Ключевая миссия CTO:
- Построение AI Native Engineering Organization;
- Внедрение AI PDLC как основного процесса разработки;
- Организация работы автономных Tiny Teams;
- Создание культуры постоянных экспериментов и быстрого вывода гипотез в продукт;
- Широкое использование AI для автоматизации инженерной деятельности;
- Сокращение времени прохождения полного цикла Idea → Prototype → MVP → Production;
- Формирование инженерной культуры, где скорость обучения и внедрения инноваций становится ключевым конкурентным преимуществом.
Задачи:
- Определять и реализовывать технологическую стратегию направления совместно с Product Lead и бизнесом;
- Отвечать за разработку и развитие ключевых продуктов направления: мобильного приложения нового поколения, AI-помощника, платформы персонализированного риск-профиля и интеллектуальных сервисов повышения качества и продолжительности жизни;
- Формировать AI Native инженерную организацию, обеспечивающую высокую скорость вывода новых продуктов и функций;
- Внедрять современные практики AI PDLC на всех этапах жизненного цикла AI-продуктов — от идеи и исследований до промышленной эксплуатации;
- Организовывать эффективный процесс исследований (R&D), быстрого прототипирования и проверки продуктовых гипотез;
- Руководить несколькими автономными инженерными командами (Tiny Teams), обеспечивая их высокую эффективность и ответственность за конечный результат;
- Развивать практики агентной разработки (Agentic AI), AI Coding и использования AI-инструментов для автоматизации инженерной деятельности;
- Формировать масштабируемую архитектуру AI-first продуктов, обеспечивающую быстрое внедрение новых моделей, сервисов и пользовательских сценариев;
- Управлять архитектурой решений, техническим долгом и технологическими рисками;
- Обеспечивать надежность, масштабируемость, наблюдаемость и безопасность сервисов промышленного уровня;
- Развивать инженерную культуру, основанную на автоматизации, непрерывном обучении, экспериментах и постоянном улучшении процессов;
- Формировать технологический roadmap направления и обеспечивать достижение бизнес- и продуктовых целей.
Требования:
- Опыт руководства несколькими инженерными командами разработки от 2 лет;
- Опыт создания и развития современных цифровых продуктов с высокой скоростью поставки изменений;
- Опыт формирования и реализации технологической стратегии продукта;
- Практический опыт построения архитектуры мобильных и backend-продуктов промышленного уровня;
- Опыт управления архитектурой, качеством разработки и техническим долгом;
- Практический опыт внедрения AI PDLC или аналогичных процессов разработки AI-продуктов;
- Глубокое понимание жизненного цикла AI-продуктов: Data → Prompt → Model → Evaluation → Production → Monitoring → Continuous Improvement;
- Понимание современных подходов к разработке LLM-приложений, Agentic AI, Multi-Agent Systems, Tool Calling, MCP, Workflow Orchestration и Retrieval-Augmented Generation (RAG);
- Практический опыт применения современных AI-инструментов разработки (Cursor, Claude Code, GitHub Copilot и др.);
- Опыт построения процессов R&D, быстрого прототипирования и проверки продуктовых гипотез;
- Опыт организации работы автономных инженерных команд (Tiny Teams);
- Опыт разработки мобильных приложений и высоконагруженных backend-сервисов;
- Понимание принципов построения персонализированных цифровых сервисов и работы с пользовательскими данными;
- Понимание современных практик DevSecOps, CI/CD, Observability и Platform Engineering;
- Опыт эффективного взаимодействия с продуктовой командой и бизнесом.
Преимущества:
- Опыт создания AI-first продуктов на базе современных LLM;
- Опыт построения агентных платформ или мультиагентных систем;
- Опыт внедрения AI Native Engineering в инженерной организации;
- Опыт организации процессов AI Quality Engineering, Continuous Evaluation и AI Observability;
- Опыт создания персонализированных рекомендательных систем;
- Опыт разработки AI Copilot, AI Assistant или AI Agent продуктов;
- Опыт работы в MedTech, HealthTech, Digital Health или Wellness;
- Опыт создания мобильных consumer-продуктов с высокой ежедневной активностью пользователей (DAU/MAU);
- Понимание современных подходов Product Discovery, Experiment Driven Development и Lean Startup.
Условия:
- Формат: гибридный (от 2-х дней в неделю, м. Технопарк);
- Бесплатный доступ к телемедицине и очным приемам в частных клиниках (включая стоматологию и сессии с психологами);
- Условия ипотечного кредитования от Сбербанка;
- Индивидуальный план развития;
- Обучение английскому языку с корпоративным преподавателем, скидки на курсы в Skyeng, компенсация обучения от ведущих платформ;
- Официальное оформление, стабильные выплаты, оплата больничного и отпуска, современная техника;
- Частичная компенсация спортивного абонемента, бесплатные занятия сквошем и футболом.
Location: München, Germany
Workplace: Hybrid
Finance at Rohlik is being rebuilt to run on AI. We already have agents in production that chase overdue payments, process invoices, allocate cash and clear the team's inbox. The pieces work. What we need now is one person to own the whole thing and make it deliver at scale.
ROLE OVERVIEW
This is a new role that owns how AI and automation reshape the finance operating model across the Group. You will take a programme that is already live across procure to pay, order to cash and our shared services centre, and turn it from a set of promising experiments into the way finance actually runs.
You report to the Group CFO. You inherit a small team and a live roadmap, and you own the result. You decide what gets automated first, you build and ship with AI tools when that is the fastest way, and you hold every workstream to a number.
The role is deliberately hands on. You should be close enough to the work to build an agent or connect two systems through an API with AI assistance, even though you are not a software developer. You should also be senior enough to redesign how finance works and bring the rest of the business with you.
WHY THIS ROLE IS EXCITING
- You’ll inherit a live AI programme with real agents, real data and real impact from day one — not a greenfield slide deck.
- You’ll shape how Finance actually runs across the Group as we move toward the next stage of growth — including the journey toward IPO readiness.
- You’ll have access to a top-notch AI-first tech stack and the freedom to use it pragmatically.
- You’ll work directly with the Group CFO, with fast decisions and no corporate red tape.
- Your good ideas will be implemented almost immediately — not parked in a roadmap waiting for HQ approval.
- You’ll lead a small team, but this is not a “manager from a distance” role. It’s highly hands-on, high-impact, and built for someone who wants to make things move fast.
WHAT WE EXPECT FROM YOU
- Own the AI and automation agenda across finance, from strategy through delivery to measured impact.
- Lead process redesign the right way: map and understand the as-is, then design an agentic-first to-be rather than automating the old steps.
- Lead complex cross-functional programmes across Finance, Tech and Operations, driving delivery through stakeholders and teams beyond your direct reporting line.
- Bring the live programme to its targets, with a clear owner, baseline and deadline behind every workstream.
- Redesign core finance processes around AI and agents, starting with close, reporting and forecasting.
- Build and ship yourself when it is faster, using AI assisted tools to create agents and connect systems such as NetSuite, Rossum and n8n.
- Lead and grow the team (three today) and raise AI fluency across finance and the SSC so the business can use what you build.
- Track what matters and report it straight: automation rate, close time, cash allocation speed, cost and effort taken out.
- Roll out across our five markets, balancing local reality against one Group standard.
WHAT WE LOOK FOR
You have probably spent time in strategy consulting or in a transformation role, and you are now genuinely excited by what AI can do. You are a sharp generalist who can walk into a messy process, find the real problem, and fix it. You are as comfortable in a CFO pre-read as you are in the AI first tool building the thing.
- A track record of leading transformation or automation programmes that actually delivered. A consulting, operations or generalist operator background all fit.
- Strong understanding of finance processes, ideally gained through finance transformation, operating model redesign or automation programmes.
- Hands on with AI. You can build agents and integrate APIs with AI assistance. You are not a software engineer and you do not need to be, but the tooling does not scare you.
- You set baselines, name owners, hit deadlines, and say so early when something slips.
- You can lead a small team and still do the work yourself.
- You prioritise by impact and move fast. Better done than perfect.
- You bring finance, tech and operations along with you.
- Fluent in English. other languages will be an advantage.
- Regular travel to Prague HQ required (min. 4 days per month)
WHAT WE OFFER
- Unlimited vacation days to support a healthy work-life balance
- Monthly vouchers: €45 tax-free via become.1
- €20 monthly internet allowance
- Knuspr Xtra account and 10% discount in the form of Knuspr credits / cashback
- Great discounts through Corporate Benefits – fitness, travel, tickets, shopping and much more
- Real growth: we’re not a traditional corporate.
- Knuspr vibe: an international team, flat hierarchy, and a first-name culture where mistakes are seen as opportunities to learn
Location: München, Germany; Group career pages; Jobs.cz
Workplace: Hybrid
Finance at Rohlik is being rebuilt to run on AI. We already have agents in production that chase overdue payments, process invoices, allocate cash and clear the team's inbox. The pieces work. What we need now is one person to own the whole thing and make it deliver at scale.
ROLE OVERVIEW
This is a new role that owns how AI and automation reshape the finance operating model across the Group. You will take a programme that is already live across procure to pay, order to cash and our shared services centre, and turn it from a set of promising experiments into the way finance actually runs.
You report to the Group CFO. You inherit a small team and a live roadmap, and you own the result. You decide what gets automated first, you build and ship with AI tools when that is the fastest way, and you hold every workstream to a number.
The role is deliberately hands on. You should be close enough to the work to build an agent or connect two systems through an API with AI assistance, even though you are not a software developer. You should also be senior enough to redesign how finance works and bring the rest of the business with you.
WHY THIS ROLE IS EXCITING
- You’ll inherit a live AI programme with real agents, real data and real impact from day one — not a greenfield slide deck.
- You’ll shape how Finance actually runs across the Group as we move toward the next stage of growth — including the journey toward IPO readiness.
- You’ll have access to a top-notch AI-first tech stack and the freedom to use it pragmatically.
- You’ll work directly with the Group CFO, with fast decisions and no corporate red tape.
- Your good ideas will be implemented almost immediately — not parked in a roadmap waiting for HQ approval.
- You’ll lead a small team, but this is not a “manager from a distance” role. It’s highly hands-on, high-impact, and built for someone who wants to make things move fast.
WHAT WE EXPECT FROM YOU
- Own the AI and automation agenda across finance, from strategy through delivery to measured impact.
- Lead process redesign the right way: map and understand the as-is, then design an agentic-first to-be rather than automating the old steps.
- Lead complex cross-functional programmes across Finance, Tech and Operations, driving delivery through stakeholders and teams beyond your direct reporting line.
- Bring the live programme to its targets, with a clear owner, baseline and deadline behind every workstream.
- Redesign core finance processes around AI and agents, starting with close, reporting and forecasting.
- Build and ship yourself when it is faster, using AI assisted tools to create agents and connect systems such as NetSuite, Rossum and n8n.
- Lead and grow the team (three today) and raise AI fluency across finance and the SSC so the business can use what you build.
- Track what matters and report it straight: automation rate, close time, cash allocation speed, cost and effort taken out.
- Roll out across our five markets, balancing local reality against one Group standard.
WHAT WE LOOK FOR
You have probably spent time in strategy consulting or in a transformation role, and you are now genuinely excited by what AI can do. You are a sharp generalist who can walk into a messy process, find the real problem, and fix it. You are as comfortable in a CFO pre-read as you are in the AI first tool building the thing.
- A track record of leading transformation or automation programmes that actually delivered. A consulting, operations or generalist operator background all fit.
- Strong understanding of finance processes, ideally gained through finance transformation, operating model redesign or automation programmes.
- Hands on with AI. You can build agents and integrate APIs with AI assistance. You are not a software engineer and you do not need to be, but the tooling does not scare you.
- You set baselines, name owners, hit deadlines, and say so early when something slips.
- You can lead a small team and still do the work yourself.
- You prioritise by impact and move fast. Better done than perfect.
- You bring finance, tech and operations along with you.
- Fluent in English. Czech is not required, but is an advantage.
WHAT’S IN IT FOR YOU
- Fair reward - You’ll get a strong fixed salary — no bonus games, no politics. Great work is rewarded clearly and fairly.
- Good food every day - You’ll enjoy a free lunch every day and fresh fruit & veggies in the office. Because good food fuels great work.
- Life, not just work - You’ll have real flexibility – three days in the office, 2 days Home Office where it suits you. And unlimited paid vacation based on trust.
- Personal growth - You’ll grow as fast as Rohlik does. Every challenge is a chance to learn and make an impact.
- Real impact - What you do here matters. You’ll see your work changing how people eat and live — from day one.
- Recognition among colleagues - Your effort won’t go unnoticed. You can recognise others (and be recognised) through peer credits to use in our internal cafeteria.
- Xtra membership - You’ll get free Xtra membership and 10% cashback on everything you buy on Rohlik.cz http://Rohlik.cz.
- Sport & wellbeing - You’ll stay active with company sports challenges or a subsidised Multisport card.
- A team that sticks together - You’ll work with people who move fast, support each other and celebrate wins together.
- If this sounds like you…You’re someone who takes ownership, acts fast and gets things done. Ready to bake something great with us?
Задачи:
— Владение инфраструктурой: облако, сторонние поставщики и все, что с этим связано
— Создание инструментов для повышения продуктивности разработчиков, обеспечивающих AI-first подход для всех инженерных команд
— Владение SRE и поддержкой производства, внедрение дисциплины производства в период быстрого роста и масштабирования
— Формирование команды: рост с 2 до 5-6 человек в течение трех месяцев
— Активное участие в работе команды, выполнение задач самостоятельно, а не только управление
— Постепенное развитие каждой функции в отдельную команду: инфраструктура, продуктивность разработчиков, SRE/поддержка производства
Требования:
— Минимум 2 года опыта в роли линейного менеджера с непосредственным управлением командами из 6-10 человек или готовность к такому росту
— Практический опыт работы с AWS или GCP и сильные навыки устранения неполадок в базах данных
— Опыт работы с масштабами порядка миллиона запросов в минуту
— Умение устранять неполадки в базах данных, сетях, вычислениях, Docker, Kubernetes и других аспектах инфраструктуры
— Забота о продуктивности разработчиков и AI-инструментах наравне с инфраструктурой
— Знание практик on-call, SLA, SLO и SRE
— Желание оставаться hands-on и развиваться в полноценного менеджера со временем
Желательно:
— Наличие собственной сети для найма или комфортная работа с рекрутерами
— Опыт создания инструментов продуктивности разработчиков и AI-харнесов для инженерных команд
— Опыт построения команды с нуля
— Опыт работы в стартапах, особенно в период гиперроста
Условия:
— Зарплата $225,000–$275,000 в год
— Локация: Сан-Франциско, офис, требуется проживание или готовность к переезду
— График: понедельник–пятница, полный рабочий день в офисе
— Бенефиты: транспортные льготы Uber, питание (завтрак, обед, ужин), закуски, напитки, кофе, бесплатный абонемент в спортзал, медицинская, стоматологическая и офтальмологическая страховка
Процесс найма:
— Скрининг с менеджером по найму (30 минут видео)
— Технический скрининг (60 минут удаленно): глубокое обсуждение проекта и системный дизайн
— Super Day на месте: встреча с командой, участие в операциях, выполнение реальной работы вместе с командой
Задачи:
• искать и реализовывать гипотезы роста на стыке продукта и маркетинга;
• улучшать onboarding, paywall, conversion-механики и продуктовые воронки;
• тестировать GTM гипотезы: новые гео, лендинги, каналы и модели привлечения;
• запускать продуктовые механики, влияющие на acquisition, retention и revenue;
• самостоятельно работать с аналитикой и оценивать влияние решений на P&L;
• вести задачи от гипотезы до релиза и оценки результата;
• решать операционные и интеграционные задачи, если они критичны для роста продукта;
Требования:
• опыт на уровне Middle+, Senior, Lead в Product/Growth/Product Marketing или смежных ролях;
• хорошее понимание воронок, acquisition и monetization;
• ориентация на бизнес-результат, а не на процесс;
• высокая самостоятельность и готовность работать руками;
• способность быстро принимать решения в условиях меняющихся приоритетов;
• умение самостоятельно работать с данными и метриками;
• опыт запуска новых продуктов, направлений или собственных проектов будет плюсом;
• AI-first подход: эффективное использование Claude, AI-агентов и других инструментов как часть ежедневной работы;
• английский B2+.
Условия:
• много свободы и прямое влияние на результат;
• возможность поработать c разными рынками и продуктом на ранней стадии;
• отсутствие бюрократии и долгих согласований;
• работа в сильной команде с выходцами из Google, Rask.ai, Chatfuel;
• full-time, remote.
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations: Lisbon, Portugal or Austin, US
About the role
Cloudflare is scaling one of the largest global networks on the Internet, and capacity planning is what keeps that growth ahead of demand. As an Infrastructure Network & Supply Planner on our Infrastructure Capacity Planning team you'll build the products, tools, and AI agents that turn growth and demand forecasts into scalable, execution-ready infrastructure expansions, ensuring the right capacity is in the right place, at the right time and cost, in the shortest time possible.
You'll design and ship internal products — forecasting models, planning systems, dashboards, and automated workflows — that make end-to-end infrastructure readiness faster, cheaper, and more reliable at global scale
You'll refine and create new AI agents to model demand into supply, network, and capacity scenarios and surface risks early, producing force multipliers that let planners see the whole system and act quickly — shifting time from reactive task-processing to proactive strategy, and scaling impact. You'll partner across planning, operations, procurement, logistics, engineering, and finance to keep Cloudflare's global deployments moving smoothly.
What you'll do
I
nfrastructure Capacity & Expansion Planning
Translate demand forecasts into infrastructure capacity plans that support business growth, aligning hardware deployments with performance, cost, and timeline targets.
Ensure infrastructure readiness across space, power, connectivity, and hardware availability, identifying capacity constraints early and coordinating mitigation.
