Вакансии

Требования: — 2+ года опыта работы BI-аналитиком, аналитиком данных или на аналогичной аналитической должности — владение Google BigQuery, Advanced SQL, Python, Looker Studio, Tableau, Power BI — свободное владение английским языком О компании: SEARADAR — европейская платформа для аренды яхт, которая помогает яхтсменам находить и бронировать парусные яхты и катамараны в более чем 20 направлениях. Размер команды — 50+ человек.

Location: US - Culver City, California, United States Scopely is seeking a Senior Finance Analyst to join the team behind MONOPOLY GO! This role will be located in Culver City, CA on a hybrid basis. In this role, you will own the game’s recurring operational finance activities while building the tools and automation that make our work faster, more accurate, and more scalable. MONOPOLY GO! is a global phenomenon and the biggest mobile game launch in history, captivating millions of players worldwide. You will lead operating expense month-end close, accruals, headcount tracking, purchase orders, Workday approvals, and T&E visibility. This is a build-oriented role with a clear mandate to improve how the work gets done—not simply execute existing processes. We are looking for someone who can identify opportunities to apply AI and automation thoughtfully and effectively. Over time, this role will help advance an AI-native approach to FP&A, connecting close, planning, reporting, and approvals so routine work can run more efficiently and the team can focus on higher-value judgment. This is a greenfield opportunity with significant autonomy and a dedicated budget for tools and experimentation. You will also serve as the primary Finance business partner to our Engineering organization, acting as its main point of contact for spending, headcount, and planning. You will work closely with Finance Managers, the VP of Finance for MONOPOLY GO!, and cross-functional partners across the business, with strong senior-level support as you ramp into the role. Why this role stands out A build mandate. You own the FP&A automation stack — greenfield, with autonomy and a tool budget. A real part of the job is making the work better, not only keeping it running. Scale and visibility. MONOPOLY GO! is a large, fast-growing business. Your work informs game leadership directly, with regular exposure to the VP of Finance. Room to grow. A path into complex modeling, financial storytelling, and broader scope across Scopely's portfolio, with mentorship to get there. A strong team. You'll join a high-caliber group with backgrounds across high-growth tech, consulting, banking, and private equity. What you'll do The split is honest: expect the operational cadence to be a meaningful part of your week, and the build work to grow as you automate more of it. Run the OpEx close cadence. Month-end close, accruals, reclasses, and headcount reconciliation, plus high-volume PO/Workday approvals and T&E — accurately, on time, and independently before long. Build the automation. Replace manual reporting with automated workflows and dashboards, and apply AI where it genuinely helps across close, planning, reporting, and approvals. Partner with Engineering. Act as the finance business partner to the MONOPOLY GO! Engineering organization — helping them understand and plan their spend and headcount — and work with People & Talent, Business Operations, Customer Support, and QA to gather budget inputs and explain OpEx variances clearly. Think in systems. Connect steps across finance so the process gets simpler over time, with sensible checks where judgment matters. Keep the models trustworthy. Maintain revenue/cost and workforce-planning models so leadership sees current, reconciled, defensible numbers. What we're looking for An automation habit — you've automated manual reporting or finance processes, and you're interested in applying AI to real work. Experience with BigQuery, SQL, Python, or AI tools is a big plus Operational reliability — a track record of dependable, detail-accurate delivery on recurring, high-volume work Clear communication — you can explain numbers and variances to non-finance partners Located in, or willing to relocate to, the Los Angeles metro, working on-site/hybrid Ownership and integrity — you do well in a fast-paced, ambiguous environment, and are always looking for ways to add value Strong Excel and financial modeling — you build and maintain revenue/cost models and handle large datasets without hand-holding Hands-on FP&A foundation — you've done planning, forecasting, variance analysis, and a real close/reporting cadence, and can hit the ground running 2–5 years of finance/analytical experience, ideally in FP&A or finance at a brand-name technology or high-growth company How you work You form your own point of view and make the case for it — and you let it go gracefully when someone has the better argument. You lead with questions. You learn why something is the way it is before you start rewiring it. You get to great by iterating. You put a solid version out early, invite feedback, and keep sharpening it. When something falls between the cracks, you assume it's yours. You close the loop instead of flagging it and moving on. When you hit the same manual task twice, your instinct is to automate it — not grind through it a third time. Nice to have An undergraduate degree in engineering (computer, mechanical, electrical, industrial, aerospace, etc.) — a real plus for this role. Something you've built — an automation or tool you can walk us through. Experience with financial systems such as Oracle and Workday / Workday Adaptive Planning. Data platforms — Big Query, etc. A genuine interest in games, consumer products, or technology-driven businesses. Please ensure that the résumé/CV you attach is written in English. 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 $113,000 — $168,000 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: Tbilisi, Georgia; Belgrade, Serbia; Nicosia, Cyprus Workplace: remote About the team We’re the AI & Automation Engineering team. Our mission is to make life easier for every internal team through automation, from standalone tools to Operational Hub, the unified platform we’re building to house all the automation tools each department needs. We work directly with Growth, Strategy & Planning, Client Service, Operations, and Data & Solutions (among others), so most of what you build is used by the people you work with every day. The team today is small: a Product Manager, a Full-Stack Engineer, and an AI Implementation Engineer. But the company is growing very fast, and so is our team. About the role We’re looking for a Middle AI Implementation Engineer who thrives at the intersection of automation, AI-assisted development, and practical tool-building. You’ll work alongside our existing engineers to design, build, and maintain the internal tools and automated workflows that power day-to-day operations across the company. The work is hands-on and fast-moving: you’ll turn business needs into working solutions using n8n, LLM APIs (Claude, OpenAI), and AI-assisted development tools like Replit and Claude Code. If you build with AI, want real ownership over features, and want to work closely with the people who use what you build, this is the role for you. Responsibilities Design, build, and maintain n8n workflows that automate internal business processes. Troubleshoot and improve existing automations to keep them reliable, efficient, and easy to maintain. Develop and launch lightweight internal tools using AI-assisted development tools such as Claude Code and Replit. Integrate systems and services through APIs and webhooks, including LLM APIs such as Claude and OpenAI. Work directly with internal stakeholders to understand their needs and translate them into practical solutions. Test tools and workflows, gather user feedback, and deliver improvements as business needs evolve. Contribute new features to the team’s Operational Hub and collaborate with engineers on technical decisions. Take ownership of assigned projects, from requirements gathering through launch and ongoing support. 2+ years of professional experience in QA (preferred), analytics, or project management. Hands-on programming skills are also welcome. Hands-on experience building, debugging, and maintaining workflows in n8n or Make.com. Ability to build and ship functional applications using AI-assisted development tools such as Claude Code, Replit, Cursor, or similar. A working understanding of APIs, webhooks, and data flows, with the ability to troubleshoot integration issues. Basic proficiency in SQL, ideally BigQuery, including reading and working with structured data. Strong communication and stakeholder management skills, with the ability to collaborate with technical and non-technical teams. Ability to understand business processes, clarify requirements, and translate them into practical tools and automations. A proactive approach to problem-solving, willingness to learn, and ownership of your work. Nice to have Experience with Google APIs, particularly Sheets, Drive, and Calendar. Familiarity with Clerk or similar authentication and authorization tools. Knowledge of React or basic frontend development. Experience integrating Slack, Asana, HubSpot, or similar business tools. Experience in AdTech or MarTech. Portfolio If we move forward after the initial HR interview, we’ll ask you to share a portfolio of tools or automations you’ve delivered. Please highlight their measurable business impact and explain your personal contribution to each project.

