Задачи:
— Анализировать и повышать эффективность закупки рекламного трафика из in-app, social и web-источников: оценивать источники, каналы, кампании, аудитории и связки по ключевым закупочным метрикам, определяя зоны для масштабирования и оптимизации.
— Проводить когортный и сегментный анализ, ad hoc-анализ закупки трафика.
— Системно находить точки роста, формулировать, приоритизировать и тестировать growth-гипотезы на основе данных: от оптимизации закупки трафика, креативов и рекламных платформ до улучшения монетизации, удержания и окупаемости пользователей.
— Анализировать и улучшать эффективность алгоритмов автоматизации закупки трафика: оценивать качество решений, искать причины просадок, формулировать требования к доработкам и адаптировать логику под новые источники, рекламные платформы и бизнес-цели.
— Проводить предиктивную и инициативную аналитику, помогая заранее выявлять риски, просадки эффективности и новые возможности для роста.
— Строить и поддерживать аналитические и функциональные dashboards.
— Проверять точность ключевых отчетов, данных, трекинга и аналитических систем; работать с данными из рекламных платформ, BI, CRM, MMP, attribution tools и внутренних баз.
— Координировать аналитические задачи в рамках своего направления: взаимодействовать с analytics team, следить за качеством аналитики и помогать переводить результаты анализа в бизнес-рекомендации.
— Анализировать и улучшать продуктовые метрики собственных приложений, находя точки роста в удержании, монетизации, пользовательском поведении и общей эффективности продукта.
Требования:
— Опыт работы в data analytics от 7 лет.
— Опыт в mobile app analytics и рекламной медиации для приложений с рекламной монетизацией: понимание работы mediation-платформ, ad networks, waterfall / bidding-логики, eCPM, fill rate, ARPDAU, impressions, ad revenue и влияния рекламной монетизации на продуктовые метрики.
— 4+ года опыта с digital marketing, performance marketing, paid acquisition или growth marketing.
— Глубокая экспертиза в ключевых закупочных и продуктовых метриках и их практическом применении: LTV, ROAS, ROI, CPA, CPC, CPM, CPI, CTR, CR, retention, ARPU и др.
— Опыт проведения когортного анализа, ad hoc-анализа, оценки экспериментов и проверки гипотез.
— Умение находить неочевидные инсайты в данных и превращать их в конкретные бизнес-рекомендации.
— Опыт работы с MMP, attribution и tracking tools: Adjust, Voluum, Amplituda, MixPanel, Firebase или аналогичными платформами.
— Опыт работы с SQL для проведения ad hoc-анализа, извлечения данных и моделирования.
— Знание Python или R для аналитики, автоматизации и моделирования.
— Понимание принципов маркетинговой атрибуции, tracking, conversion measurement и качества данных.
— Навыки работы и построения отчетностей, dashboards в BI-инструментах (Looker).
— Опыт работы с BigQuery и другими инструментами современного data stack: GitLab, Docker, Google Cloud (Container Registry, Workflows, Cloud Run).
— Опыт работы с большими объемами данных и способность самостоятельно выстраивать аналитическую логику.
— Сильные аналитические способности и системное мышление.
— Внимание к деталям, высокий уровень самоорганизации и ответственность за результат.
— Умение понятно доносить технические выводы до нетехнических команд.
— Высшее образование в области математики, прикладной математики, статистики, data science, информационных технологий или смежных дисциплин.
Условия:
— Удаленный формат взаимодействия.
— График: с 10:00 до 19:00 по времени Кипра.
— 20 дней отпуска и оплачиваемые больничные.
— Зарплата - по договоренности, в зависимости от Вашего уровня и опыта.
— Работаем по праздничному календарю Кипра.
— Испытательный срок - 3 месяца.
УдалённоseniorГрафик: с 10:00 до 19:00 по времени Кипра
Мы развиваем ИТ-продукт, который включает в себя масштабную WEB-платформу и интерактивного Telegram-бота / Mini App. Наш стек: Python, Airflow 2+, dbt Core, ClickHouse, PostgreSQL, Docker, GitLab. Продукт быстро растет, и сейчас мы ищем Data Engineer, который поможет нам масштабировать аналитическую инфраструктуру и сделать работу с данными быстрой и надежной.
Задачи:
— Разрабатывать и поддерживать ETL/ELT-процессы на базе Airflow и dbt Core
— Интегрировать новые источники данных: PostgreSQL, внешние API и сервисы
— Развивать существующее хранилище данных на ClickHouse и поддерживать аналитические витрины
— Оптимизировать SQL-запросы и производительность пайплайнов
— Поддерживать и развивать инфраструктуру аналитической платформы (Docker, Airflow, dbt)
— Взаимодействовать с аналитиками для реализации новых витрин, метрик и источников данных
— Участвовать в расследовании инцидентов, связанных с качеством данных и работой пайплайнов
— Поддерживать техническую документацию и участвовать в передаче знаний внутри команды
Требования:
— Опыт на позиции инженера данных от трёх лет
— Уверенное знание SQL и опыт работы с аналитическими СУБД
— Практический опыт работы с ClickHouse: проектирование таблиц, выбор движков, партиционирование, оптимизация запросов
— Опыт разработки и поддержки ETL/ELT-процессов: способность самостоятельно выбирать способ интеграции источника данных, проектировать структуру загрузки, хранение и обновление данных с учетом требований бизнеса и технических ограничений
— Опыт работы с Apache Airflow 2+: разработка, поддержка и отладка DAG'ов, понимание механизмов планирования, зависимостей и мониторинга пайплайнов
— Опыт работы с dbt Core
— Хорошее знание Python: умение разбираться в существующем коде, дорабатывать и разрабатывать новые компоненты интеграций и пайплайнов
— Опыт работы с PostgreSQL и понимание особенностей инкрементальных выгрузок данных
— Опыт интеграции внешних REST API
— Понимание принципов контейнеризации и опыт работы с Docker / Docker Compose
— Умение самостоятельно декомпозировать задачи и доводить их до результата
Будет плюсом:
— Опыт работы с Airflow 3+
— Опыт работы с BigQuery
— Опыт работы с Google Analytics / GA4
— Опыт работы с облачными платформами (GCP, Yandex Cloud, AWS)
— Понимание базовых принципов работы блокчейн-сетей и транзакционных данных
— Опыт использования AI-инструментов для разработки и сопровождения кода
Формат работы: удаленно
Часовой пояс: MSK
УдалённоЧем предстоит заниматься: - Разрабатывать и поддерживать ETL/ELT-процессы на базе Airflow и dbt Core - Интегрировать новые источники данных: PostgreSQL, внешние API и сервисы - Развивать существующее хранилище данных на ClickHouse и поддерживать аналитические витрины - Оптимизировать SQL-запросы и производительность пайплайнов - Поддерживать и развивать инфраструктуру аналитической платформы (Docker, Airflow, dbt) - Взаимодействовать с аналитиками для реализации новых витрин, метрик и источников данных - Участвовать в расследовании инцидентов, связанных с качеством данных и работой пайплайнов - Поддерживать техническую документацию и участвовать в передаче знаний внутри команды Наши требования: - Опыт на позиции инженера данных от трёх лет - Уверенное знание SQL и опыт работы с аналитическими СУБД - Практический опыт работы с ClickHouse: проектирование таблиц, выбор движков, партиционирование, оптимизация запросов - Опыт разработки и поддержки ETL/ELT-процессов: способность самостоятельно выбирать способ интеграции источника данных, проектировать структуру загрузки, хранение и обновление данных с учетом требований бизнеса и технических ограничений - Опыт работы с Apache Airflow 2+: разработка, поддержка и отладка DAG'ов, понимание механизмов планирования, зависимостей и мониторинга пайплайнов - Опыт работы с dbt Core - Хорошее знание Python: умение разбираться в существующем коде, дорабатывать и разрабатывать новые компоненты интеграций и пайплайнов - Опыт работы с PostgreSQL и понимание особенностей инкрементальных выгрузок данных - Опыт интеграции внешних REST API - Понимание принципов контейнеризации и опыт работы с Docker / Docker Compose - Умение самостоятельно декомпозировать задачи и доводить их до результата Будет плюсом: - Опыт работы с Airflow 3+ - Опыт работы с BigQuery - Опыт работы с Google Analytics / GA4 - Опыт работы с облачными платформами (GCP, Yandex Cloud, AWS) - Понимание базовых принципов работы блокчейн-сетей и транзакционных данных - Опыт использования AI-инструментов для разработки и сопровождения кода Формат работы: удаленно Часовой пояс: MSK Присылайте резюме https://t.me/katyacheresh
Location: Lisbon; Belgrade
Workplace: OnSite
Aghanim is an integrated commerce, liveops automation, community engagement, and payments platform for video games.
Mobile games have traditionally depended on app stores for distribution, payments, and player relationships. We believe there is a better way. Aghanim helps game studios build direct relationships with players, sell directly, and build their future on their own terms. Today, more than 100 games worldwide are already building this future with Aghanim.
Our team brings together people across Los Angeles, New York, Seoul, Beijing, London, Lisbon, Belgrade and other locations around the globe, with deep expertise in gaming, fintech and technology. We move quickly, keep communication direct, and focus on getting things done. We believe the best people thrive when they have autonomy, ownership, and a stake in the company's success.
[https://app.ashbyhq.com/api/images/user-content/4f457f07-466b-477b-b552-fbbabd850111/2de3a7cd-8843-41a9-8bbe-ceb897a42c4a/Logo%20(horizontal).svg]
We’re looking for two Senior Full-Stack AI Engineers to help us develop Newton, Aghanim’s AI product for partners.
Newton is already a working product with an established architecture. Your role is to ship features across the backend and frontend, build new agent capabilities, and own the engineering quality of what you deliver.
You’ll work closely with product and design to understand what partners need, translate specifications into reliable software, and challenge requirements when something does not add up. Product direction, design, and infrastructure have dedicated owners, so your focus is engineering execution.
KEY RESPONSIBILITIES
- Deliver features from specifications and designs to production, covering database schemas, APIs, agent capabilities, React interfaces, tests, and deployment.
- Build agent tools and skills, integrate with Aghanim’s Dashboard API, and access analytical data through the data gateway.
- Version and test prompts, tools, and skills; evaluate answer quality and manage runtime costs and failure handling.
- Design modules and API contracts within the existing architecture, proposing improvements when implementation reveals gaps.
Tech stack: TypeScript, React, Cloudflare Workers, Durable Objects, AI Gateway, Cloudflare OS agent core, Postgres (Supabase), Cube.js, BigQuery, Vitest. Newton currently runs on Claude, with configurable model selection.
REQUIRED QUALIFICATIONS
- Strong production experience across both backend and frontend with TypeScript, React, SQL, Postgres, and API design.
- A track record of shipping features quickly while maintaining code quality and reliability.
- Hands-on experience with production LLM applications, including agents, tool calling, structured outputs, and quality evaluation.
- Ability to understand product needs, challenge unclear requirements, and work independently within an established architecture.
- Daily use of AI coding agents, with a clear approach to reviewing, testing, and validating their output.
Important: Commercial experience is required; personal projects alone are not sufficient.
PREFERRED QUALIFICATIONS
- Experience with Cloudflare Workers, Durable Objects, or AI Gateway.
- Familiarity with Supabase, Cube.js, or BigQuery.
- Experience building products for games, monetization, or B2B dashboards.
WHY JOIN US
- World-class team – work alongside experienced professionals from around the globe who have built products used by millions of players
- High growth, high impact – be part of a fast-growing company where ideas turn into products and reach customers in days, not months
- Autonomy and ownership – we trust people to make decisions, take initiative, and drive results
- Modern tools and technology – use AI, automation, and modern tools as part of your everyday work
- Equity – participate in the company's growth and long-term success
Location: Lisbon; Belgrade
Workplace: OnSite
Aghanim is an integrated commerce, liveops automation, community engagement, and payments platform for video games.
Mobile games have traditionally depended on app stores for distribution, payments, and player relationships. We believe there is a better way. Aghanim helps game studios build direct relationships with players, sell directly, and build their future on their own terms. Today, more than 100 games worldwide are already building this future with Aghanim.
Our team brings together people across Los Angeles, New York, Seoul, Beijing, London, Lisbon, Belgrade and other locations around the globe, with deep expertise in gaming, fintech and technology. We move quickly, keep communication direct, and focus on getting things done. We believe the best people thrive when they have autonomy, ownership, and a stake in the company's success.
[https://app.ashbyhq.com/api/images/user-content/4f457f07-466b-477b-b552-fbbabd850111/2de3a7cd-8843-41a9-8bbe-ceb897a42c4a/Logo%20(horizontal).svg]
We’re looking for a Middle/High-Middle DevOps / SRE Engineer to help run and improve our production platform in GCP + GKE, fronted by Cloudflare, with observability in Datadog and CI/CD in GitHub Actions.
You’ll work closely with Senior/Principal engineers, implementing reliability improvements, expanding monitoring coverage, and reducing operational toil - especially important in a highload system with sudden traffic spikes.
KEY RESPONSIBILITIES
Platform Operations
- Operate and improve production systems on GCP, GKE, and related managed services
- Contribute to platform reliability, scalability, and operational improvements alongside Senior and Principal engineers
Infrastructure & Delivery
- Implement infrastructure changes using Terraform and maintain Kubernetes configurations, Helm charts, and deployment tooling
- Improve CI/CD automation and deployment reliability
Observability & Incident Management
- Build and maintain monitoring, alerting, and observability in Datadog
- Participate in incident response, troubleshooting, and postmortem activities
Security & Cost Optimization
- Support security tooling, vulnerability remediation, and secure platform practices
- Identify and implement cost optimization opportunities without compromising reliability
REQUIRED QUALIFICATIONS
- Hands-on production experience with Kubernetes (ideally GKE) and basic cluster operations.
