Location: Estonia; Latvia; Lithuania
Top 3 Reasons To Join Us
Competitive Salary
International Environment
Working on the latest tech for the Insurtech Market Leader
About Us
At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone.
We are a leading global no-code insurance platform for health, life, and P&C
We’re the winner of the Insurtech of the Year in all of Asia and other awards globally
We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more
We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world
We are fully funded and backed by reputable VC funds and strategic institutional investors
We have a global presence in Asia, EMEA and the Americas
We’ve grown our annualized revenue by over 30x since January 2021
We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world
What You Will Do
Design, implement and maintain new features and functionalities for the SAAS platform, understanding the requirements of insurance businesses and translating them into scalable and efficient software solutions
Work on both the front-end and back-end of the application, demonstrating expertise in various technologies, frameworks, and programming languages
Work collaboratively with product, design, engineering teams, and UX designers to understand end-user requirements, use cases, and technical concepts, translating them into a cohesive and effective solution while ensuring a seamless user experience.
Optimize the performance of the application to handle large amounts of data and high user traffic, delivering a smooth user experience
Participate in code reviews and enforce best coding practices, while also writing and executing unit tests and integration tests to maintain code quality
Investigate and promptly fix bugs to maintain the reliability of the platform
Ensure security and compliance by following best practices for securing web applications and adhering to relevant regulations in handling sensitive customer data
Stay up-to-date with the latest technologies, frameworks, and best practices to ensure we remain competitive and innovative
Design the platform with scalability and flexibility in mind, accommodating new features and changes as the number of clients and users grows
Provide mentorship to junior developers, aiding in their technical growth and effective contribution to the team's goals
What We Need
Proven experience 6 years as a Full Stack Engineer, working on complex SAAS applications
Strong technical background with proficiency in back-end technologies, such as .NET Core, C#, GraphQL, MongoDB, Docker
Proficiency in front-end technologies such as Javascript, Vue.js and/or React.js
Familiarity with cloud platforms like AWS, Azure, or Google Cloud for building scalable applications
Experience with microservices and/or clean architecture
Thorough understanding and practical experience with Test-Driven Development (TDD) to ensure robust and well-tested code
Experience with unit, integration and function testing using front-end and back-end testing libraries
Proficiency in Domain-Driven Design (DDD) principles to create a maintainable and modular architecture that aligns with business domains
In-depth knowledge of web security best practices and experience in ensuring compliance with industry regulations
Demonstrated experience in performance optimization for high-traffic web applications
Experience with container technologies like docker and good understanding of cloud infrastructure and solutions.
Experience with agile development methodologies and collaborating with cross-functional teams
Excellent problem-solving skills and a proactive approach to troubleshooting and bug fixing
Strong communication skills to effectively interact with both technical and non-technical team members with diverse backgrounds
A passion for staying updated with the latest trends, technologies, and best practices in software development
Why You'll Love Working Here
Competitive renumeration package
International Environment
15 days annual leave, 10 sick leaves, special leaves
Annual Performance Bonus
Company activities and events
Learning and development plan
CoverGo Company
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Задачи:
— Проводить занятия по программе Академии в соответствии с учебным планом
— Готовить материалы и практические задания
— Показывать практическое применение AI-инструментов
— Вести проектную работу со студентами от идеи до мини-продукта
— Проверять домашние задания и давать обратную связь
— Вести электронный журнал, отмечать посещаемость и оценки
Требования:
— Среднее или высшее образование в сфере IT или смежных направлениях
— Опыт работы в IT желателен
— Уверенное владение ChatGPT, Claude, Gemini, Perplexity
— Опыт работы с AI-генераторами изображений: Leonardo AI, Midjourney, Firefly, Recraft
— Основы Prompt Engineering и no-code автоматизации: Make, n8n, Zapier
— Знакомство с AI-видео и озвучкой: Runway, CapCut, ElevenLabs, HeyGen
— Понимание API, базовых интеграций и основ Python в Google Colab и Replit
— Умение объяснять сложное простым языком и увлечь аудиторию
Условия:
— Офлайн-работа в филиале в Уральске, ул. Алии Молдагуловой, 25
— Занятия 2 раза в неделю по 2 часа 50 минут в вечернее время
— Оплата от 4 000 ₸ за пару
— Возможность совмещать преподавание с основной работой
— Гибкий график
— Частичная занятость
About the Role:
We're hiring our first Senior GTM AI Engineer. This is a software engineering job inside the revenue org. You will build the pipelines, internal tools, and agents that decide which companies we go after, how we reach them, and what our sellers see when they open their laptop in the morning. Most of what a sales ops team used to do by hand is now something you can write software to do. Tasks include finding every company building voice AI before they contact us, researching accounts and drafting first emails, watching product usage to alert AEs about customer expansion or churn, and keeping the CRM clean without manual form filling. You will build those systems, run them in production, and be judged on whether pipeline and revenue move. Your users are AEs, SDRs, and GTM leaders. Your job is to make a small team perform like one three times its size.
What You'll Do:
— Write code every day, mainly Python services, SQL models, scheduled jobs, and small internal apps.
— Use Claude Code and similar tools to ship quickly.
— Build agents for account research, lead qualification, outreach drafting, CRM hygiene, and usage monitoring.
— Design, equip, evaluate, and maintain these agents.
— Turn product usage data in BigQuery and Looker into actionable signals for sellers.
— Build the account targeting machine: sourcing, enrichment, deduplication, and ICP scoring.
— Integrate existing systems (CRM, enrichment providers, outbound tools) for seamless data flow.
— Maintain funnel data trustworthiness through routing rules, field governance, and attribution.
— Prototype rapidly, measure effectiveness, discontinue ineffective solutions, and collaborate with Sales and Marketing leadership.
— Document your work for sustainability.
What You'll Need:
— 4+ years as a software engineer, data engineer, or growth/GTM engineer with experience shipping systems others depend on.
— Strong Python and SQL skills.
— Ownership of production automations end to end: APIs, webhooks, scheduled jobs, retries, error handling, and monitoring.
— Experience building with LLMs beyond single prompts: multi-step agents, tool use, retrieval, and evaluation.
— Ability to assess agent output quality and choose appropriate tools.
— AI-assisted development experience using tools like Claude Code daily.
— Solid fundamentals: clean code, version control, code review, debugging, and systems thinking.
— Ability to ship independently without an engineering team.
— Curiosity about sales organizations and willingness to learn CRM and related tools.
— Builder's mindset with operator's judgment: scoping for business impact, iterative shipping, and measuring pipeline and revenue results.
— Low ego, high ownership, and comfort as a single-threaded owner of a domain.
Nice to Have:
— Hands-on Salesforce or other CRM experience at object and API level, or experience with enrichment and outbound tools like Clay.
— Experience with dbt, BigQuery, Looker, or equivalent warehouse and BI stack.
— Experience at developer-facing or API-first companies or selling to technical buyers.
— Experience as the first engineer in a sales or growth org building the function from scratch.
Pay Transparency:
Salary range: $160,000 to $220,000 per year for candidates in the U.S. Adjustments may apply for other regions.
Задачи:
— Разрабатывать и совершенствовать AI-инструменты, агенты и рабочие процессы, повышающие эффективность и качество работы QA-команды.
— Определять повторяющиеся или значимые QA-активности и превращать их в масштабируемые AI-решения.
— Создавать интеграции между AI-возможностями и системами тестирования, инженерии и внутренними системами.
— Определять технические стандарты и лучшие практики для AI-решений в QA, включая промпты, контекст, инструменты, рабочие процессы агентов и процессы с участием человека.
— Разрабатывать механизмы оценки AI-выходных данных, измерения качества и обнаружения регрессий.
— Контролировать и улучшать надежность, производительность и стоимость AI-решений.
— Быть техническим центром компетенций по AI в QA-команде, способствовать внедрению, обмену знаниями и экспериментам.
— Тесно сотрудничать с QA-инженерами и инженерными командами для превращения реальных задач в практические решения.
Требования:
— Опыт работы 5+ лет в области Software Quality Engineering, Test Automation или Software Engineering.
— Опыт работы с фреймворками автоматизации тестирования, такими как Playwright, Cypress или аналогичными.
— Навыки программирования на JavaScript/TypeScript или Python.
— Практический опыт создания AI-инструментов, приложений, рабочих процессов или агентов с использованием LLM.
— Понимание агентных рабочих процессов, prompt и context engineering, tool calling, MCP и интеграций API.
— Опыт превращения экспериментальных решений в надежные и поддерживаемые инженерные продукты.
— Знания основ QA, включая дизайн тестов, регрессионное и исследовательское тестирование.
— Опыт работы с API, базами данных и распределенными системами.
— Опыт работы с CI/CD системами, такими как GitHub Actions, Jenkins или аналогичными.
— Сильные навыки решения проблем и способность самостоятельно вести технические инициативы.
Будет плюсом:
— Опыт оценки выходных данных LLM или агентов и измерения качества AI-решений.
— Опыт создания внутренних платформ для разработчиков, инженеров или QA.
— Опыт работы с системами наблюдаемости и распределенными системами.
— Опыт интеграции AI с инструментами, такими как GitHub, Jira, Confluence или CI/CD платформами.
— Опыт работы с Kubernetes или облачной инфраструктурой.
— Опыт в AdTech или программной рекламе.
Условия:
— Поддержка от HR-команды.
— 20 дней оплачиваемого отпуска.
— Оплата членства в Multisport.
— Медицинская страховка.
— Конкурентная компенсация, отражающая вклад и усилия сотрудника.
УдалённоseniorГеография найма не уточнена, офис: Poland
Задачи:
— Проектировать и развивать LLM/AI-системы и AI-агентов;
— Строить многошаговые agentic workflows: routing, tool calling, state management;
— Работать с Prompt Engineering и Context Engineering;
— Управлять контекстом, памятью и состоянием диалога;
— Реализовывать structured output и function/tool calling;
— Строить RAG-пайплайны: chunking, embeddings, retrieval, reranking;
— Интегрировать LLM с API, базами данных и внутренними сервисами;
— Разрабатывать backend-сервисы на Go и AI-компоненты на Python;
— Исследовать новые модели и подходы, быстро проверять гипотезы;
— Выбирать модели с учетом качества, latency и стоимости;
— Строить систему оценки качества: evals, regression tests, golden datasets, LLM-as-a-judge;
— Анализировать логи и traces, улучшать качество и стабильность агентов;
— Реализовывать retries, fallbacks, timeouts и обработку ошибок;
— Доводить решения от прототипа до стабильного production.
Требования:
Go:
— production-сервисы;
— REST/gRPC API;
— concurrency;
— работа с БД;
— микросервисная архитектура.
Python:
— AI-сервисы и backend;
— async;
— API;
— обработка данных;
— быстрое прототипирование.
Также важно:
— Практический опыт разработки production-приложений с LLM;
— Понимание архитектуры современных AI-систем: prompt → context → tools → agent → state → evaluation;
— Опыт Prompt Engineering: system prompts, few-shot, prompt chaining, structured output;
— Опыт Context Engineering: memory, summarization, динамическая сборка контекста;
— Опыт создания AI-агентов и agentic workflows;
— Работа с LLM API и понимание особенностей разных моделей;
— Понимание RAG: embeddings, vector search, retrieval, reranking, hybrid search;
— Понимание evals, regression testing и анализа production-логов;
— Опыт с PostgreSQL, MongoDB, Redis, Docker, Git, CI/CD;
— Понимание production-подходов: observability, scalability, latency, retries, fallbacks и контроль стоимости.
Будет плюсом:
— Multi-agent системы;
— LangGraph;
— MCP;
— Langfuse / LangSmith;
— Elasticsearch / OpenSearch;
— Open-source LLM: Qwen, Llama, DeepSeek и др.;
— vLLM / Ollama;
— Kafka / RabbitMQ;
— Kubernetes;
— Оптимизация token usage, latency и стоимости LLM;
— Guardrails и защита от prompt injection;
— Highload-системы.
Важно:
Ищем инженера, который воспринимает LLM не как простой API, а как компонент большой production-системы. Важно уметь проектировать всю логику вокруг модели: какие данные передать в контекст, какого агента или инструмент вызвать, как проверить результат, обработать ошибку и определить следующий шаг. Ищем software engineer с сильной AI/LLM-экспертизой, который умеет не только написать хороший промпт, но и довести всю систему до стабильного production-решения.
Задачи:
— Разработка мультиагентных систем и AI-агентов.
— Построение RAG-пайплайнов и работа с векторными БД.
— Интеграция LLM с внутренними сервисами через REST API и OAuth2.
— Автоматизация бизнес-процессов, генерация отчётов и обработка данных.
— Проектирование промптов и LLM-сценариев.
— Обеспечение безопасности чувствительных данных.
Требования:
— Уверенное знание JavaScript/TypeScript и Python.
— Опыт разработки GenAI-агентов и мультиагентных систем.
— Знание LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen или аналогов.
— Опыт работы с n8n, Dify, Flowise или Langflow.
— Опыт работы с RAG, PostgreSQL, JSON и векторными БД (Qdrant, PGVector, Milvus).
— Знание REST API, OAuth2 и prompt engineering.
— Готовность работать с Windows.
Будет плюсом опыт в банковских и корпоративных проектах, мониторинге LLM-приложений и микросервисной архитектуре.
Условия:
— Зарплата обсуждается индивидуально.
— Полностью удалённо, из любого региона РФ.
— Full-time, гибкий график с синхронизацией по МСК.
— Официальное оформление по ТК РФ.
— Возможность влиять на архитектуру и внедрять GenAI-решения в корпоративную среду.
Location: Singapore
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs.
WHAT YOU'LL DO
As an Agent Strategist https://sierra.ai/blog/agent-strategist-your-phd-in-applied-ai, you own how Sierra's AI agents come to life for our customers — from first pilot to a production agent handling thousands of conversations a day. You sit at the intersection of product, building agents and customer-facing work, and stay just as close to the technology as you are to the people you build for. You transform a customer's thorniest, highest-stakes problems into agents that measurably move their business.
- Own the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle. Take agents from initial scope through conversation design, tooling, and evaluation, to launch and continuous iteration in production — translating business goals into an agent that outperforms, and tuning relentlessly until it's the best version of itself in the real world. You'll have real ownership and autonomy over the outcome.
- Be the trusted strategic advisor to enterprise leaders. Sit shoulder-to-shoulder with our customers' executives, understand what success actually means to their business, and shape the AI strategy that gets them there.
- Partner with the customer's working teams day to day. Run working sessions, troubleshoot the agent as issues come up, and make the calls that keep the build on track for launch.
- Directly impact product. Surface unmet needs from your customer work, and feed them back to research and platform to shape where Sierra goes next.
EXAMPLE PROJECTS
These are the kinds of projects that strategists on our team have worked on recently:
- Scope and launch a subscription-retention agent for a large telecommunications or media company that consistently outperforms human agents at saving at-risk customers.
- Stand up an agent for a commerce customer that troubleshoots a broken device end-to-end and personalizes product recommendations in the same conversation.
- Redesign the conversation flows for a financial services agent so it can handle complex, regulated interactions — and convert a pilot into a multi-team production deployment. See our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services for examples.
- Partner with product on a net-new capability — a new agent architecture or self-service tooling — using a live customer as the design partner.
- Define the evaluation and quality bar for a new agent, then use those metrics to drive a measurable lift in outcome https://sierra.ai/blog/outcome-based-pricing-for-ai-agents week over week.
WHAT YOU'LL BRING
- Customer obsession. Genuine energy being in front of customers — understanding their business and needs, thriving in complex organizations, and building trusted relationships.
- Communication. Clear, direct, and persuasive across technical and non-technical audiences.
- Strategic problem-solving in ambiguity. Strong analytical and critical-thinking skills to break down complex problems, spot risks early, and adapt as things change fast.
- Technical aptitude. Comfortable engaging directly with technical concepts - reading API documentation, understanding data models and system architecture, and following engineering tradeoffs in a design discussion.
- Ownership and delivery. A track record of running multiple complex, high-visibility projects at once and driving them to outcomes.
EVEN BETTER...
- Experience building or deploying AI/LLM agents in production — hands-on with the tools behind them (eval frameworks, agent tooling, RAG, prompt engineering) — working closely with technical counterparts.
- You've been a founder, founding team member, or operator — you know how to balance craft, ownership, and speed.
- A degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience — and/or an MBA or comparable experience at the intersection of technology and business.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits
- Lunch, as well as delicious snacks and coffee to keep you energized when working onsite
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description.
Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy.
We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.
Location: United States, Aliso Viejo, CA
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.
Senior Software Engineer - AI & Agentic Architecture
This is a senior individual-contributor role combining deep hands-on engineering with multiple agentic frameworks & SDKs, harnesses, MCP, and APIs, technical leadership, and close collaboration with engineering, security, and product teams. You'll design and ship agentic systems, developer tooling, and reusable platform capabilities that improve productivity across SIE.
What you'll do:
Agentic & AI Engineering
Design, build, and operate production-quality agentic applications using agentic SDKs/harnesses — including multi-agent orchestration, subagent delegation, tool integration, and lifecycle hooks.
Design Model Context Protocol (MCP) tool and resource interfaces that give coding agents/harnesses safe, reliable access to backend systems and enterprise data.
Engineer prompts for reliable structured output (JSON schemas, few-shot examples, validation/retry loops) and build evaluation frameworks to measure and improve output quality.
Manage context effectively across long documents, multi-turn conversations, and multi-agent handoffs; design escalation and human-in-the-loop patterns for production reliability.
Developer Productivity
Configure and extend Codex/Claude Code for team-wide use:
AGENTS.md/CLAUDE.md
hierarchies, custom slash commands, Agent Skills, path-specific rules, and plan mode.
Integrate agentic development into CI/CD pipelines for automated code review, test generation, and PR feedback, tuned to minimize false positives and duplicate findings.
Build and maintain MCP server integrations (project- and user-scoped) that extend agent-native development capabilities across engineering workflows.
Identify high-value opportunities for AI-assisted development and design reusable capabilities that multiple teams can adopt, not just one-off solutions.
Discovery, Prototyping & Production Delivery
Partner directly with engineering teams to understand workflows, pain points, and opportunities through hands-on discovery.
Rapidly prototype and validate new AI capabilities with real users, then take successful prototypes into secure, observable, maintainable production systems.
Own the full lifecycle: implementation, testing, deployment, monitoring, and iteration.
Technical Leadership
Provide hands-on technical leadership through architecture discussions, code reviews, and troubleshooting of agentic systems.
Mentor engineers on agentic design patterns, prompt engineering, and agent-native development practices.
Communicate tradeoffs, risks, and results clearly to both technical and non-technical stakeholders.
Contribute to engineering standards, reusable patterns, and documentation that help other teams build effectively with agentic development tools.
Requirements
6+ years of professional software engineering experience, including significant hands-on work building and operating AI/LLM-powered or agentic applications.
Strong programming skills (Java, Python, Go, Rust, or C++) and solid engineering fundamentals — API design, testing, debugging, code review, maintainable code.
Practical, production-grade experience with agentic SDKs/harnesses, MCP, and LLMs — tool use, orchestration, RAG, context management, structured output, and evaluation.
Experience designing MCP tool/resource interfaces and reasoning about tool selection, error handling, and reliability in multi-agent systems.
Demonstrated experience integrating AI into CI/CD and developer workflows.
Ability to work in ambiguous problem spaces, evaluate tradeoffs, and make pragmatic engineering decisions.
Strong written and verbal communication skills, with experience mentoring and leading through influence.
Bachelor’s degree or equivalent.
Preferred Qualifications
Demonstrated expertise across agentic architecture, MCP integration, Codex/Claude Code configuration, prompt engineering, and context management.
Experience building multi-agent research or customer support systems, or structured data extraction pipelines.
Experience with AWS, Docker, Kubernetes, Terraform, and GitOps in support of AI/agentic infrastructure.
Familiarity with vector databases, embeddings, and AI evaluation frameworks.
Contributions to open-source projects involving AI, agentic systems, or developer tooling.
Strong systems thinking — understands how models, agents, tools, context, APIs, data, and infrastructure fit together as production systems, and can reason about dependencies and tradeoffs across the stack.
A track record of adapting quickly to new AI tools, models, and frameworks as the space evolves.
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.
$177,300
—
$265,900 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: Remote - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
About the Role
Reddit’s
Ads Creative Effectiveness
team sits at the heart of our creative strategy, building GenAI and predictive products that help advertisers ship high-impact campaigns. We are searching for a Staff engineer with in-depth GenAI expertise that can help us build the future of generative products for ad creative at Reddit - best-in-class image, video and copy generators that leverage Reddit’s best practices, performance-guided generations that maximize clicks and conversions, and brand safe, product preserving image/video editing pipelines.
What you’ll do:
Advanced Generative Workflows:
Architect and implement state-of-the-art pipelines for ad creative generation. You will move beyond vanilla prompting to build systems capable of
product, font, logo and brand asset preservation
using techniques like IP-Adapters, and LoRAs.
End-to-End Image & Video Editing:
Build editing capabilities allowing advertisers to smart-crop, inpaint, outpaint, resize, and style-transfer assets while maintaining strict brand guidelines.
LLM/VLM Fine-Tuning:
Adapt large vision-language models to understand "winning" ad aesthetics. You will build feedback loops where ad performance metrics (CTR, CVR) are used to fine-tune the generation process (RLHF/RLPF for Ads).
Safety & Compliance Layer:
engineer robust filtering and safety systems. You ensure our models never generate non-compliant, unsafe, or copyright-infringing content.
Partner Broadly:
Collaborate with Product, Sales, Policy, UX, and sibling Ads ML teams to integrate ACE capabilities into the Ad Manager UI and the ad delivery path.
Guardrails & Safety:
Embed brand-safety filters, copyright checks, and human-in-the-loop escalation paths to protect users and advertisers.
What we’re looking for:
Deep ML Expertise:
Hands-on experience with tree models, neural nets, ranking, and especially LLM/VLM fine-tuning & RLHF/RLPF for ads.
Quant & Experimentation Chops:
Comfort with uplift metrics, variance, minimum detectable effects and experimentation setups for generative systems.
Ads / Marketplace Insight:
Understanding auction dynamics and advertiser pain points to create tools that drive revenue and retention.
Startup Mindset:
Bias to action, comfort with ambiguity, and scrappiness: ACE evolved from a startup acquisition and still moves fast.
Communication Superpowers:
Able to distill complex ML trade-offs for executives, product managers, and non-technical stakeholders alike.
Prior work on ad creative tooling:
Headline generators, image generators, pre-test models, editing flows for the advertiser.
Nice-to-have
Experience navigating brand-safety, privacy, or copyright frameworks in generative AI products.
Benefits:
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$230,000
—
$322,000 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: Vancouver, BC
We’re looking for a Senior Product Manager to lead AI Studio, Asana's AI workflow builder, in Vancouver. The Product Management team drives Asana’s product strategy and execution, translating customer needs and opportunities into a compelling roadmap and working cross-functionally to deliver impactful solutions for team productivity and collaboration. In this role, you will own an end-to-end AI product that powers millions of workflows, enabling large enterprise organizations to build, govern, and deploy AI at scale across their organizations. You will join a dynamic cross-functional environment working directly with Engineering, Design, Experience Research, Data Science, and Go-To-Market teams to turn system-critical processes into reliable, automated work inside Asana's work graph.
This role is based in our Vancouver 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
Own the product vision and prioritized roadmap for AI Studio end to end, tying every investment directly to customer impact, business outcomes, and Asana's mission.
Drive direct business outcomes for a consumption-based AI product: own reporting, forecasting, and ROI, and define the metrics that connect product usage to revenue on a consumption billing model.
Scale AI Studio to reliably support millions of workflows, ensuring the quality, performance, and dependability enterprises require for system-critical processes.
Ship automation capabilities that enable enterprise teams to deploy AI across their organizations, ranging from single-team workflows to processes spanning thousands of users.
Build for enterprise trust by shaping AI governance, admin controls, and change management capabilities so customers can roll out AI confidently and safely at scale.
Collaborate directly with large enterprise customers to understand how they manage complex workflows, translating those insights directly into the product roadmap.
Partner closely with engineering, design, data science, and GTM teams to turn ambiguous problems into shipped, high-impact product solutions.
About you
6+ years of product management experience, with a focus on AI, automation, workflow, or enterprise platform products.
Fluent in automation concepts, including workflow builders, rules engines, orchestration, triggers and actions, and integrations, with an understanding of how customers compose them into scaled, dependable processes.
Enterprise experience partnering with large customers managing workflows for thousands of users, including navigating AI governance, change management, and system-critical processes.
Proven track record of owning business outcomes for a product, including revenue or consumption metrics, reporting, and ROI analysis to drive prioritization and communicate impact to leadership.
Hands-on experience with modern AI tools, including building with LLMs, prompt engineering, agentic workflows, tool use, and evaluations, with the ability to reason about model behavior and trade-offs.
Excellent written and verbal communication skills, with a demonstrated ability to influence cross-functional partners, enterprise customers, and leadership.
Experience with consumption/usage-based billing products, AI evaluation systems, or enterprise AI deployments is a plus.
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
Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value, which is why we check ourselves and conduct a yearly pay equity audit.
For this role, the estimated base salary range is between $176,000 - $200,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.
In addition to base salary, your compensation package may include additional components such as equity and benefits. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:
Mental health, wellness & fitness benefits
Career coaching & support
Inclusive family building benefits
Long-term savings or retirement plans
In-office culinary options to cater to your dietary preferences
#LI-HC1 #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: United States
Workplace: Remote
ABOUT THE TEAM
The Product Metrics team owns the collection, storage, and serving of metrics collected from customers' ClickHouse instances. As a part of the team you will be responsible for designing, building, operating and maintaining components of the petabyte-scale platform that stores trillions of records and processes millions of new events every second, owning its reliability, performance and availability. Our stack is built using Golang, runs in Kubernetes, and is, of course, stored in ClickHouse. The team’s responsibilities include gathering and processing data for the internal billing and accounting system as well as customer-facing dashboards that provide our customers with immediate insights and analytics. The Product Metrics system is specifically designed to prioritize delivery guarantees, precision, and accuracy in handling extensive data volumes. Its primary goal is to provide data that is both prompt and accurate, supporting reliable operational decisions and enhancing the overall customer experience.
WHAT WILL YOU DO?
- Take an active part in determining the roadmap for the Product Metrics team
- Work closely within the team to deliver new features, iterate and improve them
- Design, build, operate, and maintain business-critical petabyte-scale systems
- Be responsible for the performance, reliability, availability and cost-efficiency of the Product Metrics systems
- Mentor and support other team members, participate in design discussions and collaborate with the team
- Be a part of on-call rotation and take ownership of the services you're running
WHAT ARE WE LOOKING FOR IN YOU?
- You demonstrate a strong initiative and a preference for action, high level of responsibility, ownership and accountability
- You prioritize customer needs, ensuring that our products are designed with the user in mind
- You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively
- You have a strong problem solving mindset and have solid production debugging skills
- You have excellent communication skills and the ability to work well within a team and across engineering teams in a fully remote environment
- You thrive in a fast-paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward
REQUIREMENTS:
- 5+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems
- 2+ years of software application development experience using Golang
- Experience with at least one of the major Cloud Service Providers such as AWS, GCP or Azure
- Experience with storing, shipping, and retrieving large volumes of data efficiently using technologies such as ClickHouse
- Experience with technologies such as Kubernetes, Helm, ArgoCD, Temporal as well as infrastructure-as-code tools such as Terraform
BONUS POINTS:
- Experience with ClickHouse
- Experience writing Kubernetes operators or controllers
- Experience with Kafka streaming technology
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: London, United Kingdom
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
As the Chief of Staff to the EVP of Global Ad Sales, you will serve as a high-leverage strategic operator, executive proxy, and force multiplier across the Global Sales Organization (GSO). Your key function is to scale executive attention, accelerate decision velocity, and translate GSO’s highest strategic priorities into clear execution and follow-through.
The ideal Chief of Staff operates with high EQ to maintain Reddit’s open, collaborative, and accessible culture while ensuring that executive time is prioritized for high-impact drivers. You will partner closely with Sales Strategy & Operations, regional sales leadership, and cross-functional executive teams to orchestrate a seamless operational rhythm and drive global alignment.
This role is required to be based in New York or London.
Responsibilities:
Drive Alignment & Prioritization
Filter & Route Inquiries:
Establish clear operational paths for routine data requests, incident reporting, and tactical items below the executive level, freeing leadership bandwidth for major revenue initiatives.
Executive Proxy & Strategic Alignment:
Represent the EVP in key cross-functional leadership forums, planning reviews, and offsites, building bottoms-up consensus and alignment before issues require top-down intervention.
Surface Field Signals:
Synthesize customer sentiment, competitive dynamics, and field feedback directly from front-line sales teams to keep executive leadership deeply connected to market realities.
Pre-Frame Executive Decisions:
Ensure material revenue proposals and strategic escalations reaching the EVP are pre-framed with clear context and explicit recommendations, allowing leadership to focus on high-order strategic decisions.
Operational Rhythm & Business Cadence
Orchestrate Business Cadence:
Maintain the global sales operational rhythm, including leadership reviews, quarterly business reviews, strategic offsites, and key team communication forums, ensuring priorities are proactively tracked and fire drills are minimized.
Cross-Functional Alignment with Sales Strategy & Operations:
Partner seamlessly with Sales Strategy & Operations by translating strategic outputs into operational workstreams, leadership narratives, and review frameworks.
Executive Communications & Collateral:
Drive end-to-end preparation of strategic collateral, executive presentations, board materials, and organizational communications in close coordination with Internal Comms partners.
Track Strategic Priorities & Follow-Through
Track & Report on Key Commercial Initiatives:
Track high-priority commercial initiatives and global sales bets, ensuring every key initiative has a clearly defined owner, success metrics, and milestones.
Accountability & Execution:
Ensure regional and functional leaders leave executive reviews with clear action items and deadlines; track ongoing performance against overarching organization priorities.
Cross-Functional Initiative Support:
Drive alignment and operational support for complex, multi-functional sales initiatives across GTM, Product, Marketing, and SS&O.
Qualifications:
10+ years of relevant experience in a Sales/revenue/business strategy & operations role within an ad sales organization
Deep understanding of the rhythm of the business in a high-growth environment
Exceptional problem-solving skills, with a proven ability to synthesize complex data/insights and build actionable strategies around the highest impact opportunities
Outstanding communication and relationship building skills, with the ability to build trust and influence across all levels
Proven track record of managing multiple priorities in a fast-paced environment
Results-oriented and committed to driving measurable impact
Innovative operator, accustomed to leveraging technology (i.e. AI, tooling), to scale, improve and help the team operate more effectively
The Ideal Candidate:
Believes in Reddit’s mission
Is organized and can build their own structure
Is a strong communicator
Is an optimist
Is humble
Can effectively communicate with everyone from engineers to sales
Is fact-based, and willing to be hypothesis-driven
Needs limited guidance and no instruction manual
Acts as a force multiplier vs. a barrier to their executive partner
Benefits:
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Group Personal Pension Scheme with Employer match
Private Medical and Dental Scheme
Income Replacement Programs
Bike to Work scheme
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
#LI-Hybrid
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: New York City, NY
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
As the Chief of Staff to the EVP of Global Ad Sales, you will serve as a high-leverage strategic operator, executive proxy, and force multiplier across the Global Sales Organization (GSO). Your key function is to scale executive attention, accelerate decision velocity, and translate GSO’s highest strategic priorities into clear execution and follow-through.
The ideal Chief of Staff operates with high EQ to maintain Reddit’s open, collaborative, and accessible culture while ensuring that executive time is prioritized for high-impact drivers. You will partner closely with Sales Strategy & Operations, regional sales leadership, and cross-functional executive teams to orchestrate a seamless operational rhythm and drive global alignment.
This role is required to be based in New York or London.
Responsibilities:
Drive Alignment & Prioritization
Filter & Route Inquiries:
Establish clear operational paths for routine data requests, incident reporting, and tactical items below the executive level, freeing leadership bandwidth for major revenue initiatives.
Executive Proxy & Strategic Alignment:
Represent the EVP in key cross-functional leadership forums, planning reviews, and offsites, building bottoms-up consensus and alignment before issues require top-down intervention.
Surface Field Signals:
Synthesize customer sentiment, competitive dynamics, and field feedback directly from front-line sales teams to keep executive leadership deeply connected to market realities.
Pre-Frame Executive Decisions:
Ensure material revenue proposals and strategic escalations reaching the EVP are pre-framed with clear context and explicit recommendations, allowing leadership to focus on high-order strategic decisions.
Operational Rhythm & Business Cadence
Orchestrate Business Cadence:
Maintain the global sales operational rhythm, including leadership reviews, quarterly business reviews, strategic offsites, and key team communication forums, ensuring priorities are proactively tracked and fire drills are minimized.
Cross-Functional Alignment with Sales Strategy & Operations:
Partner seamlessly with Sales Strategy & Operations by translating strategic outputs into operational workstreams, leadership narratives, and review frameworks.
Executive Communications & Collateral:
Drive end-to-end preparation of strategic collateral, executive presentations, board materials, and organizational communications in close coordination with Internal Comms partners.
Track Strategic Priorities & Follow-Through
Track & Report on Key Commercial Initiatives:
Track high-priority commercial initiatives and global sales bets, ensuring every key initiative has a clearly defined owner, success metrics, and milestones.
Accountability & Execution:
Ensure regional and functional leaders leave executive reviews with clear action items and deadlines; track ongoing performance against overarching organization priorities.
Cross-Functional Initiative Support:
Drive alignment and operational support for complex, multi-functional sales initiatives across GTM, Product, Marketing, and SS&O.
Qualifications:
10+ years of relevant experience in a Sales/revenue/business strategy & operations role within an ad sales organization
Deep understanding of the rhythm of the business in a high-growth environment
Exceptional problem-solving skills, with a proven ability to synthesize complex data/insights and build actionable strategies around the highest impact opportunities
Outstanding communication and relationship building skills, with the ability to build trust and influence across all levels
Proven track record of managing multiple priorities in a fast-paced environment
Results-oriented and committed to driving measurable impact
Innovative operator, accustomed to leveraging technology (i.e. AI, tooling), to scale, improve and help the team operate more effectively
The Ideal Candidate:
Believes in Reddit’s mission
Is organized and can build their own structure
Is a strong communicator
Is an optimist
Is humble
Can effectively communicate with everyone from engineers to sales
Is fact-based, and willing to be hypothesis-driven
Needs limited guidance and no instruction manual
Acts as a force multiplier vs. a barrier to their executive partner
Benefits:
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
#LI-Hybrid
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$210,800
—
$295,200 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Задачи:
— Разрабатывать мультиагентные системы и GenAI-агентов (субагенты, оркестрация).
— Строить и сопровождать RAG-решения: векторные хранилища, пайплайны, ретривал.
— Интегрировать LLM-инструменты с внутренними сервисами через REST API и OAuth2.
— Обрабатывать и трансформировать структурированные данные (JSON, PostgreSQL).
— Проектировать промпты и LLM-сценарии: суммаризация, генерация отчётов, структурирование данных.
— Разрабатывать и эксплуатировать решения в ОС Windows.
— Обеспечивать защиту чувствительных данных в корпоративной среде.
Требования:
— Уверенное владение JavaScript / TypeScript и Python.
— Опыт создания GenAI-агентов, субагентов или мультиагентных систем.
— Опыт работы хотя бы с одним из подходов: low-code / visual (n8n, Flowise, Dify, Langflow) или code-first (LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, AutoGen или аналоги).
— Опыт работы с REST API и OAuth2.
— Уверенная работа с JSON и PostgreSQL.
— Понимание принципов prompt engineering.
— Опыт с LLM-сценариями: суммаризация, генерация отчётов, структурирование данных.
— Опыт построения или сопровождения RAG-решений.
— Опыт работы с векторными хранилищами: PGVector, Qdrant, Milvus или аналогами.
— Опыт работы с LangChain или аналогичными фреймворками оркестрации LLM.
— Готовность вести разработку и эксплуатацию в ОС Windows.
— Понимание принципов защиты чувствительных данных.
Будет плюсом:
— Опыт в корпоративных или банковских проектах.
— Знание инструментов мониторинга LLM-приложений.
— Понимание архитектуры микросервисов.
Условия:
— Удалённая работа из любого региона РФ.
— Full-time, гибкий график с синхронизацией по МСК.
— Официальное оформление по ТК РФ.
— Возможность влиять на архитектуру и внедрять современные GenAI-решения в реальном корпоративном контуре.
Location: Oklahoma, United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
DC Facilities Engineer
Independently operates, maintains, troubleshoots, and takes end-to-end ownership of critical power, critical cooling, liquid cooling, and DCIM/BMS infrastructure systems; participates in incident management and commissioning activities; and mentors Associate DC Facilities Engineers.
Role Overview
The DC Facilities Engineer is a critical role within Nebius data center operations. A fully proficient DC Facilities Engineer who independently manages and troubleshoots critical power and critical cooling systems across the site and takes ownership of assigned engineering tasks from start to finish. Participates in incident management activities, supports site commissioning and build reviews, and contributes to ensuring all engineering work meets Nebius SLAs and standards. Enforces safe working practices, collaborates with facilities, network, and technician teams, and mentors Associate DC Facilities Engineers toward independent operation.
Core Responsibilities
Monitor and contribute to the tracking of critical environment maintenance and repair for assigned service lines to Nebius SLAs; identify and escalate developing faults before they impact service uptime.
Independently operate, monitor, and troubleshoot critical power distribution infrastructure including UPS systems, PDUs, RPPs, and in-rack busbar power systems.
Manage and maintain critical cooling infrastructure including CRAHs, CRACs, CDUs, and RDHx; perform capacity checks and leakage inspections.
Participate in incident management for infrastructure-impacting events; support root-cause analyses, document findings, and contribute to CAPA execution under the direction of the Senior DC Facilities Engineer.
Operate and administer DCIM and BMS platforms; build and maintain dashboards, alerts, capacity reports, and infrastructure records.
Support deployment and commissioning of GB-scale liquid-cooled rack infrastructure including direct liquid cooling (DLC) systems, manifolds, and CDU connections.
Perform and own preventive maintenance tasks for all critical power and critical cooling systems; maintain accurate maintenance logs and compliance records.
Participate in site reviews, design reviews, and commissioning activities; prepare and review technical reports to document findings and communicate results.
Enforce Nebius critical power and critical cooling safety procedures; act as safety lead for engineering work orders on live infrastructure.
Collaborate with facilities, network, and technician teams on infrastructure changes, capacity expansions, and major deployments.
Support adherence to Nebius standards and policies through documentation review and active participation in commissioning and design activities.
Contribute to vendor and contractor coordination by supporting scheduling, site access, and execution of work per Nebius expectations and safe-working practices.
Actively mentors and trains Associate DC Facilities Engineers; guides them through systems operation, safe working practices, and structured skill development toward independent operation.
Expected Capabilities / Expectations
Working proficiency across all critical power systems: UPS, PDU, RPP, in-rack busbar, and generator interfacing.
Hands-on experience with critical cooling systems: CRAH/CRAC, CDU, RDHx, and water-side infrastructure including leak detection.
Competent DCIM/BMS administration: alert management, capacity modeling, and dashboard reporting.
Developing knowledge of GB rack liquid cooling technology, DLC manifolds, and heat rejection infrastructure.
U.S. Data Center Career Framework - Technical Career Framework
Ability to participate in and support incident management activities including RCA and CAPA documentation.
Strong documentation discipline: change records, maintenance logs, capacity data, and incident write-ups.
Clear and confident communication with facilities, network, and vendor teams during changes and incidents.
Core Physical Requirements
Ability to stand and remain on your feet for extended periods, typically four or more consecutive hours during active shift operations.
Ability to safely lift, carry, and position equipment weighing up to 50 pounds unassisted, and heavier loads with appropriate team-lift protocols or mechanical aids.
Comfortable working at heights including ascending and descending ladders, raised platform equipment, and elevated data center
infrastructure.
Ability to work in confined spaces such as under raised floors, within enclosed rack enclosures, and in cable management pathways.
Comfortable working in environments with variable temperatures, including cold aisle containment zones and active cooling infrastructure.
Manual dexterity sufficient to handle small form-factor components, precision cabling, and fine connector installations.
Visual acuity sufficient to read equipment labels, small-form-factor interface indicators, and detailed wiring diagrams in variable lighting conditions.
Ability to push or pull equipment carts, server sleds, and wheeled infrastructure weighing up to 500 pounds on level surfaces.
On-Call Requirement
This role includes on-call participation to respond to after-hours critical power and critical cooling events, infrastructure alarms, and urgent maintenance requiring prompt engineering response.
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$49
—
$54 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: ES - Barcelona, Spain
Scopely is looking for a Senior Engineer to serve on and elevate our new casual game, Monopoly GO! team in Barcelona on a hybrid 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
Contribute to the design, development, and scaling of gameplay systems, tools, and pipelines for Monopoly GO!, one of the world's most successful mobile games
Own features and systems from design through release and live operation
Collaborate with designers, artists, data analysts, and other engineers to bring ideas to life and continuously improve the player experience
Build clean, performant, testable code across a variety of systems, including gameplay, LiveOps tooling, backend integration, and more
Improve content pipelines and automate workflows to help other crafts ship content safely
Investigate live-game incidents and unfamiliar issues, identify root causes, and turn the learning into better monitoring and fewer repeat failures
Prototype new features and systems, and use AI to improve how the team works, from everyday workflows to collaboration and delivery
Mentor less experienced engineers through code review, pairing, and feedback
Learn from (and with) a world-class engineering org, while helping shape the future of how we work
What We're Looking For
Solid programming fundamentals in any language and a passion for making things players love
Curiosity about how AI can improve creativity and productivity, whether it's prompt workflows, automation, or integrating AI tools into content pipelines
You think like a systems designer: how things scale, how they evolve, how to keep them clean and efficient
Experience with (or interest in learning) Unity and C#, plus relevant tools like Git, Docker, or cloud services
Experience with Unity asset bundles or Addressables, asset importing, content pipelines, editor tooling, and validations
Familiarity with backend systems, data pipelines, or infrastructure and observability
A structured, calm approach to unfamiliar technical problems, including under time pressure
An automation and tooling mindset
Ability to turn requirements into clear technical specifications and explain decisions to non-technical colleagues
A unique lens, whether that's a self-taught dev, a career hopper, or even an entirely new creative discipline. The more unconventional the better
Bonus Points
Backend experience with game services, APIs, and data stores, and confidence working across the client–server boundary
Contributions to creative or technical projects: games, tools, mods, art, code, anything you're proud of
Experience with live-operations configuration, content scheduling, or remote configuration in games
Experience leading technical work across connected systems or multiple crafts
Prior exposure to shipping live games, but we're happy to teach you that part
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: Hungary; Armenia; North Macedonia
Workplace: Remote
ABOUT THE GEO TEAM
GEO stands for Generative Engine Optimization. The GEO team builds products that help multi-location brands understand and improve how they are represented, cited, and recommended across AI-powered search and answer engines such as ChatGPT, Gemini, Perplexity, and Google AI Overviews.
We are building backend capabilities that collect and analyse signals from rapidly evolving AI platforms, measure brand visibility, and turn complex data into actionable recommendations for our customers.
ABOUT THE ROLE
As Backend Engineering Lead for Uberall’s GEO team, you will combine hands-on technical leadership with responsibility for the growth and effectiveness of the engineering team.
You will shape the architecture behind our AI-search products, lead the delivery of new capabilities, and help the team navigate a fast-moving and technically ambiguous domain. Working closely with Product, Engineering, and other stakeholders, you will translate customer needs and emerging developments in generative AI into reliable, scalable, and maintainable backend solutions.
Historically, our backend has been built on Groovy and Kotlin. Today we work AI-first, and much of our engineering work runs through AI-assisted development. As a result, we place far less weight on a specific stack than we used to. What matters is that you know your way around backend engineering and can apply sound judgment, whatever the language.
YOUR RESPONSIBILITIES
- Lead, develop, and grow the GEO engineering team, starting with two engineers and scaling as the product grows.
- Define how the team builds, reviews, evaluates, and ships, including how it uses AI-assisted development day to day.
- Guide the design and operation of backend systems that integrate with LLMs and AI-powered search platforms.
- Establish robust approaches for evaluating the quality and consistency of AI-generated results.
- Ensure that LLM-enabled capabilities are observable, testable, cost-efficient, and resilient to changing models and external providers.
- Help the team manage the particular challenges of generative AI systems, including non-deterministic behaviour, latency, rate limits, data quality, and graceful degradation.
- Stay informed about relevant developments in LLMs and AI search, assessing them pragmatically rather than adopting technology for its own sake.
YOUR PROFILE
- Experience leading or mentoring engineers, whether as a tech lead or engineering manager, including hiring and developing team members.
- Solid backend engineering experience with at least one object-oriented language (for example, Java, Kotlin, Groovy, C#, or Python). