Вакансии

Задачи: • разработка математической модели кейсов; • расчёт и настройка RTP, EV, House Edge;

Зарплата не указана

• Расчёт математической модели открытия кейсов. • Настройка вероятностей выпадения предметов.

Зарплата не указана

Location: New York, NY (HQ); Remote (US) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE We’re seeking someone to lead the future of fraud machine learning at Ramp. In this role, you will help build core machine learning models, design data architectures, and set strategic roadmaps to help Ramp mitigate fraud-related threats while minimizing the friction experience by legitimate users. You will partner closely with product and engineering counterparts across model design, implementation, execution, and analysis. WHAT YOU’LL DO - Employ statistical and machine learning techniques on large datasets to discover patterns of fraud, platform abuse, and identity theft - Prototype and productionize machine learning models and rules-based systems to protect Ramp and its users from fraud - Partner closely with Fraud Engineering and Data Platform teams to augment and leverage data across first and third party sources, ensuring we’ve added as much context as possible to every decision we make - Contribute to the culture of Ramp’s machine learning team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way WHAT YOU NEED - Bachelor’s degree or above in Math, Economics, Physics, Computer Science, or other quantitative fields - A minimum of 5 years of industry experience as a Machine Learning Engineer, Applied Scientist or Data Scientist - Strong python experience (numpy, pandas, sklearn, pytorch etc.) across ML techniques and backend engineering - Prior experience deploying Machine Learning models to production and making meaningful contribution to backend systems - Strong knowledge of SQL (Snowflake, Postgres, etc.) - Fluency with agentic (AI) tools for software development and data analysis - Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions NICE-TO-HAVES - PhD in Math, Economics, Physics, Computer Science, or other quantitative fields - Context on Fraud and/or Identity Threat detection systems - Experience at a high-growth startup - Experience with the modern data stack ( Snowflake / Hex / dbt / RisingWave / etc ) - Strong perspective on data science + ML engineering development cycle, especially in a post-AI setting - Experience developing LLM-backed systems or tools BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

200 000 – 330 000 $

Задачи: — Разрабатывать слоты и instant games с нуля. — Реализовывать игровую механику согласно GDD и Math техническим заданиям. — Разрабатывать frontend и backend части игры. — Интегрировать API / RGS. — Работать с игровой логикой, состояниями и серверными событиями. — Интегрировать готовый UI/UX, анимации, звук и игровые ассеты. — Оптимизировать игру под desktop и mobile. — Исправлять баги по результатам QA. — Доводить проект до готового production build. Требования: — Коммерческий опыт Full Stack или Frontend разработки. — Уверенный TypeScript / JavaScript. — Опыт разработки интерактивных web-приложений или игр. — Опыт работы с PixiJS или аналогичным game framework. — Для Full Stack позиции — опыт разработки backend на Node.js. — Понимание API и клиент-серверного взаимодействия. — Понимание игровой архитектуры и state management. — Умение работать с готовыми техническими заданиями и макетами. — Умение самостоятельно разобраться в существующем коде и подключиться к проекту. — Ответственность за качество и сроки реализации. Будет преимуществом: — Опыт разработки слотов. — Опыт разработки crash / instant games. — Опыт работы со Stake Engine. — Опыт работы с RGS. — Опубликованные игры. — Опыт работы со Spine. — Понимание RTP, volatility, hit rate и принципов slot math. Условия: — На каждый проект команда предоставляет GDD, Math TZ, UX/UI, Figma, Animation, Sound, QA. — Разработчик сосредоточен на технической реализации игры, интеграции всех компонентов и подготовке проекта к релизу.

Зарплата не указана

Задачи: — управлять воронкой от привлечения до продажи; — отвечать за стоимость и качество квалифицированных лидов; — работать с Meta Ads; — анализировать кампании, аудитории, learning и creative fatigue; — руководить командой и подрядчиками; — строить когортную и сквозную аналитику; — анализировать CRM Bitrix24; — находить узкие места в воронке; — развивать SEO, блог и YouTube; — снижать зависимость от платного трафика; — работать с обратной связью отдела продаж. Требования: — подтверждённый опыт ответственности за лиды, встречи, продажи и CAC; — кейсы масштабирования привлечения в цифрах; — уверенная работа со сквозной аналитикой и атрибуцией; — понимание SEO; — опыт управления командой и подрядчиками; — уверенное использование AI; — готовность полностью погрузиться в одну компанию. Условия: — полностью удалённая работа; — full-time; — фикс 2 000 € + квартальный бонус; — совокупный доход до 5 000 €; — прямое взаимодействие с собственником; — высокий уровень самостоятельности.

2 000 – 5 000 €

Location: New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE The Applied Science team builds models and tools that solve Ramp’s most critical problems: from underwriting businesses to combatting fraud to making spend management smarter. We’re deeply embedded in the business and provide a quantitative foundation for decision making. As an Applied Science intern, you’ll be a fully integrated member of the team and own your project from start to finish. Working with engineers, product managers, and business stakeholders, you’ll translate complex business needs into scalable machine-learning-driven solutions. This is a chance to apply ML concretely, ship code, and create genuine value for Ramp and our customers. You will focus on exciting problems in areas like: credit, fraud, growth, or our core product.   WHAT YOU’LL DO - End-to-End ML: own the model lifecycle from data exploration and feature engineering to training, benchmarking, deployment, and monitoring - State-of-the-Art AI: leverage the latest Large Language Models (LLMs) to solve novel problems and create new product capabilities for our customers - Versatile Techniques: apply the right tools to the right problems, whether it’s deep learning, gradient boosting, or causal inference - Rigorous Experimentation: quantify the impact of your work through A/B tests and other statistical methods - Collaborate: partner closely with product and business leaders to translate models and insights into actionable strategy and user-facing features   WHAT YOU NEED - B.S., M.S. or Ph.D. Student: currently pursuing a degree in Data Science, Computer Science, Math, Physics, Economics, Statistics, or other quantitative fields with an expected graduation date between Dec 2027 - 2029. Graduate degrees are preferred, but not a must. - Strong ML Fundamentals: solid understanding of the mathematical foundations of machine learning, statistics, probability, and optimization - Strong Interest or Experience with AI: curiosity and drive to integrate cutting edge LLMs and agents into applied solutions - Python Proficiency: good grasp of common Data Science libraries (pandas, scikit-learn, NumPy, PyTorch, etc.) - SQL Knowledge: experience wrangling data in a modern data warehouse (e.g. Snowflake, BigQuery, Redshift, Clickhouse) - Practical Experience: track record of curating datasets and building/evaluating ML models - Strong Communication: ability to clearly explain complex concepts to both technical and non-technical audiences and use data to build a compelling narrative - Bias For Action: a comfort with ambiguity and desire to ship solutions quickly then iterate   NICE TO HAVES - Publications, Projects, or Previous Experience: relevant experience applying AI/ML and demonstrating your passion for the field - Production ML Mindset: knowledge of software engineering best practices applied to ML including version control (Git), testing, and writing maintainable code - Data Orchestration: experience with leveraging modern data orchestration platforms (Airflow, Dagster, Prefect, Metaflow)   COMPENSATION - The monthly rate for this internship is $12,500 USD + housing stipend   RAMP BENEFITS - Apple MacBook - Catered lunches in NYC office Monday-Friday - Weekly coffee stipend BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Plurio is an AI agent that automates media buying on Meta, Google, and TikTok for teams spending $300K–$15M a month, handling daily analysis, optimization calls, and execution directly in ad accounts. The system runs $500M+ per year in ad spend and has grown 5× since March. The AI marketing engineer role involves owning the client's marketing targets and improving metrics by automating media buying. Задачи: — Onboard clients by connecting their full-funnel data and ad accounts, setting business context including unit economics, P&L, products, geos, funnels, and media buying playbook. — Adapt and build automation skills and rules from Plurio's catalog or create new ones as needed, backtesting on historical data before deployment. Rules are deterministic SQL with campaign logic and guardrails. — Explain agent decisions and methodology changes to clients' Heads of UA and CMOs, assist marketers in running the agent, and handle discussions about spend and KPIs. — Standardize successful approaches into reusable templates and methodologies for future clients. Требования: — Managed approximately $500K+/month in ad spend hands-on on one or multiple channels (Meta, Google, TikTok). — Deep understanding of buying mechanics: account structure, optimization events, creative testing thresholds, scaling, burnout, budget allocation, attribution windows. — AI-native with experience automating parts of buying via rules, scripts, or skills in Cursor, Claude, or platform APIs. — Systems thinking: ability to logically chain goals, plan roadmaps, and clearly explain processes. — Client-facing experience communicating with Heads of UA, defending ideas with data and experiments, and maintaining relationships. — Ability to convert proven results into templates and methodologies for scaling. — Strong English communication skills. Условия: — Competitive base salary plus performance bonus based on client results. — Two grades hiring: Middle ($72,000–$96,000/year) and Senior ($102,000–$126,000/year) on-target earnings, gross. — Remote work worldwide within timezones up to UTC+5. — Provided laptop, software, and AI tools including Cursor, Claude, Codex, and shared AI infrastructure. — 50% coverage of relevant educational costs. — Vacation: two weeks twice a year plus holidays. — Employment via Deel contract. Процесс отклика: — Apply via the "Apply for this role" button on the linked page with social media and contacts. — Recruiter contacts within two days. — Calls with leadership and CPO including background, methodology, compensation, math, and AI mechanics. — Presentation of a built project. — Offer.

72 000 – 126 000 $

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role Join Replit's key teams across the company, such as AI Research, Strategic Finance, or the Office of the CEO, for a unique paid internship built for sharp quantitative and creative minds. You will work alongside our top executives, in addition to world-class engineers, designers, and finance team on some of the hardest problems in AI-native software creation and accelerating key areas of our business. We are creating a dedicated track for students with strong mathematical backgrounds because the problems we are solving sit at the intersection of deep math and applied AI, including agent reasoning, systems optimization, and improving how our models learn and perform at scale. Your work will directly shape how millions of users build software. You Will: - Contribute to real engineering problems that push the boundaries of AI-powered software creation - Collaborate with engineers, designers, and product managers on infrastructure that powers Replit's platform - Prototype novel approaches to problems in AI, systems, or tooling where mathematical rigor is the differentiator - Ship work that impacts millions of developers globally, in an environment where your ideas are heard and often implemented Required Skills and Experience: - Currently pursuing a Bachelor's, Master's, or PhD in Mathematics, Computer Science, Computer Engineering, Statistics, Physics, or a related quantitative field - At least one semester of schooling remaining after the internship - Demonstrated excellence in competitive mathematics such as IMO and IOI, quantitative research, or advanced coursework - Genuine curiosity about AI, agent systems, company building, or developer tooling - Extremely bullish on Replit and the future of AI-native software creation. We would love to see what you have built on the platform What We Value: - First-principles thinking: Ability to break down complex problems from the ground up and reason about them rigorously - Mathematical intuition: Strong grasp of the underlying math behind machine learning, optimization, or systems - Self-directed and autonomous: Capable of working independently while collaborating well with cross-functional teams - Strong communication: Ability to explain complex quantitative concepts to both technical and non-technical audiences - Curiosity and speed: Genuine excitement for hard problems and the drive to iterate quickly Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: Remote, 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-Remote The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Pay Range $209,378 — $261,723 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.

Location: San Francisco, California; New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: You'll be Recruiting's dedicated people analytics partner — owning the data, shaping the strategy, and in the room where decisions get made. The core of the role is building trusted recruiting analytics infrastructure (funnel + stage conversion, pipeline aging, time-to-fill, offer acceptance, sourcing channel quality, and recruiter capacity) and making it self-serve for recruiters and leaders. You’ll own the stack end-to-end — from raw data in Ashby and Snowflake to clear insights that hold up in a pipeline review. You're the person who turns workforce signals into recruiting strategy — bringing a point of view. This role may be based in either our San Francisco or New York City offices. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Own recruiting analytics end-to-end: Build and maintain the dashboards and reporting infrastructure Recruiting leadership relies on (funnel health, conversion rates by stage, time-to-fill, offer acceptance, pipeline aging, interview/interviewer effectiveness, and recruiter capacity) — real-time, self-serve, and trusted. - Build headcount + velocity models: Translate hiring targets into pipeline math (volume needed by stage, ETA to close, roles trending behind plan) and tie it to recruiter capacity and prioritization — so leaders see issues early and know what to do about them. - Make talent data decision-grade: Define core recruiting metrics and their definitions, document them, and build toward a single source of truth the team can align on. - Bring signal to pipeline leadership reviews: Show up to pipeline reviews and QBRs with crisp analysis and a recommendation (where the bottleneck is, what changed, what to test next), not just a slide deck. - Improve the recruiting system: Use data to spot where process, calibration, or prioritization is creating drag — and partner with Recruiting and Finance to fix it. - Use AI as leverage in your first 90 days: Use AI to accelerate query iteration, metric QA, and insight narratives (e.g., draft + test SQL approaches, anomaly checks, and concise readouts) while keeping the underlying logic and definitions clean and auditable. SKILLS YOU'LL NEED TO BRING: - Proven ability to build analytics that gets used: You’ve shipped dashboards/models that teams rely on to run real weekly decisions — not one-off reports. - Strong SQL + data modeling judgment: You can write complex queries, debug data issues, and build maintainable models/pipelines that other people can trust. - Quantitative modeling for recruiting problems: You can translate hiring stages into clear funnel math and capacity views, and you know how to stress-test assumptions. - Strategic partner instincts: You anticipate the questions leaders will ask, show up with the analysis, and can say what the data implies for decisions. - AI-fluent, with good taste: You use AI as a daily multiplier (analysis, QA, drafting narratives) and know when to rely on it vs. when to go to first principles. - Build in Notion: You’re comfortable structuring knowledge and workflows in Notion (databases, views, documentation) so your work is easy for others to find, trust, and build on. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $225,000 - $275,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

THE MISSION We are building the next generation of DeFi protocols, pushing the boundaries of what’s possible in decentralized finance. We need a heavy-hitter in Solidity who loves complex business logic, mathematical challenges, and mission-critical security. CORE RESPONSIBILITIES — Contract Engineering: Architect, develop, and evolve smart contracts for a high-stakes DeFi protocol. — Security First: Implement best practices to prevent vulnerabilities (reentrancy, overflows, etc.) and lead audits. — Optimization: Squeeze every drop of performance through expert gas optimization. — Innovation: Research and implement cutting-edge patterns and Layer 2 solutions. — Collaboration: Work closely with Backend and Product teams to translate complex logic into production-ready code. WHAT WE’RE LOOKING FOR — Experience: 5+ years of production-level Solidity development (Mainnet records required). — Deep Tech: Expert understanding of the EVM, assembly (Yul), and smart contract architecture. — Math Background: Master’s/Bachelor’s in Mathematics or Computer Science. — Open Source: Active contribution to DeFi ecosystems or notable open-source projects. — Soft Skills: Fluent English (B2+) and a collaborative mindset for high-speed delivery. — Vision: Clear understanding of L2 scaling and the future of Ethereum. PERKS & BENEFITS — Healthcare: Comprehensive Medical, Dental, and Vision insurance (Family included). — Flexibility: Unlimited PTO policy and a remote-first culture. — Family First: Up to 16 weeks of paid parental leave. — Growth: $1,500 annual educational budget. — Equipment: Home office stipend to build your perfect setup. — Wellbeing: Access to fitness partners and retirement plans (401k).

200 000 – 250 000 $

О ПРОЕКТЕ Мы — международный Web3-проект и один из топовых агрегаторов на рынке. Наш сервис объединяет предложения от надежных партнеров, поддерживает тысячи токенов и находит лучшие курсы для пользователей. Ищем аналитика, который превратит сырые данные в точки роста продукта. ВАШИ КЛЮЧЕВЫЕ ЗАДАЧИ — Analysis: Сбор и обработка продуктовых данных и on-chain активности. — Visualization: Создание и поддержка дашбордов по ключевым метрикам. — Product Growth: Построение воронок, когортный анализ и сегментация юзеров. — Experiments: Проведение A/B-тестов для оценки фич и маркетинга. — Insights: Поиск аномалий, прогнозирование метрик и настройка алертинга. — Strategy: Формирование рекомендаций для фаундеров и продуктовой команды. ЧТО МЫ ЖДЕМ ОТ ВАС — Experience: От 3 лет в аналитике (обязателен опыт в Web3/DeFi). — On-chain: Навыки работы с Dune, Bitquery или аналогами; умение делать wallet-level анализ. — Hard Skills: Уверенный SQL и Python для анализа данных. — BI Tools: Опыт работы с Tableau, Power BI, Looker или Splunk. — Math: Знание статистики и методов проверки гипотез. ПОЧЕМУ У НАС КРУТО? — Global Scope: Работа над масштабным продуктом с опытной командой. — Benefits: 28 дней отпуска + дополнительные Day Off. — Growth: Индексация ЗП дважды в год и полная компенсация обучения/конференций. — Care: Оплата коворкинга, спорта, медицины, психолога и курсов иностранных языков.

Зарплата не указана

Location: San Francisco 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. We are looking for an engineer with strong experience in machine learning and solid foundations in math and computer science to join our growing Post-Training team at Baseten. THE ROLE Custom models are instrumental to the success of Baseten customers. By inference volume, the overwhelming majority of traffic at Baseten is to and from models that have been post-trained in some way, whether that be through reinforcement learning, supervised finetuning, a recent technique from the literature, or an in-house research technique from Baseten. The Post-Training team is responsible for the success of our customers’ post-trained models, and we employ a wide array of techniques to produce models that are more efficient and higher quality than even the biggest closed source models for the customer’s specific needs. Your role as a research engineer is to build the in-house tooling to support all of this. We care about training a wide spectrum of different model architectures with a variety of techniques efficiently and at scale. At times this involves zooming deep into a particular technical topic, but more often it involves working across the stack as a whole - systems-level concepts like Kubernetes, cgroups, storage systems, and networking topologies, as well as PyTorch distributed tensor computation, and GPU kernels. The Manifesto: https://labs.baseten.co/manifesto RECENT RESEARCH - Dense, on-policy or both? https://www.baseten.co/research/dense-on-policy-or-both/ - Repeated kv cache for long-running agents https://www.baseten.co/research/repeated-kv-cache-for-long-running-agents/ - Distillation without the dark – replicating black-box on-policy distillation on Baseten https://www.baseten.co/research/distillation-without-the-dark/ We don’t have a rigid set of skills, but here’s some of what we’re looking for: - A deep understanding of modern ML techniques and tools for training transformers - Advanced experience in a tensor/array computation library like PyTorch, TensorFlow, Jax, or similar - A detailed understanding of transformer training parallelism strategies like data parallelism, sharded data parallelism, tensor parallelism, pipeline parallelism, context parallelism - The experience and knowledge to profile and improve the performance of a distributed GPU program in PyTorch or a similar library - The ability to perform roofline analysis on a transformer training setup - A willingness to dive into messy problems, work with researchers, derive specifications by asking important questions, and execute - Familiarity with HPC and distributed computing platforms like Slurm, Ray, Kubernetes, and Dask - Familiarity with cluster networking technology like Infiniband, RoCE, GPUDirect - Solid fundamentals in operating systems concepts like processes, files, kernel drivers, containerization, and networking protocols - A sense of creativity and willingness to ask difficult questions about our approach, assumptions, and tooling choices 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).

Задачи: — Разработка инфраструктуры для сбора и обработки финансовых данных — Интеграция ML-моделей в торговые системы — Backend-разработка на Python (Django) — Взаимодействие с ML-инженерами, аналитиками и frontend-командой — Масштабирование и повышение надежности систем Требования: — 5+ лет опыта в software engineering — 3+ года опыта в разработке высоконагруженной инфраструктуры — Отличное понимание алгоритмов, структур данных и архитектуры систем — Опыт оптимизации производительности, масштабируемости и стабильности — Bachelor в CS / Engineering / Math или смежной области — Будет плюсом: Master’s / PhD — Опыт технического лидерства или менторства Условия: — Полный remote, с возможной релокацией в будущем (Лимассол, Кипр или Цуг, Швейцария) — Конкурентная компенсация — Работа напрямую влияющая на торговую прибыль фонда

150 000 – 200 000 $

Location: San Francisco; Toronto; New York; Montreal; Seattle 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. THE ROLE We are looking for Software Engineers to join our team. This is a specialized, high-impact role sitting at the intersection of high-performance computing (HPC) and Large Language Model (LLM) engineering. You will not just be building the automated "speedometer and diagnostic" suite for our next-generation AI infrastructure; you will be defining the roadmap, driving key technical decisions, and taking full ownership of the future of this work. RESPONSIBILITIES - Benchmarking: Evaluate, run and automate standard LLM quality benchmarks (GSM8K, MMLU) alongside custom performance suites for specific workloads (e.g., long-context window, KV cache reuse, disaggregated serving). - DevEx Improvement: Develop and maintain internal GPU-enabled development environments (similar to GitHub Codespaces). You will ensure the team has seamless, high-performance "dev machines" optimized for model experimentation. - Tool Development: Build and contribute to open-source tools such as InferenceMAX and genai-bench to automate model evaluation, benchmarking and analysis. - System Profiling: Use profilers like PyTorch Profiler, NVIDIA Nsight Systems and py-spy to collect performance profiles, identify bottlenecks, and debug the compute/networking stack. - Monitoring & Observability: Develop real-time dashboards and alerts to monitor system health, model startup times, and runtime performance. - Continuous Integration: Automate performance testing via CI/CD pipelines to catch regressions and build release workflow automation for the model runtimes stack. - Optimization Automation: Build tools to find the "Pareto frontier"—identifying the absolute best configuration (latency vs. cost vs. quality) for a given model and workload. REQUIREMENTS This is a mid-senior, high leverage role. We care about your technical depth, strong communication skills to drive cross-team efforts, ability to navigate vague requirements and mentor other engineers. We want to talk to you if you have: - A Love for Systems & Hardware: You aren’t just interested in the AI; you want to understand GPU memory subsystems, InfiniBand, and how data moves across a cluster. - An Automation Mindset: You believe that if a task has to be done twice, it should be scripted. You have a passion for stress-testing and fuzzy testing to find the "breaking point" of a system. - Mathematical Curiosity: A desire to understand the underlying math of Transformers and how it translates into FLOPs and memory requirements. - Technical Toolkit: Familiarity with Python, and an eagerness to master the NVIDIA software stack. C++ familiarity is good to have. WHY THIS ROLE - Direct Impact: Your tools will be the gatekeeper for what defines "good" performance for our customers. - Deep Learning (Literally): You will gain world-class expertise in GPU orchestration and LLM inference that few engineers in the industry possess. - High Ownership: As the lead of a small team, you will have the autonomy to build tools from scratch and contribute to open-source projects. 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: Home based - EMEA Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. As a pioneer global remote-first tech company with a product that inspires people globally, we attract a huge number of applicants to our organisation. We have created a hiring process that is totally unique empowering our business based Hiring Leadership team to lead talent selection. Our Talent Science team ensures that our processes are effective and that the business is able to hire high performing talent. This is an exceptional opportunity to join a team that is changing the way an organisation hires connecting performance outcomes to hiring. Our Talent Science team has a mission to ensure that we follow objective, scientifically rigorous and efficient processes to select the very best new colleagues regardless of location, culture or background. We work closely with our key stakeholders to ensure that decisions are being made in the right way and that our hiring model supports the section of world class talent. Our team works closely with the business to oversee the hiring process and encourage best practice whilst offering an expert viewpoint on talent assessments. We are not recruiters;  it's about the science of talent and performance, raising awareness and offering deep analytical insights across the business to enable them to select the best talent available from our global talent pool. We have a brand new opportunity for a Talent Scientist in the team who will lead on teaching our senior executives how to source senior talent. Your key skills will be: Experience of identifying and approaching senior leadership talent from either a professional search firm or from an in-house search function, working within the Technology industry. Excellent knowledge tools used to identify future talent including market mapping. Strong analytical problem solving ability to identify trends and patterns from data, with SQL or Python. Location: EMEA - Home based The role entails Developing a search strategy for our business, ensuring processes enable headhunted talent to move smoothly through the pipeline. Coaching our senior leadership teams to drive hiring outcomes, enabling them to become expert at approaching and attracting exceptional talent for their management and leadership positions. Driving talent analytics to provide our business with real-time insight, using SQL or Python to identify trends in data. Conducting in-depth behavioural talent interviews providing considerable insights into motivations and behaviours. Building key relationships with global stakeholders to ensure we deliver against our hiring agenda, closely monitoring hiring activities, driving results and ensuring that there is consistency in our operational processes Seeking continuous improvement on hiring processes and outcomes. Bringing a passion for diversity and inclusion, ensuring we remove unconscious bias from our hiring process and ensuring our sourcing strategy underpins this. What we are looking for in you Professional experience of headhunting from a reputable executive search firm or in-house search function, with an informed opinion of strategies and experience of successfully sourcing senior talent in the Technology industry. Exposure or appreciation of psychometric assessments. Strong analytical problem solving ability to identify trends and patterns from data using SQL or Python, with proficiency in LinkedIn talent modules.. Experience of conducting behavioural, competency based interviews with the ability to train stakeholders and advise on how to get the best out of an interview. An exceptional academic background including a Bachelors or Masters degree in a Psychology or people based subject and a good level of Maths from High School. A high level of personal organisation to work remotely and be effective. Willingness to travel to company events 2-4 times a year, for up to two weeks each. Other skills you may bring Experience of more advanced analytical and statistical analysis to interrogate data. Exposure to the following tools: Greenhouse ATS, Thomas International and DISC profiling. Psychometric validity and reliability metrics. What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Office Based - Taipei, Taiwan Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. We are hiring a Project Manager - Ubuntu Embedded Systems at Canonical As a project manager for Canonical’s Devices business, this role is responsible for the coordination and completion of large complex customer-facing projects, overseeing all aspects of project delivery and acting as the primary delivery liaison between Canonical's engineering teams and Canonical's customers. You will be managing the projects that involve the delivery of Ubuntu images on a wide variety of devices ranging from robots, edge gateways, and IoT devices to PCs and automotive systems. This is a high-profile project management position where you are expected to build and maintain working relationships with team members, customers, other partners/vendors (Silicon vendors, OEMs, ODMs, IHVs), and other Canonical departments/teams. Location: This role will be office based in Taipei, Taiwan The role entails Managing projects through their complete life cycle and ensuring that the overall goals for both Canonical and the client are met Successfully delivering engineering professional services for assigned projects Working with engineering teams on custom board enablement and delivery of Ubuntu images to the customers Assisting in the development of project statements of work Drafting and maintaining project-specific schedules/project plans Obtaining client agreement to the project schedule and agreed-upon work items Ensuring projects are delivered within the time/resources/scope expectations Managing project risk mitigation and plans Driving technical issues to reach desired delivery outcomes Maintaining daily and weekly communication with the client and all internal stakeholders Managing delivery schedule of critical third-party deliverables for the project Keeping management informed of the status of assigned projects Identify custom engineering requests that are not part of an existing business contract Advocating for the appropriate technologies from Canonical's product portfolio to customers Supporting different time zones and work non-traditional hours as required to support the assigned projects What we are looking for in you Solid project management experience in delivering engineering services to customers managing software development teams and field engineers Extensive experience successfully managing projects with cross-cultural and multi-continent internal and external project resources, preferably with resources in Asia, Europe, and the Americas Educational degree preferably in Science, Technology, Engineering, or Math Good knowledge of Linux and the wider Open Source Software community, and understanding of computer architecture Excellent communications skills, both verbal and written, in English Strong leader and problem solver with extensive experience building successful internal and external partnerships and effective working relationships with demanding project sponsors in complex organizational environments PMP/PMI or PRINCE2 Practitioner Certification preferred Ability to work non-standard work hours in support of a worldwide sales and project team Willingness to travel up to 4 times a year for internal events What we offer you We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ Working at Canonical is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Home Based - APAC Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. We are hiring a Project Manager - Ubuntu Embedded Systems at Canonical As a project manager for Canonical’s Devices business, this role is responsible for the coordination and completion of large complex customer-facing projects, overseeing all aspects of project delivery and acting as the primary delivery liaison between Canonical's engineering teams and Canonical's customers. You will be managing the projects that involve the delivery of Ubuntu images on a wide variety of devices ranging from robots, edge gateways, and IoT devices to PCs and automotive systems. This is a high-profile project management position where you are expected to build and maintain working relationships with team members, customers, other partners/vendors (Silicon vendors, OEMs, ODMs, IHVs), and other Canonical departments/teams. Location: This role will be based remotely in the APAC region The role entails Managing projects through their complete life cycle and ensuring that the overall goals for both Canonical and the client are met Successfully delivering engineering professional services for assigned projects Working with engineering teams on custom board enablement and delivery of Ubuntu images to the customers Assisting in the development of project statements of work Drafting and maintaining project-specific schedules/project plans Obtaining client agreement to the project schedule and agreed-upon work items Ensuring projects are delivered within the time/resources/scope expectations Managing project risk mitigation and plans Driving technical issues to reach desired delivery outcomes Maintaining daily and weekly communication with the client and all internal stakeholders Managing delivery schedule of critical third-party deliverables for the project Keeping management informed of the status of assigned projects Identify custom engineering requests that are not part of an existing business contract Advocating for the appropriate technologies from Canonical's product portfolio to customers Supporting different time zones and work non-traditional hours as required to support the assigned projects What we are looking for in you Solid project management experience in delivering engineering services to customers managing software development teams and field engineers Extensive experience successfully managing projects with cross-cultural and multi-continent internal and external project resources, preferably with resources in Asia, Europe, and the Americas Educational degree preferably in Science, Technology, Engineering, or Math Good knowledge of Linux and the wider Open Source Software community, and understanding of computer architecture Excellent communications skills, both verbal and written, in English Strong leader and problem solver with extensive experience building successful internal and external partnerships and effective working relationships with demanding project sponsors in complex organizational environments PMP/PMI or PRINCE2 Practitioner Certification preferred Ability to work non-standard work hours in support of a worldwide sales and project team Willingness to travel up to 4 times a year for internal events What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Team Member Assistance Program & Wellness Platform Opportunity to travel to new locations to meet colleagues Priority Pass and travel upgrades for long-haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004.​ Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote