Location: Germany; United Kingdom; Spain; Italy; The Netherlands
Workplace: Remote
ClickHouse is the fastest-growing database in the OLAP space, and AI is reshaping how developers and enterprises interact with their data. From ClickHouse Agents and AI Functions to the Remote MCP Server, LibreChat, and Langfuse, AI/ML capabilities are rapidly becoming a core pillar of the ClickHouse Cloud experience and a key growth vector for the platform.
We are looking for a Senior Product Manager to own core areas of our agentic analytics experience. You will work at the intersection of large language models, developer tooling, and high-performance analytics, shaping how organizations let agents query, reason over, and act on their data. This is a high-ownership role: you will drive products from discovery to launch with autonomy expanding as fast as you build confidence and context.
WHAT WILL YOU DO?
- Roadmap Ownership: Own the roadmap for key surfaces of the agentic analytics portfolio, from discovery through launch and iteration, and ensure they are best-in-class in the analytics database space.
- Customer Discovery: Talk to users constantly — developers, data engineers, and platform teams deploying agents against production data — and turn their feedback into crisp priorities.
- Product Quality: Define and prioritize features that improve agent accuracy, latency, cost, and trust. Instrument the product with evals and observability (Langfuse) so that quality is measured.
- Market & Competitive Intelligence: Track the competitive landscape and translate it into positioning, differentiation, and gaps to close.
- Go-to-Market Partnership: Partner with marketing, sales, and developer relations on pricing, packaging, launch content, and field enablement.
- Communication: Write clearly and often, including public-facing content that explains what we built and why.
WHAT YOU BRING ALONG:
- 3+ years of product management experience in developer tools, data infrastructure, or ML/AI products
- Hands-on familiarity with LLMs and agentic workflows: you have built or shipped something with them
- Comfort with SQL and analytical databases; you can query your own product data without waiting for someone else
- Strong written communication and the ability to drive alignment across engineering, design, and go-to-market
- You have a high level of ownership and a bias toward shipping: you scope pragmatically, cut ruthlessly, and iterate in public
- You thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders
NICE TO HAVE
- Experience with LLM observability, evals, or inference infrastructure
- Experience pricing usage-based or token-based products
- Prior work on open source products or with open source communities
- Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus
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 eligible team member who joins our company receives equity.
- 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.
УдалённоseniorGermany; United Kingdom; Spain; Italy; The Netherlands
Location: NAMER and LatAm
ClickHouse is the fastest-growing database in the OLAP space, and AI is reshaping how developers and enterprises interact with their data. From ClickHouse Agents and AI Functions to the Remote MCP Server, LibreChat, and Langfuse, AI/ML capabilities are rapidly becoming a core pillar of the ClickHouse Cloud experience and a key growth vector for the platform.
We are looking for a Senior Product Manager to own core areas of our agentic analytics experience. You will work at the intersection of large language models, developer tooling, and high-performance analytics, shaping how organizations let agents query, reason over, and act on their data. This is a high-ownership role: you will drive products from discovery to launch with autonomy expanding as fast as you build confidence and context.
WHAT WILL YOU DO?
- Roadmap Ownership: Own the roadmap for key surfaces of the agentic analytics portfolio, from discovery through launch and iteration, and ensure they are best-in-class in the analytics database space.
- Customer Discovery: Talk to users constantly — developers, data engineers, and platform teams deploying agents against production data — and turn their feedback into crisp priorities.
- Product Quality: Define and prioritize features that improve agent accuracy, latency, cost, and trust. Instrument the product with evals and observability (Langfuse) so that quality is measured.
- Market & Competitive Intelligence: Track the competitive landscape and translate it into positioning, differentiation, and gaps to close.
- Go-to-Market Partnership: Partner with marketing, sales, and developer relations on pricing, packaging, launch content, and field enablement.
- Communication: Write clearly and often, including public-facing content that explains what we built and why.
WHAT YOU BRING ALONG:
- 3+ years of product management experience in developer tools, data infrastructure, or ML/AI products
- Hands-on familiarity with LLMs and agentic workflows: you have built or shipped something with them
- Comfort with SQL and analytical databases; you can query your own product data without waiting for someone else
- Strong written communication and the ability to drive alignment across engineering, design, and go-to-market
- You have a high level of ownership and a bias toward shipping: you scope pragmatically, cut ruthlessly, and iterate in public
- You thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders
NICE TO HAVE
- Experience with LLM observability, evals, or inference infrastructure
- Experience pricing usage-based or token-based products
- Prior work on open source products or with open source communities
- Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus
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 eligible team member who joins our company receives equity.
- 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.
We are seeking a high-impact relationship builder to own and grow OpenTable's most strategic hotel partnerships worldwide. Act as the primary relationship owner for Tier-1 global hotel partners (e.g., Marriott, Hilton, Four Seasons, IHG), overseeing relationship health, retention, and revenue growth across regions.
УдалённоThis is a remote position, with a preference for candidates based on the East Coast; Global mindset, with experience working within and representing a global organization across multiple time zones and cultures; As a team member with us, you will benefit from a schedule tailored to accommodate a global workforce operating across multiple time zones
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
•Analyze product requirements based upon customers’ needs and engineering standpoint; •Communicate with development and management teams to help them develop features and find potential weaknesses;
Location: San Francisco, California
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What's the opportunity?
At Fin, now part of Salesforce, you’ll have the chance to shape the future of customer experience at the company building the highest-performing AI Customer Agent on the market.
