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Location: Intellias Meet your recruiter Daniela Riabova daniela.riabova@intellias.com https://www.linkedin.com... Vacancy details AI/ML Engineering GenAI Engineer Senior Poland Remote APPLY NOW REFER A FRIEND A leading German distributor of building materials, the company serves construction professionals and private customers through an extensive network of branches and showrooms. It offers a comprehensive range of products and services for residential construction and renovation, providing a convenient one-stop shop for its customers. What project we have for you For an innovative AI project in the retail sector, we are seeking an experienced AI Engineer (m/f/d) to support the development and implementation of an AI-powered pricing model. The aim of the project is to link internal and external data sources and, using machine learning and neural networks, generate dynamic, AI-based price recommendations for individual items. This is intended to optimise pricing decisions and unlock additional margin potential. The technological foundation is a prototype that has already been successfully developed and implemented by international colleagues in collaboration with Microsoft. The existing solution is to be transferred to the company’s own data environment, adapted and further developed. The data model, as well as existing Python code and notebooks within Azure Databricks, are already in place. Working alongside the in-house data science team, you will be responsible for developing, training and validating a proprietary AI model based on these resources. As the project progresses, the solution will be integrated with the ERP system to provide automated price and terms suggestions for operational staff. What you will do • Further development and customisation of an existing AI pricing prototype based on Azure Databricks • Analysis and processing of internal and external data sources • Development and implementation of neural networks and machine learning models • Development, training and validation of proprietary AI models • Implementation and optimisation of AI models using Python • Use and processing of Large Language Models (LLMs) and prompt engineering • Porting existing models to the company’s own data and system landscape • Collaboration with the internal data science team and international project stakeholders • Supporting the integration of the developed solution into the existing ERP system What you need for this At least 2–3 years’ practical project experience in AI engineering or similar AI projects • Very good knowledge of Azure Databricks • Very good knowledge of Python • Substantial experience in machine learning and deep learning • Practical experience in the development, training and validation of neural networks • Experience working with Large Language Models (LLMs) and prompt engineering • Experience in the development and implementation of AI models in real-world business environments • Ability to translate business requirements into technical models and solutions • An independent and structured approach to work, as well as good communication skills • knowledge of German required (B1/B2) • Occasional on-site attendance in Dortmund (approx. 2–3 appointments per quarter) Nice-to-have: • Experience in the retail sector • Experience with pricing models and predictive analytics • Experience integrating AI solutions into ERP systems What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Location: Islamabad Capital Territory, Pakistan Senior Pricing & Cost Analyst Finance · [Full-time] · Remote (Islamabad, PK) · Hours 6pm - 2am PKT About Nysonian Nysonian builds the next generation of global lifestyle brands, shaping how people travel, move, and live. We go beyond creating great products to build experiences that elevate everyday life and empower people around the world. Our Fast-Growing Portfolio Includes: NOBL Travel — redefining modern travel with design, durability, and performance FLO Pilates — bringing Pilates into homes and wardrobes globally Core Values: Winners’ Mindset | Speed with Purpose | Thoughtful Innovation | Genuineness | No Ego, Full Ownership The Opportunity The Senior Pricing & Cost Analyst at Nysonian Inc. is responsible for driving cost optimization, enforcing disciplined expense controls, and sharpening how we price across the organization. This role goes beyond traditional finance functions, focusing on real-time oversight, policy compliance, and identifying opportunities for efficiency and margin that directly impact profitability. Partnering closely with business units, procurement, and operations, the Analyst analyzes spending and pricing patterns, ensures accountability, and implements actionable strategies to deliver sustainable cost savings and stronger margins. You will be the analyst who knows, at SKU, channel and region level, what we earn on every order, where margin leaks, and where operating spend, direct and indirect, is not earning its keep. Your analysis will drive real decisions within days. What You'll Own Analyze pricing, discounts, and promotional performance across products, channels, and regions, assessing their impact on margins, conversion, revenue, and sales volume. Model price elasticity, pricing changes, bundles, and promotions, and evaluate ROI against contribution margins and competitor pricing. Monitor and analyze direct and indirect operating expenses, identifying cost drivers, spending trends, inefficiencies, and opportunities for cost optimization while enforcing corporate expense policies and escalating exceptions. Conduct detailed expense audits to identify savings opportunities, including duplicate vendors, unused SaaS subscriptions, off-contract spending, unfavorable renewals, vendor rate increases, and unnecessary expenditure. Lead vendor management and commercial negotiations independently, partnering with Procurement and Operations to improve vendor accountability, spending transparency, contract compliance, and cost efficiency. Build and maintain comprehensive revenue, margin, discount, and expenditure reporting through executive-ready dashboards and reports that support leadership decision-making. Conduct trend, variance, and profitability analyses across revenue, spend, discounts, margins, and volume, translating findings into actionable commercial recommendations. Automate manual reporting through repeatable queries, financial models, and dashboards while maintaining consistent data definitions and accuracy across gross/net revenue, returns, discounts, and fees. Partner cross-functionally to drive cost optimization, strengthen financial controls, and improve expense management processes, independently building analytical models and presenting actionable insights to senior leadership. Skills & Qualifications Bachelor’s degree in Finance, Economics, Statistics, Accounting, or a related field (Master’s or professional certification is a plus). 4–7 years in expense management, cost analysis, FP&A, or pricing / revenue analytics. Experience on both sides of margin is what we value most. Hands-on expense or spend analysis, including indirect spend, vendor and subscription review, and policy compliance. Hands-on pricing, margin or promotion analysis, ideally in DTC / e-commerce. Advanced Excel / Google Sheets and strong SQL, plus experience with ERP systems and a BI tool (Looker, Tableau or Power BI). Working knowledge of statistics: regression, significance testing, elasticity. Excellent spoken and written English. You can write a clear executive summary and hold a confident conversation with senior leaders and external stakeholders. Proven experience communicating with stakeholders and influencing them, including leadership, department heads and cross-functional teams. Preferred experience/ knowledge of Python or R; experience with Shopify, ERP or subscription data; familiarity with ad-spend and logistics cost data. Why You'll Love Working at Nysonian Culture We're founder-led and operate with speed, direct communication, and clear accountability We invest in tools and management practices that help colleagues do their best work Our products are used by customers globally AI is intentionally embedded in how we work, create, and scale Senior leaders are expected to create structure, make decisions, and stay close to execution Growth & Development Competitive pay and meaningful opportunities for performance-based advancement Ownership of strategy, systems, execution, and team buildout within your function Opportunity to build and scale a meaningful part of the business across two consumer brands Scope and compensation growth tied to performance, role expansion, and measurable business impact We are proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, sex, religion, gender, marital status, national origin, genetics, disability, age, veteran status or other characteristics.

Задачи: — Организация и проведение экспресс-оценки проектов в сфере e-commerce или digital; — Декомпозиция проекта на этапы, согласование с командой; — Оценка и управление ресурсами команд разработки; — Координация работы команды, управление проектной нагрузкой, приоритетами и порядком выполнения задач; — Управление изменениями в проектах; — Формирование и согласование отчетов по проектам; — Подготовка презентаций по проектам; — Ведение документации по проектам; — Предложение идей по улучшению проектов; — Подготовка планов релизов, согласование с командами проектов; — Контроль релиза, организация оперативного решения возникших проблем. Требования: — Опыт управления проектами от 2 лет; — Уверенное знание методологий управления проектами и навыки их применения; — Опыт работы с системами поддержки управления проектами: Jira, MS Project; — Умение вести команду и создавать качественные коммуникации; — Умение координировать проектные процессы и выстраивать их; — Способность быстро и эффективно взаимодействовать с разными проектами и продуктами; — Будет плюсом: наличие сертификатов PMI/IPMA, опыт работы со Scrum командами. Условия: — Работа в крупной международной компании; — Официальное оформление по ТК РФ; — Полностью белая заработная плата; — График: 5/2, полностью удаленный формат работы; — Возможность посещения офиса - м. Проспект Мира (5 минут пешком); — Работа в дружной команде и развитая корпоративная жизнь; — Возможность профессионального и карьерного роста, гибкое отношение к новым идеям; — Корпоративное обучение Fix Academy (вебинары и тренинги от наших экспертов на различные тематики); — Возможность повышения квалификации и переподготовки по выбранной специальности в нашем корпоративном университете с получением сертификата или диплома; — Программа ДМС; — Корпоративные скидки в фитнес-клубы; — Программа поддержки психологического здоровья сотрудников; — Программа лояльности в сети магазинов компании (бонусная карта Fix Price Business); — Премиум доступ к платформе со скидками от партнеров; — Подарки на день рождения.

Location: San Francisco; New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. PRODUCT AT BASETEN Baseten is building a new cloud for AI. Our ambition is to make inference, training, and agent execution part of one coherent platform, and to shape how the next generation of AI products gets built. Product decisions here reach from the economics of GPU infrastructure to the abstractions developers build on every day. We’re hiring builders and tastemakers with the ambition to help create that future. You should bring a strong point of view about what should exist, the taste to make complex technology feel simple, and the technical judgment to build it alongside engineers, researchers, and designers. You’ll work directly with customers and forward deployed teams, turn emerging capabilities into new possibilities for developers, and carry an idea from early conviction through to production and adoption. THE ROLE Shape how AI infrastructure is priced, packaged, and sold. AI infrastructure is changing fast, and the way customers pay for it is evolving just as quickly. Tokens, GPUs, reserved capacity, training jobs, agent execution. Different workloads have different economics, and traditional cloud pricing models don't always fit. We're looking for a Product Manager to lead pricing and monetization across Baseten's platform. You'll help determine how we package our products, measure usage, price new capabilities, and make it easier for customers to understand and manage their spend. This is a rare opportunity to influence both how customers experience our platform and how the business grows. RESPONSIBILITIES - Own pricing and packaging strategy across inference, training, sandboxes, Grid, and future products. - Design pricing models for token-based inference, dedicated deployments, reserved capacity, and emerging AI workloads. - Work with engineering and finance to understand infrastructure costs, GPU utilization, margins, and usage patterns. - Build and test pricing strategies using customer research, quantitative analysis, and real-world usage data. - Shape the developer and enterprise purchasing experience, including credits, commitments, discounts, overages, and billing transparency. - Partner with sales, finance, and product teams to bring pricing changes to market and manage customer transitions. - Identify opportunities to improve adoption, revenue growth, and unit economics. REQUIREMENTS - 10+ years of experience in pricing, packaging, or monetization for cloud infrastructure, developer platforms, or complex usage-based products. - A track record of owning meaningful pricing decisions, from strategy and modeling through launch and adoption. - Experience with both self-serve and enterprise pricing, including commitments, consumption models, and commercial negotiations. - Strong analytical skills, including hands-on work with SQL, financial models, usage data, and customer cohorts. - A deep understanding of how pricing influences customer behavior, product adoption, and business economics. - The ability to work across product, engineering, finance, and GTM to turn complex pricing decisions into simple customer experiences. NICE TO HAVE - Experience pricing AI/ML infrastructure, GPU compute, model APIs, or other emerging developer platforms. - Familiarity with inference economics, including utilization, caching, retries, and serving costs. WHAT SUCCESS LOOKS LIKE Customers understand what they're paying for and can confidently grow their usage. Baseten has pricing models that make our products easy to adopt, support enterprise growth, and reflect the real economics of running AI at scale. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: London, United Kingdom; London, United Kingdom - Deliveroo About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. At Wolt and Deliveroo, we bring the best of the neighbourhood to customers’ doors. Our Pricing & Affordability team shapes the customer-facing economics of ordering - from the fees customers pay to the discounts and promotions that make an order feel within reach. We make everyday ordering feel worth it and affordable, while building a business that can grow sustainably. We are looking for a Strategy & Operations Manager to help shape this agenda across EMEA. You will own complex workstreams from first principles through to execution - shaping strategy, making decisions and delivering measurable customer and business impact. What you’ll be doing You will sit at the intersection of commercial strategy, Product and Data Science. Your work will shape how we set prices, create value for customers and build the capabilities that make affordability more intelligent over time. Day-to-day, you’ll: Own high-impact Pricing & Affordability workstreams end to end: define the problem, identify the opportunity, make a recommendation, drive implementation and measure the result. Turn customer and commercial insight into practical strategy - deciding where we should invest, what to test and how to balance customer value, growth and sustainable economics. Partner closely with Data Science to frame optimisation problems, interpret models and experiments, and turn learning into better decisions. Work with Product and Engineering to define and prioritise the capabilities needed to scale successful ideas. Use experiments, customer insight and commercial judgement to decide when to improve, scale or stop an initiative. Build clear frameworks and narratives that help senior leaders make confident decisions in complex, fast-moving situations. Our humble expectations You have 3+ years of professional experience and a track record of owning complex work independently. We care more about your judgement and demonstrated impact than your exact background or tenure. You are an exceptional problem-solver: you can bring structure to ambiguity, identify what matters and move from analysis to a practical answer. You have strong commercial and analytical judgement, paired with a growth mindset. You can spot opportunities, make thoughtful trade-offs with incomplete information and move quickly when the evidence is there. You are an operator at heart. You enjoy seeing your work through and turning an idea into measurable impact. You communicate clearly and concisely, whether you are working through a problem with a partner or presenting a recommendation to senior leaders. You are interested in how AI can improve the way you work - from structuring problems and accelerating analysis to improving the quality of decisions - and you apply sound judgement about what still needs to be checked. Experience in consumer technology, high-growth environment, or alongside Product and Data Science, is welcome but not required. What’s in it for you This is an opportunity to work on some of the most consequential customer and commercial questions in our business: how to make Wolt and Deliveroo more compelling in customers’ everyday lives, while building durable growth. You will build unusually broad experience across commercial strategy, experimentation, product development and data-led optimisation - with the ownership to see your decisions play out in the market. You will work on increasingly complex problems across Wolt and Deliveroo, gain exposure to senior decision-makers, and broaden your remit across the full Pricing & Affordability portfolio as you demonstrate impact. Next steps We review applications on a rolling basis. You will first speak with our Talent Acquisition team, then with the Hiring Manager. From there you will meet others on the team, and the process closes with a final assignment. If you are excited by the opportunity to shape how millions of customers experience affordability every day, we would love to hear from you. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Brazil; Argentina We are looking for a Commercial & Pricing Analyst. In this role, you will work daily with sales dynamics and margin performance across markets, suppliers, and partners. It is not just about reviewing numbers — it is about understanding what stands behind them: which processes, decisions, and business factors drive the trends. You will identify the root causes of performance changes, develop well-reasoned recommendations within existing pricing models, and support their implementation together with the commercial team. This position requires a data-driven mindset, confidence in working with large data sets, and the ability to structure information and make balanced decisions. The role involves a high level of autonomy and personal responsibility for the accuracy of conclusions and their financial impact on the business. This is a remote position open to candidates based in GMT-1 to GMT-3 time zones, with the working day starting at 9:00 or 10:00 local time, or in GMT+0, with the working day starting at 11:00 or 12:00 local time. Monitor daily sales dynamics across multiple segments: brand, country, supplier, key company partners, suppliers, and business lines. Analyze multiple core metrics in combination to get a comprehensive picture. Work confidently with large datasets; identify key events and business changes behind the numbers and graphs. Deeply immerse yourself in business processes and identify root causes for metric changes. Develop solutions that drive positive trend-level changes. Collaborate with other teams to implement agreed-upon decisions, provide well-reasoned justification for proposed measures, build action plans, and monitor results. Present results clearly using charts and numbers. Defend the company’s interests and provide well-reasoned refusals under pressure, when required. Communicate daily with the commercial team, dive into the specifics of each market, collect feedback, structure and aggregate received information, and present it in summary form. Ensure the quality of collected data, clarify and verify suspicious or potentially inaccurate information with related teams. Process internal requests regarding price discrepancies with competitors, verify data accuracy, make pricing decisions, and issue discounts. Requirements 1–3 years of experience in analytics, pricing, revenue management, commercial analytics, or related functions. Previous experience in B2B travel pricing for partners, excluding hotel pricing, is highly desirable. English proficiency at B2 (Upper-Intermediate) level or higher (both spoken and written). Strong analytical skills: ability to work with multiple metrics and analytical tools simultaneously, understand business processes behind the numbers, pay close attention to details and identify root causes of changes. Advanced Excel skills (cubes, pivot tables, complex formulas, charts). Basic SQL skills: ability to read and modify existing queries, write simple queries to extract data from multiple tables. Experience working with large data sets, high attention to detail, and structured/systematic thinking. Experience with BI tools is a plus. Benefits Flexible schedules and the opportunity to work remotely. An ambitious and supportive team who love what they do, appreciate each other, and grow together. Internal programs for onboarding and training, development of soft skills and leadership abilities. Partial compensation for participation in external training and conferences. Corporate English school: group and individual lessons, speaking clubs with colleagues from all over the world. Corporate rates on hotels and travel services. MyTime Day Off – an extra non-working day with full compensation. Learn more about our data protection practices in our Privacy Policy: https://emergingtravel.notion.site/recruitment-privacy-notice

Location: Tbilisi, Georgia About Voyagu Premium travellers deserve more than a booking engine. They deserve an expert. Voyagu is a San Francisco-based travel management company that connects high-value travellers with expert advisors who make planning, booking, and support effortless. We’re a team of 100+ people across San Francisco, Amsterdam, Warsaw, Mexico City, and now Tbilisi. We generate millions in revenue in a billion-dollar industry, and we’re just getting started. About the role Behind every great deal is a great price. That’s where you come in. As a Pricing Operations Specialist, you’ll be the analytical engine behind our Sales team. Every request is a puzzle. Your job is to find the pricing and routing opportunities others miss and turn them into accurate, sellable options that help Sales close business and generate profit. This isn’t a sales or customer support role. You won’t talk to clients. You’ll work with data, logic, and patterns, and your work will directly drive results. No travel experience? No problem. We’ll teach you everything about airfares and booking systems. What you’ll be doing Breaking down each request: what’s needed, and what the market baseline looks like Deciding which pricing and routing approaches are worth trying, and how deep to search Building accurate, ready-to-book options that Sales can present with confidence Explaining the trade-offs between options clearly to the Sales team Knowing when to stop, and putting your time where it creates the most value Handling a high volume of similar analytical tasks with consistent focus and accuracy Learning fast: spotting patterns, applying them, and getting sharper every week What you’ll need Fluent English, for working with an international team every day Strong analytical problem-solving: you work from the facts you have, ask for what’s missing, and reach logical conclusions Ownership of outcomes. You care about the result, not just about finishing the task Fast learning and sharp pattern recognition, especially with new and complex information Focus and discipline in repetitive, detail-heavy work Curiosity about how your work turns into commercial results Nice to have Experience in pricing, logistics, planning, procurement, operations, or analytics A background in engineering, economics, math, or science What you’ll get Base pay + commission on the gross profit you help generate, paid in USD Structured onboarding that trains you in airfares, routing, and booking systems from zero A role at the heart of a fast-growing business, in an international team 20 PTO days, 8 floating holidays, and 5 sick days 50 remote days per year after 6 months Health insurance after probation All equipment provided The setup Monday to Friday, 5 PM–2 AM Tbilisi time, aligned with U.S. business hours On-site at our office in downtown Tbilisi Independent Contractor agreement Numbers. Logic. Real impact. If you love solving problems and seeing your work turn into results, apply now. Let’s talk .

Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role This is a unique role that sits at the intersection of economics, analytics, product, and strategy. You’ll combine rigorous quantitative analysis with customer research and commercial thinking to shape how Fivetran prices, packages, and monetizes its products. What You’ll Do Analyze product usage, deal, financial, and billing data to model pricing, packaging, and monetization scenarios. Design frameworks to assess willingness to pay, customer value, and price realization across customer segments and product lines. Conduct research on pricing strategies, packaging models, and monetization approaches across comparable and adjacent markets. Lead pricing and packaging strategy for new product launches, partnering with Product, GTM, and Finance to define commercial models Build value-based pricing and econometric models to quantify elasticity, customer ROI, and lifetime value. Design and execute pricing experiments Synthesize quantitative analysis, customer research, and competitive intelligence into executive recommendations that influence pricing strategy. Drive customer and prospect research to understand purchasing behavior, value perception, and pricing friction. Partner closely with Product, Analytics, Finance, Sales, Marketing, and Legal to deliver end-to-end pricing initiatives. Define KPIs and dashboards that measure pricing performance and identify optimization opportunities. Continuously evolve our pricing and packaging strategy to improve ARR growth, customer adoption, and value realization Skills We’re Looking For 5–8 years designing or operating SaaS or sophisticated B2C pricing models, preferably with usage‑based or behavioral pricing experience Deep quantitative chops—an advanced degree (PhD/MSc) in Economics, Statistics, Operations Research, Applied Math, or similar Fluency in SQL and Python for large‑scale data analysis; proficiency with BI tools such as Looker or Tableau; bonus for dbt Hands‑on experience with conjoint, MaxDiff, Gabor-Granger, or Van Westendorp surveys and causal experiment design Strong attention to detail and data analysis skills – including interpreting results and recommending actions Proven record of turning complex models and analyses into recommendations and shipping changes that moved ARR, gross margin, or NRR Collaborative mindset with Product, Analytics, Finance, Sales, and Legal; you can navigate from whiteboard to contract terms with ease Strong communication and presentation skills with ability to influence at the executive level #LI-DJ1 #LI-Hybrid The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $215,424 — $269,280 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Задачи Ценообразование: определять цены покупки и продажи, а затем строить и развивать систему их расчёта. Ассортимент: решать, на каких предметах делать фокус, с учётом маржи, ликвидности и срока продажи.

Location: Москва Workplace: Гибридный О компании Продукт занимается созданием комплексного решения, которое позволяет гибко управлять ценами товаров/услуг/подписок в зависимости от профиля клиента/характеристик товара для достижения различных бизнес-целей. Обязанности Аналитика и подсчет результатов по персональным предложениям; Работа с данными телекома, поиск закономерностей, сборка фичей для моделей; Визуализация метрик, построение дашбордов в BI Требования Базовые знания в SQL, математической статистике; Начальные знания в Python; Будет плюсом опыт работы с BI-инструментами Условия Cобственную платформу MTS Ocean для получения ИТ-ресурсов, а это значит, что деплой, мониторинг, observability — не будут для тебя проблемой, ты сможешь сосредоточиться на фичах; Профессиональные гильдии инженеров, где мы поддерживаем друг друга и помогаем стать лучше; Внутреннюю площадку TechTalks для обмена опытом, дискуссий, развития навыков самопрезентации; Полезные курсы и вебинары в корпоративном университете и электронную библиотеку. А еще: Прием врачей общей практики и массаж в офисе; Мобильная связь за счет компании и льготные тарифы для близких; Подписка на онлайн-кинотеатр KION, сервис МТС Музыка, книжный сервис Строки от МТС, безлимитные мессенджеры и соцсети.

Location: Kazakhstan; India; Georgia; Armenia; Azerbaijan We are looking for a Commercial & Pricing Analyst. In this role, you will work daily with sales dynamics and margin performance across markets, suppliers, and partners. It is not just about reviewing numbers — it is about understanding what stands behind them: which processes, decisions, and business factors drive the trends. You will identify the root causes of performance changes, develop well-reasoned recommendations within existing pricing models, and support their implementation together with the commercial team. This position requires a data-driven mindset, confidence in working with large data sets, and the ability to structure information and make balanced decisions. The role involves a high level of autonomy and personal responsibility for the accuracy of conclusions and their financial impact on the business. This is a remote position open to candidates based in or comfortable working within GMT+4 to GMT+6 time zones. Monitor daily sales dynamics across multiple segments: brand, country, supplier, key company partners, suppliers, and business lines. Analyze multiple core metrics in combination to get a comprehensive picture. Work confidently with large datasets; identify key events and business changes behind the numbers and graphs. Deeply immerse yourself in business processes and identify root causes for metric changes. Develop solutions that drive positive trend-level changes. Collaborate with other teams to implement agreed-upon decisions, provide well-reasoned justification for proposed measures, build action plans, and monitor results. Present results clearly using charts and numbers. Defend the company’s interests and provide well-reasoned refusals under pressure, when required. Communicate daily with the commercial team, dive into the specifics of each market, collect feedback, structure and aggregate received information, and present it in summary form. Ensure the quality of collected data, clarify and verify suspicious or potentially inaccurate information with related teams. Process internal requests regarding price discrepancies with competitors, verify data accuracy, make pricing decisions, and issue discounts. Requirements 1–3 years of experience in analytics, pricing, revenue management, commercial analytics, or related functions. Previous experience in B2B travel pricing for partners, excluding hotel pricing, is highly desirable. English proficiency at B2 (Upper-Intermediate) level or higher (both spoken and written). Strong analytical skills: ability to work with multiple metrics and analytical tools simultaneously, understand business processes behind the numbers, pay close attention to details and identify root causes of changes. Advanced Excel skills (cubes, pivot tables, complex formulas, charts). Basic SQL skills: ability to read and modify existing queries, write simple queries to extract data from multiple tables. Experience working with large data sets, high attention to detail, and structured/systematic thinking. Experience with BI tools is a plus. Benefits Flexible schedules and the opportunity to work remotely. An ambitious and supportive team who love what they do, appreciate each other, and grow together. Internal programs for onboarding and training, development of soft skills and leadership abilities. Partial compensation for participation in external training and conferences. Corporate English school: group and individual lessons, speaking clubs with colleagues from all over the world. Corporate rates on hotels and travel services. MyTime Day Off – an extra non-working day with full compensation. Learn more about our data protection practices in our Privacy Policy: https://emergingtravel.notion.site/recruitment-privacy-notice

Workplace: Москва и Краснодар (гибрид/офис), другие города - удаленно Магнит Доставка MAGNIT OMNI ищет аналитика в команду ценообразования Мы развиваем ML-модели и экспериментальные подходы, которые помогают принимать решения о ценах на основе данных. В этой роли вы будете исследовать влияние цены на спрос, проводить эксперименты и участвовать в развитии модели ценообразования Задачи Анализировать результаты ценовых экспериментов и квази-экспериментов Проектировать и анализировать A/B-тесты Оценивать влияние изменения цены на ключевые бизнес-метрики Исследовать и оценивать ценовую эластичность товаров Применять методы causal inference: Difference-in-Differences, Synthetic Control и другие подходы Анализировать и улучшать текущую ML-модель ценообразования Создавать и поддерживать инфраструктуру данных для pricing-аналитики Формировать гипотезы и превращать результаты анализа в практические рекомендации для бизнеса Требования Опыт проведения и анализа A/B-тестов Хорошее знание математической статистики Уверенное владение Python Умение самостоятельно проводить исследование: от постановки гипотезы до интерпретации результатов Будет плюсом Опыт работы с ценовыми экспериментами Опыт проведения квази-экспериментов Знание Difference-in-Differences, Synthetic Control и других методов causal inference Опыт анализа ценовой эластичности и спроса Опыт работы с ML-моделями Знание Trino, Airflow Условия Реальное влияние на бизнес: результаты вашей работы будут использоваться при принятии решений о ценообразовании Сложная аналитика: здесь важно не только увидеть изменение метрики, но и понять, чем оно вызвано Эксперименты и causal inference: возможность применять статистические методы на реальных бизнес-задачах ML: участие в развитии модели ценообразования и оценке её бизнес-эффекта Большой масштаб данных и задач крупнейшего российского ритейла Формат работы Москва и Краснодар (гибрид/офис), другие города - удаленно