Deployment Planning & Execution Coordination
Build quarterly and weekly deployment plans that are realistic, balanced, and optimized for execution efficiency across operations, logistics, integration partners, and engineering teams.
Track progress, resolve blockers, and maintain deployment momentum across the global fleet.
Supply, Inventory & Lifecycle Readiness
Partner with Procurement and Data Center teams to ensure hardware and resources are available at the right time and locations, and manage inventory to balance availability, cost efficiency, and operational risk.
Support hardware refresh and asset lifecycle planning, and align infrastructure investments with budget and growth plans alongside Finance.
AI-First Products, Automation & Continuous Improvement
Design, build, and ship internal products — forecasting models, dashboards, planning systems, and automated workflows — using AI/agentic tooling to structure messy data, run scenario analyses, and improve planning accuracy.
Identify high-leverage opportunities to automate repetitive work, introduce new tools and methodologies, and continuously improve how planning and deployment operate at scale.
Cross-Functional Collaboration
Act as a central layer across planning, operations, engineering, logistics, procurement, and finance to keep Cloudflare's global deployments moving smoothly.
Desirable Skills, Knowledge, and Experience:
Experience in capacity planning, infrastructure planning, production/operations planning, supply planning, or a related technical planning role.
Strong analytical and problem-solving skills, with experience across complex operational systems and managing multiple priorities in fast-paced environments.
Hands-on experience building tools, automation, or internal products
Fluency with AI tools in daily work, and a genuine appetite to use and create AI/agentic tooling to scale decision-making and eliminate manual toil.
Excellent communication and stakeholder-management skills.
Compensation
Compensation may be adjusted depending on work location.
For Portugal based hires: Estimated annual salary of €36,000-50,000.
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
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or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: United States (Remote)
Workplace: Remote
ABOUT ONEPAY
OnePay is the consumer fintech trusted by millions of Americans to make money better.
Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast.
We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers.
We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining.
But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are:
- Ready to run
- Hungry and driven by urgency
- Exceptional at what they do, with low ego
- Comfortable operating in motion
THE ROLE
As a Platform Engineer (AI & Automation) at OnePay, you are the technical force responsible for transforming AI strategy into production reality. You will embed within cross-functional teams to design, build, and deploy the agentic systems and intelligent tooling that automate complex workflows and 10X their impact.
WHAT YOU’LL DO
- Operate as an AI-native engineer, utilizing tools like Cursor and Claude Code to rapidly prototype, deploy, and ship production-grade AI agents and automation workflows that solve high-stakes business problems in cross-functional organizations.
- Lead structured discovery sessions with business stakeholders and Subject Matter Experts to surface requirements, assess feasibility, and translate manual processes into clear, performant technical specifications and agentic architectures.
- Build, maintain, and secure robust integrations between the core SaaS stack and custom AI services, instrumenting monitoring, guardrails, and evaluation frameworks to ensure all AI-driven workflows are accurate, compliant (including PII handling and audit logging), and resilient at scale.
- Act as a technical force multiplier by empowering and educating internal partners to adopt AI-first mindsets, and create reusable playbooks, architecture decision records, and handoff documentation to enable teams to maintain and extend what you build.
YOU BRING
- 5+ years of professional engineering experience shipping production code to write clean, maintainable, and well-tested code.
- Hands-on expertise with modern AI tooling, including LLM APIs, agent frameworks (LangGraph, Claude SDK), developer tools (Cursor/Claude Code), MCP server development, and familiarity with LLM evaluation techniques (prompt regression testing, human-in-the-loop review, and automated eval pipelines).
- Systems integration experience, including a working knowledge of REST APIs, data pipelines (SQL), and cloud infrastructure (GCP/AWS).
- A "Product Mindset"—proactively finding friction points, designing solutions, and presenting trade-offs to all audiences—along with the drive and proactivity to "walk across org lines" to get things done.
TOOLS WE USE
We use Typescript front to back, with node and NestJS frameworks for server code and React Native for our iOS, Android, and Web clients. We run on a highly distributed cloud-native stack with Kubernetes and AWS, and scale and resiliency are at the heart of everything we build. We also embrace agentic development, so engineers have their choice of a variety of models and agent harnesses, including Claude Code, Cursor, Codex, and more to fit their workflow. While you don't need experience with our exact stack, familiarity with modern software engineering practices will help you ramp up quickly.
WHAT WE OFFER
- Competitive base salary, stock options, and health benefits from Day 1
- 401(k) plan with company match
- Remote-friendly (US), flexible time off (FTO), and opportunities for growth
- A high-growth, mission-driven, inclusive culture where your work has real impact
STANDARD INTERVIEW PROCESS
Our process varies by role. Most candidates go through:
- AI-assisted initial screen
- Interview with Talent Partner
- Technical or Hiring Manager Interview
- Team Interview
- Executive Interview
- Offer!
EQUAL EMPLOYMENT OPPORTUNITY
To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.
Location: Remote in the United States
Workplace: Remote
At Sanity.io http://Sanity.io, we’re building the future of AI-powered Content Operations. Our AI Content Operating System gives teams the freedom to model, create, and automate content the way their business works, accelerating digital development and supercharging content operations efficiency. Companies like SKIMS, Figma, Riot Games, Anthropic, COMPLEX, Nordstrom, and Morningbrew are using Sanity to power and automate their content operations.
Sanity is scaling its Sales team, and enablement is how we get new sellers productive faster and make the sellers we already have better. As Director, Sales Enablement, you'll own the function end to end: onboarding and ramp, ongoing skills development, the methodology we sell with, and the measurement that shows whether any of it worked. You will take an AI-first mindset to build and maintain a modern Enablement system. This is a strategic leadership role with a hands-on mandate. You’ll set the enablement strategy, build the programs and operating model behind it, and stay close to the work to ensure what we build translates into seller performance. As the function continues to scale, you’ll build the capabilities and capacity needed to deliver enablement effectively across the organization.
WHAT YOU WOULD DO:
- Build an AI-first enablement strategy
- The Sanity Enablement program is built on Sanity. You will become an expert in leveraging Sanity AI capabilities to maintain and build a world class enablement system.
- Using AI and automation, you will build real time context aware Agents that deliver exact buyer content, objection-handling scripts, and competitive insights reps need directly inside their workflow.
- Diagnose the capabilities the Sales organization needs to strengthen and identify the highest-priority gaps.
- Use performance data and partnership with Sales leadership to determine where enablement can have the greatest impact and translate into a quarterly enablement roadmap.
- Own onboarding and ramp
- Own the new hire onboarding and ramp strategy end to end, from day one through the first pipeline and first closed deal.
- Design milestone-based ramp plans with clear certification criteria and measures of seller readiness.
- Build and scale ongoing enablement
- Build an automated, scalable approach to all enablement that reduces reliance on live, Director-led delivery over time.
- Own reinforcement, certification and refresh, including product launches, pricing changes and process rollouts.
- Own the playbooks, battlecards and talk tracks sellers actually use, built for a technical buyer.
- Partner with Product Marketing and Product so what we teach matches current messaging and where the product is going.
- Own the sales methodology
- Own adoption of and adherence of MEDDPICC and our qualification framework.
- Own the process work that makes selling repeatable, including stage definitions, deal inspection and win/loss.
- Enable managers, not just sellers
- Build the coaching guides, call review frameworks and manager toolkits that let front line leaders reinforce skills day to day.
- Make coaching a habit across the sales org rather than an event.
- Prove it works
- Define the metrics enablement is accountable for, including ramp time, win rate, quota attainment and pipeline generated, and build the reporting behind them with RevOps.
- Make seller ramp time a primary measure of enablement effectiveness, alongside broader seller performance outcomes.
- Lead the team
- Lead a small team covering instructional design, outbound enablement and technical enablement.
- Develop the team and create clear ownership and accountability across enablement programs and priorities.
ABOUT YOU:
- Based in: [OPEN - North America / Europe]
- 8+ years in sales or revenue enablement at a B2B SaaS company, including 3+ years leading an enablement team.
- Direct experience with building AI workflows and Agents to automate and eliminate manual work with demonstrated efficiency results.
- Direct experience with Gong and to gain deep insights into opportunities. Use AI workflows based on Gong data.
- You've built an enablement function, not only run programs inside one
- A strong facilitator with real presence. You can run a bootcamp, a skills workshop and a deal review, and have sellers take you seriously
- Fluency in a qualification framework such as MEDDPICC and Command of the Message, and a view on when methodology helps and when it gets in the way
- Comfortable in the performance data, and able to tie a program to a number rather than to attendance
- Hands-on with the enablement stack: LMS, content management, conversation intelligence such as Gong, and Salesforce
- You've partnered with Sales leadership as a peer and pushed back when the diagnosis said something different from the request
- A track record of improving ramp time, win rate and quota attainment
- Bonus: experience enabling teams that sell to developer or technical buyers, and prior quota-carrying experience
WHAT WE CAN OFFER:
- A highly-skilled, inspiring, and supportive team
- Positive, flexible, and trust-based work environment that encourages long-term professional and personal growth
- A global, multi-culturally diverse group of colleagues and customers
- Comprehensive health plans and perks
- A healthy work-life balance that accommodates individual and family needs
- Competitive stock options program and location-based salary
WHO WE ARE:
Sanity.io http://Sanity.io is a modern, flexible content operating system that replaces rigid legacy content management systems. One of our big differentiators is treating content as data so that it can be stored in a single source of truth, but seamlessly adapted and personalized for any channel without extra effort. Forward-thinking companies choose Sanity because they can create tailored content authoring experiences, customized workflows, and content models that reflect their business.
Sanity recently raised an $85m Series C led by GP Bullhound and is also backed by leading investors like ICONIQ Growth, Threshold Ventures, Heavybit and Shopify, as well as founders of companies like Vercel, WPEngine, Twitter, Mux, Netlify and Heroku. This funding round has put Sanity in a strong position for accelerated growth in the coming years.
You can only build a great company with a great culture. Sanity is a 300+ person company with highly committed and ambitious people. We are pioneers, we exist for our customers, we are hel ved, and we love type two fun! Read more about our values here! https://www.sanity.io/blog/our-sanity-values
Sanity.io http://Sanity.io pledges to be an organization that reflects the globally diverse audience that our product serves. We believe that in addition to hiring the best talent, a diversity of perspectives, ideas, and cultures leads to the creation of better products and services. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, or gender identity.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Salesforce Developer at Anthropic, you will design, build, and maintain the Salesforce platform that powers our core customer motions and quote-to-cash business.: This includes automation throughout the Salesforce platform ranging from core sales automation to product catalog and pricing, quoting and approvals, order and contract management, and the handoff to billing and provisioning. You'll work both autonomously and collaboratively across RevOps, Order Management, Legal, Billing Engineering, Deal Desk, Finance and Accounting, and Product to translate pricing and packaging requirements into scalable Apex, Flow, and integration solutions, and to extend our capabilities with custom code where necessary. We are an AI-first systems team, and you'll be expected to use Claude and our in-house AI development tooling as a core part of how you write, review, and ship code, always against our house standards for flexibility, maintainability, and scale.
Where you might sit
We're hiring across more than one team. Placement depends on your background and where you can have the most impact.
GTM Systems:
Builds and runs the Salesforce platform and connected tools that Anthropic's sellers, sales leaders, and revenue operations teams rely on every day. You'd build the automation behind how deals move through the pipeline, how leads and accounts reach the right owner, and how information flows between our sales tools and the rest of the business. You'll work directly with the analysts and operators who define the process, and see the impact on the people who use what you ship.
QTC Experiences:
A vertically integrated team that spans quoting through to provisioning agreements, as well as customer billing experiences over the term of their agreement. You'd build the foundational systems for CPQ, order management, provisioning and billing experiences, envisioning how we make our sellers and ops teams orders of magnitude more efficient with Claude. You'll work cross-functionally with GTM, finance, accounting and other stakeholders. Your work will directly impact seller velocity and our GTM deal making capacity.
Key responsibilities
Develop and maintain Apex (triggers, services, selectors, batch/queueable), Lightning Web Components, and Flow automation following our house Apex standards and trigger framework
Design and build quote-to-cash infrastructure in Salesforce, including the product catalog and pricing data model, quote and order lifecycle, discount and approval automation, and amendment, renewal, and co-termination flows
Extend CPQ and expand into agentic selling with custom pricing and quote-calculation logic, quote and order user experiences, and code built against the package's APIs and data model
Build and own integrations between Salesforce and our billing, provisioning, and finance systems, such as Stripe, Metronome, and NetSuite, directly or via middleware
Support new product and pricing launches by modeling catalog, SKU, and pricing changes so they can be released quickly and reflected consistently in every downstream system
Use Claude and our internal AI development tooling as a first-class part of your build and code-review workflow
Partner with Business Systems analysts and Finance to ensure data-model decisions support downstream bookings, forecasting, and revenue reporting
Partner with DevOps on release management for your work: sandbox strategy, source control, peer review, and deployment via SFDX/metadata tooling
Ensure appropriate controls, test coverage, and documentation are in place for an effective control environment, particularly around pricing, discounting, and contract changes
Operate with ambiguity in a rapidly changing business, resolve problems independently, and propose solutions that scale
Minimum qualifications
Hands-on Salesforce development experience (Apex, SOQL, LWC, Flow) in a production org
Experience building or extending CPQ and quote-to-cash functionality in Salesforce (Salesforce CPQ, Revenue Cloud, Nue, or similar): product and pricing data models, quote and order lifecycle, approval automation, and amendments and renewals, including custom code written against the CPQ package rather than configuration alone
Experience integrating Salesforce with billing, ERP, or provisioning systems via REST/Bulk APIs, middleware (Workato, Mulesoft, or similar), or direct callouts
Fluency with SFDX, source-controlled metadata, and a sandbox-to-prod release process with peer review
Active use of AI-assisted development tools (Claude, Copilot, Cursor, or similar) as part of how you write and review code, and the ability to speak to how you steer and verify their output
Basic SQL skills and comfort working alongside a data warehouse
Effective communication with sales, deal desk, finance and accounting, product, and engineering stakeholders
Preferred qualifications
Salesforce Platform Developer I and II certifications
Advanced Administrator or Application/System Architect certification
Deep understanding of Salesforce platform constraints: governor limits, bulkification, sharing and visibility, recursion control, and how they surface in CPQ-specific situations such as large quotes, calculation performance, and bulk amendments
Experience implementing a CPQ solution end to end or re-platforming from one CPQ to another, not just maintaining an existing one
Experience with billing and finance platforms such as Stripe, Metronome, or Oracle, and with usage-based or consumption pricing models
Working understanding of how CPQ design decisions flow through to bookings, invoicing, and revenue recognition
Proven experience scaling Salesforce in a high-growth GTM environment
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$270,000
—
$315,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Join Anthropic as a Customer Success Manager for Life Sciences. You’ll be a strategic partner and trusted advisor to leading organizations working to accelerate scientific discovery, such as research institutes, academic medical centers, and scientific foundations. You’ll help these organizations harness the full potential of Claude through deep product expertise, use case discovery, and hands-on guidance.
You’ll be part of a Research and Life Sciences account team pod, working as one team with your Account Executive and Applied AI partners. Together you’ll shape account strategy with you taking the lead on adoption, change management, and value realization.
This role doesn’t follow a single playbook. You’ll run a range of Customer Success motions, from deep 1:1 strategic partnership to one-to-many programs like webinars, hackathons, and cohort-based enablement. You’ll choose the motion based on top account and customer priorities and the best way to solve for them.
The insights you gather will directly inform our research priorities, product development (including how Claude for Life Sciences evolves), and strategies for beneficial AI deployment. That makes you a key voice in how we build and deliver AI systems that accelerate science for the benefit of society.
Responsibilities
Build trusting, strategic relationships with research leaders, scientists, principal investigators, and program directors to understand their scientific priorities, organizational goals, and impact objectives
Partner closely with your Account Executive and Applied AI counterparts in the Research and Life Sciences pod on shared account plans, bringing in Product, Support, and other teams as needed
Run the right Customer Success motion for each account and customer priority, whether that’s dedicated 1:1 engagement, cohort-based onboarding, hackathons and build days, office hours, or researcher communities
Become an expert in Anthropic’s products, especially Claude for Science, guiding organizations and their researchers and scientists to the right solutions and most impactful use cases
Monitor usage patterns and proactively drive adoption, identifying optimization opportunities and new applications for Claude across your book of business
Develop and execute change management strategies suited to scientific and academic cultures, including Train the Trainer programs, Center of Excellence development, and enablement that respects partner capacity, governance requirements, and decision-making processes
Guide partners through the technical and governance foundation for launch, including SSO and provisioning, workspace configuration, and data handling considerations for research and health data (such as HIPAA, IRB, and institutional data policies)
Own account and success plans and run Quarterly Impact Reviews that document and quantify value realized, such as research productivity, time-to-insight, and cost savings, and partner with Marketing on success stories and reference accounts
Establish the repeatable playbooks, templates, and health metrics that define what “great” looks like for customer success in life sciences at Anthropic
You may be a good fit if you have
6+ years of experience in Customer Success, Technical Account Management, Solutions Engineering, or consulting
3+ years of experience in life sciences research, with exposure to new technologies as a catalyst for accelerating progress
Experience working directly with life sciences organizations, such as academic research institutions, research institutes, foundations, biotech, or pharma, and familiarity with how scientific research is conducted, funded, and governed
An understanding of the regulatory, risk, and compliance needs of the industry
Experience driving success across both consumption-based and seat-based business models, with an understanding of the expansion levers and success metrics for each
Experience managing dedicated strategic accounts and delivering one-to-many programs, with the judgment to choose the right motion for the customer priority at hand
Strong cross-functional collaboration skills, including working as part of an account team with Sales and technical partners and advocating effectively for customer needs
Technical fluency in AI/ML concepts, API integrations, and software implementation patterns, and the ability to explain them to audiences ranging from bench scientists and computational researchers to institutional leadership. Familiarity with scientific data types, research workflows, or bioinformatics tooling is a strong plus
A data-driven, AI-first way of working, using adoption signals to guide decisions and building Claude-powered workflows into how you engage partners
Passion for both AI and accelerating scientific progress, with a strong interest in ensuring frontier AI systems are developed safely, ethically, and deployed to benefit society
A knack for bringing order to chaos and an enthusiastic “roll up your sleeves” mentality. You are a true team player
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$200,000
—
$265,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We launch new products, models and pricing often, and each launch has to work in our systems on day one. A seller needs to be able to quote it, Deal Desk needs to be able to approve it, billing needs to charge for it correctly, and Finance needs to report on it. This role owns how a launch gets into our quote-to-cash systems, from the first pricing conversation to the first invoice.
We are looking for someone who treats every launch as a change across many systems. You will join launch planning early, work out what has to change across catalog, quoting, contracts, billing, tax and reporting, and get all of it ready before the launch date. You will build a good part of the Salesforce work yourself and partner with our Salesforce developers and Billing Engineering on the rest. You will be the named owner of the NPI process for systems, and the person Product, Pricing and Finance call when they want to know what it takes to launch something.
We are an AI-first systems team. You will use Claude as a normal part of how you design, build, test and document, and you will look for ways to make launches faster and more repeatable with AI.
Key responsibilities
Own the systems side of new product and pricing launches, from the first pricing discussion through launch day and the first billing cycle
Turn a pricing and packaging decision into concrete system changes: SKUs, price books, bundles, discount and approval rules, contract terms, billing plans, tax codes and reporting
Build and run a repeatable NPI playbook: intake, a readiness checklist, sign-offs, a launch calendar and a post-launch review
Join launch planning early with Product and Pricing. Push back on pricing ideas that cannot be quoted, billed or reported cleanly, and offer options that can
Design how new pricing models work end to end, including usage-based, seat-based, tiered, committed and multi-year ramp pricing, and which system is the source of truth for each part
Plan the impact on existing customers: moving customers to new SKUs, grandfathering, amendments and co-termination, and how renewals will work
Own end-of-sale and retirement of products and prices, so old SKUs leave the catalog without breaking renewals, billing or reporting
Coordinate the changes across Salesforce, billing and our tax platform, working with the teams who own each system
Partner with Deal Desk, Sales, Finance, Accounting, Tax and Legal so each team signs off on what changes for them before launch
Make sure sellers and Deal Desk are ready on launch day, including quote templates, approval paths, guidance and enablement
Check every launch after it goes live: do quotes, orders, invoices and Finance reports match? Add the control or reconciliation that catches the gaps
Build and ship declarative solutions yourself where that is the right call, and write specs clear enough that developers can build the rest without several rounds of questions
Use AI to shorten launch cycles, for example generating catalog changes from a pricing spec, checking launch readiness, and testing quote and billing scenarios
Minimum qualifications
Experience in GTM or revenue systems as a Business Systems Analyst, Q2C Systems Lead or similar role, with hands-on ownership of product and pricing launches
Experience launching new products or pricing models at a fast-growing company, owning the change across catalog, quoting, contracts and billing
Hands-on experience with Salesforce CPQ, Revenue Cloud or a similar CPQ tool, especially product and pricing data models, price books, bundles and approval rules
Working understanding of how a pricing decision flows into bookings, invoicing, tax and revenue recognition
Experience running a cross-functional process with many sign-offs (Product, Finance, Legal, Sales) and getting to launch on a fixed date
Hands-on Salesforce admin skills (Flow, validation rules, page layouts, approval processes) and comfort building meaningful parts of your own solution
Clear communication across Product, sellers, Deal Desk, Finance, Legal and engineers, adjusting the level of detail for each
Preferred qualifications
Experience in GTM, revenue or finance systems roles
Experience with usage-based or consumption pricing, and with billing platforms such as Stripe, Metronome or Zuora
Experience moving existing customers onto new pricing, including migrations, grandfathering and amendments at scale
Experience with tax setup for new products (tax codes, tax engines such as Anrok or Avalara)
Experience with integrations between Salesforce and billing, ERP or provisioning systems, and comfort reading API payloads and integration logs
Basic SQL and comfort using a data warehouse to check launch data
Salesforce Administrator certification. CPQ Specialist, Advanced Administrator or Business Analyst certification is a plus
Hands-on use of AI tools (Claude or similar) in how you design, build or document systems, and the ability to explain how you check their output
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$270,000
—
$315,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: India
Marketing Content Strategist and Copywriter
Department:
Marketing
Employment Type:
Full-Time
Location:
India (Remote)
About HIKINEX
HIKINEX is a multi-channel integrated service provider helping companies scale faster, boost efficiency, and drive greater profitability. We build dedicated remote teams in sales, recruitment, marketing, and operations so our clients can work on their business instead of in it. We're looking for a Marketing Content Strategist & Copywriter who can define, develop, and maintain the company's voice across every customer touchpoint. This role isn't about simply writing content - it's about transforming ideas into clear, engaging, persuasive communication that reflects our brand and helps drive
business growth.
Role Purpose
As the Marketing Content Strategist & Copywriter, you will own HIKINEX's written communication. You'll be responsible for developing our brand voice, creating high-quality marketing and product content, improving storytelling, and ensuring consistency across websites, presentations, social media, training materials, software, recruiting, sales, and future client marketing projects. You'll work closely with designers, marketers, product teams, recruiters, leadership, and video editors to ensure every piece of content is clear, engaging, and aligned with our brand.
Key Responsibilities
• Own and maintain HIKINEX's brand voice.
• Write and edit website copy.
• Develop product messaging and positioning.
• Create content for landing pages.
• Write email marketing campaigns.
• Write LinkedIn and social media content.
• Develop case studies and success stories.
• Write presentations and pitch decks.
• Create content for onboarding and training materials.
• Create scripts for promotional and training videos.
• Write product launch announcements.
• Review and edit content created by other departments.
• Build a centralized messaging and copy library.
• Collaborate with designers to ensure visuals and messaging work together.
• Use AI tools to improve research, writing, editing, and content production.
Required Skills
• Exceptional writing and editing skills.
• Strong storytelling ability.
• Brand messaging and positioning.
• Marketing psychology.
• B2B copywriting.
• Product marketing.
• Presentation writing.
• Content strategy.
• Information architecture.
• Ability to simplify complex ideas.
• Strong research skills.
• Excellent attention to detail.
Tools & Technologies
Microsoft 365, Grammarly, Canva
AI Tools
We're building an AI-first marketing department. Candidates should be comfortable using: ChatGPT, Claude, Perplexity, Grammarly AI, NotebookLM, Canva AI. AI should be used to improve productivity — not replace strategic thinking or creativity.
Experience Required
• 3+ years in content marketing, copywriting, or brand strategy.
• Experience writing for B2B companies.
• Experience with SaaS, technology, recruiting, or software companies preferred.
• Experience creating multi-channel marketing campaigns.
Work Samples
Please include 3–5 examples of your work that demonstrate your writing, messaging, and strategic thinking.
Examples may include:
• Website copy
• Landing pages
• Product messaging
• Email campaigns
• LinkedIn or social media content
• Case studies
• Sales collateral
• Presentation or pitch deck copy
• Brand messaging guidelines
• Blog articles or long-form content
If some work is protected by an NDA, candidates may provide personal projects or anonymized examples that showcase their writing style and strategic thinking.
Who Will Thrive in This Role
You're someone who enjoys turning complex ideas into simple, compelling stories. You believe that every word matters and that great content should educate, persuade, and inspire action. You're comfortable working across multiple departments, collaborating with designers and marketers, and using
AI to work smarter without sacrificing quality. You don't just write, you think strategically about messaging, customer psychology, and how content supports
business growth.
We Encourage You to Apply
If you don't meet every single requirement listed above, please don't let that stop you from applying. We'd still like to hear from you if you're excited about this role and bring relevant experience. Skills and qualifications can be built on the job — genuine interest and the right attitude matter just as much to us
Location: India
About HIKINEX
HIKINEX is a multi-channel integrated service provider helping companies scale faster, boost efficiency, and drive
greater profitability. We build dedicated remote teams in sales, recruitment, marketing, and operations so our
clients can work on their business instead of in it.
Role Summary
We're looking for a motivated Marketing Associate to support our growing Marketing Department across content,
campaigns, creative production, and marketing operations. This is an excellent opportunity for someone early in
their marketing career who is eager to learn, take ownership, and develop across multiple areas of marketing.
You'll work closely with the Creative Director, Content Strategist, Designers, and Marketing Leads while gaining
hands-on experience in branding, content creation, social media, campaign execution, project coordination, and
AI-assisted marketing.
Beyond supporting campaigns, you'll play an important role in keeping the Marketing Department organized by
coordinating projects, maintaining documentation, managing marketing assets, and ensuring deliverables move
efficiently through the team's workflow.
We're building an AI-first Marketing Department, so curiosity about AI tools and a willingness to adopt new
technologies is highly encouraged.
Key Responsibilities
Assist with creating and editing marketing materials in Canva (social media posts, presentations, one-pagers,
landing page assets, etc.).
Support the Creative Director and Content Strategist with day-to-day marketing initiatives.
Schedule and publish content across social media platforms.
Coordinate marketing campaigns, product launches, and internal marketing activities.
Organize and maintain the department's digital asset library, ensuring files are consistently named,
categorized, and easy to locate.
Update and maintain project progress in project tracking tools.
Conduct research to support marketing campaigns, products, competitors, and industry trends.
Proofread and format marketing content before publication.
Track project timelines and follow up with team members to ensure deliverables stay on schedule.
Help create and maintain SOPs, templates, training materials, and marketing documentation.
Support recruiting and employer branding initiatives when required.
Leverage AI tools to accelerate research, content creation, documentation, and administrative tasks.
Take ownership of assigned work, communicate progress proactively, and identify blockers early.
Required Skills
Strong organizational and time management skills.
Excellent attention to detail.
Good written and verbal communication skills.
Working knowledge of Canva.
Comfortable learning new tools and software quickly.
Ability to manage multiple projects simultaneously.
Problem-solving mindset with a proactive approach.
Comfortable working in a fast-paced environment where priorities may change.
Tools & Technologies
Canva, Microsoft 365
AI Tools
HIKINEX is building an AI-first Marketing Department. Familiarity with tools such as ChatGPT, Claude, Canva AI, or
similar AI productivity tools is highly desirable. We encourage continuous learning and experimentation with AI
to improve efficiency and quality of work.
Experience Required
0–2 years of experience in marketing, internships, or related projects.
No formal degree required. Relevant experience, personal projects, certifications, or a strong portfolio are
equally valued.
Experience using Canva or similar design tools is preferred.
Work Samples
Please include 2–3 examples of work you're proud of. This could include social media posts, presentations,
personal projects, university work, marketing campaigns, or content you've created. Professional experience is
not required — we're interested in your potential, creativity, and attention to detail.
Who Will Thrive in This Role
You're organized, curious, and eager to learn. You enjoy bringing structure to fast-moving projects, communicating
with people, and helping teams stay organized. You're excited to build your marketing career, comfortable using
technology to work smarter, and willing to take ownership as your responsibilities grow.
We Encourage You to Apply
If you don't meet every requirement listed above, we still encourage you to apply. We're looking for people with
curiosity, initiative, and a willingness to learn. Skills can be developed over time — we value attitude, ownership,
and growth potential just as much as experience.
Location: London, United Kingdom
Workplace: none
About InvestEngine
We’re a ~200-person, AI-first fintech. We move fast, we expect people to own things end to end, and we don’t have a lot of specialist support infrastructure to hide behind — if you spot a gap, you’re expected to close it, not escalate it and wait.
About the role
We’re hiring our
first dedicated Analytics Engineer
at InvestEngine. This is a foundational hire: you’ll sit at the intersection of data engineering, analytics engineering, and business partnership — turning raw, disparate data into governed, trustworthy models that the rest of the company makes decisions on.
You won’t just write dbt models in isolation. You’ll work directly with stakeholders across the business — Product, Engineering, Risk, Finance, Investment, Marketing — to understand the problems they’re actually trying to solve, then design and ship the pipelines, models, and semantic layer that solve them. You’ll also help shape how we use AI-enabled tooling to make the whole analytics function faster, and how we structure our data so that AI tooling can be trusted to answer questions about it.
We’re actively modernising our data stack, and we want the person in this role to shape it.
Some of it is in place, some of it is being rebuilt, and some of it hasn’t been decided yet. If you have informed opinions about orchestration, ingestion, testing, semantic layers, or BI — we want to hear them.
Who thrives here
We’ve pitched this at
mid to senior level
, but the honest position is that the level matters less than the appetite. The ultimate test is
hunger, and the desire to shape this space and have real impact
. If you’re technically strong but hungrier than your years of experience suggest, apply anyway — we’d rather have someone who wants to own this than someone who has simply done it before somewhere bigger.
Beyond that, this role suits someone who:
Operates well with ambiguity and limited structure.
You’ll be the first analytics engineer here — no existing playbook, no dedicated data engineering team to lean on, no established BI function to slot into. You’ll be building a lot of it as you go.
Wants a small, fast company on purpose
— not just escaping bureaucracy elsewhere, but genuinely drawn to the trade-off: more ownership and visibility, less process and hand-holding.
Lives in the tools, not in email chains.
You default to GitHub, dbt, Slack/Notion, and automation over status meetings and Word docs.
Can point to things they’ve actually built and shipped
, not just designs or concepts they contributed to.
Already uses AI to do the job better
— Claude, Copilot, or similar — and is curious about where it can go further.
Learns fast.
We care more about how quickly you close a knowledge gap than how complete your CV looks today.
Works well directly with Product, Marketing, Operations, and Engineering
, not just with other analysts — this role sits right at that boundary.
Our values
Everyone at InvestEngine is expected to live these, and this role will be assessed against all five:
Act like an owner
— you take responsibility for outcomes, not just tasks
Keep improving. Stay curious.
— you push your own standards and the team’s, and you’re genuinely curious about better ways to work
Achieve more together
— you make the people around you (business stakeholders included) more effective, not just yourself
Speak up. Share openly.
— you flag risks, disagreements, and better ideas rather than sitting on them
Put customers first. Create real value.
— you build things because they solve a real problem, not because they’re interesting to build
What you’ll do
Analytics engineering & the semantic layer
Design, build, and maintain
dbt Core
models that transform raw data into clean, well-tested, well-documented datasets
Own and evolve our semantic layer — consistent metric definitions, business logic, and naming that the whole company can trust and query against
Establish and enforce data modelling standards, testing practices, and documentation as the function scales
Evaluate and help roll out modern BI tooling — experience with
Lightdash, Omni, Looker, or Metabase
all translates well — to make metrics genuinely self-serve for non-technical stakeholders
Building the AI context layer
Structure our models, metric definitions, documentation, and lineage so they’re
machine-readable, not just human-readable
— because our semantic layer is what AI tooling reasons over
Make AI-driven analytics reliable: if two people (or two agents) ask the same business question, they should get the same answer, because the definition lives in one governed place
Treat naming, documentation, and metric definitions as first-class engineering deliverables rather than afterthoughts, since they directly determine how trustworthy our AI-enabled BI is
Use
Claude
to accelerate development — model scaffolding, code review, documentation, QA, and pipeline debugging — and
Notion AI
to keep documentation and runbooks current and genuinely useful
Bring a point of view on where AI can responsibly speed up analytics engineering, and help the wider team adopt it well
Data engineering & the platform
Build and maintain ingestion and transformation pipelines across our stack. We use a modern data stack, such as AWS, Redshift, and Airflow
Write production-quality Python for extraction, transformation, and automation tasks that fall outside dbt’s remit
Help us modernise: we’re actively evolving this stack and expect you to challenge and improve it, not just operate it
Warehouse cost & performance
Own the performance and cost profile of our Redshift warehouse — you should be able to read a query plan, choose sensible sort and distribution keys, and design incremental models without being asked
Spot and act on opportunities to reduce complexity and cost across our models and pipelines, rather than letting spend and technical debt accumulate quietly
Make deliberate trade-offs between freshness, cost, and complexity — and explain those trade-offs to the business in terms they care about
Data quality & observability
Champion analytics engineering best practice across the company: testing, version control, code review, CI, and documentation applied to data the same way engineering applies them to software
Build and own data quality, freshness, and pipeline monitoring so problems are caught by us before they’re caught by a stakeholder looking at a dashboard
Set the standard for what “trustworthy data” means here, and hold the line on it as the volume of models and requests grows
Upstream influence
Work with our engineering teams to make sure application and event design accommodates reporting and analytics requirements
before
data reaches the warehouse — good analytics starts at the source, not in the transformation layer
Influence payload and schema design for new services and product features, so we’re not permanently reverse-engineering business meaning out of operational tables
Support analysts and business users with automation, tooling, and data engineering expertise, and provide training and guidance on how to use our data well
Business partnership
Work directly with stakeholders to understand their problems, not just their requested outputs — translate ambiguous business questions into pipeline and modelling requirements
Act as a trusted advisor on what’s possible with our data, and push back constructively when a request doesn’t solve the underlying problem
Support financial, operational, and regulatory reporting needs appropriate to a regulated investment platform
Governance
Apply our data classification and access model when onboarding sources: identify PII (including in free-text fields), decide what belongs in the sanitised analytics layer versus a restricted dataset, and document the outcome
Implement least-privilege access across datasets, reports, and dashboards
What we’re looking for
Must-haves
Hands-on production experience with
dbt
(we run dbt Core) — this is a hard requirement
Strong SQL expertise
Solid
Python
for data engineering and automation
Working knowledge of
AWS
data services
Experience with
GitHub
and
GitHub Actions
(or equivalent CI/CD tooling) for testing and deploying data code
Experience with a modern BI tool (e.g., Lightdash, Omni, Looker, or Metabase), and a genuine interest in semantic layers (e.g., MetricFlow, Cube Core) and self-serve analytics
Comfortable using AI tools as part of your day-to-day engineering workflow
Strong communication — you can sit with a non-technical stakeholder, understand their real problem, and explain trade-offs in plain language
Ownership: you’re comfortable being the first and only person in this role, and building things properly from scratch
Nice-to-haves
Airflow
or similar orchestration tools, and familiarity with data ingestion tools such as dlt or Airbyte
Warehouse cost and performance tuning, particularly on Redshift
Fintech, investment management, or another regulated industry
Handling PII responsibly in an analytics environment — sanitised vs. restricted datasets, role-based access tiers, automated PII detection
Experience with Notion AI or Asana automations
Day-to-day working style
We favour clear thinking and simple, well-tested solutions over cleverness
We expect you to engage directly with the business, not hide behind tickets — understanding the “why” behind a request is part of the job
We’re genuinely trying to use AI to work faster and better, not as a buzzword — we want people who’ll experiment, share what works, and level up the team
As the first analytics engineer, you’ll define what “good” looks like here: process, standards, and tooling included
We believe data should be
as accessible as it can safely be, and as restricted as it needs to be
— good judgement applied consistently, not blanket lockdown
Practical details
Reports to:
Chief Data Officer
Team:
Data & Analytics
Level:
Mid to Senior
Location / working pattern:
London / hybrid
Location: AU: Sydney (45 Clarence St); AU: Melbourne: (260 Burwood Rd)
Workplace: Hybrid
The role / impact
As a Senior Engineer - AI Builder in Operational Tools & Workflows, you will bring an engineering mindset to design and rapidly ship internal tools and automations that remove toil across our Product & Technology organisation. Your work directly empowers leaders and frontline teams to focus on launching innovative products by automating essential operating rhythms and reducing manual tasks.
In this hands-on role, you will apply modern AI and engineering techniques to build scalable software solutions, connect key data systems, and champion continuous improvement. You will also mentor team members across the business operations community, helping others build confidence and capability in using modern AI tooling.
The team / how they connect
You will join the Global Product & Technology Operations team, serving as a critical engine within the organisation's overall operating structure. Working alongside Embedded Operations Managers, Technical Program Managers, and senior leaders, you will translate operational challenges into elegant technical solutions. Together, the team fosters a highly collaborative, high-performing culture built on curiosity, shared ownership, and modern engineering practices.
Initially, the role will focus on
- Designing and delivering internal operational tools for status reporting, headcount management, and automated roadmapping
- Applying AI-first engineering, using large language models and coding agents to automate complex manual workflows
- Integrating platforms across the systems landscape, including Jira, Confluence, Workday, and data warehouses via APIs
- Proactively scanning operating models to prototype new AI-enabled solutions that eliminate friction and scale smoothly
Here are some of the things we are looking for
- A background in software engineering, with proficiency in languages such as Python or TypeScript and experience with full-stack tool creation
- Hands-on experience applying artificial intelligence tools, coding agents, and low-code frameworks to deliver production-ready software
- Practical skill in evaluating whether to build custom software, implement low-code workflows, or extend existing SaaS platforms
- Experience integrating systems through APIs and designing clean data structures using tools like Jira, Confluence, or enterprise data warehouses
- A strong product mindset that treats internal stakeholders as valued customers, paired with a drive for rapid prototyping
- Natural curiosity about organisational design, coupled with an ability to communicate comfortably across both engineering and business operations audiences
Where and how you can work
This role is open to applicants based in Australia or New Zealand. We offer flexible working arrangements that combine remote focus days with in-office collaboration time. Our modern office spaces are designed to support flexible work styles, community engagement, and team connection events.
Location: Remote US
About the Team
The Professional Services organization at Miro is focused on ensuring our Enterprise customers achieve exceptional outcomes through the Innovation Workspace. Our team of strategic advisors, implementation experts, and forward deployed consultants work side-by-side with customers to transform how they collaborate, build, and innovate—powered by agentic AI and Miro's world-class platform.
About the Role
As a Forward Deployed Consultant, Manufacturing, you will apply AI solutions to transform and automate the core operating processes of leading industrial enterprises. You will engage directly with C-level executives, help them identify high-impact opportunities, build and test enterprise-grade AI solutions on their own data and systems, and drive measurable business outcomes.
This role sits at the intersection of strategy, operations, and technology. You will be paired with an Account Executive against named accounts—hunting for problems worth solving, then proving they can be solved. Generalist FDCs lead client discussions across industries; as the Manufacturing Specialist, you are the dedicated depth they bring in when a pursuit turns on industrial expertise.
What you’ll do
E
xecutive Agenda:
Partner with senior executives—COO, Chief Supply Chain Officer, Chief Digital Officer, VP Manufacturing, VP Quality—to define an AI transformation agenda Miro can attach to
Lead the initial CxO conversation that creates awareness of what AI makes possible for the business
Qualify opportunities before committing to a Validation Sprint: sponsor authority, commitment, and the account's potential to become a multi-year, seven-figure relationship
Validation Sprints:
Co-author the Sprint charter with the AE: the business problem, its value, our approach, exit criteria, and the partnership proposal that follows success
Run the Sprint end to end—immerse, prioritise, build, read out—developing and testing the solution on the customer's real data and systems
Take manufacturing processes apart and rebuild them on AI-first principles across five workflows: new product development and gate review, quality and continuous improvement, portfolio and program management, operations and launch readiness, and process development and transformation
Build using Miro's AI Workflows, Prototypes, and Goals, Roadmaps & Delivery capabilities, extended through Miro's API, WebSDK, and MCP integrations into ERP, PLM, MES, and quality systems
Value and Conversion:
Turn Sprint outcomes into a business value story, ROI model, and KPI baseline—grounded in metrics the customer already runs on: gate cycle time, requirement coverage at gate, defect recurrence, cost of poor quality, capacity utilisation, on-time launch rate, ramp-to-full-rate time
Support executive leadership in delivering the Value Story read-out to the sponsor
Co-own with the AE the conversion of Sprint outcomes into the partnership proposal and commercial approach
Define the scope of Professional Services involvement post-sale and hand over cleanly
Package what you learn and radiate it—internally to Sales, Marketing, and Product, and externally through thought leadership
What you’ll need
8+ years in
top-tier consulting, forward deployed engineering, solution consulting, or enterprise transformation
, weighted toward manufacturing and industrial environments
Deep understanding of
manufacturing operating processes
: NPI and stage-gate/APQP, engineering change management, quality systems (FMEA, 8D, PPAP), S&OP and production planning, lean and continuous improvement, maintenance and reliability
Fluency with the
industrial enterprise stack
—ERP (SAP or equivalent), PLM (Teamcenter, Windchill, 3DEXPERIENCE), MES, quality management systems—and where the data lives
Credibility with
COO, Chief Supply Chain Officer, VP Operations, VP Quality
, and Plant General Manager stakeholders
Exceptional
GenAI
skills: Miro, Cursor, Claude Code and Cowork, ChatGPT, Google and Microsoft suites,
MCP
integrations, prompt and context engineering. You can
build working solutions yourself
and orchestrate an AI Engineer when the build demands it
Ability to build a
before/after value story
with financial and ROI analysis that survives finance scrutiny
A
business-problem-first
rather than product-first mindset, and the curiosity to take any process apart
Comfort in both the boardroom and the plant
Self-starter who operates independently and under ambiguity
Willing to
travel
to customer sites up to 40%
What's in it for you
We want you to feel supported, connected, and ready to grow. Our global benefits package generally includes equity, a wellbeing benefit, a WFH equipment allowance, and an annual Learning & Development stipend. Join a diverse team where you can do your best work. Full benefits may differ per location. If you would like to learn more about location-specific benefits, please refer to our
Global Miro benefits board
.
#LI-LW1
About Miro
Miro is a visual workspace for innovation that enables distributed teams of any size to build the next big thing. The platform's infinite canvas enables teams to lead engaging workshops and meetings, design products, brainstorm ideas, and more. Miro, co-headquartered in San Francisco and Amsterdam, serves more than 100M users and 250,000 companies collaborate in the Innovation Workspace. Miro was founded in 2011 and currently has more than 1,600 employees in 13 hubs around the world.
We are a team of dreamers. We look for individuals who dream big, work hard, and above all stay humble. Collaboration is at the heart of what we do and through our work together we hope to create a supportive, welcoming, and innovative environment. We strive to play as a team to win the world and create a better version of ourselves every day. If this sounds like something that excites you, we want to hear from you!
Check out more about life at Miro:
Youtube:
https://www.youtube.com/@lifeatmiro
Blog:
https://miro.com/careers/life-at-miro/all/
Instagram:
https://www.instagram.com/mirohq/
At Miro, we strive to create and foster an environment of belonging and collaboration across cultural differences.
Miro’s mission —
Empower teams to create the next big thing
— is how we think about our product, people, and culture.
We believe that creating big things requires diverse and inclusive teams.
Diversity
invites all talent with different demography, identities and styles
to step in
, and
inclusion
invites them to step
closer together.
Every day, we are working to build a more diverse Miro, cultivate a sense of belonging for future and current Mironeers around the world, and foster an environment where everyone can collaborate and embrace differences.
Miro handles and uses personal data of job applicants in line with its
Recruitment Privacy Policy
found
here
.
Location: San Francisco
We are looking for a detail-oriented, strategic team player to join as a Benefits Manager on Asana’s People Team
. In this role, you will design and scale foundational benefits programs that drive consistency, well-being, and equity across our North America organization
. You will own key offerings, including health & welfare benefits, wellness, and retirement, ensuring every Asana has access to comprehensive, competi
tive support
. The People Team at Asana works to enable all Asanas to achieve our goals as a company in a way that is consistent with our values
. We focus on recruiting, developing, and retaining exceptional talent from diverse backgrounds, ensuring that eve
ryone can thrive, grow, and make a meaningful impact in support of Asana's broader mission: to help humanity thrive by enabling all teams to collaborate seamlessly and eff
ectively
.
This role is based in our San Francisco office with an office-centric hybrid schedule
. The standard in-office days are Monday, Tuesday, and Thursday
. Most Asanas have the option to work from home on Wednesdays
. Workin
g from home on Fridays depends on the type of work you do and the teams with which you partner
.
If you're interviewing for this role, your recruiter will share more about the in-office requirements
.
What you’ll achieve
Partner with the Head of Global Benefits to own the strategy, design, and execution of high-impact benefits programs across the U.S. and Canada
.
Shape Benefits Strategy: Design and continuously improve the overall experience, communications, and delivery of benefits programs, maximizing employee well-being and reducing friction for all Asanas
.
Manage Vendor and Broker Relationships: Own relationships with brokers, carriers, and third-party administrators across medical, dental, vision, life, disability, and retirement programs, leading renewals and ongoing performance management
.
Serve as the Benefits Systems Expert: Establish yourself as the administrator for our benefits administration platform, advising People Ops and cross-functional teams on strategy for enrollment, data integrity, governance, reporting, and process optimization
.
Build Cross-Functional Alignment: Partner with stakeholders in People Operations, Payroll, Finance, Legal, and Talent Acquisition to integrate benefits into the end-to-end employee lifecycle and lead cross-functional change initiatives
.
Ensure Compliance: Maintain deep working knowledge of relevant regulations (including ERISA, ACA, HIPAA, FMLA, and state-specific leave laws), ensuring programs and plan documents remain compliant
.
Maximize Program Outcomes: Design measurable frameworks for benefits utilization, employee satisfaction, and cost management using data to inform future strategy and investment
.
Apply an AI-first approach to streamline benefits administration and case management, creating personalized employee communications
.
About you
Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making
.
6+ years of experience in benefits program management, with a track record of owning and scaling health & welfare, and retirement programs
.
Expertise as a benefits administration system administrator or power user, with demonstrated ability to advise on enrollment strategy, data integrity, and reporting
.
Strong working knowledge of NAMER benefits compliance requirements (ERISA, ACA, HIPAA, FMLA, and state paid leave laws); familiarity with Canadian benefits programs is a plus
.
Familiarity with total rewards philosophy and inclusive, equity-informed benefits design
.
Clear, compelling communicator, both verbally and in writing, capable of synthesizing complex plan information and guiding e
mployees with empathy
.
Approach problem-solving with a strong sense of urgency, metic
ulous
attention to detail, and exceptional time management skills
.
Experience leading cross-functional change and influencing peer and senior stakeholders withou
t direct authority.
Comfort designing measurable success metrics and using data to driv
e decision-making
.
At Asana, we're committed to bu
ilding teams that include a variety of backgrounds, perspectives,
and skills, as this is critical to helping us achieve our mission
. If you're interested in this role and don't meet every listed requirement, we
still encourage you to apply
.
What we’ll offer
Our comprehensive compensation package plays a big part in how we recognize you for the impact you ha
ve on our path to achieving our mission
. We believe that compensation should be reflective of the value you create relative to the market value of your role
. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a
yearly pay equity audit
.
For this role, the estimated base salary range is between $164,000 - $186,000
. The actual base salary will vary based on various factors, including market and individual
qualifications objectively assessed during the interview process
. The listed range above is a guideline, and the base salary range for this role may be modified
.
In addition to base salary, your compensation package may include additional componen
ts such as equity, sales incentive pay (for most s
ales roles), and benefits
. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn mo
re about the total compensation and benefits for this role
.
We strive to provide equit
able and competitive benefits packages that support our employees worldwide and include:
Mental health, wellnes
s & fitness benefits
Career coaching & support
Inclusive family building benefits
Long-term savings or retirement plans
In-office culinary options to cater to your dietary preferences
These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations
. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role
.
About us
Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong.
We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law.
Join Asana’s Talent Network
to stay up to date on job opportunities and life at Asana.
Location: Riyadh, Saudi Arabia
Workplace: Hybrid
HEALTH CAN’T WAIT.
Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t.
Alan exists to end the wait.
Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way.
So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience.
We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR.
Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond.
⭐ YOUR MISSION
We are building Alan's Care function in Saudi Arabia, and you will be the person who makes sure every member trusts Alan when they need us most. You'll build the function from zero: process, tooling, quality bar, then scale it, while handling the conversations that matter most yourself.
Founding the function
- Handle directly the member contacts that stay in-house: admin requests, escalations, complex cases.
- Write the scripts, guidelines, and documentation that make Care work in Saudi from day one.
- Shape the operating model on the ground together with the GM Saudi and the global Care community: opening hours, shift coverage, tooling setup (Intercom and others), and how traffic splits between in-house and externalized support.
What success looks like: a documented, working Care operation that can pass regulatory scrutiny and handle real member conversations from launch.
Owning quality on externalized support
- Own the quality bar for everything we externalize: review calls and tickets in Arabic, coach our outsourcing partner's agents, and close the loop between what members experience and what we improve.
What success looks like: externalized conversations meet Alan's quality bar, and gaps get caught and fixed before they become member complaints.
Owning regulatory accountability
- Own the complaint-handling policy and the regulatory SLAs on complaints.
- Prepare the documentation and readiness for the Insurance Authority inspection.
What success looks like: Alan passes Insurance Authority inspection with a clear, accountable answer on every complaint-handling question asked.
You won't be building this alone. You'll have the full support of Alan's global Care Ops team on process design, tooling, forecasting, and planning, the same team behind our Care launches in France, Belgium, and Canada. You bring the on-the-ground execution and Arabic-language expertise; they bring the playbooks and cross-market experience.
👀 WHO WE ARE LOOKING FOR
- You are a founding operator. You've built an operational function from scratch before, or you're ready to do it for the first time with real ownership.
- You are hands-on in ambiguity. You're happy to answer tickets yourself on day one while designing the system in parallel. Some decisions on coverage model and tooling are still being finalized, and you'll help make them.
- You are AI-first. You're excited to work on automation and tooling, not just process.
- You lead with ownership and directness. You hold an outsourcing partner accountable to a quality bar without hesitation.
- You are genuinely energized by great customer experience. When a member is frustrated, you don't just close the ticket, you make sure they walk away feeling cared for.
- You understand the member's stakes. Ideally, you've seen pre-authorization, claims, or member frustration points up close, in health insurance, health services, or a comparable regulated environment.
⭐️ REQUIREMENTS FOR THE ROLE
Must-haves
- Saudi national.
- Fluent in Arabic and English, spoken and written. Both are mandatory: Arabic for the QA work on Arabic-language conversations, English for collaboration with the global Care community and cross-functional teams.
- Comfortable operating with significant ambiguity: building the system and doing the work at the same time.
- Strong ownership and directness, including holding an external partner accountable to a quality bar.
- Genuine interest in AI-first tooling and automation.
Nice-to-haves
- Health insurance, health services, or financial services background; understanding of pre-authorization, claims, and member frustration points in Saudi Arabia.
- Experience building or scaling an operational/support function from scratch.
- Familiarity with the Saudi regulatory environment (Insurance Authority requirements).
Level target: B1-C1 on Alan's level grid.
⭐ WHAT WE OFFER
- A world-class team to lean on: you won't be alone. You'll have the full support of Alan's global Care Ops team, and the full team's playbooks from launching Care in France, Belgium, and Canada.
- Real ownership and impact from day one, on a function you build yourself.
- As the team scales, this role has the potential to grow into leading a local team.
ГибридheadMünchen, Germany
ГибридheadMünchen, Germany; Group career pages; Jobs.cz
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Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоUnited States (Remote); We encourage candidates from all backgrounds to apply; Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com
УдалённоГеография найма не уточнена
San Francisco, CA | New York City, NY | Seattle, WA
San Francisco, CA | New York City, NY
San Francisco, CA | New York City, NY | Seattle, WA
УдалённоIndia
УдалённоIndia
London, United Kingdom
ГибридseniorAU: Sydney (45 Clarence St); AU: Melbourne: (260 Burwood Rd); This role is open to applicants based in Australia or New Zealand
УдалённоRemote US; Miro handles and uses personal data of job applicants in line with its
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