As Principal, Integrated Campaigns Strategist, you’ll architect and lead high-impact, global campaigns that generate measurable pipeline and revenue for your audience portfolio. Your strategic vision and ability to deliver innovative, data-driven campaigns will help Fin establish category leadership in the rapidly evolving AI agent market.
You’ll join the Integrated Campaigns team within Fin’s Demand Generation organization. We are a fast-paced, high-agency group that accelerates Fin’s growth with full-funnel, omnichannel campaigns that build awareness and drive demand with one consistent narrative across every touchpoint. You’ll partner closely with product marketing, content, creative, brand, field marketing, and sales to design and deliver cohesive campaigns that consistently meet pipeline targets. You’ll thrive in an environment that values ownership and speed.
What will I be doing?
Own the end-to-end strategy and execution of integrated campaigns for key audience segments, orchestrating cross-functional partners to drive pipeline and revenue across global markets.
Develop campaign strategies that span the full funnel, from awareness through conversion, using multiple channels including digital advertising, email, webinars, virtual and live events, content syndication, and sales enablement.
Run rigorous processes, timelines, and governance across concurrent campaigns, and look for ways to streamline workflows.
Work with regional teams to adapt campaigns for local relevance while keeping global consistency and brand alignment.
Translate market insights, competitive intelligence, and customer behavior into compelling campaign narratives and journeys.
Collaborate with content and product marketing to plan audience-specific content roadmaps and campaign assets (research reports, guides, webinars, customer stories, and demos) that move prospects through the funnel.
Monitor campaign results across marketing qualified lead generation, pipeline contribution, target account penetration, and ROI, and share learnings across the organization.
Champion innovation in go-to-market strategy by testing new approaches and staying ahead of market trends, audience behaviors, and emerging channels.
What skills do I need?
10+ years of B2B marketing experience across integrated campaigns, demand generation, content marketing, and/or account-based marketing, with a proven track record of scaling global, omnichannel campaigns that drive pipeline and revenue growth
Hands-on experience applying AI tools and automation to marketing workflows (research, content development, campaign build, reporting, and optimization), with a point of view on where AI should replace manual work and where it should augment it
Command of B2B pipeline metrics, attribution, and ROI, with the analytical skills to turn campaign data into clear priorities, trade-offs, and executive-level reporting
Strong project management skills, with the ability to run complex, global initiatives across many stakeholders and time zones
Clear communication and presentation skills with senior stakeholders
Experience partnering with sales teams to align on strategy and build pipeline
Adept at using Marketo, Salesforce, and Claude; skilled at workflow design and change management
Experience at high-growth technology companies
Curiosity, resilience, and the ability to thrive in ambiguity and change
Bachelor’s degree in marketing, business, or a related field
Bonus skills & attributes
Experience building or deploying AI agents, skills, or automations (for example, Claude, agent frameworks, or marketing automation AI features) in a marketing context
Experience developing campaign playbooks and frameworks that help regional teams localize and execute with autonomy
MBA or equivalent experience
*Proof of eligibility to work in the United States is required.
The base salary range for candidates within the San Francisco Bay Area is $189,000-$225,750. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).
#LI-Hybrid
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
We are seeking a highly skilled CRM Software Engineer to support the development, customization, automation, and integration of enterprise CRM platforms, with a primary focus on Zoho CRM and the Zoho One ecosystem. Configure and customize Zoho CRM modules, layouts, forms, fields, profiles, roles, and permissions.
Location: Москва, гибрид или удалённая работа, RU; Россия
О команде
Мы — команда Automated Moderation в юните «Автомодерация» направления Trust & Safety. Развиваем инструменты доверия и безопасности на платформе: помогаем проверять контент и снижать риск появления материалов, которые нарушают правила Авито.
Мы разрабатываем и поддерживаем ML-систему проверки объявлений: анализируем текст, фото и параметры, автоматизируем проверки и снижаем нагрузку на ручную модерацию.
Основной проект — развитие LLM-модерации, около 80% рабочего времени. Система уже работает в продакшене: классические модели находят потенциальные нарушения, а LLM проверяют их по правилам Авито. Мы улучшаем промпты, дообучаем LLM- и VLM-модели, автоматизируем эксперименты с помощью AI-агентов.
Ищем DS-инженера полного цикла, который будет вести решения от постановки задачи и работы с данными до инференса, мониторинга и оценки влияния на продукт. Помимо основного проекта, будут задачи автомодерации с текстом, изображениями и видео.
Какие задачи вас ждут:
развивать LLM-проверки: переводить регламенты модерации в инструкции для моделей, разбирать ошибки и улучшать качество решений;
строить воспроизводимые эксперименты: сравнивать модели, промпты, состав входных данных и пороги принятия решений;
применять и развивать автоматическую оптимизацию промптов, дообучать модели и LoRA-адаптеры там, где это оправдано качеством и стоимостью;
готовить датасеты: организовывать сбор и разметку, проверять качество данных и репрезентативность выборок;
встраивать решения в пайплайны автомодерации и обеспечивать стабильную работу в продакшене: учитывать качество, задержки, вычислительную стоимость и риски ошибок;
настраивать мониторинг качества и деградаций, алерты и регулярные итерации улучшений;
оценивать влияние решений на продуктовые и бизнес-метрики.
