as a consultative Payments strategist able to advise companies on an optimal payments structure that pulls from a myriad of solutions Checkout.com http://Checkout.com provides - Identify, qualify and close the most promising prospects and partners that will help Checkout.com http://Checkout.com grow a healthy pipeline across various verticals. - Build prospect engagement strategies and partner with marketing, business development, product and other departments to build qualified that pipeline in cold and warm channels - Pitch our next-generation payment solutions and value-added services - Prepare high-quality presentations and proposals for C-suite stakeholders at prospective merchants, and implement winning negotiation strategies - Become the expert on Checkout.com http://Checkout.com’s technology stack, help new merchants understand the value of Checkout.com http://Checkout.com to solve their pain points, and handle detailed questions about our product capabilities. - Orchestrate the entire Sales process, drive urgency and work to mutual action plans, and act as the main point of contact for merchants and internal stakeholders. - Maintain a solid, well-organized portfolio and nurture key accounts by having a deep understanding of their industry, pain points, and needs. - Partner with other Payment Sales Managers to share best practices, key business insights and industry trends. - Provide feedback on local trends including competitor insights, customer needs, sales, product and marketing information. Qualifications: - 3+ years Enterprise Sales experience directly in the Payments industry - Track record of high performance, and self sourcing leads - Highly motivated and committed to growth and development with excellent communication skills - Solid network of potential prospects and partners within the payments landscape - Tech-savvy, with a passion for Fintech and Payments - Strong commercial acumen, ability to effectively negotiate complex structures - Fluent in Spanish and Portuguese Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: United States (Remote) Workplace: Remote ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE As a Product Designer at OnePay, you’ll design the customer journeys that shape how people manage their money — turning complex financial tasks into simple, human experiences. You’ll work across product areas, partner closely with PMs and engineers, and bring ideas from early exploration through delivery. You’ll be part of a small, experienced team where ownership is shared and feedback is part of the rhythm. You will: - Design and ship end-to-end experiences across OnePay’s product surfaces - Translate goals and requirements into clear, intuitive interfaces - Work closely with product, engineering, and brand partners to bring ideas to life - Use and evolve our design system in collaboration with the Core Design team - Contribute to critiques and reviews that raise the bar for quality and clarity - Move with intent, learn fast, refine often, and ship regularly   YOU BRING - 4+ years designing for digital products, ideally mobile-first - A portfolio that shows clarity of thought, solid interaction design, and attention to detail - Fluency in Figma and comfort working within established design systems - Strong communication skills; you can explain reasoning and trade-offs clearly - Curiosity about how products work and how design drives business outcomes - Ability to manage ambiguity, prioritize effectively, and see work through - Comfortable using AI to augment and accelerate the design process, with a curiosity to experiment, learn, and grow - Drive and proactivity – everyone here is a builder and executor WHAT WE OFFER - Competitive base salary, stock options, and health benefits from Day 1 - 401(k) plan with company match - Remote-friendly (US), flexible time off (FTO), and opportunities for growth - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: Moldova OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy We are looking for a proactive and detail-oriented General QA Engineer to help ensure the quality and reliability of our product. In this role, you will combine manual and automated testing, build and maintain scalable Playwright test suites, leverage AI-powered tools to increase efficiency and work closely with engineering and product teams to deliver a seamless user experience. As part of our team, your responsibilities in this role will include: Automates validation across UI, APIs, dashboards Maintains reusable test systems, flakes analytics Development and maintenance of a suite of e2e/UI tests in Playwright (TS), covering critical user scenarios. Use of AI in work Practical use of LLM tools (e.g., ChatGPT, GitHub Copilot/Codeium) to optimize the execution of testing tasks. Performing manual testing of features (planning, test design, regression, exploratory). Integration and optimization of test runs in CI (parallelization, stabilization, flakiness metrics). Setting up reporting and observability for automated tests (traces, video, flake analytics). Collaboration with engineering and product: requirements clarification, help reproducing defects, and improving testability. Maintaining the quality of test data and environments. Our ideal candidate possesses the following skills: 3–5 years in QA, including 1.5+ years in automation using JavaScript/Playwright. Strong Playwright: Test Runner, fixtures, projects, parallelization, and sharding. Auto-wait/locators, stable selectors, working with flakes (timeouts, retries, expect.poll). BrowserContext/Page, environment isolation, test data management. Tracing, video/screenshots, network mocking (route), APIRequestContext. Page Object/Screenplay patterns, project structure, reusability. AI & No-Code Integration: Building test workflows in n8n, Zapier, Gumloop. Use of no-code tools as part of the automated test infrastructure. AI-Enhanced Testing: Practical use of LLMs (e.g., ChatGPT, Copilot). Explore AI QA tools (Testim, Diffblue, CodiumAI, Mabl). JavaScript/TypeScript at advanced mid-level: Async/await, promises, modules, TS typing, interfaces, generics. NPM/Yarn, Node.js scripts, ESLint/Prettier configuration. API testing: REST, Postman/Swagger. Browser DevTools: network, storage, cookies, CORS, headers, status codes. Databases: solid SQL, basic work with test data. CI/CD and VCS: Git (branching, PR, code review). Integration of automated tests into CI (GitHub Actions/Jenkins), artifacts, and reports. Running tests in containers/headless, dependency management, and caching. Manual testing: Requirements analysis. Creation of all types of test documentation. Test design techniques. Types of testing. English: reading documentation and written communication (Intermediate+). Ukrainian and/or Russian language proficiency is a must. What we offer: Opportunity to shape the backbone systems of a modern, data-driven digital company A collaborative, innovation-first environment that values initiative and experimentation Reduced working hours on Fridays during the summer Days off on US national holidays and your birthday Schedule: Monday–Friday, 1 PM – 9 PM EET (including 1 hour break) Why join us? You’ll be at the intersection of technology, process innovation, and business growth – building systems that empower our teams to work smarter, faster, and more collaboratively. If you’re a strategic thinker who loves turning complexity into clarity and ideas into scalable solutions, we’d love to meet you.