Location: Metn, Lebanon The Company Toters is an on-demand e-commerce and delivery platform and operates a service that enables customers to get anything in their city at the highest level of convenience. At Toters, technology is at the heart of everything we do. We have product teams that are working hard every day to create products that make our customers' lives easier. Our engineers are also continuously creating solutions to make our processes more efficient, all in an effort to get to our customers fast and at the best cost. If you are interested in working in a high growth startup environment, and look to be part of a team that will potentially change the way customers shop in the Middle East, apply now. Role We are looking for a Senior Data Analyst to own end-to-end analytics for our core engines. In this role, you won't just build dashboards, you will partner directly with Business Leaders to define roadmaps, business cases, and design synthetic experiments. You will turn ambiguous data into an actionable strategy that directly impacts customer conversion, driver efficiency, and growth. What You’ll Do Product Partnership & Strategy: Collaborate with Product Managers, Strategy Directors and Business leaders to translate complex business problems into data-driven product features and strategic roadmaps. Experimentation & A/B Testing: Design, implement, and analyze rigorous A/B and multivariate tests to evaluate feature launches, pricing mechanics, and UX changes across our apps. Funnel & Marketplace Optimization: Deep-dive into consumer retention, funnel conversion, courier dispatch dynamics, and merchant metrics to unlock business growth and improve unit economics. Metric Standardization: Define core product KPIs and maintain a single source of truth by building robust data models (data warehouse) and production-grade dashboards (Tableau). Data Quality & Infrastructure: Enforce strict data validation standards, maintain data governance across clickstream/event tracking, and ensure downstream reporting reliability. Technical Leadership: Mentor junior analysts, lead code reviews for analytical SQL scripts, and elevate overall analytics best practices across the team. What We’re Looking For Experience: 4+ years of data analytics experience, ideally in a product-led tech company, hyper-growth startup, or multi-sided marketplace (e.g., delivery, ride-hailing, e-commerce). Advanced SQL Mastery: Recognized expert in writing clean, modular, scalable SQL code optimized for complex datasets. Statistical Rigor & Python/R: Strong understanding of hypothesis testing, causal inference, and statistical modeling using Python or R. BI & Data Modeling: Hands-on experience building centralized dashboards in Tableau and working with modern data stack tools (dbt, Snowflake, BigQuery, Databricks). Product Intuition: Demonstrated track record of leveraging user behavior analytics (event tracking, cohort analysis, funnel drop-off) to directly influence product decisions. Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Economics, or an equivalent quantitative field. Nice to Have Experience working with clickstream tools (Mixpanel, Amplitude, Segment). Hands-on knowledge of data engineering tools or orchestration frameworks (Airflow, dbt). Experience in experimentation tools (Statsig)

Задачи: — Разработать CRM-стратегию роста и удержания клиентов SUPERPET; — Настроить и оптимизировать коммуникации: e-mail, SMS, push, Telegram; — Сегментировать базу и выстраивать жизненный цикл клиента с понятной логикой переходов; — Разрабатывать и тестировать триггерные цепочки и автоматизации (welcome, onboarding, реактивации, праздники, кросс-продажи и т.д.); — Прорабатывать тексты и креативы с копирайтером и дизайнером под цели каждой цепочки; — Развивать программу лояльности и реферальную программу; — Отслеживать, анализировать, корректировать — до достижения плановых показателей; — Формировать ежемесячную отчётность по CRM-метрикам (OR, CTR, CR, Retention, LTV, ROI); — Вносить предложения по росту выручки через CRM-инструменты. Требования: — Опыт в CRM-маркетинге от 6 лет, из них не менее 3 лет — с e-commerce или D2C; — Практическое владение CRM-платформами (UniSender, Mindbox, eSputnik, Klaviyo, SendPulse и др.); — Умение строить воронки, сценарии, сегментацию и аналитику; — Способность мыслить метриками и циклами, а не “отправками по календарю”; — Понимание retention-маркетинга, LTV, когортного анализа; — Аналитический склад ума, высокая точность, самоорганизация; — Умение работать с аналитикой, BI, отчетностью, A/B-тестами. Будет преимуществом: — Опыт построения CRM с нуля или перехода с одной системы на другую; — Знание SQL, базовой аналитики, работы с BigQuery / Google Data Studio; — Опыт интеграции CRM с сайтом, колл-центром, Telegram-ботами; — Понимание особенностей pet-рынка, подписочных моделей и e-commerce. Условия: — Работа с брендом, где CRM — не “рассылки”, а стратегический канал роста; — Возможность создавать систему с нуля и реально влиять на результат; — Прямая коммуникация с фаундерами и продуктовой командой; — Свобода действий при полной ответственности за цифры; — Формат: удалёнка; — Доход: фикс + бонусная часть по KPI (LTV, Retention, CR, ROI). Для отклика: — Отправьте короткое сопроводительное письмо с объяснением, почему SUPERPET и какие результаты в CRM вы считаете своими лучшими; — Необходимость выполнить тестовое задание, которое поможет оценить стратегическое мышление, подход к цифрам и понимание CRM-механик.