Мы ждём, что вы:
умеете проводить полный цикл ML-разработки: от работы с данными и моделью до продакшена, мониторинга и проверки влияния с помощью A/B-тестов или эквивалентных подходов;
имеете большой опыт в NLP или значимый опыт вывода и сопровождения моделей в продакшене;
работали с LLM в прикладных задачах и умеете проверять качество решений на данных;
дообучали LLM и VLM, работали с LoRA, PEFT и оптимизацией инференса, например с vLLM;
уверенно владеете Python и DS-стеком: NumPy, pandas, scikit-learn, CatBoost или аналогами, умеете работать с DL-фреймворками, например PyTorch;
понимаете, как выбирать методы под задачу и аргументировать компромиссы между качеством, стоимостью, скоростью и рисками;
умеете оценивать качество моделей при запуске и отслеживать его изменение во времени: дрейф, деградации, проблемы данных;
пишете SQL-запросы на уровне, достаточном для анализа данных и диагностики качества;
читаете англоязычную техническую литературу.
Будет здорово, если вы:
имеете опыт в модерации, Trust & Safety или антифроде;
разрабатывали инструменты для AI-агентов, MCP-серверы или автоматизировали с их помощью ML-процессы;
знакомы с практиками MLOps: Kubeflow, K8s, feature store, MLflow;
настраивали мониторинг и алерты в Grafana, участвовали в A/B-тестах и канареечных релизах;
использовали LLM в прикладных задачах;
работали с CV или мультимодальными задачами, например VLM.
Работа у нас — это:
масштабный инженерный процесс, где вы можете участвовать во всех этапах работы над ML-решением;
интересные развивающие задачи и влияние на продуктовые и бизнес-метрики;
культура взаимопомощи и обмена опытом;
прозрачный карьерный трек и инструменты для роста: семинары, менторство, митапы;
расширенная забота о здоровье: ДМС, страхование жизни, онкострахование;
сервис психологической поддержки, а также финансовые, юридические и ЗОЖ-консультации для вас и ваших близких;
корпоративный спорт: групповые тренировки, велбиинг-приложение;
спецпредложения от партнёров и скидки на сервисы Авито: бронирование жилья, услуги продвижения, ипотечное страхование;
компенсация питания.
Location: Limassol, Cyprus
Workplace: fully
Sumsub
is the first AI-powered trust infrastructure for compliance operations at scale. It connects identity and business verification, fraud prevention, transaction monitoring, and risk workflows, helping teams reduce manual work and enter new markets.
Trusted by over 4,000 clients across financial services, crypto, mobility, trading, marketplaces, education, and iGaming, including Bybit, Bitpanda, Wirex, Avis, Vodafone, Duolingo, Kaizen Gaming, and Bancaribe.
Sumsub is certified as a Great Place To Work® in the US, recognized as a TIME & Statista Excellent Workplace, honored with the TrustRadius Tech Cares Award for Diversity & Inclusion, and rated 4.7 out of 5 on Glassdoor. Our 1,000+ people around the world back it up, too: 92% are proud to be Sumsubers, and 90% say their work is interesting and challenging.
Now we are looking for a
Senior Backend Developer
to join our rapidly growing team. This is an amazing opportunity to join Sumsub and make an immediate and real impact on the future of our product.
What You Will Be Doing:
Designing and developing backend services for the AML product line, including automated verification, sanctions screening, and risk monitoring.
Building and optimizing high-load data processing pipelines to handle diverse information sources and complex business logic.
Analyzing and refining product requirements to translate high-level business goals into scalable technical solutions.
Taking full end-to-end ownership of features, from initial architectural design to production support and quality assurance.
Collaborating with cross-functional teams in a lean, fast-paced environment with a strong focus on direct communication and rapid delivery.
About You:
Strong Java backend experience (5+ years) with a proven track record of building complex, data-driven systems.
High degree of autonomy and self-organization, capable of delivering high-quality results in a remote or hybrid setup.
Product-oriented engineering mindset: you focus on solving user problems and understand the business impact of your technical decisions.
Comfortable working with ambiguity and capable of proposing pragmatic solutions to evolving product challenges.
Fluent communication in both Russian and English, essential for global product development and team collaboration.
What We Offer:
Remote-first, trust-based culture.
Work from the place that works best for you. No mandatory office days, no attendance trackers. In some locations, we provide offices or coworking spaces, but the choice is yours.
True flexibility.
We do not fix you to a 9-to-5 schedule. You can adjust your working hours when needed, as long as your day stays productive and in sync with the team.
Extra time off.
Your birthday is a holiday here. Add to that 10 personal days each year, seven sick days without paperwork, and extra time to enjoy Christmas and New Year. Time to rest is part of the deal.
Work that matters.
Our mission is to build a digital world that is secure, accessible and inclusive for everyone. From fighting fraud to making online services easier and safer to use, your work will have a real impact on how people experience trust online.
Compensation.
We offer fair and transparent pay, benchmarked to the market.
Truly global.
We work across continents and time zones, with teammates and customers from all over the world. You will run campaigns that cross borders, cultures, and languages, and see your ideas land worldwide.
Growth built in.
Clear goals, open feedback and personal development plans. We support your progress with learning opportunities and by covering role-specific events, from design conferences to marketing forums.
Celebrating your big moments.
We are proud to support you through life’s biggest journeys with dedicated financial bonuses for both marriage and welcoming a new baby to your family.
Team offsites.
Sometimes just Slack is not enough. That is why we meet in person a few times a year. Trips are fully covered, so you can meet, collaborate, and recharge together.
