Location: Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
What You’ll Be Doing
Build and maintain the core infrastructure of the AIOps platform, including the unified monitoring & alerting system and the FinOps cost observability platform.
Maintain and continuously optimize internal R&D infrastructure (GitLab, Nexus, Sonar, etc.).
Manage monitoring data collection, alert governance, and cost data visualization across multi-cloud environments (Alibaba Cloud / AWS).
Support cloud security operations, including cloud security alert management and compliance auditing.
What We Look For In You
3+ years of DevOps or SRE experience; experience with AIOps or observability platform development is a plus.
Proficient in Python; familiar with at least one of Go or Java. Full-stack capability (React/Vue frontend + backend API) is a plus.
Hands-on experience with at least one major cloud platform (Alibaba Cloud or AWS); familiar with cloud monitoring products (CloudWatch / Alibaba Cloud CloudMonitor) and cost management tools.
Familiar with monitoring and logging stacks such as Prometheus, Grafana, and ELK.
Experience maintaining and optimizing CI/CD toolchains (GitLab CI, Nexus, container registries).
Experience with AI/LLM application development (e.g., LLM API integration, RAG, Agent frameworks) is a plus.
Good written and verbal English communication skills.
Perks & Benefits
Competitive total compensation package
L&D programs and education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Требования:
- учится в вузе на технической специальности (3–6 курс)
- готов работать от 20 часов в неделю
- имеет базовые знания JavaScript, React, HTML5, CSS3
- знает SQL и принципы работы REST API
- имеет базовый английский для чтения документации
Обязанности:
- разрабатывать и дорабатывать frontend функциональность
- участвовать в разработке веб-интерфейсов на JavaScript
- исправлять баги, писать и поддерживать код
- работать с командой разработки и аналитики
Условия:
- оплачиваемая стажировка 3 месяца с возможностью продления
- гибкий формат работы: удаленно или в офисе в Москве или Санкт-Петербурге
- занятость от 20 часов в неделю
- выдача рабочего ноутбука и доступ ко всем инструментам
- работа с опытными разработчиками и наставником
Location: London
Workplace: Hybrid
Why Technology at loveholidays?
At loveholidays - we trailblaze together. We’re on a mission to open the world to everyone, giving our customers’ unlimited choice, unmatched ease and unmissable value for their next getaway. Our team is the driving force behind our role as our customers’ personal holiday expert - the smart way to get away.
Technology at loveholidays underpins our vision to become the most loved OTA in Europe. We drive cutting-edge innovation and technical excellence to futureproof the business. Our systems process trillions of daily holiday offers, we deploy over a thousand times a month, serving thousands of requests per second. This is where you can accelerate your growth by solving complex challenges and broadening your skillset.
Join us to create impact for our future in an exciting new chapter, owning your success and contributing to shared goals. We actively talk about technology https://tech.loveholidays.com/ and adhere to our key technology principles https://tech.loveholidays.com/the-5-principles-that-helped-scale-loveholidays-7ea0b0fd3df9 that have guided us this far. We are growing and have ambitious plans to expand across Europe, employing the best minds and technology to let us do this.
The impact you'll have:
As a Principal Engineer in the Boost team, you'll be part of a group of principal engineers who champion technical excellence. The team acts as an enabling function, not a delivery arm. You will embed in other teams to help them improve and work faster. You will be hands-on, leading by example, and coaching others to drive technical excellence and innovation across the company. Your success will be measured by how you help others succeed.
Your responsibilities include:
- Own the team's functional KPIs, defining the measurable outcomes that show our impact.
- Help mission teams deliver faster, safer solutions by solving complex problems and training others to do the same.
- Champion AI adoption, applying it to both engineering processes and solutions.
- Coach our engineers, guiding their growth.
- Build tools to make the Boost team more effective and improve platform governance.
We are looking for a candidate with strong front-end skills. You will work across the various tech systems within our platform and be confident in your ability to quickly learn new technologies. We value an agile mindset, and a proven track record of delivery with teams.
For a better understanding of our work, refer to some of our blog posts:
- How loveholidays is solving the technical excellence paradox https://tech.loveholidays.com/how-loveholidays-is-solving-the-technical-excellence-paradox-933987956758
- Your AI Hates Your Prompts (And So Do You) https://tech.loveholidays.com/your-ai-hates-your-prompts-and-so-do-you-c05f59337b13
- Stop Chasing Ghost Errors: A Systematic Approach to Frontend Error Monitoring That Actually Works https://tech.loveholidays.com/stop-chasing-ghost-errors-a-systematic-approach-to-frontend-error-monitoring-that-actually-works-fe5e1c8790cc
- Does website speed contribute to customers booking holidays online? https://tech.loveholidays.com/does-website-speed-contribute-to-customers-booking-holidays-online-f17bd696bc30
- Creating a Zero Surprises Culture https://tech.loveholidays.com/from-firefighting-to-foresight-a-new-culture-of-software-reliability-affcf565f9b3
Or our open source contributions:
- github.com/loveholidays/ripley http://github.com/loveholidays/ripley
- github.com/loveholidays/eval-kit https://github.com/loveholidays/eval-kit
- github.com/loveholidays/po-test http://github.com/loveholidays/po-test
- github.com/loveholidays/mcp-html-share http://github.com/loveholidays/mcp-html-share
As part of our tech culture, we continuously improve our time to deliver, reduce errors, and generally leave things better than we found them.
Your day to day:
You will:
- Embed in mission teams to solve hard tech problems, coaching engineers hands-on to instill our core engineering principles https://tech.loveholidays.com/the-5-principles-that-helped-scale-loveholidays-7ea0b0fd3df9.
- Drive initiatives to apply AI to build better solutions and improve our engineering process.
- Build tooling and processes to accelerate and enable our platform development.
- Design and oversee impactful systems that run reliably at cloud scale.
- Write and speak about our tech work to raise our engineering profile.
Your skillset:
- Experience with AI-powered feature development and leveraging AI tooling for software delivery, with enthusiasm for transforming how we build and deliver software.
- Demonstrable history of working hands-on with engineering teams to solve complex technical challenges, building team capabilities and promoting sustainable practices.
- Seasoned facilitator who excels at pairing with engineers, leading technical discussions, and helping teams navigate architectural decisions through practical, hands-on collaboration.
- Ability to identify and scale successful technical patterns while connecting technical excellence to measurable business outcomes.
- A track record of building and optimising scalable, high-performance websites.
Perks of joining us:
- Company pension contributions at 5%.
- Individualised training budget for you to learn on the job and level yourself up.
- Discounted holidays for you, your family and friends.
- 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum.
- Ability to buy and sell annual leave.
- Cycle to work scheme, season ticket loan and eye care vouchers.
At loveholidays, we focus on developing an inclusive culture and environment that encourages personal growth and collective success. Each individual offers unique perspectives and ideas that increase the diversity and effectiveness of our teams. And we value the insight and potential you could bring on our continued journey.
The interview journey:
1. 1st stage interview with a member of our Talent Team
2. Introduction to loveholidays Engineering with our VP of Engineering (60 mins)
3. Presentation/Case Study with our VP and CTO (60 mins)
4. Technical interview with 2 of our Principal or Heads of Engineering (60 mins)
Location: European Union
Workplace: Remote
About the Role
We’re looking for a Senior Software Engineer to join a newly forming team that will own one of the most specialised and business-critical domains in our technology landscape - Game Engine.
This role sits at the intersection of engineering, game mathematics, platform, and compliance. You’ll work on the tools, frameworks, and services that enable our mathematicians and game teams to build, validate, run, and monitor game logic in production.
This position is about deep ownership of a very specific technical domain: game engines, mathematical packages, simulation data, RTP monitoring, round details, and integrations with games developed both internally and by external studios.
You’ll be part of a, experienced Core team with a high level of responsibility. The impact of this work is direct: incorrect game logic, missing round details, or inaccurate RTP monitoring can affect game delivery timelines, business performance, and regulatory readiness.
If you enjoy working close to complex domain logic, reviewing technical implementations, understanding how games work under the hood, and owning systems where precision matters - this role will feel like home.
Key Responsibilities
- Own, maintain, and evolve Playson’s Game Engine.
- Work on internal frameworks and libraries used by mathematicians to implement game logic and mathematical packages.
- Review and validate code written by mathematicians, ensuring quality, correctness, maintainability, and proper usage of internal frameworks.
- Contribute to the development and support of game engines used to run mathematical logic within our platform.
- Support integrations with external game studios by helping build wrappers and bridges between third-party game implementations and Playson’s platform.
- Work with data structures and protocols that connect game logic with frontend and backend systems.
- Contribute to RTP monitoring processes, including validation of production transaction data against simulation data and expected mathematical behaviour.
- Support and evolve tools used for mathematical review, simulations, data files, monitoring, and alerting.
- Implement and maintain round details logic required for regulated markets, ensuring that detailed game round information can be correctly provided to partners and regulators.
- Collaborate closely with mathematicians, backend engineers, platform teams, compliance stakeholders, and product representatives.
- Participate in code reviews and technical discussions to ensure a high engineering standard across the Game Engine domain.
- Investigate issues related to game logic, mathematical validation, monitoring, and engine behaviour.
- Participate in minimal on-call responsibilities related to the systems owned by the team, mainly around monitoring, alerts, and domain-specific incidents.
- Take ownership of a highly specialised area where quality, accuracy, and attention to detail are essential.
Requirements
- Strong software engineering experience, ideally in backend, game engine, gaming, gambling, betting, or simulation-heavy environments.
- Strong background in C++ and experience working with legacy C++ systems.
- Good understanding of software architecture, code quality, testing, debugging, and maintainability.
- Experience with mathematical models, probability-based systems, simulations, random generators, or RTP-related logic.
- Experience reviewing complex code and providing clear technical feedback.
- Ability to understand domain-specific logic and work with technical systems where business rules, mathematics, and engineering are closely connected.
- Strong problem-solving skills and ability to work with complex, non-standard technical challenges.
- Experience working with production systems where reliability, accuracy, and correctness are critical.
- Understanding of backend systems, APIs, data flows, and service-to-service communication.
- Ability to collaborate closely with non-engineering technical experts, especially mathematicians or domain specialists.
- Strong ownership mindset and willingness to become a key expert in a narrow but highly important technical domain.
- Product-oriented thinking, with an understanding that games are the core product and engineering decisions directly affect delivery, quality, and compliance.
- Experience in iGaming, gambling, betting, game development, or casino games.
- English communication skills sufficient for working in an international environment.
Nice to Have
- Experience with Node.js/TypeScript.
- Understanding of regulated markets and compliance requirements in iGaming.
- Experience with ClickHouse or other analytical/columnar databases.
- Experience with monitoring, alerting, and production diagnostics.
- Experience with AI-assisted code review or automated validation tools.
- Knowledge of microservices architecture and distributed systems.
- Familiarity with Kafka, gRPC, Kubernetes, or AWS.
- Experience integrating third-party games, external studio products, or wrapper-based solutions.
- Ukrainian language skills would be a plus.
What We Offer
- Competitive Salary
- Quarterly Bonuses
- Unlimited Paid Time Off
- Unlimited Paid Sick Leave
- Remote & Flexible Working
- Private Medical Insurance
- Financial Support for Life Events
- Professional Development Budget
- International Exposure
- Regular Company Events
*Benefits may vary depending on location and contractual agreement
Recruitment Process
- HR interview
- Technical interview (with Live coding)
- Final interview
Join us today!
By submitting your application, you acknowledge that your personal data will be processed in accordance with our Privacy Policy https://playson.com/privacy.
Обязанности:
• Разработка и оптимизация БД на PostgreSQL (индексы, запросы, профилирование)
• Разработка и поддержка backend-сервисов на Python (fastAPI)
• Участие в разработке frontend-приложений (React, React Native)
• Разработка и поддержка интеграций (REST API, внешние сервисы)
• Поддержка и постепенная модернизация legacy-систем (Delphi, Oracle, PHP)
• Диагностика и устранение ошибок и багов
• Деплой и сопровождение приложений (Docker, Kubernetes)
Требования:
• Уверенное владение Python (ООП, асинхронность, работа с декораторами)
• Опыт работы с PostgreSQL (индексы, оптимизация запросов, EXPLAIN ANALYZE)
• Понимание принципов REST API и HTTP
• Опыт разработки и интеграции API
• Опыт работы с GIT
• Опыт работы: от 3 лет
Условия:
• Официальное трудоустройство по ТК РФ с первого дня
• Удобный график 5/2
• Гарантированная зарплата без задержек + премии
• Бесплатный корпоративный транспорт от Казани (11 маршрутов вахтовых автобусов)
• ДМС – бесплатное медобслуживание в лучших клиниках города
• Оплачиваемые отпуск и больничный
• Ежегодный медосмотр
• Корпоративные мероприятия
• Льготная парковка для сотрудников (300 рублей 1 машиноместо/месяц)
Location: Singapore
Our mission
Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency.
With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students.
Please send your resume in English only.
The
Technical Automation QA (Playwright / TypeScript)
at
Constructor Tech
will play a critical role in designing, implementing, and evolving our automation strategy and frameworks with a focus on
Playwright
and
TypeScript
. This role combines deep technical expertise with a passion for efficiency, reliability, and innovation in testing — including the adoption of
AI-driven testing
and
Modular Composable Platforms (MCPs)
.
You will collaborate closely with development, DevOps, and QA teams to ensure automation excellence across all layers of the delivery process.
Key Responsibilities
Design, build, and maintain scalable automation frameworks
using
Playwright
and
TypeScript
for web and API testing.
Define and evolve test automation strategy
, processes, and best practices to ensure consistent quality across projects.
Develop and maintain
robust, reusable test suites and utilities for regression, smoke, and integration testing.
Integrate automation into CI/CD pipelines
(e.g., Jenkins, GitLab CI) to enable continuous testing and fast feedback loops.
Collaborate with developers and DevOps engineers
to ensure test environments and data are stable and reliable.
Apply white-box and gray-box testing techniques
to ensure thorough coverage of both frontend and backend components.
Contribute to the adoption of AI-assisted testing tools
and
automation intelligence
for test creation, maintenance, and analytics.
Participate in exploration and implementation of MCP-based automation components
and reusable service connectors.
Provide technical guidance through mentoring and peer reviews
, helping less experienced QAs enhance their automation expertise and code quality.
Continuously improve test performance, reliability, and reporting visibility
through innovation and tool evaluation.
Requirements
Bachelor’s degree in Computer Science, Information Technology, or equivalent experience.
4+ years of experience in QA and automation
, including
2+ years with Playwright
and
TypeScript
.
Proven experience in
building test automation frameworks from scratch
.
Solid understanding of
SDLC
,
QA methodologies
, and
automation design principles
.
Strong knowledge of
TypeScript
and/or
Python
for test development.
Experience with
REST API testing
,
SQL
, and relational databases.
Familiarity with
Jenkins
,
GitLab CI
, and
Git
for continuous integration and source control.
Strong analytical and troubleshooting skills with a proactive, ownership-driven mindset.
Fluent in
English
, both written and verbal.
Nice to Have
Experience with
AI-powered testing tools
or
model-based testing
.
Familiarity with
Linux
,
Docker
, and
Kubernetes (K8s)
.
Knowledge of
mobile automation frameworks
such as
Appium
or similar tools.
Understanding of
MCP architecture
and how it can enhance modular automation.
Knowledge of
performance
or
security testing
concepts.
Experience working in
Agile
or
Kanban
environments.
What We Offer
💻 Choice of work equipment (e.g., laptop, monitor, etc.)
🇬🇧 English classes (iTalki – $130 monthly)
⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00)
👶 Newborn bonus (€500 per child)
🧠 Patent remuneration
🌴 Paid leave
🧑💻 Remote work in locations without our offices
Hybrid work in locations with offices (2 days in-office, 3 days remote)
Constructor
fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.
Location: San Francisco; New York City
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and the Growth team owns the product loops that help them discover, adopt, and build lasting habits around our most important AI experiences.
As a growth engineer at Perplexity, you'll work across the full funnel — activation, onboarding, SEO, lifecycle, conversion, retention, and paid upgrade moments — while also building the applied AI systems that make those experiences smarter. Engineers are responsible for end-to-end projects from training and productionizing classifiers to identify high-intent users, personalizing value discovery, shipping contextual onboarding experiments, or wiring new AI capabilities into measurable adoption and revenue outcomes.
Growth at Perplexity goes beyond incremental funnel optimization. The team sits close to the core product - we translate behavioral signals, model outputs, and fast experimentation into durable product surfaces used across consumer and enterprise workflows. You'll move fast, run many experiments in parallel, and own the outcome end-to-end.
Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Eppo | AWS
WHY PERPLEXITY IS DIFFERENT
- Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious.
- Ownership. You identify the problem, design the solution and ship it.
- Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
- Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
- Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
WHAT YOU'LL DO
- Design, build, and own growth surfaces across the full funnel — activation, onboarding, SEO, lifecycle, conversion, retention, and paid upgrade moments — for Computer and every Perplexity product.
- Lead experiments end-to-end, from hypothesis and instrumentation through implementation, analysis, and rollout, shipping many in parallel and learning quickly from each.
- Build applied AI systems that power growth: classifiers for high-intent segments, personalization for value discovery, and AI-driven onboarding and recommendation surfaces.
- Launch vertical-specific experiences (e.g., students, enterprise organizations) that connect new AI capabilities to measurable adoption and revenue outcomes.
- Hill-climb on the metrics that matter: activation rate, paid conversion, retention, and habit formation, instrumented with clean data and trustworthy experiment readouts.
- Partner closely with Product, Design, Data Science, Monetization, Marketing, and Applied AI to translate behavioral signals and model outputs into durable product surfaces.
QUALIFICATIONS
- 2+ years of professional software engineering experience (we're open to strong junior and mid-level candidates with a track record of shipping).
- Full-stack engineering skills, with comfort across a modern web stack (we use Next.js, React, TypeScript on the frontend and Python on the backend).
- Strong execution: you ship many experiments and product improvements in parallel and drive them to a clear outcome.
- Familiarity with A/B testing and experimentation platforms (Eppo, Statsig, Optimizely, or in-house equivalents).
- Comfort with SQL and data-informed decision-making — you can pull, segment, and interpret your own funnel data.
- Strong product judgment; you translate user behavior and growth opportunities into simple, effective technical solutions.
- Self-motivated with strong ownership instincts; you propose experiments, ship features ahead of schedule, and drive improvements without asking for permission.
- Genuine interest and adoption of AI products and willingness to learn quickly.
NICE TO HAVE
- Direct experience on a growth, activation, conversion, retention, or lifecycle team at a consumer or PLG/self-serve SaaS company.
- Experience training and productionizing ML models (classifiers, ranking, personalization) and connecting them to product surfaces.
- Experience with SEO, lifecycle marketing tooling, or paid acquisition surfaces.
- Familiarity with subscription and/or usage based billing products, paywalls, or paid upgrade experimentation.
- Experience shipping for both consumer and enterprise audiences.
- Time spent at a fast-growing startup or on a high-ownership engineering team.
- Familiarity with mobile development - Swift/Objective-C/Kotlin/Java, in-app payments, mobile release cycles, Apple App Store and/or Google Play Store guidelines, and rollout monitoring
Location: San Francisco; New York City
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and the Growth team owns the product loops that help them discover, adopt, and build lasting habits around our most important AI experiences.
As a growth engineer at Perplexity, you'll work across the full funnel — activation, onboarding, SEO, lifecycle, conversion, retention, and paid upgrade moments — while also building the applied AI systems that make those experiences smarter. Engineers are responsible for end-to-end projects from training and productionizing classifiers to identify high-intent users, personalizing value discovery, shipping contextual onboarding experiments, or wiring new AI capabilities into measurable adoption and revenue outcomes.
Growth at Perplexity goes beyond incremental funnel optimization. The team sits close to the core product - we translate behavioral signals, model outputs, and fast experimentation into durable product surfaces used across consumer and enterprise workflows. You'll move fast, run many experiments in parallel, and own the outcome end-to-end.
Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Eppo | AWS
WHY PERPLEXITY IS DIFFERENT
- Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious.
- Ownership. You identify the problem, design the solution and ship it.
- Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
- Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
- Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
WHAT YOU'LL DO
- Design, build, and own growth surfaces across the full funnel — activation, onboarding, SEO, lifecycle, conversion, retention, and paid upgrade moments — for Computer and every Perplexity product.
- Lead experiments end-to-end, from hypothesis and instrumentation through implementation, analysis, and rollout, shipping many in parallel and learning quickly from each.
- Build applied AI systems that power growth: classifiers for high-intent segments, personalization for value discovery, and AI-driven onboarding and recommendation surfaces.
- Launch vertical-specific experiences (e.g., students, enterprise organizations) that connect new AI capabilities to measurable adoption and revenue outcomes.
- Hill-climb on the metrics that matter: activation rate, paid conversion, retention, and habit formation, instrumented with clean data and trustworthy experiment readouts.
- Partner closely with Product, Design, Data Science, Monetization, Marketing, and Applied AI to translate behavioral signals and model outputs into durable product surfaces.
QUALIFICATIONS
- 2+ years of professional software engineering experience (we're open to strong junior and mid-level candidates with a track record of shipping).
- Full-stack engineering skills, with comfort across a modern web stack (we use Next.js, React, TypeScript on the frontend and Python on the backend).
- Strong execution: you ship many experiments and product improvements in parallel and drive them to a clear outcome.
- Familiarity with A/B testing and experimentation platforms (Eppo, Statsig, Optimizely, or in-house equivalents).
- Comfort with SQL and data-informed decision-making — you can pull, segment, and interpret your own funnel data.
- Strong product judgment; you translate user behavior and growth opportunities into simple, effective technical solutions.
- Self-motivated with strong ownership instincts; you propose experiments, ship features ahead of schedule, and drive improvements without asking for permission.
- Genuine interest and adoption of AI products and willingness to learn quickly.
NICE TO HAVE
- Direct experience on a growth, activation, conversion, retention, or lifecycle team at a consumer or PLG/self-serve SaaS company.
- Experience training and productionizing ML models (classifiers, ranking, personalization) and connecting them to product surfaces.
- Experience with SEO, lifecycle marketing tooling, or paid acquisition surfaces.
- Familiarity with subscription and/or usage based billing products, paywalls, or paid upgrade experimentation.
- Experience shipping for both consumer and enterprise audiences.
- Time spent at a fast-growing startup or on a high-ownership engineering team.
- Familiarity with mobile development - Swift/Objective-C/Kotlin/Java, in-app payments, mobile release cycles, Apple App Store and/or Google Play Store guidelines, and rollout monitoring
Location: United States, Madison, WI
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Sr. Software Development Engineer In Test, ML/AI
At SIE, we believe in making play safer for everyone. Within our Information Security team, we protect our people, platforms, and products with smart, scalable, and thoughtful solutions. Our mission is to provide clear, actionable risk and security insights that guide the business and enable amazing player experiences.
We’re building a team that thrives on collaboration, curiosity, and delivering real value. Come help us make a difference!
Overview
We are hiring a Sr Software Engineer in Test specializing in ML/AI quality, including automation for model evaluation, LLM-assisted test generation, and validation of AI-powered workflows. The role includes guiding quality strategy and developing automation frameworks. You will also manage implementation for complex, cross-functional, machine learning-powered products and services. This role involves more than test development. You will lead quality initiatives from start to finish, ensuring teams stay synchronized, dependencies are managed, and releases are delivered confidently. You will work closely with ML, engineering, product, and infrastructure teams. You will shape how quality is built, monitored, and expanded while leading embedded QE efforts within projects.
What you’ll do
Define and complete quality strategies, test plans, and automation coverage for ML-powered services and platform components.
Use LLMs and other AI-assisted techniques to generate, expand, and maintain high-value test cases for ML-powered workflows.
Design scenario-based test suites for AI features, including adversarial prompts, edge cases, ambiguous inputs, and underrepresented user scenarios.
Lead QE efforts for multi-functional projects, driving risk assessment, dependency management, and release readiness.
Design, develop, and maintain scalable automation frameworks for backend services, APIs, and ML inference systems using Python and/or Java.
Build automated validation for ML and LLM outputs, including ranking behavior, score distributions, prompt/response quality, hallucination indicators, and probabilistic model evaluation.
Debug test failures, service anomalies, model inconsistencies, and AI behavior regressions to identify root causes and drive resolution.
Perform functional, integration, regression, API, end-to-end, performance, and reliability testing for distributed systems.
Improve automation reliability, reduce flakiness, and optimize execution efficiency.
Partner with engineering and ML teams to integrate automated testing into CI/CD pipelines and release workflows.
Collaborate across teams to establish scalable quality standards, tooling, and guidelines.
Required qualifications
Bachelor’s degree in Computer Science or equivalent
5+ years of experience as an SDET or QE engineer focused on backend and distributed systems.
Experience using LLMs to generate, transform, and prioritize test cases for AI-powered experiences.
Experience with AI evaluation tooling, prompt evaluation frameworks, model monitoring, or human-in-the-loop review workflows.
Strong experience testing RESTful APIs, microservices, and distributed architectures.
Proficiency in Python, Java, JS or similar languages for automation development.
Hands-on experience with automation frameworks such as pytest, JUnit, Selenium, Playwright, Cypress, or Appium.
Experience with CI/CD systems and test pipelines (Jenkins, GitHub Actions, etc.).
Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker).
Familiarity with databases, monitoring, and observability tools.
Strong understanding of SDLC, Agile methodologies, and release processes.
Excellent problem-solving, debugging, and communication skills.
Preferred qualifications
Experience validating ML outputs using statistical analysis or scenario-based testing approaches.
Familiarity with ML infrastructure, data pipelines, or model-serving platforms (Seldon, KServe, Ray Serve, etc.).
Prior work in content moderation ML, security, fraud detection, or adversarial ML.
Experience testing high-scale, low-latency online services.
Experience with Databricks or similar ML platform tooling.
Familiarity with Node.js, React, or modern frontend technologies.
Experience testing mobile, console, or other non-PC platforms.
What sets you apart
Strong combination of automation engineering and delivery ownership.
Ability to drive quality across complex cross-functional initiatives.
Practical understanding of how to test non-deterministic AI systems and separate model variance from quality regressions.
Proven risk management and dependency coordination skills.
Ability to influence engineering teams and promote quality guidelines.
Passion for scalable, reliable, and maintainable automation systems.
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role
is eligible
for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products.
This role also may be eligible for a bonus package.
Click
here
to learn more.
The estimated base pay range for this role is listed below.
$152,500
—
$228,700 USD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: Warsaw
Asana has an ambitious goal to bring reporting into the agentic era, and make it fast for every Asana product line to deliver great reporting experiences. We're starting Reporting Horizons, a new team in Warsaw, to accelerate our progress toward that goal.
The charter spans both product and platform. You'll collaborate with the Reporting Foundations team in New York to deliver agentic dashboards and a reporting platform every Asana product line can adopt quickly. Together, the two teams co-own the stack from frontend components to the database.
This role is based in our Warsaw 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. Working 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
Build a new engineering team in Warsaw from the ground up, hiring talented engineers, and helping each engineer grow in their career.
Guide architecture across the stack and coach engineers to make sound technical calls.
Establish strong planning and delivery practices, so the team can ship agentic dashboards and platform capabilities quickly without sacrificing quality.
Work cross-functionally with Product Management and Design, as well as the product teams that build on our platform, to define priorities and deliver intuitive capabilities.
Champion accountability for key outcomes, linking your team's everyday work to Asana's broader strategic goals.
Partner closely with the New York team to align on roadmap, ownership boundaries, and technical direction
About you
Experience leading engineering teams that build scalable web applications, with a deep understanding of software architecture, and a knack for coaching engineers through complex technical tradeoffs.
Experience building strong delivery practices that help teams ship predictably.
Curiosity about AI tools and emerging technologies, and excitement about building AI-native products.
Proven track record of collaborating effectively with Product Managers and Designers to balance technical health with user velocity.
Clear communicator and supportive leader who builds trust, gives direct feedback, and thrives in a collaborative environment.
At Asana, we're committed to building 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
Generous, transparent and fair compensation system (base salary and RSUs)
Contract of Employment (and the option of 50% tax deductible costs for author’s rights usage in respect of applicable roles)
Health insurance with dental and travel coverage (Lux Med)
Breakfast and lunch catering on the days that you work from the office
Vacation allowance
Career growth budget
Home office setup budget
Gym/Fitness card
Fertility healthcare and family-forming support with
Carrot
Mental Health Support in Modern Health
Group life insurance
MacBooks with all necessary accessories
For this role, the estimated base salary range is between 34 000 - 39 000 PLN gross per month (subject to all taxes and necessary deductions). 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 components such as equity and sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role.
#LI-Hybrid
.
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: 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
The Computer Use team teaches Claude to see and operate computer interfaces, and builds the agent harness and end-user products that turn that capability into real tools. The team sits inside Anthropic's research organization and closes the loop between product and model.
As a Product Engineer on this team, you'll own end-to-end delivery of our computer-use and browser-control product surfaces. You'll build across the full stack, from the user interface to the agent runtime to the backend services behind it. You'll work directly alongside researchers, with no layers between you and the model or the user.
This is a dynamic role in which priorities evolve frequently. Success depends on a high tolerance for ambiguity, the adaptability to shift focus as needs change, and the agility and discernment to continuously prioritize the highest impact work.
Key responsibilities
Own end-to-end delivery of computer-use and browser-control product surfaces: scope, build, ship, measure, and iterate
Diagnose and resolve reliability and robustness issues in the computer-use agent harness that block real-world usage
Partner with computer-use researchers
Partner with the Claude Cowork team on shared surfaces, integrations, and knowledge-worker workflows
Instrument products and use usage data to drive prioritization and measure progress
Translate fuzzy user pain points into concrete, shippable features for knowledge workers
Minimum qualifications
Experience building and shipping a product from zero to one with end-to-end ownership, as a founding or early engineer at a startup or with equivalent ownership inside a larger company
Strong full-stack engineering skills, including production web frontend and backend development
Hands-on experience building with LLM APIs, prompting, or agent frameworks
A track record of shipping to external users and iterating based on their feedback
Preferred qualifications
Strong product design instincts and the ability to produce a clean, usable interface without a dedicated designer
Experience with browser automation, desktop automation, or robotic process automation systems
Experience building evals or quality harnesses for machine learning systems
Comfort with lightweight data analysis, such as SQL, notebooks, and defining and tracking product metrics
Experience designing agent loops, tool integrations, or guardrails for LLM-based systems
Representative projects
Own and resolve the top reliability and robustness issues on the computer-control and browser-control product surfaces, with measurable improvement in task success rate
Take a net-new computer-use powered workflow from concept to external users, including instrumentation and a readout on usage
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:
$300,000
—
$320,000 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: Anywhere
Workplace: Remote
FINANCIAL SERVICES ARE BEING REBUILT FROM THE RAILS UP
Stablecoins, programmable blockchains, and AI are changing how financial services get built. For a decade, fintech took legacy banking, wrapped it in better software, and won on experience. The rails underneath never moved.
Now they do.
Altitude is a new kind of financial services company. Banking becomes a module, programmable like the rest of the stack. On top of it we are building the global business account: hold USD and EUR, earn APY on idle treasury, send money anywhere via local digital payment systems, across 150+ countries, no US entity required.
Built on Squads Protocol, the treasury infrastructure securing $10B+ in assets. Backed by Haun Ventures, Multicoin Capital, Electric Capital, and Coinbase Ventures.
THE ROLE
Product engineer is the job for people who want the whole arc: the problem, the design, the code, and the thing customers actually touch.
You will work directly with founders and designers, take features from a rough idea to shipped, and own them after they ship. There is no layer of project managers translating between you and the product. The distance between "this should exist" and "this is live" is meant to be short, and you are the person who keeps it short.
This is money infrastructure, so the bar is high. The interfaces should feel obvious. The code underneath should be careful. Both matter, and we do not trade one for the other.
WHAT YOU WILL DO
- Build customer-facing features across the stack, from the account experience down to the money movement underneath it
- Work shoulder to shoulder with design on flows where clarity and trust are the product, not decoration
- Ship payments, FX, yield, and treasury features on rails that settle 24/7
- Integrate with onchain infrastructure and a wide network of PSPs
- Own performance, correctness, and the edge cases that matter more when real money is moving
- Help shape what gets built, not just how it gets built, and push back when something does not feel right
WHAT WE LOOK FOR
- You have shipped customer-facing products end to end, and you can point to ones you are proud of
- Strong fundamentals in TypeScript and React, and comfort working across the full stack
- Product taste: you care about UX, speed, and polish, and you notice when something is off
- High ownership. You do your best work with autonomy and a clear problem, not a ticket queue
- Care for craft that shows up in the details, especially the ones nobody asked about
- You move fast without getting sloppy
BONUS, NOT REQUIRED
- Background in fintech, payments, or anything where correctness and money intersect
- Familiarity with Solana, smart accounts, or stablecoins
- Experience with the Tanstack ecosystem, or building and maintaining a design system
OUR STACK
- Frontend: Typescript, SPA, Tanstack (Start, DB, Form), ElectricSQL, Zod, PandaCSS
- Backend: Rust, Axum, Temporal, Postgres, Redis
- Infra: AWS
- You do not need every item on that list. You should be the kind of engineer who is glad to work this close to product, performance, and real money at real scale.
HOW WE WORK
Small team, high trust, fast execution. A few things we actually mean:
- Craftsmanship excellence. Every contribution, whatever its size, meets a high bar
- Bias for action. We would rather ship, learn, and correct than wait for certainty
- Radical transparency. Respectful candor over comfortable silence
- Kindness matters. It compounds, internally and with every customer
WHAT WE OFFER
- Competitive compensation with meaningful equity and real upside
- Unlimited, flexible PTO and a flexible schedule
- Company laptop and an allowance for whatever else you need to do your best work
- Two company-paid off-sites per year
Location: The Netherlands
Workplace: Remote
ABOUT THE TEAM
The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists.
WHAT YOU WILL DO
- Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform.
- API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services.
- Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools.
- Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation.
- Oncall: Participate in the daytime oncall rotation along with the rest of the team.
- Developer Experience: Design and implement developer tools, SDKs, and documentation that enable users to leverage ClickHouse’s AI/ML capabilities.
WHAT YOU WILL BRING ALONG
- 5+ years of software engineering experience in production environments
- Exposure to working directly with AI/ML technologies
- Backend development experience in TypeScript or Python, with a focus on API design and service architecture
- A high level of ownership and can drive features from concept to production with minimal supervision
- Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders
Nice to have
- Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases
- Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment
- Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus
#LI-Remote
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new eligible team member who joins our company receives equity.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: Germany
Workplace: Remote
ABOUT THE TEAM
The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists.
WHAT YOU WILL DO
- Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform.
- API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services.
- Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools.
- Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation.
- Oncall: Participate in the daytime oncall rotation along with the rest of the team.
- Developer Experience: Design and implement developer tools, SDKs, and documentation that enable users to leverage ClickHouse’s AI/ML capabilities.
WHAT YOU WILL BRING ALONG
- 5+ years of software engineering experience in production environments
- Exposure to working directly with AI/ML technologies
- Backend development experience in TypeScript or Python, with a focus on API design and service architecture
- A high level of ownership and can drive features from concept to production with minimal supervision
- Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders
Nice to have
- Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases
- Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment
- Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus
#LI-remote
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new eligible team member who joins our company receives equity.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: Hamburg
Workplace: Hybrid
adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually.
Transforming 50M+ daily events into real-time actionable dashboard insights
The Dashboards team is responsible for the systems and interfaces that define our partners' daily operations. We build the campaign management APIs, analytics engines, and high-throughput tools that allow advertisers and publishers to configure, monitor, and optimize their activity on our platform.
This is not about simple CRUD interfaces, it is about building high-performance data surfaces that drive massive business decisions. Using Go, Kafka, and Druid, we process and render real-time analytics across 50+ million daily events, ensuring accuracy and complex campaign performance reporting at scale. On the frontend, we tackle genuine engineering constraints: utilizing TypeScript and React, we have moved beyond standard library limitations to build highly optimized graph-rendering with Recharts capable of visualizing datasets that would overload conventional solutions.
Your Mission & Who We Are Looking For:
- 3+ years as a Product Owner in a fast-paced environment. You have hands-on experience with agile development and a track record of taking features from concept to launch. At adjoe, you'll own the Advertiser Tools product end-to-end, managing a dedicated development team, driving the roadmap, and making strategic decisions that directly impact advertiser performance.
- High ownership, low ambiguity tolerance. You prioritize ruthlessly based on user and business needs, work independently, and make objective calls when requirements are still evolving. You've delivered at least one significant 0-to-1 product iteration and know what it takes to ship at pace without sacrificing quality.
- Bridges business and engineering naturally. You're as comfortable presenting a product roadmap to management and external partners as you are discussing technical tradeoffs with engineers. You close the gap between what the business wants and what the system can realistically deliver.
- KPI-driven team lead. You manage team progress with a strong focus on delivering measurable impact for our advertisers and create solutions that meet their goals.
- Develops the people, not just the product. You guide and grow the individuals on your team, helping them operate at their best even as requirements and priorities shift.
- Plus: AdTech background. Experience in an adtech company is a plus, not a requirement.
🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team.
What’s in It for You?
At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day.
- Go Big. Own projects with impact on 770M users and push adtech boundaries.
- Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum.
- Be Direct. Solve problems openly and collaborate across teams.
- Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other.
- Have Fun. Celebrate wins, enjoy daily victories, and bring your energy.
We welcome applications from people who will contribute to the diversity of our company.
Location: Hamburg
adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually.
Creating solutions that run on 13% of the world’s smartphones
The Mobile Integrations team builds the core technology that turns advertising from an interruption into a rewarded experience for 770 million users. We own the robust, lightweight,integration layer between our ad engine and the global mobile ecosystem, ensuring our technology operates with minimal overhead while reaching a massive portion of the smartphone market.
On the client side,our technology performs smoothly across 20 million daily SDK initializations. We build native Swift and Kotlin SDKs optimized for ms initialization and minimal binary overhead, with Unity, Flutter, and React Native wrappers that provide a unified API across the entire mobile ecosystem. Behind the scenes, a high-throughput Go and DynamoDB architecture handles the real-time state synchronization of millions of concurrent sessions. When your code runs on nearly one out of every seven smartphones on Earth, every millisecond of execution and every byte of memory counts.
Your Mission & Who We Are Looking For:
- Documentation is your product. You have 2–4+ years in Developer Relations, Solutions Engineering, or Technical Account Management. You own and evolve external developer documentation end-to-end: API references, SDK guides, integration tutorials, and example applications, and treat it with the same rigor as shipping code. You drive documentation standards and consistency across teams.
- You build to validate. You create lightweight demos and sample apps in Swift or Kotlin to test and support what you document. You contribute directly to documentation tooling like Docusaurus, including Markdown, frontend components, and styling. You're comfortable with mobile SDKs, APIs, HTML, and JavaScript/TypeScript to identify friction in the developer experience and fix it.
- AI-assisted, not AI-dependent. You use code copilots and LLMs to explore unfamiliar codebases, analyze SDKs, and accelerate content creation, but you validate every output for technical accuracy. You're also comfortable building and maintaining AI tools, like publisher-facing integration assistants, to reduce integration friction at scale.
- Debugging is part of the job. On the support side, you perform root cause analysis across mobile apps, APIs, and data flows, working with SQL, dashboards, and logs to investigate integration health and performance issues. You collaborate with TAMs and Growth Managers on technical escalations.
- Cross-functional and cross-regional by default. You manage multiple documentation and integration projects in parallel, work across Product, Engineering, and Product Marketing to deliver documentation at launch, and optimize resources culturally and linguistically across regions. Strong organizational skills and the ability to bring structure where none exists are a must. AdTech, mobile monetization, or SDK-based product experience is a strong plus.
🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team.
What’s in It for You?
At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day.
- Go Big. Own projects with impact on 770M users and push adtech boundaries.
- Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum.
- Be Direct. Solve problems openly and collaborate across teams.
- Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other.
- Have Fun. Celebrate wins, enjoy daily victories, and bring your energy.
We welcome applications from people who will contribute to the diversity of our company.
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London
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