Location: CA - Canada Scopely is looking for a Live Ops Manager to join our MARVEL Strike Force team in Canada on a remote basis or Mexico City 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 around the world daily. MARVEL Strike Force is Scopely's squad-based Hero Collector RPG, housing heroes and villains across the Marvel Universe. What You Will Do You will be the operational bridge between Live Ops strategy and high-quality in-game execution. You will gather requirements from the events and monetization teams, translate them into executable plans and configurable designs, and manage work across our Live Ops implementation partner. The role is accountable not only for accurate configuration, but also for ensuring that offers, events, milestones, and rewards remain complementary to the broader strategy and value proposition. Translate Strategy into Execution: Turn high-level designs for offers, events, milestones, rewards, and other Live Ops components into clear Jira tickets, configuration specifications, acceptance criteria, and implementation plans Manage the Implementation Partner: Prioritize, delegate, and track work across our Live Ops implementation partner, ensuring that owners, dependencies, timing, and escalation paths are clear Own Execution Readiness: Maintain a reliable view of upcoming launches, confirm that requirements and assets are complete, and drive issues to resolution before they create player-facing or business risk Provide Strategic and Value Quality Assurance: Review configured content for technical accuracy, player value, internal consistency, and alignment with the intended engagement and monetization strategy Coordinate Across Live Ops: Gather direction from events and monetization product managers, resolve conflicts across overlapping workstreams, and ensure that individual components reinforce the overall monthly plan Improve Operating Systems: Create and refine templates, checklists, documentation, and repeatable workflows that increase implementation speed, reduce errors, and make execution easier to scale Use Data to Inform Delivery: Use performance data and player segmentation to understand the intent behind requirements, validate implementation choices, and support post-launch reviews Accelerate Through Artificial Intelligence: Use artificial intelligence tools, including Codex and ChatGPT, to develop requirements, analyze data, create documentation, identify inconsistencies, and improve execution quality What We're Looking For 3+ years experience in live operations, product operations, production, product management, or a comparable execution-focused role in mobile or free-to-play games A high-ownership, hardworking operating style and a strong desire to grow a career in mobile game product management Exceptional organization, follow-through, and attention to detail across multiple concurrent deadlines and workstreams Experience translating ambiguous or high-level direction into precise tickets, requirements, and acceptance criteria; familiarity with Jira is strongly preferred The judgment to evaluate both configuration accuracy and whether an implementation supports the intended player and business outcomes Comfort managing external partners or distributed implementation teams through clear delegation, prioritization, feedback, and escalation Strong analytical skills and comfort using data to inform events and monetization requirements; Structured Query Language (SQL) proficiency is preferred Demonstrated comfort using artificial intelligence tools to accelerate analysis, documentation, quality assurance, and workflow improvement Clear written and verbal communication with product, economy, analytics, production, and implementation partners Bonus Points Hands-on experience with SQL, BigQuery, Looker, or comparable analytics tools Experience designing milestone systems, event rewards, or progression-based monetization in a role-playing game or Hero Collector A deep understanding of the Marvel intellectual property and its player community Please ensure that the résumé/CV you attach is written in English. For candidates in British Columbia, 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. British Columbia Annual Salary Range $75,000 — $109,800 CAD 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.

Задачи: — Строить и развивать аналитическое хранилище компании на базе BigQuery. — Настраивать конвейеры данных из продуктовых и маркетинговых источников (AppsFlyer, Adjust, RevenueCat, Amplitude, Mixpanel, Facebook Ads и др.). — Формировать данные в удобный для аналитиков и продуктовых менеджеров вид. — Документировать модель данных. — Внедрять лучшие практики работы с хранилищем: слоистая архитектура (raw / staging / marts), соглашения по наименованиям, версионирование, тесты качества данных. — Взаимодействовать с продуктом, маркетингом и аналитикой для понимания бизнес-требований и трансформации их в структуру данных. Требования: — Опыт работы в data engineering от 2 лет или сильная аналитическая роль с реальным инженерным компонентом (уровень solid junior / light middle). — Уверенное владение Python для написания ETL/ELT скриптов, работы с API и автоматизации конвейеров. — Опыт работы с GCP (BigQuery, Cloud Functions, Cloud Storage). — Уверенный уровень SQL: оконные функции, CTE, оптимизация запросов. — Понимание принципов аналитических хранилищ: слоистая архитектура, нормализация/денормализация, идемпотентность конвейеров, инкрементальные загрузки. — Опыт интеграции данных из внешних источников через API или готовые коннекторы. — Сильные коммуникативные навыки для общения с нетехническими стейкхолдерами, умение задавать уточняющие вопросы и объяснять технические ограничения простым языком. — Опыт работы с Git: ветвление, код-ревью. Желательно: — Опыт с типичными источниками подписочного/мобильного стека: AppsFlyer, Adjust, Adapty, Amplitude, Mixpanel. — Понимание специфики мобильной атрибуции: SKAdNetwork, постбеки, детерминистическая и вероятностная атрибуция. — Опыт работы с BI-инструментами (Looker Studio, Metabase, Tableau, Power BI) на уровне настройки источника и построения дашбордов. — Знания Terraform / IaC для ресурсов GCP. — Опыт с CDC / стримингом (Pub/Sub, Dataflow) — плюс, но не критично. Условия: — Гибридный формат работы: 2 дня в офисе в Варшаве, 3 дня удаленно. — Обеды оплачиваются в офисные дни. — Возможность участвовать в командных мероприятиях. — Гибкий график с фокусом на результат. — Работа в молодой команде с энергией стартапа, без бюрократии и микроменеджмента.

Location: United Kingdom, London Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Overview: We are seeking a Senior Director to lead our Enterprise Reporting and Analytics Engineering organization, a team of analytics engineers, report developers, visualization specialists, and people leaders. This organization focuses on the last mile of the enterprise data supply chain: the semantic models, curated data products, metric definitions, and consumption experiences that turn engineered data into decisions. This is not a traditional reporting leadership role; the classic notion of “reporting” in the form of a myriad of dashboards and filters is racing towards obsolescence. But the need for data and insights, and the need to deliver it in a way that is digestible and actionable, is timeless. Yes, governed dashboards and trusted reporting remain the foundation, and this leader must be excellent at that foundation. But the mandate is to move the organization decisively beyond static reporting toward a proactive, intelligent analytics capability: partnering with Data Science to productize and visualize their models, enabling generative AI and LLM-based access to our data, building exception-based systems that alert users when outcomes deviate from expectation in a statistically meaningful way, and designing agents that monitor data continuously and deliver insight without being asked. Analytics engineering shares much of its DNA with data engineering — modeling, transformation, testing, version control, CI/CD, performance and cost discipline — but is oriented toward business enablement rather than platform and pipeline. Success in this role therefore depends as much on partnership as on technical depth. This leader will work shoulder to shoulder with Data Engineering on the boundary between platform and consumption, with Product Management on roadmap and requirements, with Data Science on advanced analytic products, and with Analytics Operations on a disciplined intake and prioritization process that makes the best possible use of finite capacity. The ideal candidate has spent years building the traditional foundations — governance, metadata, lineage, dimensional modeling, engaging with enterprise BI platforms— and is now looking to apply that rigor to a fundamentally different generation of analytic products in new and innovative ways. What you'll be doing: Organizational Leadership Lead, coach, and develop an organization of approximately 30 people, including managing through frontline managers; own hiring, role clarity, career pathing, performance management, and succession planning. Define a multi-year vision and roadmap for enterprise reporting and analytics engineering, and translate it into quarterly outcomes the team and its partners can measure. Partner closely with Product Management to jointly shape the multi-year enterprise end-to-end data strategy. Own the organization's budget, vendor relationships, and contractor or offshore capacity. Establish and sustain an engineering culture within an analytics function: peer review, automated testing, documentation standards, source control, CI/CD, etc. Analytics Engineering and Data Architecture Drive maturity of the last-mile architecture in partnership with Data Engineering: curated marts, semantic layers, reusable data products, and certified datasets that serve reporting, ai enablement, data science, and downstream applications. Define and enforce dimensional modeling standards, transformation frameworks, and modular, tested, version-controlled analytics code. Own the enterprise metric layer so that key business measures carry a single, governed definition regardless of where they are consumed. Partner with Data Engineering to define clear contracts and handoffs between pipeline and platform work and last-mile modeling, including shared tooling, standards, and escalation paths. Manage query performance, warehouse consumption, and platform cost as first-class engineering concerns. Data Governance, Metadata, and Lineage Own cataloging, business glossary, data certification, and stewardship workflows, leveraging tools such as Atlan as the primary metadata platform. Maintain column-level lineage across the analytics estate to support impact analysis, change management, audit, and root-cause investigation. Leverage data access provisioning and entitlement models, including row- and column-level security, in partnership with Security, Privacy, and Compliance. Collaborate with Data Engineering to drive data quality monitoring, freshness and availability SLAs, observability, and incident response for analytic assets. Enterprise Reporting and Data Visualization Drive analytics engagement by leveraging enterprise visualization and provisioning platforms, including Domo and Tableau, in partnership with Data Engineering. Ensure best practices are followed in data architecture, governance, adoption, performance, and total cost management. Set visualization and information design standards that make reports readable, consistent, accessible, and decision-oriented. Rationalize the existing reporting portfolio: retire redundant and unused assets, consolidate overlapping content, drive down tech debt and drive consumption toward certified sources. Build a durable self-service capability through training, templates, community, office hours, and clear guardrails on what belongs in self-service versus centrally managed content. Advanced, Proactive, and AI-Enabled Analytics Partner with Data Science to productize their work: build the visualization, interaction, monitoring, and feedback loops that turn models and research into products the business actually uses. Partner with Product Management and Data Engineering to enable generative AI and LLM access to enterprise data. This includes preparing the semantic and metadata foundation that makes data legible to models, delivering conversational analytics, text-to-SQL, and retrieval-augmented experiences on governed sources, and establishing guardrails, evaluation, and accuracy monitoring so that answers can be trusted. Build exception-based analytics that detect when an outcome deviates from its expected value in a statistically significant way, using seasonality-aware baselines, forecast residuals, control limits, and anomaly detection rather than static thresholds. Route those exceptions to accountable owners with context, likely drivers, and a recommended next action; actively tune sensitivity and volume to prevent alert fatigue and preserve signal. Design and deploy analytic agents that proactively monitor data, investigate variances, assemble narrative explanations, and deliver insight into the tools where people already work. Shift the organization's consumption model from pull to push: the measure of success is not how many people opened a dashboard, but whether the right person was told the right thing at the right time. Cross-Functional Partnership, Intake, and Prioritization Operate as a true partner to Product Management: contribute to roadmap, requirements, user research, and release planning, and run analytics with a product mindset covering personas, adoption metrics, and asset lifecycle management. Partner with Analytics Operations to run a transparent intake, triage, sizing, and prioritization process, with published capacity, explicit tradeoffs, and reliable delivery commitments. Make capacity constraints visible to stakeholders and executives, drive reuse over one-off builds, and decline or defer work with evidence rather than friction. Serve as a senior, executive-facing partner to business functions, translating ambiguous business questions into well-scoped analytic solutions. What we're looking for: Bachelor's degree in Computer Science, Information Systems, Engineering, Statistics, Mathematics, Economics, or a related quantitative field; equivalent professional experience will be considered. 15+ years of progressive experience in data, analytics, or business intelligence, including 8+ years leading teams and 4+ years managing managers. Demonstrated experience leading an organization of 25 or more people in a large, matrixed enterprise. Strong hands-on foundation in SQL, dimensional modeling, and ELT/ETL design, with production experience on a modern cloud data warehouse or lakehouse (for example Snowflake, Databricks, BigQuery, Redshift, or Synapse) and a transformation framework such as dbt. Experience applying software engineering practices to analytics work, including Git-based workflows, automated testing, and CI/CD. Enterprise-scale leveraging of BI and data visualization platforms such as Domo, Tableau, Power BI, or Looker, including governance, provisioning, adoption, and cost management. Demonstrated ability to participate in driving data governance program covering catalog, lineage, glossary, stewardship, quality, and access, using platforms such as Atlan, Collibra, Alation, or Informatica. Proven track record of delivering jointly with Data Engineering and Product Management, with clear ownership boundaries and shared accountability. Direct experience partnering with Data Science, including operationalizing, visualizing, and monitoring model output for business consumption. Working command of the statistical concepts underlying exception detection, including hypothesis testing, confidence intervals, variance and control limits, seasonality, and forecasting. Experience running a formal intake, prioritization, and capacity planning process for a shared services or platform organization. Excellent executive communication and influence skills, with the ability to operate effectively amid ambiguity and competing priorities. Experience managing budget, vendor contracts, and platform licensing. Preferred Skills: Master's degree or MBA in a related field. Production experience delivering LLM-based analytics: retrieval-augmented generation over governed data, text-to-SQL or conversational BI, semantic layers designed for model consumption, and prompt, evaluation, and cost monitoring frameworks. Experience designing agentic workflows and orchestration for monitoring, investigation, and notification use cases. Hands-on experience with Atlan, Domo, and Tableau specifically. Proficiency in Python or R for prototyping, and familiarity with common statistical and ML libraries and MLOps concepts. Experience deploying anomaly detection at scale, including alert routing, suppression, and fatigue management. Familiarity with data product and data mesh operating models, domain-aligned ownership, and data contracts. Experience operating in an Agile or product operating model at scale, including portfolio, OKR, and roadmap management. Deep experience with the “Silicon Valley” school of Product Management, as exemplified by the “Marty Kagan”-style academic approach a significant plus. Experience leading global or matrixed teams, including offshore or vendor-partnered delivery models. Track record leading a major platform migration, consolidation, or reporting rationalization effort. Demonstrated success attracting, developing, and retaining senior technical talent in a competitive market. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: 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 Locations Austin, US New York, US San Francisco, US About the Role Cloudflare is looking for a Strategy Manager to join the Developer GTM Strategy & Incubation team, focused on Technical Programs. This person will help Solutions Architects, Forward Deployed Engineers, Professional Services, and Developer GTM leadership identify the right customer opportunities, organize technical GTM work, and turn high-value customer engagement into repeatable programs and operating rhythms. The Developer GTM Strategy & Incubation function exists to evolve the way the Developer GTM team works, designing systems, processes, and GTM motions that accelerate consumption at Cloudflare. This role is focused on the technical side of that motion: where we should spend time, how we coordinate technical resources, how we run customer-facing programs, and how we measure whether technical work is driving the right business outcomes. The right person is a high-agency operator with strong technical fluency. They do not need to be a Solutions Architect, but they should be comfortable working with technical products, customer architectures, implementation workflows, developer platforms, and customer-facing technical teams. Responsibilities Build and scale technical programs: Design proactive programs for Solutions Architects, Forward Deployed Engineers, and related technical GTM teams. Turn ad hoc motions into repeatable playbooks, operating rhythms, and ownership models where it makes sense. Coordinate strategic customer engagement: Project manage high-priority customer initiatives that require technical GTM support. Clarify goals, stakeholders, timelines, resourcing, risks, success criteria, and follow-up. Plan and scale technical onsite visits: Build the planning model for strategic customer onsites, including intake, agenda design, staffing, prep, execution, post-onsite follow-up, and measurement. Improve prioritization and visibility: Own a clear view of active technical engagements, upcoming opportunities, blockers, outcomes, and resourcing needs. Partner with Revenue Engineering, Data, Sales Strategy, and technical leaders on account propensity, engagement tracking, dashboards, and operating reviews. Support Professional Services packaging and commercialization: Partner with Professional Services, Finance, Product, Sales Strategy, and GTM leaders on pricing, packaging, business cases, rollout plans, and feedback loops for technical services offerings. Incubate and launch new technical programs: Lead high-priority projects across Developer GTM, support team planning and process improvements, turn technical activity into clear business narratives, and incubate new motions until they are measurable and ready for durable ownership. Examples of projects this person may own Build a proactive SA/FDE engagement program for a priority customer segment or product motion. Partner on an account propensity model that helps determine SA/FDE prioritization, resourcing, and account coverage. Stand up a technical engagement tracker for active customer work, resourcing, blockers, and outcomes. Design the planning and follow-up model for technical onsite visits with strategic customers. Partner with Professional Services to package a repeatable services motion and build the business case for rollout. What Success Looks Like Solutions Architects and FDEs have a clearer operating model for proactive programs and strategic customer engagements. Leadership has a reliable view of technical revenue pipeline, engagement health, account propensity, and investment ROI. Strategic customer initiatives and technical onsite visits move faster because goals, staffing, owners, success criteria, and follow-up are clear. Professional Services offerings are easier to understand, price, package, and align to Cloudflare's broader consumption-led strategy. New technical GTM motions move from ambiguous ideas to measurable programs with durable owners. Desirable Skills, Knowledge, and Experience At Cloudflare, we know that great candidates come from diverse backgrounds with non-linear paths. You don’t need to tick every single box to be right for this role. If you are excited about building a better Internet and ready to make an impact, please apply. 6+ years of experience in GTM strategy, business operations, revenue operations, technical program management, solutions strategy, consulting, or a similar cross-functional execution role. Experience working with technical customer-facing teams such as Solutions Architects, Sales Engineers, Forward Deployed Engineers, Professional Services, Customer Engineering, Developer Relations, or Product. Strong technical fluency, including the ability to understand customer architecture discussions, implementation tradeoffs, developer platform concepts, and the operating needs of technical GTM teams. Strong program management ability, including managing complex work streams, driving accountability without direct authority, and keeping teams aligned under pressure. Strong sense of ownership; someone who takes initiative, works independently, and manages time effectively. Excellent cross-functional communication skills and the ability to influence and align stakeholders at all levels. Highly customer-centric, with natural curiosity about technical products and a strategic mindset for solving complex problems. Comfortable working under pressure and adjusting priorities to meet deadlines in a fast-moving environment. Strong analytical skills, including comfort using spreadsheets, CRM data, and business dashboards to prioritize work and inform decisions. Prior experience with Salesforce CRM, Tableau, BigQuery, or BoostUp is a plus. Background in SaaS or Product-Led Growth (PLG) is a strong plus. Compensation Compensation may be adjusted depending on work location. For Bay Area based hires: Estimated annual salary of $161,000 - $221,000 For NYC based hires: Estimated annual salary of $153,000 - $210,000 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: Brownsville, WI Corporate Office  ; Green Bay, WI  ; Madison, WI  ; Milwaukee, WI  ; Neenah, WI Improving America’s infrastructure isn’t for the weak. It takes grit, determination, and hard work to execute high impact projects. Michels Corporation engages 10,000 people and 18,000 pieces of heavy equipment in our insatiable drive to be the best. Our work improves lives. Find out how a career as a Senior Data Engineer can change yours. The Senior Data Engineer builds the trusted data foundation that powers analytics, reporting, operational insight, and AI across the Michels Family of Companies. As a senior individual contributor on the Enterprise Intelligence team, this person builds and operates lakehouse pipelines and reusable data products and helps shape the engineering standards that turn raw source data into valuable, durable enterprise assets. This is a hands-on role that owns complex work from design through production support and helps a lean team scale through patterns, automation, and observability. This role mentors engineers and provides technical leadership within delivery work. This role reports to the IT Manager, Data Platform & Engineering and is a member of the Information Technology organization. Key Responsibilities: Build and maintain batch, streaming, and event-driven ingestion pipelines that reliably connect enterprise source systems to the lakehouse. Develop transformation logic and orchestrated workflows that turn raw source data into usable, governed datasets. Design and optimize data assets that support analytics, operational reporting, downstream applications, and AI-ready consumption. Instrument pipelines and data products with validation checks, monitoring, and alerting so data and pipeline issues are detected and resolved quickly. Tune pipeline, storage, and compute workloads for performance, scalability, and cost efficiency. Establish engineering standards and reference architectures that allow a lean team to scale responsibly. Lead technical design reviews and mentor engineers through pairing, code review, and technical guidance. Qualifications: Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field, or equivalent hands-on experience. 5+ years of production experience in data engineering, data platform engineering, analytics engineering, software engineering, or a related discipline. Proven experience building and operating large-scale cloud data platforms such as Databricks, Snowflake, Microsoft Fabric, or BigQuery. Proficiency with SQL, Python, Spark or similar distributed processing frameworks, and modern engineering practices including version control, automated testing, CI/CD, and streaming ingestion. Experience building reliable, observable pipelines with monitoring, lineage, and data quality controls that operate within enterprise governance, privacy, and security requirements. AA/EOE/M/W/Vet/Disability https://www.michels.us/website-user-privacy-policy/

Location: SF or Remote (US/Canada) At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE We're looking for a Senior/Staff Data Scientist to join our growing Data team and serve as a strategic analytics partner across Render. As we scale, we're tackling increasingly complex questions across our product, customers, and business, from how developers discover and adopt Render, to what drives engagement and retention, to how we prioritize investments and identify new opportunities for growth. You'll partner with leaders and teams across Product, Growth, Go-to-Market, Finance, and other functions, focusing on some combination of data analytics, analytics engineering, machine learning, and experimentation based on your strengths, interests, and Render's highest-priority needs. You'll turn ambiguous questions into rigorous analysis, define how we measure success, and translate complex data into decisions and action. As a Senior/Staff-level individual contributor, you'll also help set the standard for analytics at Render, shaping our measurement frameworks, analytical practices, and how teams across the company use data to make better decisions. WHAT YOU’LL DO - Serve as a strategic analytics partner. Work closely with leaders and cross-functional partners across Product, Engineering, Growth, Go-to-Market, Finance, and other teams to identify high-impact questions, frame decisions, and determine how success should be measured. - Define meaningful metrics and measurement frameworks. Develop the KPIs and frameworks teams use to understand performance across areas such as acquisition, activation, adoption, engagement, retention, conversion, expansion, and customer outcomes. - Turn data into strategy. Surface patterns across our users, customers, products, and business. Identify opportunities, diagnose friction, and help teams determine where to invest and what to prioritize. - Shape our approach to experimentation and evaluation. Design and analyze experiments where appropriate, develop guardrail metrics and other methods for evaluating initiatives, and help teams choose the right analytical approach for the decision at hand. - Build measurement into how we work. Partner with teams to define instrumentation and measurement plans early, ensuring new products, programs, and initiatives can be evaluated reliably after launch. - Build trusted analytical foundations. Build and maintain dbt models, semantic and context layers in partnership with Analytics Engineering, transforming behavioral and business data into reliable datasets that support decision-making across Render. - Raise the bar for analytics. Establish analytical best practices, improve how teams use data in decision-making, and mentor scientists and cross-functional partners on measurement, experimentation, and data literacy. - Help shape the future of analytics at Render. Explore how AI-assisted tools can make analytics faster and more accessible while maintaining a high bar for accuracy, context, and analytical judgment. WHAT WE’RE LOOKING FOR - 7+ years of analytics experience, with a track record of shaping strategy and influencing decisions across complex or ambiguous problem spaces. - Strong business and product judgment. You can take an ambiguous question, identify what really needs to be understood, and determine the right analytical approach to inform a decision. - Experience defining and using metrics across some combination of Product, Growth, Go-to-Market, Finance, or other business domains, for example acquisition, activation, adoption, engagement, retention, conversion, expansion, or revenue. - Strong SQL skills. Writing complex, efficient SQL and independently exploring large datasets is a core part of how you work. - Experience using experimentation, statistical analysis, or other rigorous evaluation methods to understand impact, along with judgment about when each approach is appropriate. - Experience with modern analytics tooling such as Metabase, Mixpanel, dbt, BigQuery, Segment, and Git. - A track record of influencing cross-functional teams and senior leaders without direct authority. You're comfortable challenging assumptions, creating clarity from ambiguity, and driving alignment around what the data says. - Excellent communication skills. You can turn complex analysis into a clear narrative, explain technical concepts to non-technical audiences, and build the relationships necessary to drive action. - Experience using AI-assisted coding or analytics tools such as Codex, Cursor, or Claude Code to accelerate analysis, data modeling, instrumentation, or visualization. NICE-TO-HAVES - Expertise in statistical methods beyond traditional A/B testing, such as causal inference, cohort and survival analysis, or time-series analysis. - Experience with developer-focused, product-led, sales-led, or usage-based businesses. - Knowledge of cloud infrastructure, PaaS, developer tooling, or other technically complex products. - Experience analyzing multi-product or multi-segment businesses and understanding behavior across interconnected customer journeys. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Japan Workplace: Remote ClickHouse is the open-source, real-time analytical database behind a lot of today's AI. More than 4,000 companies build on ClickHouse, including Anthropic, OpenAI, Tesla and Meta. As a TAM Architect, you're the named technical lead for a small group of our largest customers. You carry the context of how they run ClickHouse, guide them from their first design decisions through production and growth, and make sure the rest of ClickHouse shows up for them when it matters. Your job is to keep them healthy, help them get more out of ClickHouse, and spot the next use case. You'll work inside our Support organisation and own escalations for your accounts, working closely with our support engineers. The role is based in Japan, close to our customers in Tokyo. Large enterprises are moving onto ClickHouse fast, and we're building out how we look after them. People joining now have a real say in how this role works.   WHAT YOU'LL DO - Run a regular cadence with 4 to 8 strategic accounts (weekly, fortnightly or monthly, depending on the project), plus quarterly health checks and business reviews, on site where it helps - Lead onboarding, where the decisions that are hardest to reverse get made: schema and data modelling, table engines, ingestion, migration and query design - Once customers are live, keep performance and cost on track as they grow, and help them onto new use cases - Work closely with Support: own escalations for your accounts, with regular case reviews and a direct line into L3 engineering - Work with the right people for each piece of work: partner with Solutions Architects on new use cases and proof of concepts, and bring in Consulting Engineers for hands-on projects - Write it down: documented setup and configuration, knowledge base articles and reference architectures that help other customers too WHAT YOU'LL BRING - 5+ years in a hands-on, customer-facing technical role after the sale, whether your title was TAM, solutions architect, professional services, senior support or something else - Specialist depth in data modelling, query performance and integration on distributed or analytical databases - Hands-on SQL. You regularly write complex queries from scratch, and tune and debug them yourself - Experience owning a small book of high-touch enterprise accounts, where you know each customer's architecture in depth - Hands-on cloud experience (AWS, GCP and/or Azure) - You've run distributed systems, such as distributed databases, in production - You explain technical trade-offs clearly, to engineers and to executives - Fluent English and Japanese NICE TO HAVE - Experience with ClickHouse, or with other analytical databases such as Snowflake, BigQuery, Redshift or Druid - Involvement in open source, as a user, contributor or community member - A working knowledge of Kubernetes GOOD TO KNOW - You'll be based in Japan. Travel to customer sites is part of the job, up to 35% of your time, mostly to customers in Tokyo - You'll join our APJ Support Services team, alongside Support Engineers and Consulting Engineers - You'll be part of the on-call rota, about one week a quarter, with time off in lieu if you're paged at a weekend HOW WE HIRE - A 30-minute call with our recruiter - A conversation with the hiring manager - A take-home exercise, designed to take four to five hours, with three working days to complete it - A 90-minute technical interview with the team: you'll walk us through your take-home, then join a working session where you write and tune SQL live - An in-person meeting with our local head of solutions architecture - A final conversation with our VP of Support Services - References, then an offer The working session is without AI tools, so make sure you're comfortable writing queries from scratch. Download open-source ClickHouse and practise: it's free, easy to install, and great preparation. 