Getting you set up.
We make sure you have access to the tools and hardware you need to do your work well.
Friendly by design.
Our logo is a dog for a reason. We keep things human, open and kind. We welcome individuality, quirks and different perspectives, because that is what makes our work smarter and more fun.
The hiring stages:
TA screening -> Hiring Manager Interview -> Assignment -> Final Interview.
Sounds like a great opportunity for your career development? Then go ahead and apply!
We are a global community of innovators, creators, and thinkers, and we believe that diversity fuels our innovation. Sumsub is proud to be an equal opportunity employer, committed to building a diverse and inclusive workforce. We welcome applications from people of all backgrounds, cultures, genders, experiences, abilities and perspectives. Join us in shaping the future inclusively.
We believe in fair and transparent compensation. Salaries vary depending on work location and applicable local market conditions.
This role is open to candidates in multiple countries, and compensation differs based on the candidate’s confirmed work location. For this reason, a single universal salary range is not included in this job posting.
The applicable work location will be confirmed early in the recruitment process, and the relevant compensation information for that location will be shared in writing, in line with local requirements.
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Location: Northeast
What you will do as a Customer Engineer
The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey.
Key Responsibilities
Technical Validation:
Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals.
Customer Adoption & Value Realization:
Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices. Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk.
Commercial Accountability & Expansion:
Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives.
Trusted Advisory:
Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes.
AI Orchestration & Workflow Automation:
Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory.
Education & Enablement:
Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization.
Minimum Qualifications
Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling).
Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly.
Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives.
Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles.
Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy.
Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below:
Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS.
Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts.
Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3.
AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows.
Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions.
Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments.
Strongly Preferred Qualifications (The "Good-to-Haves")
Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms.
Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls.
Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2.
Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth.
Education
Undergraduate or graduate degree in Computer Science, Engineering, or a related field.
Travel
This role may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration.
Compensation
This role features a competitive base salary and a variable compensation structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion. Compensation may be adjusted depending on work location.
For New York City based hires: Estimated annual salary of $204,000.00 - $321,000.00
Equity
This role is eligible to participate in Cloudflare’s equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Financial Benefits
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: Prague
Job Overview
Wargaming is looking for a proactive, excited and determined Product Analyst to join WoT Analytics team. In this role, you'll work at the intersection of data, product strategy, and business impact, transforming complex questions into actionable insights that directly influence product direction, user experience, and business outcomes.
You'll lead end-to-end analytical projects, partner closely with Product, Engineering, Design, and Business teams, and become a trusted advisor on everything from product performance to user behavior to monetization optimization. Your work will directly support decision-making processes across the organization.
What will you do?
Lead exploratory analysis and apply statistical methods to solve complex product and business problems, validating hypotheses with data
Work autonomously on end-to-end analysis projects focused on product metrics, feature impact, player behavior, and opportunities to improve engagement, retention, monetization, or product health
Define and maintain product metrics, ensuring consistent KPI definitions and clear relationships between engagement, retention, monetization, and overall product health
Build dashboards and reports that support product, business, and operational decisions
Develop reproducible analytical workflows using modern analytics tools (Python/R, AB test platforms, BI tools, AI)
Leverage AI and machine learning techniques to enhance analytical processes, automate insights, and develop predictive models for business needs
Frame ambiguous problems into hypotheses and execution plans, aligning stakeholders on scope and success metrics
Promote data-driven decision-making and contribute to shared analytical standards, documentation, and best practices
Build deep domain expertise in your product area
(e.g., monetization, retention, economy, live operations, platform analytics, user acquisition)
What are we looking for?
3+ years of experience
in Product Analytics, Data Analytics, or a related role, preferably in digital products or gaming.
Analytical ownership:
Ability to turn ambiguous product questions into structured investigations, actionable insights, and recommendations.
Strong SQL and Python skills:
Proficiency in complex SQL queries and hands-on experience with Python for data processing and analysis.
Data visualization:
Experience with BI tools such as Tableau, Looker, Power BI, or similar, and the ability to communicate insights through effective visualizations.
Statistical expertise:
Solid understanding of experimental design, segmentation, hypothesis testing, and statistical methods.
AI-driven analytics:
Experience applying AI/ML to business and product challenges, automate analytical workflows, and develop predictive solutions.
Product mindset and autonomy:
Ability to independently navigate ambiguous problems, identify opportunities, and drive analytical projects from exploration to impact.
Communication and collaboration:
Strong storytelling skills and experience aligning cross-functional stakeholders on analytical scope, success metrics, and recommendations.
English proficiency:
B2 level or higher, written and spoken.
Work mode
Hybrid (2-3 days of work from the office).
Benefits
Benefits and perks are tailored to the local market and culture. Our benefits in Prague include:
5 weeks of Annual Leave per calendar year
Additional paid time off
Sick Leave Compensation, Maternity & Paternity Leave Benefits
Career development and education opportunities within the company
Meal card contribution
Public transportation allowance
Premium private healthcare
Mental well-being program (iFeel)
Multisport Employee discounts
Personal Gaming Account
Coffee, fruits, and snacks in the office
Company events
Seniority Awards
Referral program - You can recommend the best talents to the company and receive a reward
Please submit your CV in English to ensure smooth processing and review.
About Wargaming
Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz.
Please see
Wargaming Candidate Privacy Policy
for details on how Wargaming uses your personal data.
Location: Belgrade
Job Overview
Wargaming is looking for a proactive, excited and determined Product Analyst to join WoT Analytics team. In this role, you'll work at the intersection of data, product strategy, and business impact, transforming complex questions into actionable insights that directly influence product direction, user experience, and business outcomes.
You'll lead end-to-end analytical projects, partner closely with Product, Engineering, Design, and Business teams, and become a trusted advisor on everything from product performance to user behavior to monetization optimization. Your work will directly support decision-making processes across the organization.
What will you do?
Lead exploratory analysis and apply statistical methods to solve complex product and business problems, validating hypotheses with data
Work autonomously on end-to-end analysis projects focused on product metrics, feature impact, player behavior, and opportunities to improve engagement, retention, monetization, or product health
Define and maintain product metrics, ensuring consistent KPI definitions and clear relationships between engagement, retention, monetization, and overall product health
Build dashboards and reports that support product, business, and operational decisions
Develop reproducible analytical workflows using modern analytics tools (Python/R, AB test platforms, BI tools, AI)
Leverage AI and machine learning techniques to enhance analytical processes, automate insights, and develop predictive models for business needs
Frame ambiguous problems into hypotheses and execution plans, aligning stakeholders on scope and success metrics
Promote data-driven decision-making and contribute to shared analytical standards, documentation, and best practices
Build deep domain expertise in your product area
(e.g., monetization, retention, economy, live operations, platform analytics, user acquisition)
What are we looking for?
3+ years of experience
in Product Analytics, Data Analytics, or a related role, preferably in digital products or gaming.
Analytical ownership:
Ability to turn ambiguous product questions into structured investigations, actionable insights, and recommendations.
Strong SQL and Python skills:
Proficiency in complex SQL queries and hands-on experience with Python for data processing and analysis.
Data visualization:
Experience with BI tools such as Tableau, Looker, Power BI, or similar, and the ability to communicate insights through effective visualizations.
Statistical expertise:
Solid understanding of experimental design, segmentation, hypothesis testing, and statistical methods.
AI-driven analytics:
Experience applying AI/ML to business and product challenges, automate analytical workflows, and develop predictive solutions.
Product mindset and autonomy:
Ability to independently navigate ambiguous problems, identify opportunities, and drive analytical projects from exploration to impact.
Communication and collaboration:
Strong storytelling skills and experience aligning cross-functional stakeholders on analytical scope, success metrics, and recommendations.
English proficiency:
B2 level or higher, written and spoken.
Work mode
Hybrid (2-3 days of work from the office)
Benefits
Benefits and perks are tailored to the local market and culture. Our benefits in Belgrade include:
Additional vacation days based on years of service at Wargaming: up to 5 days on top of the statutory minimum
Additional paid time off (5 Personal Days, Birthday Leave, Marriage Leave, Compassionate Leave)
Sick Leave Compensation, Maternity Leave Benefits
Premium Private Health Insurance
Career development and education opportunities within the company
English clubs and platform for learning languages
Mental well-being program (iFeel)
Commuting allowance
Company events
FitPass membership
Discounts for employees
Personal Gaming Account
Coffee, fruits, and snacks in the office
On-site canteen with subsidized prices for food and drinks
Seniority Awards
Referral program - you can recommend the best talents to the Company and receive a reward
Please submit your CV in English to ensure smooth processing and review.
About Wargaming
Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz.
Please see
Wargaming Candidate Privacy Policy
for details on how Wargaming uses your personal data.
Location: Vilnius
Job Overview
Wargaming is looking for a proactive, excited and determined Product Analyst to join WoT Analytics team. In this role, you'll work at the intersection of data, product strategy, and business impact, transforming complex questions into actionable insights that directly influence product direction, user experience, and business outcomes.
You'll lead end-to-end analytical projects, partner closely with Product, Engineering, Design, and Business teams, and become a trusted advisor on everything from product performance to user behavior to monetization optimization. Your work will directly support decision-making processes across the organization.
What will you do?
Lead exploratory analysis and apply statistical methods to solve complex product and business problems, validating hypotheses with data
Work autonomously on end-to-end analysis projects focused on product metrics, feature impact, player behavior, and opportunities to improve engagement, retention, monetization, or product health
Define and maintain product metrics, ensuring consistent KPI definitions and clear relationships between engagement, retention, monetization, and overall product health
Build dashboards and reports that support product, business, and operational decisions
Develop reproducible analytical workflows using modern analytics tools (Python/R, AB test platforms, BI tools, AI)
Leverage AI and machine learning techniques to enhance analytical processes, automate insights, and develop predictive models for business needs
Frame ambiguous problems into hypotheses and execution plans, aligning stakeholders on scope and success metrics
Promote data-driven decision-making and contribute to shared analytical standards, documentation, and best practices
Build deep domain expertise in your product area
(e.g., monetization, retention, economy, live operations, platform analytics, user acquisition)
What are we looking for?
3+ years of experience
in Product Analytics, Data Analytics, or a related role, preferably in digital products or gaming.
Analytical ownership:
Ability to turn ambiguous product questions into structured investigations, actionable insights, and recommendations.
Strong SQL and Python skills:
Proficiency in complex SQL queries and hands-on experience with Python for data processing and analysis.
Data visualization:
Experience with BI tools such as Tableau, Looker, Power BI, or similar, and the ability to communicate insights through effective visualizations.
Statistical expertise:
Solid understanding of experimental design, segmentation, hypothesis testing, and statistical methods.
