Вакансии

- Сильный опыт в ML, Deep Learning, NLP и LLM. - Практический опыт создания AI-продуктов, работающих в production и в большом масштабе.

Location: Ireland, Dublin Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. We are looking for an experienced Senior Data Engineer to design, develop and operate trusted, scalable data solutions that power decision-making and transformation across Sony Interactive Entertainment (SIE). Working within Enterprise Data Engineering, you will build reusable data pipelines, integration services and curated data products for business domains including Finance, Supply Chain, IT Operations, People & Places, and Sales & Operations. You will partner with engineering, platform, product and business teams, take end-to-end ownership of complex solutions, and raise engineering standards through technical leadership and mentoring. You will help create reliable, governed and AI-ready enterprise data foundations. Responsibilities Design and deliver enterprise data solutions ·       Design, build, test and maintain robust batch and near-real-time data pipelines and ETL/ELT workflows across enterprise systems, APIs, SaaS platforms and cloud data environments. ·       Develop reusable, well-documented data models and domain-aligned data products, translating complex business logic into reliable engineering solutions. ·       Lead technical design for assigned initiatives, evaluate trade-offs, and ensure solutions are scalable, secure, maintainable and cost-effective. Own quality, reliability and operations ·       Own solutions throughout the engineering lifecycle, from requirements and design through deployment, monitoring, incident resolution and continuous improvement. ·       Implement automated testing, data validation, reconciliation, lineage, observability, alerting and operational runbooks. ·       Apply engineering practices including version control, code review, CI/CD, infrastructure automation and appropriate change controls; improve performance and platform efficiency. Provide technical leadership and collaborate ·       Mentor engineers, lead technical reviews and contribute to shared patterns, coding standards and communities of practice. ·       Partner with business stakeholders, architects, security, governance, analytics and platform teams to clarify requirements, dependencies and data ownership. ·       Proactively identify delivery risks, technical debt and cross-team dependencies; communicate progress, options and recommendations clearly. ·       Enable trusted data for analytics, planning, automation and AI use cases while respecting privacy, security and access controls. Skills and Qualifications ·       Typically 6+ years of professional data engineering or software engineering experience, including ownership of complex production data solutions. ·       Strong hands-on SQL and Python skills, with experience in distributed data processing using PySpark and/or Databricks. ·       Experience designing data pipelines and transformations using modern ETL/ELT tools and frameworks, such as dbt, Ab Initio or equivalent technologies. ·       Solid experience with cloud data platforms and warehouses, particularly Snowflake; knowledge of data modelling, dimensional design and data product principles. ·       Experience with orchestration, Git-based workflows, automated testing, CI/CD, monitoring and troubleshooting production data services. ·       Understanding of data security, access management, data quality, governance and regulatory considerations in enterprise environments. ·       Ability to influence technical decisions, mentor peers and communicate effectively with engineering and non-technical stakeholders. ·       Bachelor’s degree in a relevant discipline or equivalent practical experience. Desirable Experience ·       Enterprise integration experience with SAP S/4HANA, financial planning systems, supply chain applications, ServiceNow or HR platforms. ·       Experience with AWS services, APIs, event-driven integration and infrastructure as code. ·       Experience building reconciled financial data, master/reference data or enterprise operational data products. ·       Exposure to AI/ML data preparation, data observability, metadata management and modern data governance practices. ·       Experience working with globally distributed teams and supporting cross-functional transformation programmes. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. €87.800 — €131.800 EUR Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Remote Workplace: Remote ABOUT US At Eneba, we're building an open, safe, and sustainable marketplace for the gamers of today and tomorrow. With over 20 million active users and counting, our marketplace brings together gamers from around the world, providing a trusted, accessible, and secure platform for discovering and purchasing digital products. We're proud of what we've achieved so far, but we're just getting started. Join us as we continue to scale, expand our product portfolio, and shape the future of gaming marketplaces. ABOUT THE TEAM Behind every great product is a team dedicated to keeping it safe. At Eneba, our Fraud & Risk Operations team plays a critical role in protecting our marketplace, maintaining user trust, and ensuring secure and fair transactions across our products. We're looking for a Fraud Analyst to take ownership of fraud detection and prevention for one of our products. You'll identify suspicious patterns, investigate emerging risks, develop effective countermeasures, and continuously improve our fraud prevention processes. If you're analytical, proactive, and enjoy solving complex problems while making a measurable impact, we'd love to hear from you.   