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: SF or Remote (US/Canada) At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE We're looking for a Senior/Staff Analytics Engineer to join our growing Data team and lead the evolution of our Analytics Engineering platform. As Render scales, you'll build the foundations that turn raw data into trusted, reusable models for analytics, executive reporting, and AI-assisted decision-making. In this role, you'll partner closely with analysts, scientists, data engineers, and teams across Product, Engineering, Growth, Go-to-Market, Finance, and other business functions. Analysts and scientists will bring domain expertise and own business logic within their areas; you'll own the technical architecture, modeling standards, and engineering practices that help that work scale reliably. As a Senior/Staff-level individual contributor, you'll set the technical direction for Analytics Engineering at Render—strengthening data quality, improving the developer experience, and building semantic and context layers that make data easier to discover and use. You'll help teams move faster with consistent metrics and maintainable models they can trust. WHAT YOU'LL DO - Own our Analytics Engineering architecture. Guide the long-term evolution of Render’s Analytics Engineering platform, strengthening foundational models so our data remains trusted, scalable, and ready for AI-assisted analytics. - Build trusted, reusable data models. Design, build, and maintain governed dbt models that serve as authoritative sources for business-critical metrics across Product, Engineering, Growth, Go-to-Market, Finance, and other teams. - Establish engineering standards. Define and improve practices for data modeling, testing, documentation, version control, CI/CD, and code review. Review high-impact dbt changes and reduce technical debt across the analytics codebase. - Enable self-service and AI-assisted analytics. Design and maintain semantic and context layers that make metrics consistent, data discoverable, and analysis reliable for both people and AI tools. - Partner closely with analysts and scientists. Help analysts and scientists translate domain-specific business logic into scalable, maintainable warehouse models, moving shared logic out of individual reports and dashboards and into governed datasets. - Improve reliability and efficiency. Partner with Data Engineering to strengthen source data quality, warehouse architecture, and BigQuery performance and cost efficiency. - Raise the bar for Analytics Engineering. Mentor analysts, scientists, and analytics engineers on dbt development, dimensional modeling, and engineering best practices, and help teams adopt shared standards. WHAT WE'RE LOOKING FOR - 7+ years of experience in Analytics Engineering, Data Engineering, or a related technical field, including at least 3 years of hands-on experience running dbt in production. - Expert-level SQL skills and a track record of designing and owning scalable Kimball dimensional models. - Deep expertise in modern Analytics Engineering practices, including Git, testing, CI/CD, documentation, data contracts, lineage, and governance. - Experience building semantic and context layers, trusted metrics, and warehouse architectures that support self-service analytics for humans and AI agents across multiple business domains. - Strong understanding of modern cloud data warehouse architecture, performance optimization, and cost efficiency, with experience in platforms such as BigQuery, Databricks, or Snowflake. - A track record of establishing technical standards, influencing engineering practices without formal authority, and improving reliability while reducing technical debt. - Proven ability to partner closely with analysts, scientists, and business stakeholders to translate requirements into scalable, maintainable data models. - Excellent communication skills. You can explain complex technical concepts and tradeoffs to technical and non-technical audiences and build alignment across teams. - Experience building data models that connect product usage, acquisition, CRM, and financial data across the customer lifecycle. - Experience using AI-assisted coding or analytics tools such as Codex, Cursor, or Claude Code to accelerate data modeling, testing, documentation, or exploration. NICE-TO-HAVES - Hands-on experience with Render’s analytics stack, including BigQuery, Segment, dbt, and analytics tools such as Metabase or Mixpanel. - Experience with developer-focused, product-led, sales-led, or usage-based businesses. - Knowledge of cloud infrastructure, PaaS, developer tooling, or other technically complex products. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Требования: — От 4 лет опыта на позиции Data Analyst / Marketing Data Analyst. — От 2 лет опыта в рекламной сфере. — Python или R — от 2 лет. — Уверенное знание SQL (BigQuery). — Опыт работы с API, ETL и Docker. — Знание облачных сервисов (Cloud Run, Workflows, Artifact Registry). — Опыт работы с Looker. — Опыт сбора данных из AppsFlyer, Adjust или Voluum. — Сильные аналитические навыки, самостоятельность и ответственность. — Умение понятно презентовать технические выводы нетехническим специалистам. Задачи: — Участие в построении аналитических процессов. — Получение данных через API и создание удобных дашбордов. — Мониторинг эффективности рекламных кампаний. — Поиск точек роста и возможностей масштабирования продуктов. — Анализ LTV пользователей и факторов, которые на него влияют. — Глубокий анализ и оптимизация воронок продаж. — Поиск возможностей для увеличения выручки. Условия: — Удаленный формат взаимодействия. — График: с 10:00 до 19:00 по времени Кипра. — 20 дней отпуска и оплачиваемые больничные. — Работа по праздничному календарю Кипра. — Испытательный срок - 3 месяца. — Зарплата по договоренности, в зависимости от уровня и опыта.

Задачи: — Руководство и развитие команды старших инженеров и технических лидов в областях GTM Store и ZoomInfo Data Platform. — Определение дорожной карты развития систем, балансировка между масштабированием, производительностью, скоростью интеграции новых данных, соблюдением требований безопасности и надежности платформы. — Формирование культуры высокой производительности, ответственности, технической строгости и операционного совершенства. — Управление старшими техническими специалистами, установка ожиданий, предоставление технических рекомендаций и развитие карьерных путей. — Взаимодействие с вице-президентом по инженерии для формирования стратегии платформы. — Приоритизация задач между масштабированием, интеграцией новых данных, соблюдением нормативных требований и надежностью. — В области GTM Store: стратегия, архитектура и развитие основного операционного хранилища данных (BigTable), включая масштабирование, производительность, надежность и системы захвата изменений данных (CDC). — Руководство архитектурными решениями для улучшения производительности, задержек и экономической эффективности. — Внедрение лучших практик мониторинга, оповещений, планирования емкости и реагирования на инциденты. — Стратегия и архитектура CDC, обеспечение надежной передачи событий изменений данных в downstream-системы. — В области ZoomInfo Data Platform: стратегия, архитектура и развитие аналитического хранилища данных (BigQuery), включая конвейеры загрузки данных и системы интеграции новых источников. — Упрощение и ускорение интеграции новых данных, стандартизация и автоматизация процессов загрузки. — Обеспечение надежности, наблюдаемости и масштабируемости конвейеров данных. — Управление процессами удаления данных клиентов в соответствии с GDPR, CCPA и другими нормативами. — Взаимодействие с юридическим отделом и продуктовой командой для адаптации процессов удаления данных. — Создание систем наблюдаемости и аудита для подтверждения соответствия требованиям. — Взаимодействие с кросс-функциональными командами для определения требований и поддержки внедрения новых данных. — Представление интересов GTM Store и ZoomInfo Data Platform в стратегических обсуждениях. Требования: — Опыт работы в области программной или платформенной инженерии не менее 8 лет, включая опыт на руководящих позициях. — Опыт управления старшими техническими специалистами и поддержания высокого технического уровня. — Глубокие знания масштабируемых операционных (BigTable) и аналитических (BigQuery) хранилищ данных и распределенных систем. — Опыт архитектуры конвейеров загрузки данных и технологий CDC (Debezium, Kafka Connect, Kafka или аналогичные). — Знание практик обеспечения конфиденциальности данных и соблюдения нормативных требований (GDPR, CCPA). — Умение балансировать между надежностью платформы и скоростью внедрения новых функций. — Навыки кросс-функционального взаимодействия с продуктовой и бизнес-командами. — Отличные коммуникативные навыки для презентации стратегии и прогресса руководству. Предпочтительно: — Знакомство с инфраструктурой Google Cloud Platform, включая BigTable и BigQuery. — Опыт работы с платформами потоковой передачи событий (Kafka) и инструментами оркестрации конвейеров (Airflow). — Опыт создания инструментов самообслуживания для ускорения интеграции данных. Условия: — Удаленная работа. — Конкурентная годовая зарплата от $191,730 до $301,290. — Дополнительные бонусы, комиссии, акции и другие льготы. — Комплексные программы поддержки здоровья и благополучия. Компания ZoomInfo предоставляет равные возможности для всех кандидатов без дискриминации по любым признакам, защищенным законом.

Location: Remote | Worldwide We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, we may help to find the right ones. Currently, we are looking for a Marketing & Data Analyst for RNK Health to own marketing and product analytics, reporting, and tracking across their acquisition channels. Type: Full time Location: Remote Working hours: 14:00-22:00 EEST (Kyiv time)     ABOUT RNK HEALTH RNK Health is a fast growing telehealth brand. We help people get treatments like NAD+, sermorelin, tirzepatide, semaglutide, and B12 — prescribed by licensed providers and shipped to their door. We run our own ads, funnels, creative, email/SMS, affiliates, and analytics. What this job is You own marketing and product analytics, tracking, and reporting across the business. This is a hands-on role. You will analyze acquisition, product, and retention performance, maintain tracking systems, investigate data issues, and provide clear insights for business and marketing decisions. You should understand both marketing and the technical side of analytics, from CAC, LTV, funnels, and attribution to GTM, pixels, and server-side tracking. WHAT YOU WILL OWN Marketing, product & retention analytics Analyze performance across the full customer journey, from acquisition and funnel conversion to subscription performance, retention, and LTV. Track CAC, ROAS, CR, cohorts, rebills, cancellations, refunds, churn, and customer lifetime value. Identify trends, performance changes, and opportunities for improvement, and turn the data into clear reports and actionable insights for marketing, product, and business decisions. Funnels and A/B testing Analyze user behavior and acquisition funnels, identify conversion opportunities, and evaluate A/B tests across landing pages, pricing, and customer journeys. Attribution Understand how attribution works across Meta, Google, internal data, and other acquisition platforms. Identify and reduce discrepancies between data sources and make sure the business is using the right data for reporting and decision-making. Tracking Set up, maintain, and troubleshoot tracking through GTM, including Meta and Google pixels, Conversion APIs, client-side and server-side events, deduplication, and marketing platform integrations. Data accuracy Ensure data accuracy and consistency across reporting systems and proactively identify discrepancies before they impact business decisions. WHO WE ARE LOOKING FOR - 3+ years of experience in marketing, product, or data analytics - Strong experience with Mixpanel, GA4, or similar analytics platforms, including funnels, events, user behavior, and conversion analysis - Strong Google Tag Manager (GTM) experience, including event setup, debugging, and web and server-side tracking - Hands-on experience with Meta and Google pixels, Conversion APIs, and other marketing platform integrations - Strong understanding of attribution across marketing platforms and internal data - Strong understanding of CAC, ROAS, CR, LTV, retention, churn, cohorts, and subscription performance - Hands-on experience with BigQuery, GCP, and large marketing/customer datasets - Strong SQL and Google Sheets / Excel skills - Strong attention to detail and ability to independently identify and resolve data and tracking issues - Ability to turn complex data into clear, actionable insights for business and marketing teams NICE TO HAVE - Experience in telehealth, healthcare, or another subscription health business - Understanding of healthcare marketing and data compliance - Tableau and/or Looker Studio - TikTok, Snapchat, or other paid media platform tracking experience - Affiliate tracking / Everflow experience Ready to join the team? Please submit your CV. We’ll review your application within five working days, and if your background matches what we’re looking for, we’ll get in touch to set up a call and get to know each other better.

Задачи: — Превращать данные в более умные продуктовые решения на международных цифровых проектах. Требования: — 3–5 лет опыта в аналитике данных, продукта, веба или приложений. — Отличное знание SQL. — Опыт работы с Google Analytics 4 и веб/мобильным трекингом. — Знание ETL процессов и построения дата пайплайнов. — Владение Power BI, Tableau, Looker Studio, Qlik или SAP BusinessObjects. — Знания в области статистики, экспериментов и A/B тестирования. — Английский язык на уровне B2 и выше. Будет плюсом: — Опыт работы с BigQuery. — Опыт серверного трекинга. — Опыт в e-commerce. Условия: — Работа в международной команде. — Гибридный формат работы в Ташкенте. — Полная занятость. — Зарплата от 2500 USD net в месяц.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The Reddit Consumer Engineering organization builds and scales the products that Redditors use directly to discover content, participate in communities, and connect with others. Sitting at the intersection of large-scale distributed systems and core user journeys, Product Backend Engineers in Consumer Engineering partner directly with Product Managers, Designers, Data Scientists, ML Engineers, and Frontend Engineers to build, experiment with, and scale features that power how hundreds of millions of users discover, join, navigate, and engage with Reddit. This centralized role hires across several high-impact consumer teams, including: Core Product & Feeds: Home Experience, Recommendations & Content Discovery, Content Contribution Community & Presence: Reddit Pro, Youth Experience & Teen Safety, Creator Tools Growth & Engagement: Authentication, Notifications, Social Sharing, SEO, Onboarding. Monetization & Conversion: Paid User Acquisition, Conversion Funnel Optimization Identity & Security: Account Management, Trust & Safety What You’ll Do Cross-Functional Product Architecture: Partner closely with Product Management, Product Design, Data Science, and Client Engineers (iOS/Android/Web) to translate business and user needs into reliable, low-latency technical solutions. End-to-End Delivery: Own the full software lifecycle for major product initiatives from technical design docs and API contracts to development, testing, rollout, and observability. Metrics & Experimentation-Led Engineering: Design, build, and evaluate A/B experiments. Work with tools like BigQuery, HEX, or Firebase to analyze user behavior, conversion funnels, and retention loops to make data-backed engineering decisions. API & System Performance: Build and maintain scalable APIs (GraphQL, REST, gRPC) and distributed backend services optimized for client consumption and consumer UI performance. Technical Rigor & Modern Tooling: Establish engineering best practices, improve developer workflows, mentor teammates, and use modern, AI-integrated tools to ship high-quality products efficiently. Who You Are User-Centric Mindset: An advocate for the user with an intuitive feel for product usability, interaction design, social dynamics, and user growth loops. You care deeply about why a feature is being built and its impact on the end user. Data-Informed & Hypothesis-Driven: Comfortable working alongside Data Scientists and PMs to design experiments, establish core performance metrics, and iterate quickly based on real-time feedback. Technical Rigor at Scale: 5+ years of hands-on backend development experience building and operating large-scale distributed serving systems in high-concurrency environments. Bias for Action: Self-directed, innovative, and comfortable navigating ambiguity in fast-paced product environments where balancing velocity with system reliability is essential. Collaborative Communicator: Outstanding communication skills with a track record of driving cross-functional alignment in fully remote or hybrid team environments. Technical Qualifications Languages: Proficiency in modern backend languages such as Go or Python (or Java, Kotlin, Rust, C++). API Design: Expertise in designing and maintaining scalable, maintainable APIs using GraphQL , REST , or gRPC for native mobile and web applications. Data & Caching: Experience with high-throughput caching layers and distributed datastores (e.g., Redis , Cassandra , PostgreSQL ). Modern Workflows: Experience or interest in using AI-assisted engineering tools to accelerate development workflows. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $190,000 — $267,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.