AI-driven analytics:
Experience applying AI/ML to business and product challenges, automate analytical workflows, and develop predictive solutions.
Product mindset and autonomy:
Ability to independently navigate ambiguous problems, identify opportunities, and drive analytical projects from exploration to impact.
Communication and collaboration:
Strong storytelling skills and experience aligning cross-functional stakeholders on analytical scope, success metrics, and recommendations.
English proficiency:
B2 level or higher, written and spoken.
What additional skills will help you stand out?
Experience in gaming, entertainment, or consumer product analytics
Experience with AB testing platforms and experimentation best practices
Experience working with Snowflake, Cloudera Impala / Hive, Oracle SQL
Knowledge and practical application of machine learning algorithms
Rich gaming experience in different games and over 1000 World of Tanks battles
Work mode
Hybrid (2-3 days of work from the office)
The salary range for this role in Vilnius is EUR 4500-5600 monthly gross.
Benefits
Benefits and perks are tailored to the local market and culture. Our benefits in Vilnius include:
Additional paid time off
Sick Leave Compensation
Pregnancy and Childbirth Leave Benefit
Career development and education opportunities within the company
Meal Allowance
Premium Private Health Care
Mental well-being program (iFeel)
Perks discounts platform (over 450 exclusive discounts)
Personal Gaming Account
Coffee, fruits, and snacks in the office
Company events
Seniority Awards
Referral program - You can recommend the best talents to the company and receive a reward
Please submit your CV in English to ensure smooth processing and review.
About Wargaming
Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz.
Please see
Wargaming Candidate Privacy Policy
for details on how Wargaming uses your personal data.
Location: Nicosia
Job Overview
Wargaming is looking for a proactive, excited and determined Product Analyst to join WoT Analytics team. In this role, you'll work at the intersection of data, product strategy, and business impact, transforming complex questions into actionable insights that directly influence product direction, user experience, and business outcomes.
You'll lead end-to-end analytical projects, partner closely with Product, Engineering, Design, and Business teams, and become a trusted advisor on everything from product performance to user behavior to monetization optimization. Your work will directly support decision-making processes across the organization.
What will you do?
Lead exploratory analysis and apply statistical methods to solve complex product and business problems, validating hypotheses with data
Work autonomously on end-to-end analysis projects focused on product metrics, feature impact, player behavior, and opportunities to improve engagement, retention, monetization, or product health
Define and maintain product metrics, ensuring consistent KPI definitions and clear relationships between engagement, retention, monetization, and overall product health
Build dashboards and reports that support product, business, and operational decisions
Develop reproducible analytical workflows using modern analytics tools (Python/R, AB test platforms, BI tools, AI)
Leverage AI and machine learning techniques to enhance analytical processes, automate insights, and develop predictive models for business needs
Frame ambiguous problems into hypotheses and execution plans, aligning stakeholders on scope and success metrics
Promote data-driven decision-making and contribute to shared analytical standards, documentation, and best practices
Build deep domain expertise in your product area
(e.g., monetization, retention, economy, live operations, platform analytics, user acquisition)
What are we looking for?
3+ years of experience
in Product Analytics, Data Analytics, or a related role, preferably in digital products or gaming.
Analytical ownership:
Ability to turn ambiguous product questions into structured investigations, actionable insights, and recommendations.
Strong SQL and Python skills:
Proficiency in complex SQL queries and hands-on experience with Python for data processing and analysis.
Data visualization:
Experience with BI tools such as Tableau, Looker, Power BI, or similar, and the ability to communicate insights through effective visualizations.
Statistical expertise:
Solid understanding of experimental design, segmentation, hypothesis testing, and statistical methods.
AI-driven analytics:
Experience applying AI/ML to business and product challenges, automate analytical workflows, and develop predictive solutions.
Product mindset and autonomy:
Ability to independently navigate ambiguous problems, identify opportunities, and drive analytical projects from exploration to impact.
Communication and collaboration:
Strong storytelling skills and experience aligning cross-functional stakeholders on analytical scope, success metrics, and recommendations.
English proficiency:
B2 level or higher, written and spoken.
Work mode
Hybrid (2-3 days of work from the office)
Benefits
Benefits and perks are tailored to the local market and culture. Our benefits in Nicosia include:
21 days annual leave (additional days based on years of service: up to 25 days)
Additional paid time off (5 Personal Days, Birthday Leave, Marriage Leave, Compassionate Leave)
Sick Leave (10 days top-up to statutory allowance per year)
Maternity Leave (18 weeks top-up to statutory allowance per case)
Career development and education opportunities within the company
English Language courses fully covered by the company upon Manager’s approval
Private Health Care
Mental well-being program (iFeel)
Onsite gym and spa
Free parking close to the Nicosia offices, based on availability
Free drinks-equipped kitchen in every floor building
Eurobank benefits (if applicable)
Employee discounts (e.g. restaurants, bars, etc.)
Personal Gaming Account
Onsite canteen with subsidized prices for food and drinks
Company events, Social Clubs
Seniority Awards
Referral program - You can recommend the best talents to the company and receive a reward
Please submit your CV in English to ensure smooth processing and review.
About Wargaming
Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz.
Please see
Wargaming Candidate Privacy Policy
for details on how Wargaming uses your personal data.
Location: Warsaw
Job Overview
Wargaming is looking for a proactive, excited and determined Product Analyst to join WoT Analytics team. In this role, you'll work at the intersection of data, product strategy, and business impact, transforming complex questions into actionable insights that directly influence product direction, user experience, and business outcomes.
You'll lead end-to-end analytical projects, partner closely with Product, Engineering, Design, and Business teams, and become a trusted advisor on everything from product performance to user behavior to monetization optimization. Your work will directly support decision-making processes across the organization.
What will you do?
Lead exploratory analysis and apply statistical methods to solve complex product and business problems, validating hypotheses with data
Work autonomously on end-to-end analysis projects focused on product metrics, feature impact, player behavior, and opportunities to improve engagement, retention, monetization, or product health
Define and maintain product metrics, ensuring consistent KPI definitions and clear relationships between engagement, retention, monetization, and overall product health
Build dashboards and reports that support product, business, and operational decisions
Develop reproducible analytical workflows using modern analytics tools (Python/R, AB test platforms, BI tools, AI)
Leverage AI and machine learning techniques to enhance analytical processes, automate insights, and develop predictive models for business needs
Frame ambiguous problems into hypotheses and execution plans, aligning stakeholders on scope and success metrics
Promote data-driven decision-making and contribute to shared analytical standards, documentation, and best practices
Build deep domain expertise in your product area
(e.g., monetization, retention, economy, live operations, platform analytics, user acquisition)
What are we looking for?
3+ years of experience
in Product Analytics, Data Analytics, or a related role, preferably in digital products or gaming.
Analytical ownership:
Ability to turn ambiguous product questions into structured investigations, actionable insights, and recommendations.
Strong SQL and Python skills:
Proficiency in complex SQL queries and hands-on experience with Python for data processing and analysis.
Data visualization:
Experience with BI tools such as Tableau, Looker, Power BI, or similar, and the ability to communicate insights through effective visualizations.
Statistical expertise:
Solid understanding of experimental design, segmentation, hypothesis testing, and statistical methods.
AI-driven analytics:
Experience applying AI/ML to business and product challenges, automate analytical workflows, and develop predictive solutions.
Product mindset and autonomy:
Ability to independently navigate ambiguous problems, identify opportunities, and drive analytical projects from exploration to impact.
Communication and collaboration:
Strong storytelling skills and experience aligning cross-functional stakeholders on analytical scope, success metrics, and recommendations.
English proficiency:
B2 level or higher, written and spoken.
Work mode
Full-time employment
Remote from Poland
Type of Contract and Salary
Employment Contract (umowa o prace)
The salary range for this role is 17000 - 22000 PLN gross monthly (
The final salary within the range will depend on the candidate’s experience, skills, and performance during the interview.
Please note that this salary range applies to Poland; for other locations, it might be different.)
Benefits
Benefits and perks are tailored to the local market and culture. Our benefits in Warsaw include:
Additional paid time off (5 Personal Days, Birthday Leave) on top of the statutory minimum
Sick Leave 100% Compensation (10 days per calendar year)
Career development and education opportunities within the company
Premium Private Health Care
Mental well-being program (iFeel)
Multisport card
Personal Gaming Account
Company events
Seniority Awards
Referral program - you can recommend the best talents to the Company and receive a reward
Please submit your CV in English to ensure smooth processing and review.
About Wargaming
Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz.
Please see
Wargaming Candidate Privacy Policy
for details on how Wargaming uses your personal data.
Location: Georgia; Poland
On behalf of
Behavioral AI Solutions Client #1
, SD Solutions is looking for a talented
Senior Data & AI Scientist
to take ownership of two of our core behavioral-modeling efforts end to end: a user-conditioned Trader World Model that learns a high-fidelity latent representation of each trader and reproduces their multi-horizon behavioral distributions, and a large-scale sequence forecaster that predicts each user's next-horizon trading activity from their intraday behavior.
SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer.
This is a hands-on modeling role. You will own the full lifecycle—data, representation learning, training, large-scale experimentation, and rigorous evaluation—for transformer-based models trained on hundreds of millions of behavioral samples on GPU’s.
We are specifically looking for candidates with practical experience training deep sequence and foundation models. This includes designing training pipelines, running large-scale experiments, modeling full behavioral distributions (not just point estimates), and understanding the real challenges of modern transformer training.
This is not an AI integration or prompt engineering role. We are looking for engineers and scientists who have built, trained, and evaluated models themselves, and who hold their results to a high evidentiary bar.
Responsibilities:
Train, fine-tune, and evaluate transformer-based sequence models for behavioral prediction on large-scale trading data.
Design feature representations and embedding strategies for structured, event-sequence behavioral signals.
Model full multi-horizon behavioral distributions (activity, volume, PnL, exposure, hold time) rather than single point or label predictions.
Build and beat a rigorous baseline ladder; design leakage-safe, chronologically split evaluation that earns each claim of improvement.
Optimize large-scale GPU training pipelines (throughput, memory, dataloading, checkpoint/resume, cost) on Vertex AI.
Collaborate closely with psychologists, bioinformaticians, AI engineers, and researchers to translate theory into production-grade AI systems.
Requirements:
Experience
6+ years of experience in Data Science, Machine Learning, or AI.
Hands-on experience training deep sequence models (Transformers/attention) and/or fine-tuning foundation models.
Strong experience with PyTorch and modern deep learning workflows (Lightning a plus).
Experience with distributional and representation learning—modeling latent structure and full distributions, not just labels.
Experience designing, running, and analyzing large-scale ML experiments.
Demonstrated ownership of the complete modeling lifecycle, from data preparation through training, evaluation, and iteration.
Technical Skills
Expert-level Python.
Strong understanding of deep learning, representation learning, and statistical modeling.
Experience with high-dimensional and event-sequence / temporal datasets.
Ability to design rigorous evaluation methodologies—chronological/held-out splits, leakage control, purge gaps, and honest baseline comparison.
Comfort with cloud GPU training and its real-world failure modes (throughput bottlenecks, OOM, dataloader/prefetch, checkpoint/resume, cost control).
Advantages:
Zero-inflated / heavy-tailed / hurdle modeling and calibration for sparse targets.
World-model or model-based / latent-transition (JEPA-style) modeling.
Experience with financial, trading, or high-frequency behavioral data.
Background in behavioral science, psychology, economics, or cognitive modeling.
Experience with distributed GPU training (FSDP, DeepSpeed, Accelerate, DDP, etc.) and optimizing large-scale training workloads.
Experience with LoRA, QLoRA, PEFT, RLHF, or other foundation model adaptation techniques.
Publications or open-source contributions related to sequence models or foundation models.
Who This Role Fits:
Someone who genuinely enjoys training large AI models—not just integrating AI APIs.
A researcher or engineer who likes experimenting with model architectures, training strategies, and evaluation methodologies.
Someone who thinks in terms of representations, distributions, latent structure, and generalization.
Someone who holds a high evidentiary bar—prefers a model that provably beats a strong baseline over an impressive-sounding architecture.
A hands-on builder who enjoys working at the intersection of research and production.
Someone excited to own a hard, open-ended behavioral-modeling problem from the ground up.
About the company:
We are is an innovative Behavioral AI Solutions company building the next generation of AI systems designed to understand and predict human behavior. NDA, Behavioral AI Solutions, develops proprietary Large Behavioral Models (LBMs) that go beyond traditional language models by predicting human decisions and actions across complex real-world environments. Its technology combines behavioral science, psychology, and advanced machine learning to create sophisticated predictive models. The team works across the full AI development lifecycle, including large-scale data curation, representation learning, model training, fine-tuning, evaluation, and deployment.
NDA, Behavioral AI Solutions focuses on building transformer-based foundation models trained on massive behavioral datasets using advanced GPU infrastructure. Its solutions are designed to support high-impact applications across finance, defense, enterprise decision support, and other industries. The company brings together interdisciplinary experts to transform cutting-edge research into scalable, production-ready AI systems.
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Location: Remote
Workplace: Remote
Blockstream https://blockstream.com/ was founded in 2014 by Dr. Adam Back https://en.wikipedia.org/wiki/Adam_Back and a group of fellow cryptographers and engineers who were passionate about Bitcoin and its potential to change the future of finance. Focusing on building fundamental Bitcoin infrastructure, Blockstream quickly became one of the industry's leading technology powerhouses.
Blockstream is transforming traditional financial systems by equipping enterprises and consumers with Bitcoin-based solutions that enhance efficiency, security, and scalability. Our vision is to empower the world with tools that strengthen financial security, streamline everyday use, and unlock new opportunities for growth.
In pursuit of our expansive vision, we’ve built a full stack of innovative products on top of the Bitcoin protocol, from layer-2 projects like Liquid and Core Lightning, to end-user software and hardware wallets like Green and Jade. Our brand stands for innovation in the Bitcoin community, and we’re growing our team to accelerate the future.
We are expanding our team and seeking a highly skilled QA Engineering Manager to lead our QA team in ensuring the quality, stability, and security of our Bitcoin and blockchain-based applications. As a QA Engineering Manager, you will be responsible for developing and overseeing test strategies, mentoring QA engineers, and working cross-functionally with developers, product managers, and DevOps engineers to maintain high-quality standards.
What You Will Be Doing (Responsibilities):
- Lead, mentor, and manage a team of QA Engineers, fostering a culture of quality and collaboration.
- Define and oversee the implementation of test strategies, ensuring coverage for functional, performance, security, and regression testing.
- Design and maintain automated testing frameworks for blockchain-based applications and APIs.
- Establish best practices for QA processes and continuously improve testing methodologies to enhance product quality.
- Work closely with developers to review features, identify testability concerns, and ensure proper validation of new functionalities.
- Manage bug tracking and reporting processes, ensuring timely resolution of defects.
- Coordinate with DevOps to integrate automated testing into CI/CD pipelines and optimize execution in cloud-based environments.
- Stay updated with blockchain and fintech QA trends, security vulnerabilities, and best practices.
- Communicate QA metrics, progress, and risks to stakeholders, ensuring transparency and continuous improvement.
What We Look For In You (Required Qualifications):
- 5+ years of experience in software quality assurance, with at least 2 years in a leadership or management role; preferably in fintech, blockchain, or security-focused industries.
- Strong background in automation testing frameworks and methodologies.
- Deep understanding of Bitcoin and blockchain technology.
- Experience with API testing tools and scripting languages.
- Knowledge of security testing methodologies, including penetration testing and vulnerability assessments.
- Hands-on experience with performance testing tools.
- Proven ability to work in a fast-paced, remote-first, and collaborative environment.
- Strong problem-solving skills and analytical mindset.
- Excellent communication, leadership, and documentation skills.
🔒 Stay Safe from Job Scams
All official Blockstream communication will come from an @blockstream.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@blockstream.com. Learn more about avoiding job scams here https://consumer.ftc.gov/consumer-alerts/2022/05/want-work-home-spot-scams-first.
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