RESPONSIBILITIES - Take full ownership of fraud detection and prevention for one of Eneba's products, from identifying risks to implementing solutions. - Analyze large datasets to identify fraud patterns, anomalies, and emerging attack vectors. - Design, implement, and continuously optimize dynamic fraud detection rules that scale with the business. - Monitor and improve false positive rates, balancing effective fraud prevention with conversion and customer experience. - Analyze conversion, rejection, and verification drop-off rates to identify opportunities for improvement. - Develop and maintain fraud detection logic, alerts, and workflows that support Fraud Specialists in their daily operations. - Collaborate with Product, Commercial, Data, and Engineering teams to strengthen fraud prevention and verification processes. - Track fraud trends and key risk indicators, translating findings into clear, actionable recommendations. - Take accountability for decisions and outcomes, continuously refining fraud prevention strategies based on results.   REQUIREMENTS - Proven experience in fraud analysis, payments risk, or risk management, with clear ownership over outcomes. - Experience writing and monitoring dynamic fraud risk rules. - Effective communication skills, able to explain complex topics in simple words adjusted for different stakeholder groups. - Solid understanding of fraud patterns, user behavior, and KRIs. - Confidence in making data-backed decisions and owning the impact of those decisions. - Strong problem-solving and critical thinking skills. - Full professional proficiency in English. PREFERRED, BUT NOT REQUIRED - Experience working with SQL to analyze datasets and investigate fraud patterns. - Previous experience in fintech, payment processing, marketplaces, or high-growth product companies. - Familiarity with analytics platforms such as Databricks and Mixpanel. - Experience with Know Your Customer (KYC) verification processes. - Experience working in international, multi-market environments.   WHAT IT'S LIKE TO WORK AT ENEBA - Make an impact by helping scale a unique product and contribute to a growing global gaming marketplace. - Opportunity to participate in Eneba's Stock Options program, subject to eligibility. - Access to applicable performance-based bonuses and referral programs. - Benefit from a personal learning budget, regular feedback, and clearly defined development and progression opportunities. - Take advantage of paid volunteering opportunities, where eligible. - Enjoy additional paid time off, where included in your engagement terms.   READY TO JOIN US? We'd love to learn more about you! Please submit your CV in English. To learn how we handle your personal data during recruitment, please review our Candidate Privacy Notice https://www.eneba.com/candidate-privacy-notice.

As Director of Delivery Solution Architects (DSA), Public Sector, you will lead a high-impact post-sales technical organization that helps government customers realize value from the Databricks Data Intelligence Platform. Build and lead: Recruit, coach, and scale a diverse, high-performing team of DSAs and managers.

Location: Denver, CO, United States About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. Overview: Fanatics Betting & Gaming (FBG) is hiring a Senior Analyst, Operations Automation to dig into the customer experience inside our AI agent conversations. Containment and resolution are the numbers you'll live in, and you'll work them at a level of detail nobody else here has time for: one case type, then one subtype, then the next one. In practice that means picking up a subtype with your manager, reading through a stack of real conversations, and working out what's actually going wrong. Sometimes customers get stuck in the same spot over and over. Sometimes a live agent clears the same contact in two minutes because they can check something the AI can't reach yet. Sometimes the AI is doing roughly the right thing badly: the tone is off, the knowledge article behind it is thin, or the prompt is pushing it down the wrong path. Finding the problem is half the job. The other half is making the case for the fix — what it's costing us now, what the fix is worth, and a story clear enough that a Product partner can act on it. You'll build that case and bring it into intake alongside your manager. We would rather hire someone solid at both halves than someone brilliant at one. This is a role where you learn the craft of AI customer experience with real ownership of the analysis from day one. You'll sit on the team that owns FBG's AI customer experience and work with Data, Quality, Product, and CX week to week. Responsibilities: Maintain and report the key metrics for our customer-facing AI agent — containment, resolution, deflection, escalation rate, repeat contact, and customer satisfaction at a case and subtype level. Be part of the team that stands up measurement for each new AI surface as it launches, so no surface goes live without a definition of success and the instrumentation to track it. Build and maintain the BI views and dashboards your team and Product partners use to read AI performance, and keep them accurate as products, policies, and promotions change. Write the data requirements — event definitions, tagging, table structures, and data quality checks — the metrics depend on, and partner with Data to get them built. Flag it early when a number stops being trustworthy. Knowing when your own data is wrong matters as much as reporting it. Find where customers get stuck Run deep dives at the case type and subtype level to find the stall points inside the AI interaction — where customers rephrase the same question, loop, go silent, abandon, or ask for a human, and what preceded it. Quantify each stall point so it can be ranked: how often it happens, which subtypes and markets it concentrates in, and what it costs in escalations, repeat contacts, and resolution loss. Pull together signals from more than one place — conversation data, interaction quality scores, customer and associate feedback, behavioral data, and operational metrics — into one view of what's actually driving the number. Distinguish issues worth fixing from noise, and be candid about which is which. Compare the AI to how live agents handle it Compare how live agents resolve a contact type to how the AI agent handles the same contacts, and identify what agents are doing that the AI cannot do yet — the lookups they run, the tools they touch, the actions they take. Write up each gap as a clear, specific finding: what the AI would need to close it, and the containment or resolution upside if it did. Pay attention to the escalation boundary. Where the AI hands off, look at whether it had to. Point to the right fix Sort root causes well enough to route them to the right owner and the right lever — grounding and knowledge content, prompt and instruction design, tone, tool access, handoff timing, or underlying policy ambiguity. Where the AI is already doing the right thing badly, describe the change specifically: what the grounding should say, where the tone misses, which instruction is producing the wrong behavior. Work with content, grounding, and engineering partners to get your finding specified tightly enough to be built and tested. Run recurring performance reviews on the case types you own, and keep a ranked, evidence-backed list of the opportunities in them. Build the story Turn a pile of conversations and queries into a clear, evidence-backed narrative — the pattern, the representative examples, the size of the problem, and the specific ask. Quantify the impact of a proposed fix — contacts avoided, resolution lift, handle time, cost, customer experience — with assumptions you can walk someone through. Package findings into business cases and recommendations a Product partner can act on without a translation layer, and bring them into intake with your manager. Follow what you handed off through to delivery, then measure whether it did what you said it would. Report back on what shipped, what moved, and what didn't, so the next prioritization conversation starts from evidence. Partner and communicate Work closely with Data, Product, Quality, and CX, and build the relationships that make your findings land. Translate your analysis into clear language for technical and non-technical audiences alike. Write up findings and recommendations clearly, and contribute to the leadership-facing materials your team produces. Share what you learn. Much of what you find will be new to the people around you, and writing it down so the team can use it is part of the work. Required Qualifications: 2+ years in business analytics, data analysis, business operations, customer experience analytics, or a closely related role. Strong SQL. You can independently pull, join, and validate data across large datasets without waiting on someone else to write the query. Experience owning the recurring reporting and analysis behind a metric, and being accountable for the quality of it. Experience building BI views and dashboards (Tableau, Looker, Power BI, Sigma, or similar) that other people actually use to make decisions. Ability to move from "the number moved" to "here's the specific root cause, here's roughly what it's worth, and here's what I'd fix." Diagnostic instinct matters more here than modeling sophistication. Comfort working directly in unstructured conversation data — reading transcripts at volume, spotting the pattern, and then proving it quantitatively rather than stopping at anecdote. Experience writing up findings and recommendations for partners who don't report to you, and seeing some of them acted on. Conceptual understanding of how LLM-powered systems behave — prompting, retrieval-augmented generation (RAG), knowledge grounding, and evaluation — enough to tell a grounding problem from a prompt problem from a tool gap. Clear written and verbal communication. You can write a one-pager someone reads once and understands. High intellectual curiosity and an AI-first approach to your own work. Preferred Experience: Experience analyzing conversational data from chatbots, voice systems, or agent-assist tools in production. Comfort with Snowflake, Databricks, or a comparable cloud data platform, and with dbt or similar transformation tooling. Python or R for analysis beyond what SQL handles cleanly. Background in customer experience, contact center, or support operations analytics — particularly anything that involved understanding how human agents actually resolve contacts. Hands-on experience writing or editing knowledge content, groundings, or prompts for an AI system. Experience in sports betting, gaming, fintech, payments, or another high-growth, regulated consumer industry. Experience partnering with ML or Data Science teams on evaluation frameworks, A/B testing, or experiment design. Familiarity with knowledge base architecture and how content quality drives AI answer quality. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $86,000 — $115,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Задачи: — вести сбор требований с бизнес‑стейкхолдерами — проектировать модели данных по паттернам medallion‑архитектуры (bronze/silver/gold) — строить и оптимизировать ETL/ELT‑пайплайны с dbt — настраивать проверки качества данных (Great Expectations) — оптимизировать Spark‑джобы под SLA — диагностировать проблемы в многосистемных пайплайнах — поддерживать документацию и runbook’и Требования: — от 5 лет опыта в Data Engineering — продвинутое владение Python, Spark и SQL — опыт работы с AWS и Databricks — знание Kafka и инструментов современного Data‑стека (dbt, Airflow или аналогов) — понимание dimensional‑моделирования (star/snowflake‑схемы) — понимание принципов проектирования хранилищ данных и архитектур (lambda, kappa, lakehouse) — умение структурировать задачи для работы с ИИ‑ассистентами — знание топологий систем — уровень английского — Intermediate и выше.

Location: Europe Workplace: Remote ABOUT ENEBA At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers.    ABOUT THE TEAM  Behind every groundbreaking product, there’s an awesome team - Fraud & Risk Operations is one of the cornerstones of Eneba’s success. This team plays a critical role in safeguarding our platforms, protecting user trust, and ensuring that every transaction - whether on our core marketplace or in other products - is as secure and fair as possible. We’re looking for a Fraud Specialist who is passionate about analyzing fraud patterns, identifying anomalies, and helping us build robust systems that keep our users and platform safe. If you're a self-starter with a passion for finding anomalies and closing loopholes before they become threats - this is your team. Responsibilities - Review alerts daily. Work through fraud and payment alerts and decide whether each case is fraud, a false positive or needs escalation. - Investigate transactions manually. Check orders and accounts for third-party fraud signals (stolen cards, account takeover, linked accounts) and record a clear decision. - Recover good customers. Review blocked orders for false positives and flag patterns that keep blocking legitimate buyers. - Label cases for our risk models. Tag reviewed transactions accurately so our in-house rules and models learn from them. - Answer PSP and law enforcement requests. Reply to payment provider and police requests within SLA and escalate high-impact ones to Analysts. - Support Customer Support. Resolve fraud-related tickets from CS so they can give customers a fast, correct answer. - Prepare dispute evidence. Gather and enrich order data for chargeback representment. - Spot and escalate trends. Raise new attack patterns, spikes or rule gaps to Analysts with the evidence behind them. - Keep SOPs current. Update guides when a process or pattern changes. Requirements - 1+ year in fraud operations. Hands-on case review in e-commerce, fintech, payments or a marketplace. - Third-party fraud knowledge. Understanding of card-not-present fraud, stolen cards and account takeover. - Strong pattern recognition. You spot inconsistencies across orders, accounts and devices and explain why they matter. - Root cause thinking. You ask why a case happened and propose a follow-up action, beyond closing the ticket. - Clear written & spoken English. You write precise replies to PSPs, authorities and internal teams. - Daily AI and data tool use. You work comfortably with spreadsheets, back-office tools and AI assistants. - Prepare dispute evidence. Gather and enrich order data for chargeback representment. Nice to have - Payments fundamentals. 3DS/SCA, authorisation flows and decline reasons. - Card scheme rules. Chargeback reason codes and fraud monitoring programs such as Visa VAMP and Mastercard ECM. - SQL or Databricks. Enough to pull and filter your own case data. - Rule-based systems. Experience with risk rules, scores or fraud vendor dashboards. - Digital goods or gaming background. Gift cards, game keys, top-ups. - Cross-functional collaboration. Experience working with Customer Support, Payments, Product or Data teams to resolve cases and improve processes. What it’s like to work at Eneba *Opportunity to help scale a unique product.  *Various bonus systems: performance-based, referral, additional paid leave, personal learning budget. *Paid volunteering opportunities. *Work location of your choice: office, remote, opportunity to work and travel. *Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes.

As a Deployment Strategist (DS), you are the critical bridge between a customer's multi-million-dollar business problem and Databricks' technical solution. You are a product manager for the field, owning the technical and product direction of the engagement from initial discovery through production launch and adoption.

Engage with Solutions Architects to understand the full use case demand plan for prioritized customers. Lead the post-technical-win account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts.

Location: Athens, Greece; Thessaloniki, Greece About the Role We are seeking an AI/ML Engineer - python developer to join our software development team. You will work on challenging international projects, using cutting-edge technology to deliver ML and AI solutions for major international public organizations. The role offers rapid career growth and real exposure to high-impact, large-scale work. What You Will Do Implement advanced ML solutions and model deployment strategies (MLOps); Build advanced Generative AI components and pipelines, including RAG architectures, orchestration layers and evaluation frameworks; Contribute to AI governance, observability, monitoring and responsible AI practices; Contribute to the design and documentation AI solutions; Contribute to python implementation tasks and implementation of micro-services using frameworks such as FastAPI, Flask, Pydantic. etc. Requirements A university degree in IT or a related field; Very good knowledge of python, pandas, numpy, scipy, matplotlib, seaborn; Good knowledge of  FastAPI, Flask, Pydantic, SQL Alchemy; Hands-on experience in use and integration with leading LLMs and SLMs; Familiarity with AI frameworks such as LangChain, LangGraph, Haystack; Familiarity with major ML frameworks such as PyTorch and TensorFlow, and with model formats such as ONNX; Excellent command of English, written and spoken. Nice to Have Experience designing and implementing AI/NLP pipelines (AI Ops / NLP Ops); Familiarity with AWS SageMaker and / or  Azure Machine Learning platform; Familiarity with cloud platforms such as AWS or Azure; Familiarity with Big Data systems such as Spark (PySpark) and/or Databricks. Benefits We believe in rewarding talent and dedication. Here's what you can expect as part of our team: Competitive full-time salary; Private Health Coverage on the Company’s group program; Flexible Working Hours; Top-of-the-Line Tools; Professional Development: Benefit from language courses, specialized training, and continuous learning opportunities; Career Growth: Work with some of the most innovative and exciting specialists in the industry; Dynamic Work Environment: Thrive in a setting that offers challenging goals, autonomy, and mentoring, fostering both personal and company growth. If you want an exciting challenge, work with some of the coolest technologies, and enjoy your time doing it, then join us! Submit your detailed CV in English, quoting reference: ( JA/ME-PD/11/26 ). You may also consider all our other open vacancies by visiting the career section of our website ( www.eurodyn.com ) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. EUROPEAN DYNAMICS (ED) ( www.eurodyn.com ) is a leading European Software, Information, and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1100 engineers, IT experts, and consultants (around 3% PhD, 41% MSc, and 54% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies, and national government Administrations in 40 countries and 4 continents. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion. EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published at www.eurodyn.com/privacy . By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line with the Policy.