- Working experience with Terraform and Helm in PR-based workflows.
- Familiarity with GCP services used in SaaS operations (e.g., Cloud SQL, BigQuery, BigTable, Pub/Sub, Cloud Run, Memorystore).
- Monitoring/alerting and troubleshooting skills (preferably Datadog).
- Strong scripting/automation mindset to reduce manual work and prevent repetitive incidents.
- Reliability awareness: understanding how changes affect availability/latency and how to operate under SLA constraints.
PREFERRED QUALIFICATIONS
- Cloudflare basics (WAF/DNS, edge concepts; Workers/CDN is a plus).
- Experience writing/maintaining runbooks and participating in postmortems.
- Exposure to SOC 2 / PCI-DSS requirements or willingness to learn.
- Experience in high-load consumer products or game dev.
WHY JOIN US
- World-class team – work alongside experienced professionals from around the globe who have built products used by millions of players
- High growth, high impact – be part of a fast-growing company where ideas turn into products and reach customers in days, not months
- Autonomy and ownership – we trust people to make decisions, take initiative, and drive results
- Modern tools and technology – use AI, automation, and modern tools as part of your everyday work
- Equity – participate in the company's growth and long-term success
Location: San Francisco, CA
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs.
The role
This is a foundational role on Sierra's Operations team, sitting at the intersection of marketing and GTM. As Marketing Operations and Analytics Lead, you'll own two things: the measurement infrastructure that connects marketing programs to pipeline and revenue; and the operational processes that make the marketing engine run efficiently and at scale.
What you'll do
- Full-funnel attribution: Design and own Sierra's marketing attribution framework, connecting campaigns, events, content, and demand gen programs to pipeline generation and ultimately LTC conversions.
- Pipeline analytics: Partner with Marketing and Sales to analyze pipegen by vertical, region, and segment. Track conversion rates at each stage and surface where marketing programs are—and aren't—generating high-quality opportunities.
- Performance reporting: Build and maintain the marketing team's core performance dashboards—campaign ROI, event pipeline influence, channel mix, lead quality, and funnel velocity.
- ICP & account intelligence: Develop data-driven ICP scoring and account prioritization models to focus marketing investment on segments with the highest win rates and ASPs. Integrate signals from first-party and third-party intent sources to keep targeting sharp.
- Experiment design & optimization: Design rigorous A/B and multivariate tests across marketing channels. Establish the statistical standards the team uses to evaluate new programs; translate results into clear, actionable recommendations—not just p-values.
- Lead management & routing: Define and maintain lead scoring models, MQL thresholds, and routing logic from first touch to Sales handoff. Partner with Sales to ensure lead quality, minimize friction, and continuously improve conversion from MQL to pipeline.
- Campaign operations: Own the operational infrastructure behind campaign execution—email programs, landing page workflows, event lead capture, and list management. Build processes that let the demand gen and events teams move quickly without creating data debt.
- Cross-functional partnership: Serve as the analytical and operational bridge between Marketing, GTM Ops, Finance, and Sales leadership—ensuring marketing metrics are aligned with company PG, POC, and ARR targets; contribute to quarterly business reviews (QBRs) and annual planning with marketing-specific performance analysis and forecasts
What you'll bring
- 12+ years spanning marketing analytics and marketing operations
- Deep expertise in attribution modeling, multi-touch funnel analysis, and pipeline/revenue measurement in long, multi-stage enterprise sales cycles
- Hands-on martech stack experience—marketing automation (Marketo, HubSpot, or similar), Salesforce, lead routing, and third-party enrichment tools
- Strong SQL skills; fluency working with large datasets in modern data stacks (ClickHouse, Snowflake, BigQuery, or similar)
- Proven ability to translate complex analyses into clear narratives for non-technical stakeholders, including C-suite executives
- High attention to detail and a strong point of view on what "good" looks like—you've built this infrastructure before and know where the landmines are
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits
- Lunch, as well as delicious snacks and coffee to keep you energized when working onsite
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description.
Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy.
We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.
Location: San Francisco
Workplace: Hybrid
THE ROLE
Our commercial segment — companies with up to 250 employees — is predominantly developer- and engineer-led. These buyers don't respond to decks and discovery scripts. They respond to someone who speaks their language, understands their architecture, and can help them think through a real problem. That's who we're hiring.
As a Commercial Account Executive at ClickHouse, you'll own the full sales cycle for inbound, product-led, and self-serve accounts in this segment. You'll engage with data engineers, platform teams, and technical founders at the moment they're evaluating ClickHouse for a real use case — and your job is to help them succeed, faster. The best deals in this segment don't feel like sales. They feel like an engineering consultation that ends in a contract.
Our commercial customers include companies like Circle, Flashbots, Blockworks, Cypress.io, Kit, Whop, Coframe, Shaped, and janitorai — developer-first products that chose ClickHouse because they needed something that could handle billions of events without slowing down their users. The best deals in this segment don't feel like sales. They feel like an engineering consultation that ends in a contract.
This is a role for technically strong people who are ready to own a number. You'll need at least 1-2 years of closing experience, and technical credibility is non-negotiable.
WHAT YOU WILL BE DOING
- Own the full sales cycle from inbound lead to close for accounts in the sub-250 employee segment, with a focus on speed, technical depth, and conversion quality.
- Engage directly with data engineers, platform architects, and technical founders to understand their use cases, data volumes, query patterns, and infrastructure requirements — and map those to ClickHouse capabilities.
- Troubleshoot schema design questions, ingestion patterns, and integration challenges during the evaluation process; serve as a trusted technical advisor rather than a traditional sales rep.
- Identify expansion opportunities within the existing self-serve and product-led customer base; convert usage signals into meaningful commercial relationships.
- Partner with Solutions Engineers on more complex evaluations, and advocate for customer needs internally with Product and Engineering.
- Maintain rigorous pipeline hygiene — documenting technical context, decision criteria, stakeholders, and next steps in Salesforce so nothing falls through the cracks.
- Contribute to playbooks, technical objection handling guides, and onboarding materials that help the team scale what's working.
- Participate in developer community events, technical meetups, and online forums where our users naturally gather.
WHAT YOU BRING
- At least 1-2 years of closing experience carrying a quota, ideally selling technical or data infrastructure products to engineering buyers.
- A technical foundation that earns respect in engineering conversations — built through experience as a data engineer, solutions engineer/architect, software engineer, or similar role.
- Comfort with the modern data stack: columnar databases, streaming ingestion (Kafka, Kinesis), cloud infrastructure, and SQL-heavy analytics workflows. Hands-on experience with ClickHouse, DuckDB, Druid, Pinot, BigQuery, Snowflake, or similar is a strong plus.
- Some customer-facing experience — whether in pre-sales, technical account management, solutions engineering, or a customer-success capacity. You've navigated technical conversations with real stakes before.
- An instinct for moving quickly. This segment runs on short cycles. You know how to drive urgency without being pushy, and how to remove technical blockers that stall deals.
- Strong written and verbal communication. You can simplify complex concepts without dumbing them down, and you write clearly enough that your emails actually get responses from engineers.
- Curiosity about the business side of technology. You're interested in understanding why companies buy, not just what they're building.
- Ownership mentality. You're comfortable operating with autonomy, making judgment calls without a playbook, and learning from what doesn't work.
WHY THIS ROLE IS DIFFERENT
Most AE roles are execution roles. This one is a craft role. You'll build deep product knowledge, learn how high-growth companies architect for scale, and develop commercial skills in an environment where your technical instincts are your biggest competitive advantage. For the right person, this is a rare opportunity to bridge two worlds — and get paid competitively to do it.
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.
Location: US - San Francisco, United States
Scopely is a global gaming company whose mission is to inspire play every day. Scopely Explore (a division of Scopely)’s mission is to inspire people to explore the world together. We build products that inspire exercise, exploration, and social in-person interaction.
We are seeking a quantitatively adept and business-minded
Senior Data Scientist, Marketing
, to support our global marketing organization. You will operate at the intersection of
data science
,
deep marketing domain expertise
, and
AI proficiency
. In this role, you will help develop measurement frameworks, analytical models(e.g Marketing Mix Modeling), and scalable reporting solutions that inform user acquisition, brand investment, CRM efforts, and long-term player growth. You will also utilize AI-augmented workflows to accelerate the end-to-end data science lifecycle.
This role is ideal for someone who combines strong technical skills with intellectual curiosity, a forward-thinking perspective on how AI will transform data science workflows, and a desire to understand how marketing investments translate into long-term player value.
Responsibilities
User Acquisition (UA)
Contribute to and own the Marketing Mix Modeling (MMM) and other aggregate measurement approaches to evaluate cross-channel and upper-funnel impact (e.g. brand) where deterministic attribution is limited.
Build and maintain robust ETL pipelines that ingest, transform, and validate UA data from ad networks, MMPs, and internal systems.
Develop and refine predictive LTV (pLTV) models to enable faster optimization of UA campaigns based on early user signals.
Explore, develop, and refine AI-based systems that are able to answer common data inquiries from stakeholders, as well as quickly diagnose data pipeline issues, etc.
Support testing frameworks (e.g., geo experiments, holdouts, incrementality tests) to evaluate campaign effectiveness in privacy-constrained environments.
Partner with Finance and UA teams to align on forecasting methodologies and investment strategies driven by pLTV and payback periods.
Direct Marketing
Build and maintain reliable datasets and ETL workflows that ingest and transform marketing data from ad platforms, CRM systems, social channels, and internal data sources.
Support measurement and optimization of direct marketing channels including email, push notifications, in-app messaging, and other CRM/lifecycle campaigns.
Partner with Marketing stakeholders to provide actionable insights on targeting, segmentation, messaging effectiveness, and channel strategy.
Analytics Infrastructure & Workflow Efficiency
Contribute to scalable dashboards and standardized reporting that enable self-serve marketing analytics.
Identify opportunities to automate recurring reporting and insight generation for marketing stakeholders.
Leverage modern AI/ML tools (e.g., automated modeling workflows, AI coding assistants) to improve analysis speed, code quality, and documentation and bridge the gap between technical AI-driven insights and business stakeholders to ensure output is accurate and aligned with complex business logic.
Ensure data quality, documentation, and consistency across marketing data pipelines.
Contribute to responsible and thoughtful adoption of AI-powered analytics tools to ensure maintainability and long-term knowledge sharing.
Qualifications
4-8 years of experience in data science, marketing analytics, or a related quantitative role (gaming, mobile, or digital consumer experience preferred).
Demonstrated proficiency in integrating AI agentic tools to accelerate end-to-end data science workflows.
Proven experience in user acquisition measurement and attribution with exposure to Marketing Mix Modeling or other aggregate-level measurement frameworks.
Understanding of full marketing funnel, including brand/awareness, social, UA, and direct marketing channels (e.g., email, push, CRM).
Familiarity with core performance metrics such as CAC, ROAS, retention, engagement, and LTV.
Experience working with marketing data from ad platforms, CRM systems, or aggregate reporting environments.
Proficiency in SQL and experience using Python (or similar) for analysis.
Experience working with large datasets in a cloud data warehouse (e.g., BigQuery) and building dashboards in BI tools (e.g., Looker).
Strong analytical, communication, and stakeholder management skills in a cross-functional environment.
Plus If…
Experience supporting brand or upper-funnel marketing measurement.
Familiarity with lifecycle marketing analytics, segmentation modeling, or propensity modeling.
Experience building marketing data pipelines using Airflow, Composer, or similar orchestration tools.
Experience working with global marketing teams across multiple regions.
For candidates in CA, CO, NJ, NY, and WA, the annual salary range is provided below. In addition to base pay, employees may be eligible for equity, bonuses, and a comprehensive benefits package, including healthcare benefits, retirement benefits, pet insurance, paid holidays, paid Scopely free days, and unlimited paid time off. Base pay offered may vary depending on job-related knowledge, skills, and experience.
CA, CO, NJ, NY, and WA Annual Salary Range
$17,100
—
$253,000 USD
About Scopely
Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.
Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come.
Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play.
Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit:
https://www.scopely.com/
.
Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official
website
and verify that all Talent Partner communications come from an email address ending in @
scopely.com
.
Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here:
California Privacy Notice
and
EEA/UK Privacy Notice
.
Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.
Location: New York, NY (HQ); San Francisco, CA; Remote (US)
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
We’re looking for someone to help lead the future of analytics at Ramp. This person will enable Ramp to get 1% better every day by developing data products and insights. They will partner closely with business stakeholders and product, engineering, and design counterparts to prioritize and execute on work, improve reporting, as well as drive results and process improvements.
WHAT YOU’LL DO
- Full stack development, building models to consume, transform, and expose data to stakeholders and production systems
- Drive a culture of experimental design, testing agenda, and best practices
- Contribute to the culture of Ramp’s data team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way
- Collaborate with P/E/D/D (product, engineering, data and design) teams to develop product roadmaps and measure success
- Work closely with data engineering teams to capture, move, store, and transform raw data into highly actionable insights, and partner with business teams to turn those insights into action
WHAT YOU NEED
- Minimum of 4 years of industry experience as a Data Scientist
- Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery) and how to write efficient SQL queries
- Familiarity with BI tools (preferably Looker, Omni, Sigma, Hex or equivalent) and experience distributing data insights via reports and dashboards
- Track record of shipping high quality products and features at scale
- Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions
NICE-TO-HAVES
- Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Hightouch or equivalents)
- Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)
- Experience within the payments and financial technology space
- Familiarity with B2B enterprise sales cycle metrics and processes
ABOUT OUR TEAMS
- Product Data | Ramp’s Product Data team is responsible for delivering data products and insights that shape Ramp’s product direction and unlock business value. The Product Analytics team is also responsible for building out the platform through which new products are launched, instrumented, tested, and QA’d. The team embeds deeply as a partner to engineering, product, and design.
