Location: Hybrid; In-Office
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations: Austin or London
About the Role
Workers for Platforms
lets anyone build their own platform on top of
Cloudflare’s Developer Platform
, turning Cloudflare’s infrastructure, compute and storage primitives into a programmable foundation others can build on.
As a Product Manager for Workers for Platforms, you’ll define and execute the strategy that helps developers build platform businesses on top of Cloudflare. You’ll collaborate closely with engineering, partnerships, and design to make Cloudflare’s primitives — Workers, Durable Objects, Agents, AI inference, and more — composable for any company to use as their own infrastructure.
What You’ll Do
Drive the strategy and roadmap for Workers for Platforms
Work hands-on directly with some of Cloudflare’s biggest customers, every day
Define the APIs, management layers, and developer experience that make it possible for customers to extend Cloudflare’s developer platform to their own customers.
Get in the details of APIs we provide to developers, working closely with engineers
Represent Cloudflare externally
Examples Of Desirable Skills, Knowledge And Experience
The ideal candidate is entrepreneurial-minded and thrives in a fast-paced and goal-driven environment.
You do whatever it takes to ship and solve problems for customers — whether that means writing code, debugging with a customer, writing docs or learning how to do something new to you. Successful PMs at Cloudflare are unafraid to roll up sleeves, get into details and ask questions.
You use AI effectively to move faster and learn faster.
You show rather than tell — using code examples, demos, prototypes
Developer focus — you’ll be working directly, and often be a part of the customers team in helping them get their initial implementation off the ground
Strong technical abilities. You are capable of wading into the details & understanding engineering decisions’ impact on the product, but can also drive 30k foot view
A desire to sweat the details and ship great developer experiences
A love for talking to developers at organizations both large and small on a daily basis so that you can build and ship products that solve real problems.
Compensation may be adjusted depending on work location.
Equity
This role is eligible to participate in Cloudflare’s equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and
benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx InsuranceDental InsuranceVision InsuranceFlexible Spending AccountsCommuter Spending AccountsFertility & Family Forming BenefitsOn-demand mental health support and Employee Assistance ProgramGlobal Travel Medical Insurance
Financial Benefits
Short and Long Term Disability InsuranceLife & Accident Insurance401(k) Retirement Savings PlanEmployee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leaveLeave programs, including parental, pregnancy health, medical, and bereavement leave
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Задачи:
— Разрабатывать новую backend-функциональность на Go по спецификациям
— Поддерживать и развивать существующие сервисы: исправлять ошибки, рефакторить, улучшать производительность
— Работать с Oracle: проектировать схемы, писать и оптимизировать запросы
— Строить асинхронное взаимодействие между сервисами через Kafka
— Писать и поддерживать unit- и интеграционные тесты
— Участвовать в проработке спецификаций, архитектуры и контрактов между сервисами, взаимодействовать с менеджером проекта, аналитикой, QA и соседними командами (веб, мобайл)
— Участвовать в код-ревью и предлагать улучшения кода и процессов
Требования:
— Опыт коммерческой разработки на Go от 2 лет
— Хорошее понимание конкурентности в Go (goroutines, channels, context) и построения HTTP-сервисов и REST API
— Уверенные навыки работы с реляционными БД и SQL
— Опыт с Oracle — большой плюс, но его можно "дотянуть" в процессе, если есть сильная база в PostgreSQL или MySQL
— Опыт работы с Kafka или другими брокерами сообщений
— Опыт работы с Docker и Linux в повседневной разработке
— Базовые навыки работы с Kubernetes для отладки: читать логи подов, пробрасывать порты (port-forward) к сервисам
— Уверенная работа с Git и GitLab, понимание CI/CD
— Практика написания тестов (unit, интеграционные)
— Готовность работать по спецификациям и поддерживать документацию в актуальном состоянии
— Базовый английский для чтения документации
Будет плюсом:
— Опыт в финтехе или высоконагруженных проектах
— Практический опыт с Oracle
— Навыки проектирования надёжных и масштабируемых систем: кэширование, очереди, мониторинг
Условия:
— Полная занятость
— График: 5/2
— Формат работы: удалённо
Задачи:
— Разработка Android-приложений с использованием Kotlin.
— Работа с Kotlin Coroutines и Flow.
— Разработка UI на Jetpack Compose и поддержка экранов на XML.
— Применение архитектурных подходов MVVM и/или MVI.
— Использование Dependency Injection (Dagger, Koin или аналоги).
— Работа с навигацией в Android-приложениях (Jetpack Navigation, Cicerone или аналоги).
— Чтение и поддержка существующего кода, участие в командной разработке и code review.
Требования:
— Коммерческий опыт Android-разработки от 3 лет.
— Уверенное знание Kotlin и понимание особенностей работы языка.
— Опыт разработки с Kotlin Coroutines и Flow.
— Практический опыт разработки UI на Jetpack Compose.
— Опыт разработки и поддержки экранов на XML.
— Понимание принципов построения Android-приложений и жизненного цикла компонентов.
— Практический опыт применения архитектурных подходов MVVM и/или MVI.
— Опыт работы с Dependency Injection: Dagger, Koin или аналогичными решениями.
— Опыт работы с навигацией в Android-приложениях: Jetpack Navigation, Cicerone или аналоги.
— Умение читать существующий код, разбираться в чужих решениях и поддерживать большие кодовые базы.
— Способность самостоятельно реализовывать задачи и доводить фичи до продакшена.
— Опыт участия в code review и командной разработке.
Будет преимуществом:
— Опыт работы с многомодульными проектами.
— Опыт написания unit-тестов.
— Опыт миграции экранов с XML на Jetpack Compose.
Условия:
— Полностью удалённая работа по РФ.
— Full-time, 40 часов в неделю.
— Долгосрочное сотрудничество.
— Оплата: 215 000–300 000 ₽ в месяц, в зависимости от опыта.
— Необходимо проживать на территории РФ и иметь гражданство РФ.
— Кандидатов из Москвы и Санкт-Петербурга не рассматриваем.
УдалённоseniorРоссия
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Location: London, United Kingdom - Deliveroo
Our Global Structure
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
About the team
Engineering the future of customer support — at global scale
🌍
We believe exceptional customer service is more than just a feature, it’s a fundamental part of who we are. That’s why we’ve built our own internal support tooling from the ground up, tailored to help our customer, courier, and merchant support teams shine in every interaction.
As we scale our operations from 30 to 60 countries, supporting millions of users and partners, our internal tools need to scale with us. The Support Engineering group is at the heart of this mission. We build high-performance admin applications and core operational tools that empower our support teams to work smarter and faster. A key part of this is our in-house chat platform, which already handles around 5 million conversations every month. On top of this foundation, we’re developing advanced features to reduce manual work, improve communication, and proactively resolve issues — often before our users even notice them.
Our systems range from automated reach-outs for delayed orders to deeply integrated tools that enable our support teams to deliver assistance quickly, reliably, and with a human touch. By removing inefficiencies and automating repetitive tasks, we’re ensuring that our users and partners receive world-class support at scale.
About the role
We’re now looking for a
Backend Engineer (Golang)
to join us in building scalable, low-latency systems that power these tools and shape the future of customer support. You’ll work on impactful products that directly influence how millions of people experience our platform every day.
What you'll be doing
Build and maintain high-throughput backend services using
Go
.
Collaborate with product managers, designers, and frontend developers to ship features that support internal support agents across the globe.
Design systems that are
scalable
,
resilient
, and easy to maintain.
Contribute to architectural discussions and technical decision-making.
Write well-tested code and help the team maintain high code quality standards.
Requirements
3+ years
of professional software engineering experience, with a proven track record of building and scaling complex systems.
Production experience in
Golang
, with an interest in developing strong engineering practices.
Strong hands-on experience with both
SQL and NoSQL databases
— especially Cassandra.
Solid understanding of designing and operating
low-latency, high-throughput distributed systems
.
Previous
on-call experience
, with a pragmatic approach to reliability and incident management.
Nice to have
Background in
Node.js
or other backend languages.
Familiarity with
cloud infrastructure
(AWS, GCP) and event-driven architectures.
Why Deliveroo
Our mission is to transform the way you shop and eat, bringing the neighbourhood to your door by connecting consumers, restaurants, shops and riders. We are transforming the way the world eats and shops by making access to food and products more convenient and enjoyable. We give people the opportunity to buy what they want, as they want it, when and where they want it.
We are a technology-driven company at the forefront of the most rapidly expanding industry in the world. We are still a small team, making a very large impact, looking to answer some of the most interesting questions out there. We move fast, value autonomy and ownership, and we are always looking for new ideas.
Workplace & Benefits
At Deliveroo we know that people are the heart of the business and we prioritise their welfare. Benefits differ by country, but we offer many benefits in areas including healthcare, well-being, parental leave, pensions, and generous annual leave allowances, including time off to support a charitable cause of your choice. Benefits are country-specific, please ask your recruiter for more information.
Diversity
At Deliveroo, we believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or a secret aversion to coriander. All you need is a passion for (most) food and a desire to be part of one of the fastest-growing businesses in a rapidly growing industry.
We are committed to diversity, equity and inclusion in all aspects of our hiring process. We recognise that some candidates may require adjustments to apply for a position or fairly participate in the interview process. If you require any adjustments, please don't hesitate to let us know. We will make every effort to provide the necessary adjustments to ensure you have an equitable opportunity to succeed.
Diversity, Equity and Inclusion
At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.
If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.
If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!
Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at
careersatdoordash.com/recruitment-scam-awareness
.
Location: London, United Kingdom - Deliveroo
Our Global Structure
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
Senior Software Engineer (Full Stack) - Merchants
Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day.
From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s growth at scale.
We partner with some of the largest grocery retailers in the world, as well as a large number of small independent grocers.
The Team:
MX Intelligence builds the tools DoorDash, Deliveroo and Wolt use to find, sign and onboard restaurants and merchants. That covers identifying and matching prospective merchants through to the CRM, quoting and contracting tools sales teams use to bring them onto the platform. We're replacing a Salesforce-based stack with one first-party platform shared across all three brands.
We’re looking for a
Senior Software Engineer - Full Stack
to join our
London
team. In this role you'll work across the stack, from the backend services and integrations that handle merchant discovery, matching and onboarding to the web tools sales and operations teams use to quote and sign merchants. You'll own features end to end, partner closely with Product and Design, and lead technical planning as we move core sales workflows off Salesforce and onto our own platform
Get to know our
Engineering team
— what drives us, how we work, and what you can expect.
What You’ll Be Doing
This role is based in our London office with a
hybrid
setup, typically 3 days in the office.
Here’s what your day-to-day might look like:
Drive technical execution
by designing, building, and scaling backend services and frontend components that handle high-traffic workloads (20krpm and above).
Lead architectural improvements
and code reviews, ensuring the efficiency, visibility, and operational health of your team's systems.
Partner with cross-functional disciplines
(PMs, Experience Designers) to plan projects, foresee dependencies, and mitigate technical risks.
Break down complex problems
into deliverable choices, influencing the roadmap and technical direction within your team.
Support the growth of others
by mentoring colleagues and taking an active role in our engineering hiring process to build high-performing teams.
What You’ll Need to Thrive
Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others:
Significant experience building web-based applications
in a modern stack; we use Go, Ruby, Python, and Scala, and we’re looking for someone keen to work across them.
Proven ability to design and operate web architecture at scale
, specifically with systems handling significant request volumes.
Demonstrated ownership of relational databases
(PostgreSQL, MySQL) and experience with "NoSQL" backends such as Redis, DynamoDB, or Elasticsearch.
A commitment to software craft
, with a pride in writing readable, well-designed, and thoroughly tested code.
Strong collaborative leadership skills
, with a track record of guiding implementation choices and supporting the personal growth of teammates.
Why Join Us?
At Deliveroo, you’ll do work that matters—solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to:
🔧
Solve meaningful problems at real scale
Work on a complex, always-on marketplace that impacts millions every day.
🌱
See your impact, fast
Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment.
🧠
Grow through challenge and ownership
Take on big, ambiguous problems and accelerate your career with strong support.
🌎
A culture built for builders
High standards, collaboration, flexible working and continuous learning.
💰
Share in the success you help create
Competitive salary and equity options, so you’re rewarded for the impact you make.
➡️ Want a deeper look at how we build? Check out our
Tech Blog
.
We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages.
Explore our Engineering Interview Guide here
to help you feel confident at each stage.
Diversity, Equity and Inclusion
At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.
If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.
If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!
Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at
careersatdoordash.com/recruitment-scam-awareness
.
Location: London, United Kingdom - Deliveroo
Our Global Structure
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
Software Engineers, Subscriptions - Backend
Deliveroo is now part of DoorDash, one of the largest online food ordering and delivery platforms in the world. As part of this role, you'll join one of our Subscriptions teams in London, focused on the core proposition and working across our three subscription programmes - DashPass, Deliveroo Plus, and Wolt+. You'll work closely with engineering teams across the US and Europe, as part of the Global Subscription organisation, to build and evolve the shared subscriptions capabilities that power loyalty and membership experiences for millions of customers worldwide.
We're hiring backend engineers who want to be at the front line of what engineering looks like in the age of AI.
💡 Why Subscriptions?