Location: United Kingdom; Poland; Portugal; Spain; Germany; The Netherlands Workplace: Remote Recognized on the 2025 Forbes Cloud 100 list https://www.forbes.com/companies/clickhouse/?list=cloud100, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 4,000 customers and $250M ARR https://clickhouse.com/blog/clickhouse-tops-250m-arr-and-4000-customers, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. The company's sustained, accelerating momentum was recently validated by a $400M Series D financing round https://clickhouse.com/blog/clickhouse-raises-400-million-series-d-acquires-langfuse-launches-postgres. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla. We're on a mission to transform how companies use data. Come be a part of our journey! We're hiring a Product Manager to own partner integrations at ClickHouse. This role owns how ClickHouse shows up inside the platforms our customers already use: embedded, native experiences across the hyperscalers and developer platforms, and deeper technical integrations with strategic partners like dbt, Fivetran, Hex, and Sigma. There is a growing surface of partner work already in motion, and this role shapes where we invest in co-innovation opportunities. This is one of the most cross-functional roles at ClickHouse. You'll work across multiple engineering teams, our partnerships and solutions teams, and the partners themselves to deliver meaningful co-innovation and integrations with complementary technologies. You'll own the technical side of our House Mates partner program and be the person who navigates the multi-org reality of getting an integration certified, listed, and live. This is a hands-on role: you'll write the specs, run the partner calls, drive certification processes, and coordinate across teams to get things over the line. YOU WILL - Own the product strategy, roadmap, and execution for ClickHouse's Cloud integrations with strategic partners - Seek out complementary innovation opportunities with partners. Define what a "better together" integration looks like with each strategic partner, and drive it from joint roadmap through launch. - Navigate the trade-offs of embedded integrations: billing and metering, identity and auth, security and data residency, and coordination across ClickHouse and partner teams. - Project-manage complex, multi-org launches: marketplace listings, certification processes, partner co-marketing, and GA timelines across multiple organizations. - Own the technical standards and certification criteria for integrations submitted through the House Mates partner program. - Measure and communicate co-innovation business impact, adoption and product strategy to executive leadership. - Represent ClickHouse externally at partner events and in joint content. YOU BRING - Experience shipping integrations into third-party platforms before: hyperscaler marketplaces, embedded or native integrations, ISV partnerships, or OEM/white-label work. - An understanding of the trade-offs that make or break a partner integration, billing, auth, security, cross-team dependencies, and have made those decisions in the past. - A strong project management lens and are comfortable owning a launch that depends on five teams across two companies. - Patience and resilience with partners who are unresponsive or have their own competing priorities, and you find creative ways to keep things moving anyway. - Technical ability to understand an integration end to end, from provisioning and auth to billing and data flow, and to hold a credible conversation with engineers about APIs, architecture, and technical trade-offs. - Energy and excitement for external-facing work: partner calls, customer conversations, and representing the product publicly. - Hands-on and high ownership ability. You write the specs, run the partner calls, and stay close to the details. - Comfort in ambiguity and fast-moving environments. PREFERRED QUALIFICATIONS - Hands-on experience building partner integrations with hyperscalers and modern technology companies. - Experience running or supporting a technology partner program. - Background at a database or data infrastructure company; familiarity with ClickHouse or peers like Snowflake, BigQuery, or Databricks. - Experience working in remote, multi-timezone environments. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Bengaluru, Karnataka, India, APAC From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We’re looking for a Staff Technical Writer to write and edit enterprise documentation that empowers our customers to use Fivetran and understand how our data warehouse, database, and data lake products work. You’ll collaborate with engineers, product managers, support engineers, and other technical writers. You join a friendly team of technical writers distributed among our international offices. This is a full-time position based out of our Bangalore office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Documentation-as-code tools, including Markdown, Git, GitHub, and CI/CD workflows Data platforms such as Snowflake, Databricks, and BigQuery Cloud storage services such as Amazon S3, ADLS, and GCS Collaboration and project management tools such as Jira and Slack What You’ll Do Create and maintain clear, accurate product documentation and release notes that help customers succeed. Review and refine customer-facing content, including error messages and UI text. Use a docs-as-code approach to co-author documentation with engineers, product managers, and contributors across the company. Improve existing documentation by ensuring technical accuracy, clarity, and consistency. Collaborate with a global writing team to define and evolve documentation standards, style, and terminology. Partner with engineers, SMEs, and cross-functional teams to deliver best-in-class technical documentation. Contribute to style guides, templates, and other shared resources that raise the bar for all company content. Act as a writing resource for other teams, helping improve content quality across the organization. Skills We’re Looking For Extensive expertise in data warehouse and data lake documentation: 8+ years of experience documenting data warehouses, databases, data lakes, and cloud applications for a US-centric audience. Deep technical knowledge: Experience with complex data lake and data warehouse technologies, cloud platforms (AWS, Azure, GCP), data pipelines (ETL/ELT), and replication techniques. Scripting, automation, and AI proficiency: Skilled at leveraging scripting, automation, and AI tools to streamline documentation workflows and enhance technical content delivery. Exceptional communication skills : Proven ability to craft clear, concise, and accurate documentation; strong technical editing abilities; impeccable grammar; and consistent application of style guides. Documentation leadership: Expertise in content planning, creation, and review processes, with a track record of implementing best practices that elevate documentation quality. Project management and organizational skills: Experience leading documentation projects, mentoring writers, managing competing priorities, and adapting to change while delivering high-quality results. Collaboration and customer focus: Strong history of working with engineers, writers, and globally distributed teams, translating customer needs into improved documentation that drives customer success. Bonus Skills​ Experience working at technology companies with globally distributed technical writing teams documenting enterprise-grade products or services. Understanding of the nuances of complex documentation lifecycles and experience working in an Agile environment. Experience working in a docs-as-code environment, GitHub, Markdown, CLI, and HTML. Understanding of cloud object storage, metadata catalogs such as AWS Glue and Unity Catalog, and open table formats such as Apache Iceberg and Delta Lake. Experience documenting configuration and deployment workflows for containerization and orchestration platforms such as Docker, Podman, and Kubernetes. # LI-HYBRID #LI-DB1 Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Kazakhstan Workplace: Remote Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines. We combine global fintech expertise with deep local market knowledge to make financial services simple, accessible, and useful for millions of people across the region. 7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from leading global investors. Manila-based, globally distributed, and hybrid-first — our team spans 45+ countries. If you want to solve complex problems at scale and impact how millions of people access and manage money, come build with us. Southeast Asia's fintech moment starts here. ABOUT THE ROLE You'll turn the deposits portfolio into clear analytics that shape how Salmon grows and protects its savings products across the region. WHAT YOU'LL DO - Work directly on the deposits product, close to the people who build and run it, with a real say in what gets measured and why - Take a business question and run it end to end yourself — pull the data, analyse it, and land on a recommendation - Handle work that ranges from recurring portfolio reporting to ad-hoc research, segmentation, and unit economics WHAT YOU'LL OWN - Build reporting and analytics on the deposits portfolio — volumes, structure, and dynamics over time - Define the product metric tree, funnels, and retention analysis - Monitor liquidity and concentration across the portfolio - Forecast depositor churn and surface the drivers behind it - Run ad-hoc research, customer segmentation, and unit-economics analysis - Translate findings into clear recommendations for the product team WHAT MAKES YOU A STRONG FIT - SQL in practice: window functions, CTEs, and complex joins - Solid grounding in statistics and the ability to run an investigation end to end, from question to conclusion - English at B1 or above for written communication, documentation, and calls - Analytical maturity that outweighs years on paper NICE TO HAVE - Databricks or Spark SQL - dbt - Python - BI dashboards (Tableau) - Experience in fintech or banking WHAT WE OFFER: Ownership and flexibility - Stock option plan — four-year vesting with a 25% cliff after the first year - Remote-first role, with collaboration hours from 10:00 Manila time (UTC+8) - Company-provided tools and equipment Health and time off - Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits - Access to an internal mental health support specialist - 22 vacation days, Philippine public holidays, and 15 sick days Growth and team experience - Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications - Company-sponsored trips to Manila to meet and work with your team in person - Regular team offsites, sports activities, and team events - High-performing teams can earn a dedicated beach house week in Southeast Asia We believe strong teams are built by people with different backgrounds, experiences, and points of view. Salmon is an equal opportunity employer, and we make hiring decisions based on skills, experience, and potential.

Lead design and implementation of the CDS Hooks platform, including card orchestration, hook context handling, EHR-side logic orchestration, and integration with downstream data services. Lead technical integration with EMR systems (Epic, NextGen, Athena, ECW) for CDS Hook discovery, execution, card rendering, and user action handling.

Требования: — Опыт тестирования ПО от 5 лет с сильной экспертизой в тестировании данных — Опыт тестирования корпоративных решений и сложных платформ данных — Опыт с Databricks или Spark / PySpark и тестированием ETL/data pipeline — Сильные навыки программирования/скриптинга на Python, C# и/или TypeScript

Location: San Francisco Bay Area, California; New York City Metropolitan Area; New Jersey; Oakland; San Jose; San Mateo; Daly City; Berkeley Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, helping enterprises across Financial Services and Life Sciences design, build, and operate production AI systems. Our Forward Deployed Engineering model lets us embed with clients and deliver AI outcomes, not just advice. With offices in North America, LATAM, and EMEA, we partner with clients worldwide to reimagine how they operate and compete. We're looking for a Business Development & Partnerships Associate to help grow two revenue motions: converting partner-sourced leads from Anthropic and AWS into Provectus clients, and building new pipeline in our target industries. This is a high-growth role for someone with solid BD experience who wants to sell AI services at the center of the industry's most important partnerships. You'll work closely with our BD leadership, take ownership of deals as you grow, and develop into a full-cycle enterprise seller. What You'll Do Partner motion: Anthropic and AWS Act as a day-to-day point of contact for Anthropic's and AWS's partner and field sales teams. Receive and qualify enterprise leads shared by our partners, run discovery calls, and move qualified opportunities through to proposal and signed SOW, with support from BD leadership on larger deals. Keep the joint pipeline up to date, and help prepare quarterly business reviews and co-sell planning sessions. Build relationships with Anthropic and AWS field reps so Provectus is their first call for implementation needs. Support partner program activities: certifications, co-marketing campaigns, case studies, and partner events. New business development Prospect into enterprise accounts in Financial Services and Life Sciences through outbound, networking, events, and referrals. Run discovery, scope opportunities with our architects, and own deals through the sales cycle. Build a growing network of decision-makers on the East Coast. Cross-functional collaboration Work with delivery leads and solution architects to scope proposals accurately. You'll be selling consulting engagements, not software licenses. Share market insights (buyer objections, competitor moves, industry trends) with leadership and marketing. What You Bring 3–5 years of experience in business development, partnerships, or sales, ideally in B2B technology, cloud, or consulting. Hands-on experience working with a technology partner ecosystem (AWS, Anthropic, Microsoft, Google Cloud, Snowflake, Databricks, or similar), for example co-selling, joint pipeline, or co-marketing. A track record of moving deals through the sales cycle, from prospecting and discovery to proposal and close. Strong written and verbal communication, and confidence presenting to VP-level and senior stakeholders. Curiosity about AI and a genuine interest in how enterprises adopt it. Comfort in a fast-paced, entrepreneurial environment where you take ownership without being micromanaged. Willingness to travel up to 40% for client meetings, workshops, partner events, and conferences. Nice to Have Experience in Financial Services (banking, insurance, capital markets) or Life Sciences (pharma, biotech). Experience selling services or statement-of-work (SOW) engagements rather than SaaS subscriptions. Exposure to AI/ML, LLM-based products, or cloud data solutions. An existing network in New York's financial services or life sciences communities. Why Join Us Work at the intersection of two of the most powerful partnerships in AI: Anthropic and AWS. Sell with confidence, backed by a world-class AI/ML team that delivers what you sell. Learn directly from experienced BD leadership, with a clear path to a senior partnerships or sales role. High-impact role with direct visibility to leadership. Strong earning potential with performance-based bonuses. Choice of B2B contract or full-time employment. Unlimited vacation policy. Generous health, vision, and dental insurance. 401(k) matching plan. OTE range $120-140k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, abilities of the applicant, and alignment with market data. About Provectus Provectus is an AI consultancy and solutions provider helping businesses achieve their goals through AI and data-driven innovation across Financial Services, Insurance, Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, and Manufacturing. We're recognized by industry analysts as a leading provider of AI solutions, and we value innovation, ownership, and collaboration.

Location: Cyprus Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat. What You Will Be Doing Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment. Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle. Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts. Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production. Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred. Who You Are At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI). Strong in SQL and Python, and with cloud data platforms (e.g. Databricks). Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity. Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus. Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting. A quantitative education (math, engineering, economics, or CS) and full working proficiency in English. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Требования: — Опыт тестирования программного обеспечения в течение 5+ лет с сильной практической экспертизой в тестировании данных. — Опыт тестирования корпоративных решений и сложных платформ данных. — Опыт с Databricks или Spark / PySpark и тестированием ETL/data pipeline. — Сильные навыки программирования/скриптинга на Python, C# и/или TypeScript. — Английский: B1+.