- Risk & Capital Markets Data | Ramp’s Risk Data team is responsible for how risk is evaluated, and building the risk infrastructure to scale to millions of businesses in the United States. Areas include risk operations and underwriting, limit setting and pricing across financial products as well as fraud detection, regulatory reporting, and capital market relationships.
- Growth Data | Ramp's Growth Data team ships data products and insights that allow Ramp to acquire new business and expand existing business and partnerships at scale. Current areas of focus include: Web & Martech, Outbound Automation, Customer Data Platform, Self-Service Product, GTM Strategic Finance, and Business Systems.
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: San Francisco; New York
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
Some of the world's largest companies and their law firms use Harvey's AI capabilities to deliver world-class client services at unprecedented scale and efficiency. Our customers depend on us to deliver a secure, trustworthy, and compliant platform and earning that trust is a business enabler we value above all else. In this role, you'll report to the Head of Trust and serve as the engineering backbone of Harvey's compliance and assurance programs. You'll build and own the data infrastructure, automation tooling, and AI-powered workflows that allow our Trust team to scale audit readiness, continuous monitoring, and risk reporting without scaling headcount. This means selecting best-in-class compliance automation platforms, building our own compliance data layer, and developing AI-powered workflows to automate evidence collection, control testing, and assurance reporting.
WHAT YOU'LL DO
- Own the implementation and optimization of Harvey's compliance automation tooling to automate workflows across compliance programs
- Design and build a compliance data layer in Snowflake — ingesting signals from infrastructure, security tools, and SaaS platforms to create a real-time view of control health and audit readiness
- Develop AI agents and automated pipelines for evidence collection, control testing, and continuous monitoring at scale
- Partner with Engineering and Security to map technical implementations to compliance controls and maintain a living, accurate control inventory
- Build reporting layers that translate compliance signals into clear narratives on risk posture and certification status for executive and cross-functional audiences
WHAT YOU HAVE
- 6+ years in software, data, or security engineering with exposure to compliance automation or trust and assurance programs
- Hands-on experience building data pipelines on Snowflake, BigQuery, or comparable platforms; strong SQL and Python
- Experience implementing or administering compliance automation platforms
- Working knowledge of at least one compliance framework — enough to understand control requirements and map them to technical implementations
- Experience building AI-powered workflows or agents using LLMs
NICE TO HAVE
- Experience at a high-growth SaaS company building or scaling a Trust or compliance engineering function from the ground up
- Familiarity with cloud infrastructure (AWS, GCP, Azure) and how infrastructure-as-code tools connect to compliance evidence
- Prior involvement in government compliance programs
COMPENSATION
$220,000 - $330,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].
#LI-KV1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: Remote, AMER
Workplace: Remote
Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.
We’re seeking a Customer Solution Architect Team Lead to captain a high-performing team of Customer Solutions Architects and help drive the adoption of Supabase across a diverse range of customers: from agile startups building towards their first launch to established brands with highly scaled workloads. This role will support the East Coast region across the Americas.
As the CSA Team Lead, you will be responsible for both people management and customer outcomes - supporting team execution while developing repeatable best practices across pre-sales discovery, proof-of-value onboarding, and technical success.
WHAT YOU’LL DO
At Supabase, CSA Leads oversee a portfolio of high-value customers by empowering their team to deliver technical excellence and long-term customer success. You'll work directly with the team to:
- Hire, coach, and grow a global team of CSAs who serve as trusted technical advisors to our customers.
- Collaborate with Sales, Product, and Engineering to define and scale the CSA motion across the full customer journey—from discovery through adoption and renewal.
- Create structured onboarding, training, and development plans for CSAs to level up in technical storytelling, Postgres optimization, and customer success strategy.
- Ensure CSAs consistently deliver successful outcomes, unblock adoption, and drive value for paid Team and Enterprise accounts.
- Work directly with strategic customers when needed—especially during complex escalations, architectural deep dives, or critical onboarding milestones.
You'll be joining our team to support Supabase Team & Enterprise customers, where you will be expected to lead and innovate around the following areas of responsibility:
PRE-SALES DISCOVERY:
- Lead and review technical discovery led by CSAs to uncover business and technical objectives, set appropriate expectations of the Supabase platform, and define the criteria for success.
- Guide CSAs in designing and presenting platform demonstrations tailored to high-value customers, helping them clearly articulate the value of the Supabase platform and team.
- Collaborate with Growth team members to size deals, provide anticipated usage estimates, and identify potential workloads supported by the Platform.
PROOF-OF-VALUE ONBOARDING
- Support your team in defining and executing proof-of-value scopes that balance business outcomes with low-friction onboarding.
- Ensure CSA-owned timelines, success criteria, and engagement tactics result in a high proof-to-conversion success rate.
- Build reusable onboarding flows (email sequences, docs, templates, webinars) that accelerate time-to-value for new customers.
CUSTOMER SUCCESS & EXPANSION
- Help your team build detailed account plans focused on both short-term adoption and long-term expansion opportunities.
- Provide ongoing technical coaching for CSAs conducting architecture reviews, schema design evaluations, and performance tuning for production workloads.
- Partner cross-functionally to advocate for customer feedback, share emerging customer needs with Product & Eng, and communicate roadmap milestones back to customers.
TRUST & PLATFORM ADVOCACY
- Coach CSAs to act as internal and external champions of Supabase, building trust with customers through consistency, clarity, and deep product expertise.
- Uphold a standard of excellence in customer engagement, ensuring Supabase becomes embedded in the way our customers build.
PREFERRED EXPERIENCE
- 6+ years of experience in Solutions Architecture, Technical Account Management, or Database Engineering.
- 2+ years of people management or team leadership experience, ideally in a high-growth, technical startup environment.
- Strong background with relational databases (PostgreSQL preferred), with a deep understanding of schema design, indexing, and query performance.
- Hands-on experience building modern web applications using frameworks like React, Svelte, Vue, or Node.js.
- Clear, confident technical communicator and storyteller. Must be able to distill complex technical topics into actionable outcomes for customers and team members alike.
- Experience navigating stakeholder alignment, conflict resolution, and collaborative problem-solving across teams.
- Familiarity with tools such as HubSpot, BigQuery, and internal BI dashboards.
WHAT WE OFFER
- Fully Remote
We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.
- ESOP
Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.
- Tech Allowance
Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.
- Health Benefits
Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.
- Annual Off-Sites
Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.
- Flexible Work
We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.
- Professional Development
Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.
ABOUT THE TEAM
Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.
- ~400 team members
- 60+ countries
- 20+ languages spoken
- Over $1B raised (including our $500M Series F)
- 540,000+ community members
We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
Задачи:
— Проектировать и развивать архитектуру корпоративного Data Warehouse
— Строить ELT-пайплайны с использованием Python
— Поддерживать Master Data Management (MDM) и качество данных
— Разрабатывать дашборды и отчёты в Power BI
— Управлять рабочим пространством Power BI и доступом
— Взаимодействовать с командами аналитики, продукта и технологий
Требования:
— Опыт 3+ года в BI, Data Analyst или BI Developer
— Уверенное владение SQL (PostgreSQL, BigQuery)
— Опыт проектирования DWH и моделирования данных
— Знание Python (pandas, SQLAlchemy, Airflow или аналогичные инструменты)
— Опыт работы с Power BI (отчёты, дашборды, администрирование)
— Глубокое понимание BI-систем и рабочих процессов
Плюсы:
— Опыт в e-commerce, игровой индустрии или цифровых продуктах
— Знание Power Query, Power Pivot
— Опыт с Looker Studio, QlikView
— Опыт автоматизации отчётности
Условия:
— Работа в быстрорастущей fintech-компании
— Высокая степень ответственности и реальное влияние на продукт
— Международная команда и современный офис
— Зарплата 5000-8000 евро net
— Поддержка релокации (перелёт, проживание, виза)
— Гибридный формат работы в Лимассоле
ГибридmiddleBI / DATA Warehouse Engineer (Fintech) | RELOCATION TO CYPRUS | #relocation to #cyprus #fulltime #itjob https://teletype.in/@courierus/KaHsCdZjTZp; RELOCATION TO CYPRUS | 5000-8000 EUR We are looking for a BI professional to design and develop our corporate Data Warehouse and analytics systems; 🧩 Responsibilities: • Design and develop DWH architecture • Build ELT pipelines using Python • Maintain Master Data Management (MDM) and data quality • Develop dashboards and reports in Power BI • Manage Power BI workspace & access • Work with analytics, product & tech teams 🛠 Requirements: • 3+ years in BI / Data Analyst / BI Developer roles • Strong SQL (PostgreSQL / BigQuery) • Experience with DWH design & data modeling • Python (pandas, SQLAlchemy, Airflow or similar) • Power BI (reports, dashboards, admin) • Strong understanding of BI systems & workflows • Experience with large datasets ⭐ Nice to have: • E-commerce / gaming / digital product experience • Power Query / Power Pivot • Looker Studio / QlikView • Reporting automation experience 🌟 Why Join Us: • Fast-growing fintech environment • High ownership & real impact • International team & modern office • Salary 5000-8000 eur net • Relocation support (flight, accommodation, visa) • Hybrid work in Limassol CONTACT https://t.me/Tan_rec
Location: Remote, Germany, EMEA
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
Fivetran is building data pipelines to power the modern data stack for thousands of companies.
We’re looking for a talented
German speaking
Senior Sales Engineer to join our Enterprise sales team. As an Enterprise Sales Engineer, you will work closely with our sales team to understand our Enterprise customers’ complex business needs and showcase how Fivetran’s data replication solutions can help them achieve their desired business outcomes. You will be responsible for providing technical expertise, identifying technical requirements, and ensuring a successful proof-of value throughout the sales cycle.
This is a full-time remote position based in Germany, with preference for Munich.
Technologies You’ll Use
AWS, GCP, Azure, Snowflake, BigQuery, Databricks, New Relic, Linux, Windows, Python, Java
What You’ll Do
Work with Enterprise customers to understand their business, their use cases, and their data replication requirements
Develop and deliver technical presentations to Enterprise audiences
Ensure the technical win by running an organized proof-of-value process
Work closely with multiple cross-fuctional organizations driving change and improvements to Fivetran as a whole.
Work closely with multiple Sales representatives, while maintaining a high level of customer focus and technical excellence
Stay up-to-date on the latest technologies and trends in our industry
Assist team members in advanced technical or business roadblocks
Skills We’re Looking For
Native/Professional Proficiency in German
5+ years in data replication, sales engineering, or related technical field
Strong technical background covering database replication, cloud infrastructure, and data replication technologies with some form of hands on experience
Experience with modern data analytics technologies, including cloud data warehouses, transformation tooling, data catalogs, and BI tools
Excellent communication and presentation skills with a keen ability to explain complex technical concepts to both technical and non-technical stakeholders
Strong problem-solving and analytical skills
Experience with Oracle, SQL Server, Postgres, MySQL, and NoSQL databases
Hands on experience with other data replication or ETL tools
Experience with self-hosted software applications and supporting infrastructure
Hands on networking experience both in the cloud and on-premise
Bonus Skills
Experience developing partner relationships
Specialized expertise in security posture
Experience with self-hosted and SaaS software applications
Hands on experience with DBT
Docker/Podman/Kubernetes experience
#LI-LA1
#LI-REMOTE
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Pay Range
€101.516,63
—
€126.896 EUR
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: Americas Remote
About
Customer.io
Over 9,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day.
Customer.io
powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data.
About the role
Hi, my name is Michael, Head of Data & Analytics at
Customer.io
, and I'm looking for a Senior Data Scientist to help our teams make better decisions using customer and product data.
You'll partner closely with Product, Marketing, and Customer Experience to evaluate product changes, design and analyze experiments, identify opportunities to improve the customer experience, and influence roadmap and business priorities. This is a hands-on role focused on analyzing behavior, building models, and turning data into clear, actionable direction.
This role is ideal for someone who enjoys solving ambiguous problems, working closely with stakeholders, and applying data science pragmatically to support product and business decisions. We're looking for someone with an ownership mindset and a bias for action who balances technical rigor with practical decision-making.
What we value
Ownership:
You take initiative and drive analytical work from concept to implementation. You don't wait for perfect requirements — you help define the problem and move the work forward.
Curiosity:
You naturally question assumptions and dig deeper into the "why" behind user behavior. You enjoy uncovering patterns in complex data and have the persistence to work through ambiguity and messy datasets.
Analytical Rigor:
You bring a thoughtful, structured approach to analytics and decision-making. You know how to define meaningful measures of success, evaluate changes with rigor, and distinguish signal from noise in complex behavioral data so teams can act with confidence.
Communication:
You can translate complex analytical concepts into clear recommendations for Product Managers, executives, and non-technical stakeholders.
Collaboration:
You work as a true cross-functional partner, balancing analytical rigor with practical business needs. You build trust by making data approachable, actionable, and reliable.
What you'll do
Analyze behavioral patterns across the customer lifecycle to identify trends, usage archetypes, and opportunities to improve adoption, engagement, and retention.
Design experiments and measurement approaches to evaluate the impact of product and marketing changes - and help teams make decisions based on evidence rather than intuition.
Build models and datasets that improve how teams segment customers, forecast outcomes, and identify trends.
Apply machine learning and AI techniques where they solve practical problems, for both internal decision-making and customer-facing scenarios.
Partner with Data Engineering to improve the quality, reliability, and accessibility of core data and metrics.
Communicate findings clearly and directly so teams can make informed decisions without needing a statistics background.
What we're looking for
5+ years of experience in a Data Science role within B2B SaaS or a similar product- or growth-focused environment.
Strong foundation in statistics, experimentation, and behavioral analytics - with the ability to apply them pragmatically to real product and business problems.
Proficiency in SQL and Python for large-scale analysis, modeling, and exploration.
Experience with modern cloud data platforms (Snowflake, BigQuery, or similar); familiarity with dbt is a plus.
Strong communication and stakeholder skills - you can explain complex analysis clearly to PMs, marketers, executives, and non-technical partners.
An ownership mindset - you help define the problem and move work forward; you don't wait for perfect requirements.
Why This Role
This role offers the opportunity to work on high-impact problems across the business while helping shape how data science and analytics evolve within the organization. You'll have the autonomy to explore meaningful questions, influence strategy, and help build a stronger data-informed culture.
Compensation & Benefits
We believe in transparency. Starting salary for this role is $140,000-$160,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build.
We know our people are what make us great, and we’re committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including
100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family
. We also offer
16 weeks paid parental leave, unlimited PTO
, stipends for remote work and wellness, a professional development budget, and more.
See full benefits here →
Our Process
No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision.
30-minute call with Recruiter
45-minute call with Hiring Manager
45-minute 1:1 Technical Interview
Take-Home Assignment + 45-minute review call
30-minute Final Interview with Stakeholder
All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.
Customer.io
recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact.
Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official
Customer.io
letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact
jobs@customer.io
.
Join us!
Check out our
careers page
for more information about why you should
come work with us!
We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you’re excited by what you read — apply now.
Location: Tel Aviv
Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally.
As a
Software & Data Engineer
at Via, you will play a central role in building and evolving the data infrastructure that powers one of the world's leading transportation platforms. You'll work with rich, complex transportation data - from ride bookings and payments to real-time operational signals - designing the pipelines and systems that turn raw data into clean, reliable, and actionable insight across the business. This is a high-ownership role on a talented and deeply motivated engineering team in Tel Aviv, where your work will directly shape how Via understands and improves its service for cities and riders around the world.
About the Role:
Design and build highly scalable, reliable data pipelines that serve clean, structured data across Via's engineering, product, and business teams - ensuring the entire organisation can trust the data it works with
Own the architecture of complex data models that translate messy, real-world transportation data - bookings, payments, driver activity, and more - into systems that are fast, efficient, and built to scale
Lead end-to-end development across the full data lifecycle: from architecture and design through to deployment, monitoring, and continuous improvement
Proactively monitor data quality and reliability, identifying and resolving discrepancies before they reach stakeholders - building the kind of data infrastructure people can depend on
Collaborate with a broad forum of engineers, analysts, and business stakeholders to identify data needs, design POCs, and ship scalable solutions that make a real difference to how Via operates
Contribute to the adoption and evolution of our modern data stack, including DBT, Airflow, Iceberg storage, and AWS big data tooling such as Glue, EMR, and Athena
About You:
5+ years as a Data Engineer with production-grade Python and SQL
Solid data warehousing experience (e.g., Snowflake, Databricks, Redshift, BigQuery).
Hands-on AWS familiarity: Lambda, S3, SNS/SQS, Firehose, and related lake/ingestion patterns.
Platform mindset: reliability, observability, and systematic production debugging.
Terraform/IaC skills: read, modify, and ship changes for EKS-based deployments.
AI tooling fluency: Cursor/Claude as a primary workflow, can navigate unfamiliar codebases with AI assistance
Experienced with modern data stack tooling; DBT, Airflow, and Iceberg storage are a significant advantage, as is familiarity with AWS big data services and BI tools such as Looker or Tableau
Passionate about data and genuinely curious about technology - you're the kind of person who identifies a gap, designs a solution, and sees it through without being asked
A strong collaborator who thrives working across engineering and business teams, comfortable translating ambiguous business needs into precise, well-designed data models
Self-driven and comfortable navigating complexity independently - you bring clarity to hard problems and raise the bar for the people around you
Compensation and Benefits:
Our product impacts millions of users around the world providing alternative transport solutions that are more: efficient and accessible, changing cities to make them greener.
Competitive compensation package which includes base salary and equity
Health insurance with a discount for family members
Hybrid work and a lovely office situated in the heart of TLV, in Midtown, close to the light rail and train station
Career development and growth opportunities
Other perks: Freefit and other sports lessons, 10bis/Cibus - you choose!, happy hours, team events, communities and many more benefits
There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride?
Via is an equal opportunity employer.
We’re Via, and we build technology that changes the way the world moves. We’re driven by a simple mission: to create modern and efficient public transportation systems that provide far greater access to jobs, healthcare, and education. With our best in class suite of products, we make transit thrive.
Our teams of worldclass engineers, data-scientists, product managers, operations specialists, marketers, transit experts and more bring cutting-edge AI-powered software and innovative technology-enabled operations to our partners across the globe. Founded in 2012, Via builds solutions to digitize, automate, and enable data-driven decision making for entire transportation networks; fixed-route buses, microtransit, paratransit, school buses, autonomous vehicles, and more.
If you’re excited to be at the forefront of modernizing the future of transportation, are up for solving tough problems, and willing to become/already are a transit nerd, we are the place for you. Even if your past experience doesn’t align perfectly with every qualification in the job description for this role, we encourage you to apply. You may be just the right candidate for this or other opportunities.
Ready to join the ride?
Via is an equal opportunity employer.
Location: Remote
Workplace: Remote
We are looking for a Sr. Product Data Scientist to join our growing Data team in our Product organization. This is a senior individual contributor role with broad scope across product insights, experimentation, modeling and applied analytics. The ideal candidate is not only technically strong, but also proactive in uncovering opportunities, framing insights, and ensuring leaders have the context they need to make the right calls. We are looking for this individual to bring analytical thought leadership as we continue to rapidly grow and iterate on our product offerings across Talkiatry.
You’ll own projects that range from producing growth and performance analyses that guide strategic and product decisions, to designing and evaluating experiments, to improving patient engagement and clinical efficiency. You’ll be expected to communicate insights proactively, frame results in business terms, and work closely with your core cross-functional teammates (Product, Engineering and Design) as well as stakeholders across Operations, Clinical, and Finance.
ABOUT TALKIATRY:
Talkiatry is transforming mental health care by making high-quality psychiatry more accessible, human, and sustainable for both patients and clinicians. Co-founded by a patient and a triple-board-certified psychiatrist, we were built to solve one of healthcare’s most urgent challenges: millions of people struggle to access mental health care, while clinicians face growing administrative burden and burnout. Through our technology-powered, in-network platform, we’re changing that, creating a better experience for patients and empowering clinicians to focus on delivering exceptional care.
Today, Talkiatry is the largest dedicated psychiatry practice in the U.S., with 900+ psychiatrists, 400+ therapists, and more than 4 million patient visits delivered nationwide. At our scale, every innovation has real impact. Every workflow we improve, every technology solution we build, and every patient experience we redesign helps thousands of clinicians provide better care to hundreds of thousands of patients. We’re not just growing quickly — we’re redefining how behavioral healthcare is delivered in America.
Joining Talkiatry means joining a mission-driven team that is solving complex problems at scale, driving meaningful change in healthcare, and building the future of mental health care with compassion, innovation, and purpose.
YOU WILL:
Proactive Insights & Storytelling
- Identify growth opportunities for the Product teams by analyzing data and understanding patient behaviors.
- Help Product teams maximize impact, by working wtih PMs and engineers to understand costs and constraints, while looking at underlying data and making reasonable assumptions to size opportunities.
- Identify risks by exploring data and monitoring trends to understand the impact of emerging issues before they become problems.
- Frame analyses and estimates in terms of “so what” for the practice to ensure findings don’t just inform, but influence the team.
- Develop regular deliverables that turn historical data into forward looking guidance for product and operational teams.
- Anticipate questions our teams should be asking and bring forward insights before they’re requested.
Experimentation & Measurement
- Partner with Product and Operations teams to design experiments, define success metrics, and implement robust statistical evaluation frameworks.
- Ensure appropriate statistical power, so results are both valid and actionable.
- Analyze experiment results and establish clear post experiment communication, ensuring learnings (positive or negative) are codified and inform future product or operational decisions.
Applied Analytics
- Lead analyses on patient growth, clinician utilization, marketplace dynamics and more to surface actionable insights to leadership.
- Translate adhoc analyses into repeatable frameworks and scalable reporting so insights don’t stay one-off, but become institutional knowledge.
Collaboration
- Collaborate with Data Engineering and Analytics Engineering teams to define requirements and highlight gaps, so that data pipelines reliably support advanced analytics and modeling.
- Act as a thought partner to Operations, Clinical, and Finance leaders, not just answering questions, but shaping the questions we should be asking.
YOU HAVE:
- 4+ years of experience in data science, analytics, or related fields, with a track record of delivering measurable business impact.
- Advanced proficiency in Python (pandas, scikit-learn, statsmodels and all other common data science packages) and SQL; experience with modern data warehouses (Snowflake, Redshift, BigQuery).
- Strong foundation in experimental design, causal inference, and statistical methods.
- Exceptional communication skills, displaying the ability to frame technical findings in a way that resonates with stakeholders.
- Experience in DBT is a plus, but not required.
- Experience on a Product growth team, where experimentation and opportunity identification were key aspects of the role, is a plus.
- Strong applied experience in data science is essential; a Master’s or PhD in a quantitative field is a plus.
WHY TALKIATRY:
- Top-notch team: we're a diverse, experienced group motivated to make a difference in mental health care
- Collaborative environment: be part of building something from the ground up at a fast-paced startup
- Excellent benefits: medical, dental, vision, effective day 1 of employment, 401K with match, generous PTO plus paid holidays, paid parental leave, and more!
- Grow your career with us: hone your skills and build new ones with our Learning team as Talkiatry expands
- It all comes back to care: we’re a mental health company, and we put our team’s well-being first
Talkiatry participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. only after a job offer is accepted and Form I-9 is completed. For more information on E-Verify, please visit the following: EVerify Participation https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.e-verify.gov%2Fsites%2Fdefault%2Ffiles%2Feverify%2Fposters%2FEVerifyParticipationPoster.pdf&data=05%7C01%7Cjill.steger%40talkiatry.com%7Cfe829943872e4bc8dc7b08db83d3c99d%7C803a6c90ec724384b2c01a376841a04b%7C0%7C0%7C638248717875458398%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=qFgJNzh246Js%2FFqdsb9OZgN55rg5GpsB0wjiTvkPn9w%3D&reserved=0 & IER Right to Work https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.e-verify.gov%2Fsites%2Fdefault%2Ffiles%2Feverify%2Fposters%2FIER_RighttoWorkPoster.pdf&data=05%7C01%7Cjill.steger%40talkiatry.com%7Cfe829943872e4bc8dc7b08db83d3c99d%7C803a6c90ec724384b2c01a376841a04b%7C0%7C0%7C638248717875458398%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=ivUqrPtiBjGVkMzpMBSYalwvm2Zxhj%2BScqVUX2OfqUA%3D&reserved=0.
At Talkiatry, we are an equal opportunity employer committed to a diverse, inclusive, and equitable workplace and candidate experience. We strive to create an environment where everyone has a sense of belonging and purpose, and where we learn from the unique experiences of those around us.
We encourage all qualified candidates to apply regardless of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status.
Location: ES - Barcelona, Spain
Scopely is seeking an
Analytics Engineer
to join our
Marketing Analytics
team in
Barcelona, Spain
, on a hybrid basis.
At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing, and innovating the mobile games industry, connecting millions of people worldwide daily.
Scopely is building the best SaaS gaming platform ever! The Marketing data team strives to create the world’s best products for UA, Ads, ASO, and Player Experience verticals. Powering many award-winning, loved-by-millions franchise games over mobile, web, and PC.
What You’ll Do
collaborate with engineers, product teams, and analysts to create self-serve insight products that are fast, accurate, and elastic at a petabyte-scale
work across the full data product lifecycle: designing new tracking plans, developing data models, ELT pipelines, and self-serve insight products like Looker explores and dashboards
own data quality and ensure metrics are defined and reported consistently across all data products
use cutting-edge data technologies, including BigQuery, dbt, and Looker, to develop scalable analytics solutions
apply historical and predictive analytics tools, including BQML, to identify trends and forecast player behavior
partner with game product teams and cross-functional stakeholders to understand their needs, improve workflows, and inform product decisions
contribute across the data stack and full data-product lifecycle while developing expertise in specific areas
What We’re Looking For
experience with modern data stack tools such as BigQuery, Snowflake, dbt, Looker, Airflow, GitHub, and command-line workflows, or a willingness to learn them
strong SQL skills and at least three years of experience in analytics engineering, data analytics, or a related field; equivalent practical experience is welcome
ability to translate business needs into effective analytics solutions
understanding of data modeling concepts, including star schemas and structured datasets
ability to balance business context, continuous improvement, and technical quality when designing solutions
collaborative approach and ability to build positive working relationships across teams
clear communication skills, including confidence in asking questions and sharing ideas
ability to adapt to changing priorities while maintaining focus on quality and outcomes
interest in learning and developing skills across the data workflow and technology stack
Interest or hands-on experience with AI-assisted tools, such as LLMs, agents, or workflow automation, to improve analytics workflows and team productivity is a plus, not a requirement
interest in video/mobile games or experience in the games industry is welcome
At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!
About Scopely
Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.
Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come.
Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play.
Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit:
https://www.scopely.com/
.
Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official
website
and verify that all Talent Partner communications come from an email address ending in @
scopely.com
.
Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here:
California Privacy Notice
and
EEA/UK Privacy Notice
.
Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.
ОфисseniorLisbon; Belgrade
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