Location: Chicago DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. UP (Unified Platform) consolidates data and technologies into a comprehensive solution, accelerating time to market. Optimizing decision-making and research, our platform simplifies implementing new ideas, enhancing our competitive edge. We work from high-level requirements where programmers are expected to gain an intimate understanding of the business. We strive for an environment where developers have the autonomy to pursue business solutions without arbitrary management constraints. We are a group of polyglots and technologists always seeking to find the right tool for each problem. Broadly, the development teams at DRW believe in rapid deployment and feedback, automated testing, and cohesive, transparent, lightly coupled service architectures. The Pricing and Derived Data team within UP is seeking an outstanding Senior Software Engineer to join us in building a new data platform that provides intra-day and end-of-day prices across the firm. The team is responsible for pricing millions of instruments across many asset classes and exchanges in near-real-time. Clients range from trading systems needing low-latency updates to researchers working with large historical datasets. Our current architecture is written mostly in Elixir, which we enjoy and derive great value from. Inter-service streaming communication is over gRPC and the data layer comprises PostgreSQL, Kafka, and ClickHouse. Demand for our services is growing rapidly across a variety of access patterns, and we are now building a comprehensive data platform as an extension of our existing system to meet this demand. This position presents an opportunity to shape the future direction of our work. The successful candidate will play a key role in answering questions such as: How do we guarantee that a client sees the same prices whether they query the warehouse, subscribe to a stream, or call our gRPC API? How do we let clients load a snapshot and then switch to live updates with no gaps or duplicates? What parts of our systems should stay in Elixir, and where should we consider other technologies? Experience We are looking for strong senior generalists who have a considerable experience building data products. Candidates should be able to provide examples of significant projects that they have led from design through to operating in production, including responsibility for architectural decisions. We are interested in hearing from candidates who have had to choose between technologies and can talk to us about why they would or would not make that choice again. Relevant areas include event streaming, change data capture, open table formats and stream and batch processing. Associated technologies include Kafka, Delta Lake, Iceberg, ClickHouse, Spark, and Flink. We are interested in a deep understanding of the architectural requirements that these technologies are suitable for rather than years of experience in a specific one of them. Prior experience in Elixir or in the financial domain is not required, but candidates should be interested in working in these areas. Examples of projects you may have led include: Designing and building a high-volume and/or low-latency data processing system, including ingestion, storage, and distribution. Scaling an ingestion pipeline handling thousands, or tens of thousands of events per second on a single node (optimisation) and/or across multiple nodes (distribution). The operation and support of a data product which has time- and correctness-sensitive delivery requirements. Personal traits We value: Humility and respect for others, and trust in our teammates. The ability to learn, adapt and grow. The capacity to independently drive projects to completion, but a preference to collaborate with teammates. Excellent listening and communication skills The annual base salary range for this position is $175,000 to $250,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-SH1

Location: Москва Мы ищем ведущего системного аналитика, который станет ключевым экспертом в команде и будет отвечать за качество и архитектурную целостность сложных финтех-решений. Вы будете не просто описывать требования, а проектировать будущее системы, наставлять коллег и связывать бизнес-цели с технической реализацией. Обязанности Проектирование и архитектура * Проектировать архитектуру интеграций: Разрабатывать схемы взаимодействия со смежными системами, выбирая оптимальные паттерны для синхронного (REST, gRPC) и асинхронного (Kafka, RabbitMQ) обмена данными. * Участвовать в проработке архитектуры: Совместно с архитекторами определять верхнеуровневую структуру системы, ее нефункциональные требования (производительность, отказоустойчивость, безопасность). * Анализировать влияние изменений: Оценивать, как новые требования затронут существующую систему, данные и связанные компоненты, предлагая наиболее безопасные и эффективные пути реализации. * Прорабатывать UX/UI: Совместно с дизайнерами и продуктовой командой проектировать логику пользовательских интерфейсов, обеспечивая их удобство и соответствие бизнес-логике. Аналитика и управление требованиями * Формировать и декомпозировать требования: Собирать бизнес-требования, трансформировать их в детальные функциональные и нефункциональные спецификации, декомпозировать крупные задачи (Epics) на User Stories. * Осуществлять менторство и ревью: Проводить ревью артефактов (ТЗ, спецификаций, диаграмм) других аналитиков, делиться лучшими практиками, помогать в решении сложных кейсов и участвовать в онбординге новых сотрудников. * Управлять бэклогом: Оценивать трудоемкость задач, приоритизировать их совместно с Product Owner'ом и поддерживать бэклог в состоянии готовности к разработке Поддержка и развитие * Разбирать инциденты: Выступать в роли 2-й/3-й линии поддержки: анализировать инциденты на ПРОМе, быстро находить корневую причину и предлагать решения. * Взаимодействовать со стейкхолдерами: Вести переговоры с бизнес-заказчиками и техническими специалистами, аргументированно защищать принятые решения и управлять ожиданиями. Требования Профессиональный опыт: * Имеет опыт работы системным аналитиком от 5 лет, из которых не менее 1-2 лет в роли Senior или Lead. * Имеет опыт проектирования сложных высоконагруженных систем, включая интеграционное взаимодействие (REST, Kafka, XML/JSON). * Уверенно владеет SQL на уровне сложных запросов и имеет опыт проектирования логических и физических моделей данных для реляционных СУБД. * Обладает глубоким знанием UML (особенно sequence-диаграммы) и BPMN, использует их для моделирования сложных алгоритмов и процессов. * Имеет практический опыт работы в Agile-командах (Scrum/Kanban), понимает принципы и ценности гибких методологий. * Имеет опыт проработки архитектурных решений и понимает принципы DDD\*\*,\*\* Microservices\*\*,\*\* Event-Driven Architecture. Навыки и компетенции: * Способен самостоятельно вести сложные, кросс-компонентные задачи от идеи до внедрения. * Обладает сильными навыками менторства, умеет понятно объяснять сложные вещи и развивать младших коллег. * Умеет читать код (приветствуется опыт с Java/Groovy) для анализа логики и оценки реализуемости требований. * Проактивен, способен работать в условиях неопределенности, брать на себя ответственность за результат. Условия * комфортный современный офис рядом с м. Кутузовская * офисный формат работы * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте (для Junior позиций) * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. We're looking for a Product Manager to own Pricing within our Growth team across Deliveroo and Wolt! This role operates across 40+ markets in EMEA, and sits at the heart of our marketplace: Our fee strategy directly shapes consumer conversion, order frequency, PnL outcomes - and connects deeply to rider earnings and merchant economics across the Globe. You'll be responsible for building a pricing strategy and experimentation roadmap that grows revenue and profitability sustainably, without compromising the customer experience. This is a very high-visibility role. You'll partner closely with Leadership, Data Science, Engineering, Finance, Marketing, and Operations to design, launch, and iterate on pricing experiments across all markets, from delivery fee and service fee algorithms to 0-1 new ventures. You'll be expected to build a strong testing culture, translate ambiguous commercial questions into a rigorous experimentation agenda, and communicate results and trade-offs clearly to senior stakeholders. About the Team Our ambition is simple: make our platform an affordable, daily habit for all users. The Pricing team builds the systems and experiences that touch every single order — from delivery options to promotions, fees, and entirely new pricing models. Operating across 40+ markets, our work sits at the intersection of customer value, growth, and marketplace economics. Small changes at this scale can change how customers perceive us, how often they order, and the economics of the entire marketplace. We bring together consumer psychology, experimentation, data science, economics, and product craft to answer one deceptively difficult question: How do we make every order feel like great value while driving sustainable growth? What You’ll Do Own the end-to-end strategy and roadmap for a portfolio of global pricing products. Identify and launch major growth opportunities across affordability, conversion, frequency, revenue, and profitability. Drive 0 to 1 big bets through validation, launch, then scale them 100X. Partner deeply with Data Science and ML Engineering to design pricing algorithms, experiments, and scalable platform capabilities. Develop hypotheses, launch experiments, interpret results, and turn learnings into product strategy. Define the metrics and decision frameworks used to evaluate customer value, growth, and marketplace economics. Communicate strategy, results, and tradeoffs to senior leaders across DoorDash. What We’re Looking For You might be a great fit if you: Have significant product management experience building complex consumer, marketplace, growth, or monetization products. Are deeply analytical and comfortable using experimentation and data to make high-stakes product decisions. Are comfortable working closely with Data Science and ML Engineering on algorithmic or optimization problems. Can turn ambiguous commercial questions into clear and executable product hypotheses and roadmaps. Can operate as a “conductor” — aligning technical, operational, and business stakeholders and stitching together strategy, execution, and influence across teams. Why Join Us? At Deliveroo and Wolt, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. 💰 Share in the success you help create Competitive salary and equity options, so you’re rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our Tech Blog . We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Find more about how we hire here . Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Москва Workplace: Гибридный О компании MTC Web Services (MWS) — бигтех-компания, предоставляющая облачные, AI-сервисы и платформенные решения под разные задачи бизнеса: от работы с данными до разработки продуктов и оптимизации процессов. Также мы запустили новую публичную платформу собственной разработки — MWS Cloud Platform. Ищем стажера Data Engineer в команду Dynamic Pricing. Продукт занимается созданием комплексного решения, которое позволяет гибко управлять ценами товаров/услуг/подписок в зависимости от профиля клиента и характеристик товара для достижения различных бизнес-целей. Обязанности Разрабатывать ETL-процедуры с использованием Python, PySpark, Hadoop, Airflow; Собирать данные из разных реляционных и нереляционных источников (Kafka, Redis, Hadoop); Создавать и наполнять витрины данных в Hive/Postgres/Greenplum; Писать базовые дата-процессы и поддерживать существующие пайплайны; Оформлять и актуализировать техническую документацию; Помогать в решении текущих технических задач (работа с мелкими файлами в Hadoop и др.); Участвовать в обсуждениях архитектуры и процессов обработки данных. Требования Студенты 3 - 6 курсов бакалавриата, специалитета или магистратуры; Хорошее знание Python; Уверенное знание SQL и умение работать с реляционной СУБД; Понимание принципов работы с Git; Базовое понимание концепций ETL и работы с данными. Условия График работы 40 часов в неделю; Гибридный формат работы; Развитие в командах профессионалов и опытный наставник, готовый делиться опытом; Мобильная связь за счет компании; Подписка на онлайн-кинотеатр KION, сервис МТС Музыка, книжный сервис Строки от МТС, безлимитные мессенджеры и соцсети; Специальные предложения от партнеров и скидки от продуктов экосистемы МТС; Непрерывное развитие — доступ к курсам и вебинарам корпоративного университета и онлайн-библиотеке.

Location: Redwood City, CA WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU Box is evolving in terms of pricing and packaging – taking our more straightforward, seat-based model and augmenting it with API-call-base and AI-driven consumption. The Director, Pricing & Packaging will help Box navigate the shift from traditional enterprise software pricing towards consumption-based pricing tied to AI usage, units, platform activity, costs, and business value. The impact of this leader will be both strategic and operational. They will bring analytical rigor to pricing model design while helping cross-functional teams align around recommendations, tradeoffs, and implementation. Success will depend not only on building the right model, but also on clearly articulating the business context and strategy behind pricing recommendations to senior leaders. This is an individual contributor role reporting into our Vice President, Product Marketing. This role will be hybrid based in our Redwood City, CA global HQ three days per week. YOUR IMPACT AT BOX The Director, Pricing & Packaging will own a strategic and execution-oriented pricing function focused on helping Box modernize its pricing approach. Key responsibilities include: Lead the evolution of Box’s pricing model from a primarily seat-based approach to more complex platform, usage, and AI consumption-based models. Develop pricing models for AI usage and consumption units that make sense for Box’s business as the traditional seat-unit model becomes less central. Partner closely with key stakeholders across Product, Engineering, Finance, Controllership, GTM, and executive leadership to roll out pricing models that are analytically sound and commercially viable. Build rigorous pricing analyses using strong quantitative skills, including modeling, spreadsheets, regression, intake analysis, cost considerations, and business-case development. Translate complex pricing work into a clear business story that helps executives and partner teams understand the recommendation, rationale, tradeoffs, and expected impact. Operate effectively in ambiguity, bringing structure to complex, evolving problems where the path forward may not yet be fully defined. Drive alignment and implementation, not just strategy, by working through operational challenges, influencing cross-functional teams, and bringing stakeholders along. Understand and articulate how AI models are priced, why those pricing structures matter, and how they affect Box’s business economics. WHO YOU ARE Box executives are engaged, passionate leaders who prioritize customer centricity, innovation, and growth. As an AI-first company, XLT members bring a growth mindset and proactively leverage AI to make faster, smarter decisions that amplify their impact across the business. As a leader in this role, you have/are: Highly quantitative skill set, including comfort with pricing modeling, spreadsheets, regression, cost analysis, and structured business analysis. Strong pricing and packaging expertise, ideally in enterprise SaaS, AI, platform pricing, or usage-based pricing environments. Strong understanding of AI-related pricing dynamics, including how AI models are priced, why those pricing structures matter, and how they affect business economics. Ability to do the analytical work directly, not only manage or advise on it. Strong storytelling and communication skills, with the ability to articulate pricing recommendations clearly to executives and cross-functional partners. Influence and stakeholder-management skills, especially in ambiguous situations where teams may have competing priorities or resistance to change. Ability to operationalize strategy, ensuring recommendations move beyond a deck and can be implemented in the business. Collaborative working style, with the ability to partner effectively across Product, Engineering, Finance, Controllership, and GTM teams. MBA or equivalent experience involving pricing methods such as conjoint analysis or similarly structured approaches. Bonus if you’ve navigated pricing shifts from classic SaaS software models to AI or consumption-based models. Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week. Your Recruiter will share more about how we work and company culture during the hiring process. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form . Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chance Ordinance. The Fair Chance Ordinance is provided here . Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance. The Fair Chance Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information , check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . Redwood City Pay Range $224,000 — $230,000 USD

Location: London, United Kingdom Workplace: remote We are looking for a Lead Applied Researcher — Pricing to design and evolve dynamic pricing systems for our marketplace. You will develop pricing as a feedback-driven decision system , balancing supply, demand, and business outcomes under uncertainty and delayed signals. Unlike traditional surge-based pricing, our marketplace operates on a unique bid-based pricing model , where prices are shaped through direct negotiation between riders and drivers. This creates a fundamentally different optimization problem, requiring advanced approaches to modeling user behavior, incentives, and marketplace dynamics. Key Responsibilities Design and improve dynamic pricing policies, including elasticity and supply/demand response modeling Frame pricing as a decision system under uncertainty and delayed feedback Develop, test, and deploy real-time pricing algorithms Design and analyze A/B experiments to evaluate pricing impact Productionize models in collaboration with engineering, ensuring scalability and robustness Monitor system performance, including stability, feedback effects, and long-term behavior Contribute to methodological choices (e.g., optimization, control, RL-inspired approaches) Skills, Knowledge and Expertise Professional experience in Data Science, Applied Research, or algorithmic product optimization, preferably in marketplaces or pricing systems Strong background in statistics, optimization, and causal inference Proven ability to move from problem formulation to production-grade solutions Proficiency in Python, SQL, and experience with production ML systems Nice to Have Experience with economic modeling (elasticity, auctions, policy design) Familiarity with control systems, RL, or online optimization Experience working with real-time, high-load systems Why join us Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 47 countries Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Final benefits may vary depending on the location.