An AI-first team by design. We don't use AI as a productivity add-on - we treat agentic coding as a core engineering discipline. We expect our engineers to build with AI agents, to challenge what's possible when the human-in-the-loop is a multiplier rather than a bottleneck, and to push the boundaries of what a small, focused team can ship.
Real ownership, real impact. Our subscription programmes are touching millions of users daily. You'll own features end-to-end - from the idea through production - and see your work matter at scale.
Cross-org engineering at the frontier. Deliveroo, DoorDash and Wolt are working together in order to align subscription experiences across three of the world's leading delivery platforms. This is engineering at the intersection of product ambition and international complexity.
A small team that punches above its weight. We're a cross-functional team: Backend, Mobile, Web, Product, Design, and Data - all in the same room. No handoff theatre. You'll move fast, ship iteratively, and be around people who take craft seriously.
🤖 AI-First Engineering - What This Means Here
We're building teams at the forefront of agentic coding. This isn't about using Copilot to autocomplete boilerplate. We mean engineers who:
Design workflows where AI agents handle entire task loops, from spec to PR.
Think in terms of orchestration: what does a human review, what does the agent own?
Build internal tooling and abstractions that make AI-assisted development faster and more reliable for the whole team.
Stay curious and ahead of the curve - trying new models, agents, and tools as they emerge, and forming strong opinions about what's genuinely useful vs. hype.
If you find yourself naturally asking "can an agent do this?" before reaching for the keyboard, you'll fit right in.
🔍 What We're Looking For Across all roles
Strong engineering fundamentals - you've built and shipped software that runs at scale, and you understand what that entails: testing, observability, reliability, and maintainability.
Genuine enthusiasm for AI-first development. You use AI tools daily and have formed real opinions about how to get the most out of them.
Ownership mentality: you drive projects forward, communicate clearly across teams and time zones, and don't wait to be told what to do.
Collaborative instincts - the Subscriptions domain sits at the intersection of consumer mobile, web, backend, and data. Cross-functional work is the norm, not the exception.
🙌 About You
You've built and shipped real software - products, platforms, APIs, apps - and you know what it takes to keep things running reliably in production. You have opinions about architecture but hold them lightly. You write tests. You read the alerts. You don't leave loose ends.
What sets you apart right now is that you're genuinely excited about where engineering is going. You've been experimenting with AI agents and agentic coding workflows - not because someone told you to, but because you couldn't help yourself. You think about how to redesign your development loop from first principles, not how to bolt AI onto the way you already work.
You communicate well, collaborate easily across disciplines, and care about the product as much as the code. You're the kind of engineer who asks "what's the best way to..." and then actually follows through.
🌍 Where You'll Work
These roles are based in our tech hub in London.
Diversity, Equity and Inclusion
At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.
If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.
If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!
Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at
careersatdoordash.com/recruitment-scam-awareness
.
Location: London, United Kingdom - Deliveroo
Our Global Structure
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day.
From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s growth at scale.
We’re looking for a Software Engineer to join our London team. In this role, you’ll help us build and maintain high-performance systems that power our hyper-local marketplace, ensuring a seamless experience for millions of users. This role is based in our London office with a hybrid setup, typically 3 days in the office.
Get to know our
Engineering
team — what drives us, how we work, and what you can expect.
What You’ll Be Doing
You’ll be joining a multi-disciplinary engineering team focused on technical execution and collaboration. As a Software Engineer at Deliveroo, your individual work contributes to achieving goals across your team, simplifying the maintenance of production systems while ensuring operational readiness and health.
Here’s what your day-to-day might look like:
Design and scale backend services for our real-time marketplace using languages such as Go, Ruby, or Python.
Improve code structure and architecture by participating in deep technical discussions and reviewing code across your team’s remit.
Enhance system reliability by focusing on visibility, monitoring, and the overall health of production systems.
Collaborate across teams to identify integration opportunities and influence the technical roadmap within your domain.
Take an active role in the hiring process, conducting engineering interviews and supporting the growth of your peers.
What You’ll Need to Thrive
Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others:
Pride in readable, well-designed, and well-tested software, with a focus on long-term maintainability.
Experience writing web-based applications in any modern language (Go, Ruby/Rails, Python, Scala, or Rust).
Solid understanding of relational databases (such as PostgreSQL or MySQL).
Familiarity with web architecture at scale, ideally handling high-traffic environments (20krpm and above).
Exposure to NoSQL data backends or caching layers like Redis, DynamoDB, or ElasticSearch.
A problem-solving mindset, particularly when applied to complex logistical or marketplace challenges.
Why Join Us?
At Deliveroo, you’ll do work that matters—solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to:
🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day.
🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment.
🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support.
🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning.
➡️ Want a deeper look at how we build? Check out our
Tech Blog
.
We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Explore our
Engineering Interview Guide here
to help you feel confident at each stage.
Diversity, Equity and Inclusion
At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.
If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.
If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!
Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at
careersatdoordash.com/recruitment-scam-awareness
.
Location: London, United Kingdom - Deliveroo
Our Global Structure
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
Your job is to make sure every payout and transaction lands with the right person.
We have spent years getting very good at protecting the things a marketplace has always had to protect: checkout fraud, account takeover, courier abuse. But we are no longer only a marketplace. We now issue banking products, lend to merchants, move instant payouts to couriers, and collect cash on the doorstep. Every one of those is a new way for money to leave the platform.
This is a new team, and it owns that surface: fraud wherever money moves through the platform. Who receives it, who lends it, who collects it, and who holds it in a financial account. Think instant payout rails, merchant cash advances, and platform-issued banking and earned-wage products serving millions of couriers and merchants. These are live loss surfaces, and the volume grows with every financial product we launch.
We are now looking for a
Backend Engineer (Golang)
to build that protection. You will design and ship real-time detection and automated enforcement for our financial products across DoorDash, Wolt, and Deliveroo. The work is high-throughput, low-latency, and unusually consequential: a rule you ship on Monday can stop a serious loss by Friday. It is also close to greenfield, so you will be setting the patterns every future financial product inherits on day one.
This role will be based in
London
,
UK
as one of the founding engineering roles in our London hub, working closely with our teams in Helsinki and Berlin.
What you'll do:
Build and maintain high-throughput, low-latency backend services in Go that score financial events in real time, including payout enrollments, bank account links, credit applications, and account-to-account transfers.
Design fraud detection and automated enforcement for our financial products end to end: from signal collection through to the decision that blocks a fraudulent payout.
Build on and extend our shared fraud decisioning platform, so signals, rules, and models work across all three of our brands instead of being rebuilt three times.
Partner closely with risk analysts, data scientists, and product managers to turn observed fraud patterns into shipped detection, and to know when a rule, a model, or a product change is the right answer.
Work across team boundaries with our account security, payments fraud, and financial product teams. We build on their signals rather than rebuild them, so clean interfaces matter.
Contribute to architectural discussions and technical decisions as we establish the fraud infrastructure baseline for financial products, with support from senior engineers on the team.
Write well-tested, observable code and help the team hold a high quality bar. In fraud, a silent failure is a loss event.
Our expectations:
3 to 6 years of professional software engineering experience, including backend services you have shipped and owned in production.
1+ years of production experience in Golang, or strong experience in another backend language and real enthusiasm for picking Go up quickly.
A working understanding of low-latency, high-throughput distributed systems. Real-time decisioning comes with a latency budget, and you are keen to learn to build inside one.
Hands-on experience with SQL and/or NoSQL databases, and some exposure to event-driven architectures (Kafka or similar).
Willingness to operate what you build, including a share of on-call, with a pragmatic approach to reliability.
Uses AI tooling in day-to-day development and can critically evaluate its output for correctness and quality.
Nice to have
Experience in fraud, risk, payments, lending, or financial crime, especially money movement fraud, bank account linking fraud, payout abuse, or lending fraud.
Experience with rules engines, real-time feature stores, or ML model serving in a decisioning path.
Background in Kotlin, Java, Python, or Node.js alongside Go.
Familiarity with cloud infrastructure (AWS, GCP).
Experience working across multiple brands, regions, or regulatory regimes.
What we value
A product-oriented mindset. You think beyond the ticket, understand the "why" behind the work, and take a high level of responsibility for outcomes rather than output.
Comfort with ambiguity. This is a new team on a new surface; parts of the charter are still being drawn, and you will help draw them.
A track record of owning a project or feature end to end, especially in fast-paced environments.
Clear and proactive communication, with a collaborative spirit. We work across three companies and several time zones, so we move fast, but we succeed together.
An adversarial instinct. The best fraud engineers enjoy thinking like the attacker.
Diversity, Equity and Inclusion
At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.
If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.
If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!
Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at
careersatdoordash.com/recruitment-scam-awareness
.
Location: Whiteley Hampshire, United Kingdom
Role: Financial Advisor (Level 4 Qualified)
Location:
Whiteley, Hampshire (Office attendance every Tuesday)
Salary:
£45,000 basic salary + adviser bonuses, incentives and validation rewards
Working Pattern:
Primarily remote/telephone-based, with weekly office collaboration
Company:
Appointed Representative Firm of Quilter Financial Planning
Start Your Financial Advice Career with an Established Adviser Team
A growing and successful Quilter Financial Planning firm is looking to recruit an ambitious Financial Adviser at the beginning of their advisory career.
This is an excellent opportunity for a motivated individual who is keen to develop their skills within a supportive environment, working alongside experienced advisers and benefiting from comprehensive training and mentorship.
The business has a proven client acquisition model, dedicated support staff, and a steady flow of leads, allowing you to focus on building relationships and delivering great client outcomes.
The Role
You will play a key role in supporting the firm's continued growth by:
Taking over and managing clients passed across by senior advisers
Building relationships with existing ad hoc clients and identifying opportunities to transition them to ongoing service arrangements
Following up and converting qualified leads generated through established referral partnerships
Working closely with a network of mortgage and protection advisers who regularly introduce prospective clients
Developing business from a strong wills and estate planning referral source
Conducting client meetings primarily over the phone, with occasional use of Microsoft Teams
What You'll Receive
£45,000 basic salary.
Additional adviser bonuses and incentive opportunities
Validation point rewards
Ongoing training and development from an experienced adviser team
Full paraplanning and administrative support provided
Access to high-quality referred leads and existing client opportunities
A clear pathway to develop and grow your advisory career
About You
We're looking for someone who:
Level 4 Qualified
Is passionate about building a career in financial advice
Has excellent communication and relationship-building skills
Enjoys engaging with clients and helping them achieve their financial goals
Is proactive, motivated and keen to develop professionally
Wants to be part of a supportive and collaborative team environment
Why Join?
Unlike many adviser positions, this opportunity allows you to focus on advice and client relationships rather than administration. With dedicated paraplanning support, established lead sources, and hands-on training from the firm's leadership team, you'll be well positioned to accelerate your development and build a successful long-term career.
About OneDome
OneDome is a UK-based
housing and fintech technology platform
building an
AI-powered platform
to simplify life’s biggest financial decisions — from buying a first home to building and protecting long-term wealth.
The platform brings together property discovery, mortgage origination, legal and transaction ser-vices, insurance, and financial planning into a single, end-to-end digital experience. OneDome’s flagship
HomeBuyer Service
reimagines home ownership as a retail-style product, bundling every-thing required to purchase a home into one transparent, fixed-price offering. Beyond home pur-chases, the platform supports customers across the full lifecycle of home ownership and personal finance.
OneDome operates at scale, working with a nationwide network of over 500 mortgage brokers and arranging approximately
$1.4 billion in mortgage volume per month
, positioning the company among the largest housing and mortgage platforms in the UK.
The company is
profitable
and has been recognised for rapid, capital-efficient growth, including being ranked the
4th fastest-growing fintech
and
17th fastest-growing technology company
by the Deloitte Fast 50 in 2025, and the 6th fastest-growing tech company by the
Sunday Times Tech 100
in 2026.
Backed by Channel 4 Ventures and family offices across the UK, Saudi Arabia, the United States, and Australia, OneDome is building the next generation
housing and fintech super-platform
, re-placing fragmented, manual processes with a modern, data-driven, AI-enabled consumer experience.
Salary: £40,000 – £45,000 / year
Location: US - United States
Scopely is looking for a
Director of Product Performance
to serve and elevate our new casual game, Monopoly GO!, in the US (East Coast) on a remote basis.
At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.
MONOPOLY GO! is a global phenomenon and the biggest mobile game launch in history, captivating millions of players worldwide.
What You Will Do
The
Director of Product, Performance
will lead a diverse team of
performance product managers, economy designers, and analysts
. Your mission will be to drive performant and innovative
Live Operations, monetization strategy, and long-term roadmap execution
, ensuring engaging, innovative experiences for players.
This role involves working across many
cross-functional teams
to optimize in-game events, content, and sales while setting and achieving weekly and monthly
KPI and revenue goals
.
Lead the scheduling and execution of Monopoly GO’s
calendar of live events, offers, and content updates
to enhance player experience, keep the game fresh and engaging, and drive
revenue growth
.
Build, mentor, and lead a
cross-functional team
of
performance product managers, economy designers, and analysts
.
Collaborate with senior leadership to
define the vision, culture, and processes
that make Scopely an industry leader in mobile F2P gaming.
Shape the
long-term roadmap
by aligning product needs, organizational goals, and strategic objectives.
Forecast weekly and monthly KPI targets
and develop strategies to achieve or surpass them.
Monitor and analyze
key metrics and user feedback in real-time
to identify trends, optimize the game economy, and address any concerns.
Use
quantitative insights (Analytics team), qualitative feedback (Community, CS), and competitive analysis
to continually refine and improve the player experience.
What We’re Looking For
Proven experience defining
monetization strategies
for
casual F2P
games.
Hands-on experience with
live operations
for
mobile F2P
games.
Strong background in
forecasting and delivering on revenue and key performance metrics
for live games.
Experience
leading cross-functional teams
in a dynamic, fast-paced environment.
For candidates in CA, CO, NJ, NY, and WA, the annual salary range is provided below. In addition to base pay, employees may be eligible for equity, bonuses, and a comprehensive benefits package, including healthcare benefits, retirement benefits, pet insurance, paid holidays, paid Scopely free days, and unlimited paid time off. Base pay offered may vary depending on job-related knowledge, skills, and experience.
CA, CO, NJ, NY, and WA Annual Salary Range
$186,000
—
$291,000 USD
About Scopely
Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.
Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come.
Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play.
Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit:
https://www.scopely.com/
.
Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official
website
and verify that all Talent Partner communications come from an email address ending in @
scopely.com
.
Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here:
California Privacy Notice
and
EEA/UK Privacy Notice
.
Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.
Location: Lviv
Workplace: remote
Eleks is looking for an experienced Customer Engagement Manager in Lviv to join our Government Business Unit and lead complex tender-based presales engagements.
ABOUT PROJECT
The role focuses on managing end-to-end bid processes, including RFI, RFP, and formal tender responses, leading cross-functional team, and ensuring high-quality, compliant, and competitive submissions.
REQUIREMENTS
3+ years of experience in IT services presales, bid management, proposal management, or a similar role within the IT outsourcing industry
Practical experience managing complex RFPs, RFIs, or formal tender submissions
Strong project management and organizational skills, with the ability to coordinate multiple stakeholders and parallel activities
Good understanding of IT services, software development lifecycle (SDLC), delivery models, and commercial engagement models
Experience working with technical and commercial proposal documentation
Strong analytical skills and attention to detail, particularly when interpreting complex tender requirements
Excellent written and verbal English communication skills (Advanced)
Ability to work independently, manage competing priorities, and deliver under strict deadlines
Strong stakeholder management, problem-solving, and decision-making skills
Experience managing government or public sector tenders (USA/UA)
WOULD BE A PLUS
Understanding of public procurement procedures, compliance requirements, and government contracting practices
Experience with structured bid management methodologies and APMP best practices
APMP/PMP certification or relevant
Experience developing proposal win strategies, executive summaries, and value propositions
Experience using AI tools to support bid development, document analysis, and proposal quality assurance
Experience managing several complex bids simultaneously
KEY COMPETENCIES
Strong ownership and accountability for bid outcomes
Excellent planning, prioritization, and time management
Attention to detail and commitment to quality
Proactive and assertive stakeholder communication
Ability to coordinate cross-functional teams without direct reporting authority
Resilience and adaptability in deadline-driven environments
Continuous improvement mindset
WHAT YOU WILL GET WITH ELEKS
Close cooperation with a customer
Challenging tasks
Competence development
Team of professionals
Dynamic environment with a low level of bureaucracy
Location: Tunis, Tunisia
Workplace: hybrid
About Yassir:
Yassir is the leading super app in the Maghreb region, set on changing the way daily services are provided. It currently operates in 45 cities across Algeria, Morocco and Tunisia, with recent expansions into France, Canada and Sub-Saharan Africa. It is backed (~$200M in funding) by VCs from Silicon Valley, Europe and other parts of the world.
We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally. We're helping usher the continent into a digital economy era, not just by serving people, but by building a marketplace that brings people what they need while infusing social values.
About the Role
Yassir's marketplace runs on decisions made millions of times a day: which driver gets which trip, what a ride should cost, when an order will arrive, which transaction looks fraudulent, who qualifies for credit. We are looking for a Product Manager who owns the machine learning systems behind those decisions and is accountable for their measurable impact on the business.
This is a product role for ML-heavy, data-intensive products. You will lead discovery from data rather than from opinion, frame business problems as problems a model can actually solve, define what success means both offline and in production, and prove impact through well-designed experiments. You will work closely with data scientists, ML engineers and data engineers, and with product and operations partners across ride-hailing, delivery and financial services.
What This Role Is (and Isn't)
This role centres on predictive and decisioning ML: ranking, matching, forecasting, pricing, risk and personalisation. Experience building LLM or agentic features is welcome, but it is not a substitute for the fundamentals below. If your ML product experience is primarily integrating third-party models or APIs into user-facing features, this role is likely not the right fit.
Responsibilities
Data-led discovery:
Identify and size ML opportunities by going into the data yourself. Diagnose where the marketplace is losing value (supply-demand imbalance, cancellations, ETA error, fraud losses, default rates) and translate it into a prioritised, quantified problem backlog.
Problem framing:
Turn business problems into well-posed ML problems: define the prediction target, the decision it informs, the unit of analysis, label availability and quality, and the cost of different error types. Know when a problem does not need ML and a rule or heuristic will do.
Metrics and success criteria:
Define the chain from model metrics (e.g. precision/recall, calibration, MAE) to product and business metrics, and own guardrail metrics. Understand why offline gains often fail to translate online, and plan for it.
Experimentation and causal inference:
Design and interpret controlled experiments, including in two-sided marketplace settings where interference makes standard A/B tests unreliable (switchback, geo or cluster-randomised designs). Reason about statistical power, novelty effects and heterogeneous impact across cities and segments. Distinguish correlation from causation, and know which quasi-experimental methods to use when randomisation isn't possible.
ML product lifecycle:
Own models from framing through data requirements, baseline, iteration, launch, monitoring and retirement. Partner with engineering on rollout strategy, model monitoring, drift detection, retraining cadence and failure modes. Treat a model in production as a product that degrades if unattended.
Roadmap and trade-offs:
Own the ML product roadmap across domains and countries. Make explicit trade-offs between accuracy, latency, cost, interpretability, fairness and regulatory requirements, especially in credit and financial services.
Stakeholder alignment and visibility:
Make the impact of ML work legible to non-technical leadership. Communicate results, including null and negative results, with rigour and clarity. Align product, operations, risk and marketing partners on shared objectives.
Leadership and culture:
Raise the bar on how the organisation makes decisions with data. Mentor peers, build a culture of feedback and trust, and invest in your own growth and that of those around you.
Requirements
4+ years of product management experience, including at least 2 years owning ML-driven products that run in production and influence core business decisions (e.g. pricing, matching, ranking, forecasting, fraud, credit risk, recommendations).
Hands-on fluency with data: you can write SQL, explore data independently and challenge an analysis without waiting for someone else to run it.
Demonstrated experience designing, running and interpreting controlled experiments, and a solid working understanding of causal inference.
Strong understanding of core ML concepts: supervised learning, evaluation metrics and their trade-offs, overfitting and leakage, bias, calibration, and the relationship between offline and online performance.
A track record of shipping ML products where you can clearly articulate the problem framing, the metrics chosen, the experiment design and the measured business impact, including what went wrong.
Experience working with distributed or remote teams across multiple markets.
Experience in marketplaces, mobility, on-demand delivery or fintech is a strong plus.
BSc/MSc in Engineering, Computer Science, Statistics, Data Science or a related quantitative field.
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA
Workplace: onsite
Overview
Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems.
This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs.
While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale.
We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.
Project Details
Job Title: Data Labeling Analyst (Speech & Voice AI)
Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)
Hours: Full-time, 40 hours per week
Employment Type: W2 Full-Time Employee
Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
Hourly Pay Rate: $28/hour
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement.
What You’ll Do
Execute high-volume data labeling and annotation tasks across speech and voice datasets
Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
Work with audio and language data, including transcription, categorization, and tagging
Maintain strong throughput while meeting quality expectations
Escalate unclear or ambiguous cases appropriately
Adapt to evolving guidelines and workflows as systems and requirements change
Support baseline data production needs for AI training pipelines
Contribute to team calibrations and quality alignment sessions
What We’re Looking For
Native-level fluency in Spanish (Mexico)
Strong written communication skills and language fundamentals
1 year of work experience
in data labeling, annotation, or content-focused work;
or a Bachelor's degree or equivalent
academic qualification in a related field.
Ability to follow detailed instructions and apply guidelines consistently
High attention to detail and ability to maintain accuracy in repetitive tasks
Comfort working in structured, process-driven environments
Ability to manage time effectively and maintain steady output
Willingness to ask questions and escalate when needed
Basic familiarity with AI, speech technology, or language data is a plus
Benefits
Paid Vacation: 6 days
Paid Company Holidays: 2 days (Memorial Day and Labor Day)
Paid Sick Leave: accrued per applicable state law and company policy
Medical, Dental, and Vision Insurance (eligibility applies)
Health Savings Account (HSA)
401(k) Retirement Plan
Employee Assistance Program
Additional voluntary benefits (life, accident, critical illness, etc.)
Onsite Perks (where applicable):
Free breakfast, lunch, and dinner
Stocked micro-kitchens with snacks and beverages
Commuter benefits, including shuttles and bike-to-work options
Unique campus features depending on location
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
To know more details (Click here)
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Why This Role
This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users.
It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA
Workplace: onsite
Overview
Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems.
This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs.
While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale.
We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.
Project Details
Job Title: Data Labeling Analyst (Speech & Voice AI)
Hiring in: Onsite (Bay Area, NYC, or client-dependent)
Hours: Full-time, 40 hours per week
Employment Type: W2 Full-Time Employee
Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
Hourly Pay Rate: $28/hour
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Bellevue, Redmond, Seattle, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement.
What You’ll Do
Execute high-volume data labeling and annotation tasks across speech and voice datasets
Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
Work with audio and language data, including transcription, categorization, and tagging
Maintain strong throughput while meeting quality expectations
Escalate unclear or ambiguous cases appropriately
Adapt to evolving guidelines and workflows as systems and requirements change
Support baseline data production needs for AI training pipelines
Contribute to team calibrations and quality alignment sessions
What We’re Looking For
Native-level fluency in Spanish (Spain)
Strong written communication skills and language fundamentals
1 year of work experience
in data labeling, annotation, or content-focused work;
or a Bachelor's degree or equivalent
academic qualification in a related field.
Ability to follow detailed instructions and apply guidelines consistently
High attention to detail and ability to maintain accuracy in repetitive tasks
Comfort working in structured, process-driven environments
Ability to manage time effectively and maintain steady output
Willingness to ask questions and escalate when needed
Basic familiarity with AI, speech technology, or language data is a plus
Benefits
Paid Vacation: 6 days
Paid Company Holidays: 2 days (Memorial Day and Labor Day)
Paid Sick Leave: accrued per applicable state law and company policy
Medical, Dental, and Vision Insurance (eligibility applies)
Health Savings Account (HSA)
401(k) Retirement Plan
Employee Assistance Program
Additional voluntary benefits (life, accident, critical illness, etc.)
Onsite Perks (where applicable):
Free breakfast, lunch, and dinner
Stocked micro-kitchens with snacks and beverages
Commuter benefits, including shuttles and bike-to-work options
Unique campus features depending on location
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
To know more details (Click here)
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Why This Role
This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users.
It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA
Workplace: onsite
Overview
Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems.
This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs.
While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale.
We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.
Project Details
Job Title: Data Labeling Analyst (Speech & Voice AI)
Hiring in: Onsite (Bay Area, NYC, or client-dependent)
Hours: Full-time, 40 hours per week
Employment Type: W2 Full-Time Employee
Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
Hourly Pay Rate: $28/hour
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement.
What You’ll Do
Execute high-volume data labeling and annotation tasks across speech and voice datasets
Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
Work with audio and language data, including transcription, categorization, and tagging
Maintain strong throughput while meeting quality expectations
Escalate unclear or ambiguous cases appropriately
Adapt to evolving guidelines and workflows as systems and requirements change
Support baseline data production needs for AI training pipelines
Contribute to team calibrations and quality alignment sessions
What We’re Looking For
Native-level fluency in English (UK)
Strong written communication skills and language fundamentals
1 year of work experience
in data labeling, annotation, or content-focused work;
or a Bachelor's degree or equivalent
academic qualification in a related field.
Ability to follow detailed instructions and apply guidelines consistently
High attention to detail and ability to maintain accuracy in repetitive tasks
Comfort working in structured, process-driven environments
Ability to manage time effectively and maintain steady output
Willingness to ask questions and escalate when needed
Basic familiarity with AI, speech technology, or language data is a plus
Benefits
Paid Vacation: 6 days
Paid Company Holidays: 2 days (Memorial Day and Labor Day)
Paid Sick Leave: accrued per applicable state law and company policy
Medical, Dental, and Vision Insurance (eligibility applies)
Health Savings Account (HSA)
401(k) Retirement Plan
Employee Assistance Program
Additional voluntary benefits (life, accident, critical illness, etc.)
Onsite Perks (where applicable):
Free breakfast, lunch, and dinner
Stocked micro-kitchens with snacks and beverages
Commuter benefits, including shuttles and bike-to-work options
Unique campus features depending on location
Job Reference: #L1-CC1
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
To know more details (Click here)
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Why This Role
This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users.
It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.
Задачи:
— Возглавить направление промо-маркетинга, выстроить процессы в отделе с нуля.
— Разработка стратегического плана развития категорий и формирование тактического промо-плана, включая собственный маркетплейс.
— Планирование, бюджетирование и защита промо-бюджета на основе расчётов ROMI и прогнозируемой прибыли с детализацией unit-экономики до уровня категории/SKU.
— Создание и реализация федеральных и поддерживающих промо-акций совместно с отделами коммерции и аналитики.
— Разработка новых механик промо-активностей и развитие инструментария, включая digital-промо и геймификацию.
— Координация промо-плана с байерами и категорийными менеджерами, увязка акций с ассортиментной матрицей, остатками и новинками.
— Отдельное планирование промо для собственных торговых марок с экономикой и целями, отличными от промо брендов-партнёров.
— Разработка персонализированных промо-механик на базе программы лояльности совместно с командой CRM/retention.
— Контроль запуска и продвижения промо-кампаний в основных каналах (e-mail, push, SMM, сайт, приложение) совместно с департаментом маркетинга и IT.
— Синхронизация промо между офлайн-сетью, сайтом, маркетплейсом и приложением с едиными правилами при разной подаче по каналу.
— Контроль соответствия акций требованиям законодательства (ФЗ «О рекламе», 152-ФЗ) и внутренним юридическим регламентам.
— Аналитика эффективности кампаний и подготовка итоговых презентаций.
— Мониторинг промо-активности конкурентов и формирование ответного тактического плана.
— Постановка регламентов взаимодействия с закупками, категорийным менеджментом, digital-маркетингом и IT.
— Оптимизация внутренних процессов отдела.
Требования:
— Опыт работы от 3 лет в ритейле или крупном e-commerce на позициях в промо-маркетинге, трейд-маркетинге или бренд-менеджменте.
— Опыт работы с широким ассортиментом (тысячи SKU).
— Опыт планирования промо и глубокое понимание механик продвижения.
— Опыт монетизации отношений с поставщиками: ретробонусы, маркетинговые бюджеты, оплаченные размещения.
— Сильные аналитические навыки: анализ эффективности промо-активностей и их влияния на оборот, LTV, ROMI.
— Умение бюджетировать кампании, прогнозировать и защищать результат перед руководством.
— Опыт работы с CRM/CDP-платформами для персонализации промо — преимущество.
— Знание и понимание основных каналов маркетинга (e-mail, push, SMM, контекстная реклама).
— Сильные переговорные навыки и опыт управления командой.
Условия:
— Прямое подчинение директору по маркетингу One Retail.
— Возможность самостоятельного построения направления.
— Конкурентный уровень заработной платы (обсуждается индивидуально).
— Официальное оформление.
— Офис в бизнес-центре класса А, 5 минут ходьбы от метро Нахимовский проспект.
— Полноценный офисный формат (без гибрида и удалёнки).
— Сменный график работы.
— Работа в компании ООО «Алькор и Ко» под брендом ЛЭТУАЛЬ.
Задачи:
— Разрабатывать новый функционал, модули и компоненты внутренних бизнес приложений на 1C Bitrix/Bitrix24 и Laravel
— Проектировать high load интеграции с внутренними и внешними сервисами (REST, SOAP, очереди)
— Участвовать в техническом проектировании: оценке задач, выдвижении архитектурных решений, построении микросервисов и high load решений
— Взаимодействовать с DevOps и Frontend командами (Docker Sworm, Kubernetes, CI/CD)
— Поддерживать и развивать существующий код: рефакторинг, оптимизация производительности, обеспечение стабильности и масштабируемости систем
— Заниматься подготовкой и поддержкой технической документации (Confluence, Swagger/OpenAPI, PhpDoc)
— Принимать участие в планировании спринтов, оценке задач, ретроспективах
— Проводить код-ревью, наставничество менее опытных коллег, передачу знаний внутри команды
— Писать unit и интеграционные тесты, настраивать статический анализа
Location: Paris, France; London, United Kingdom; Lisbon, Portugal; Milan, Italy; Rome, Italy; Berlin, Germany; Athens, Greece; Barcelona, Spain; Bari, Italy; Split, Croatia; Copenhagen, Denmark; Oslo, Norway; Tallinn, Estonia; Lima, Peru; Limassol, Cyprus; Budapest, Hungary; Florence, Italy; Amsterdam, Netherlands; Stockholm, Sweden; Warsaw, Poland; Kraków, Poland; Lublin, Poland; A Coruña, Spain; Aachen, Germany; Aalborg, Denmark; Aarhus, Denmark; Aberdeen, United Kingdom; Algarve, Portugal; Loulé, Portugal; Alicante, Spain; Andijan, Uzbekistan; Amstetten, Austria; Almería, Spain; Antalya, Türkiye; Antwerp, Belgium; Amadora, Portugal; Almaty, Kazakhstan; Alajuela, Costa Rica; Badajoz, Spain; Bedford, United Kingdom; Belgrade, Serbia; Bern, Switzerland; Birgu, Malta; Birmingham, United Kingdom; Bordeaux, France; Bologna, Italy; Braga, Portugal; Brașov, Romania; Brno, Czechia; Bursa, Türkiye; Seoul, South Korea; Bydgoszcz, Poland; Čačak, Serbia; Caieiras, Brazil; Cascais, Portugal; Celje, Slovenia; Cardiff, United Kingdom; České Budějovice, Czechia; Chelyabinsk, Russia; Cork, Ireland; Craiova, Romania; Crete, Greece; Debrecen, Hungary; Derby, United Kingdom; Dublin, Ireland; Düsseldorf, Germany; Edirne, Türkiye; Edinburgh, United Kingdom; Eindhoven, Netherlands; Eisenstadt, Austria; Faro, Portugal; Frankfurt, Germany; Freiburg, Germany; Gdańsk, Poland; Gebele, Azerbaijan; Gaziantep, Türkiye; Ganja, Azerbaijan; Geneva, Switzerland; Gothenburg, Sweden; Goiânia, Brazil; Glasgow, United Kingdom; Graz, Austria; Girona, Spain; Hamburg, Germany; Iași, Romania; Île-de-France, France; Innsbruck, Austria; Ingolstadt, Germany; Kaunas, Lithuania; Kerpen, Germany; Kičevo, North Macedonia; Klagenfurt am Wörthersee, Austria; Klang, Malaysia; Kyiv, Ukraine; Kufstein, Austria; Larnaca, Cyprus; Leeds, United Kingdom; Lefke, Cyprus; Leicester, United Kingdom; Leibnitz, Austria; Limbourg, Belgium; Liepāja, Latvia; Limerick, Ireland; Linz, Austria; Liverpool, United Kingdom; Ljubljana, Slovenia; Łódź, Poland; Madrid, Spain; Maastricht, Netherlands; Lyon, France; Málaga, Spain; Manchester, United Kingdom; Marbella, Spain; Marseille, France; Metropolitan City of Naples, Italy; Miskolc, Hungary; Monaghan, Ireland; Munich, Germany; Newcastle upon Tyne, United Kingdom; Nice, France; Novosibirsk, Russia; Nyíregyháza, Hungary; Oeiras, Portugal; Ostrava, Czechia; Palermo, Italy; Paphos, Cyprus; Passau, Germany; Patras, Greece; Pécs, Hungary; Pilsen, Czechia; Porto, Portugal; Plovdiv, Bulgaria; Poznań, Poland; Prague, Czechia; Pristina, Kosovo; Regensburg, Germany; Rosenheim, Germany; Rotterdam, Netherlands; Saint Pölten, Austria; Saint-Étienne, France; Saint-Tropez, France; Sheffield, United Kingdom; Sintra, Portugal; Sofia, Bulgaria; Stara Zagora, Bulgaria; Strumica, North Macedonia; Stuttgart, Germany; Suzano, Brazil; Sveta Nedelja, Croatia; Swansea, United Kingdom; Sydney, Australia; Tbilisi, Georgia; The Hague, Netherlands; Thun, Switzerland; Tirana, Albania; Toulouse, France; Tripoli, Lebanon; Turin, Italy; Ulm, Germany; Utrecht, Netherlands; Valencia, Spain; Valletta, Malta; Venice, Italy; Verona, Italy; Vienna, Austria; Vilnius, Lithuania; Wiesbaden, Germany; Würzburg, Germany; Zagreb, Croatia; Zadar, Croatia; Zaragoza, Spain; Zürich, Switzerland; Karpacz, Poland; Dnipro, Ukraine; Niš, Serbia; Sibiu, Romania; Baku, Azerbaijan; Basel, Switzerland; Belfast, United Kingdom; Bergen, Norway; Birkirkara, Malta; Bratislava, Slovakia; Bruges, Belgium; Brussels, Belgium; Bucharest, Romania; Burgas, Bulgaria; Chișinău, Moldova; Cluj-Napoca, Romania; Cologne, Germany; Constanța, Romania; Coventry, United Kingdom; Daugavpils, Latvia; Dresden, Germany; Galway, Ireland; Genoa, Italy; Ghent, Belgium; Hanover, Germany; Helsinki, Finland; Heraklion, Greece; İstanbul, Türkiye; Kazan, Russia; Kharkiv, Ukraine; Košice, Slovakia; Leipzig, Germany; Lille, France; Lviv, Ukraine; Malmö, Sweden; Maribor, Slovenia; Moscow, Russia; Nantes, France; Naples, Italy; Newcastle, United Kingdom; Nicosia, Cyprus; Nizhny Novgorod, Russia; Novi Sad, Serbia; Nuremberg, Germany; Pljevlja, Montenegro; Podgorica, Montenegro; Saint Petersburg, Russia; Salzburg, Austria; Samara, Russia; San Marino; Sarajevo, Bosnia and Herzegovina; Seville, Spain; Skopje, North Macedonia; Sliema, Malta; Zrenjanin, Serbia; Wrocław, Poland; Varna, Bulgaria; Timișoara, Romania; Thessaloniki, Greece
Workplace: fully
David Kennedy Recruitment
is working with a fast-growing AI technology company with over 50 million users worldwide that is seeking to onboard a Talent Acquisition Specialist to join their team.
The successful candidate will be the company's third Talent Acquisition Specialist, working closely with the CEO and business leaders to recruit internationally across every function, with a strong focus on tech, while helping shape how recruitment evolves as the company grows beyond 100 employees.
Location: Europe, Remote
Employment type: B2B contract
Remuneration: Competitive salary dependant on experience
DUTIES AND RESPONSIBILITIES:
Map and engage top talent from Tier 1 tech hubs and companies worldwide, including candidates who are not actively applying
Help implement an AI-first recruitment stack, using AI agents, niche technical communities and unconventional channels to find exceptional talent
Build and maintain long-term relationships with passive talent globally to stay ahead of hiring needs
Own the candidate journey from the first discovery call to the final close
Conduct structured interviews assessing technical aptitude and cultural alignment
Test new AI tools and sourcing strategies that keep the quality bar high
Contribute to employer branding initiatives and content that position the company as a leading destination for AI talent
REQUIREMENTS:
3+ years of recruitment experience, including at least 2 years in tech recruitment
Experience working in a start-up or scale-up environment
Global sourcing experience, with a track record of attracting talent from major tech hubs (USA, EU, LATAM, etc.)
Familiarity with Applicant Tracking Systems (ATS) and other recruitment tools
Perfectly fluent English and strong communication and collaboration skills
Goal-oriented with strong ownership and a doer mindset, balancing execution, planning and strategy
Humble and open to feedback, thriving in a high-trust environment
Comfortable hiring for products built on uncensored models and NSFW content
Advantages
Experience in AI recruitment or familiarity with the AI space
Exposure to employer branding, compensation benchmarking or broader talent acquisition initiatives
BENEFITS:
Fully remote, working from anywhere
B2B contract preferred, with flexibility on contract type
20 working days of paid time off per year
Annual in-person company gathering
Monthly allowance towards health insurance expenses
Unlimited 1:1 sessions with psychologists and lifestyle experts, also available to up to three family members
Co-working space budget of up to two visits per month
Learning budget for courses, books, conferences, events or certifications
Company equipment
Premium access to AI tools
Opportunity to help shape the Talent Acquisition function at a defining stage of growth
And many more!!!
London, United Kingdom - Deliveroo; We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief
seniorLondon, United Kingdom - Deliveroo; We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief
London, United Kingdom - Deliveroo; Ownership mentality: you drive projects forward, communicate clearly across teams and time zones, and don't wait to be told what to do; We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief
London, United Kingdom - Deliveroo; We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief
London, United Kingdom - Deliveroo; We work across three companies and several time zones, so we move fast, but we succeed together; We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief
УдалённоWhiteley Hampshire, United Kingdom; Whiteley, Hampshire (Office attendance every Tuesday)
US - United States; For candidates in CA, CO, NJ, NY, and WA, the annual salary range is provided below
ГибридseniorTunis, Tunisia
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA; To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA; To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Bellevue, Redmond, Seattle, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA; To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston
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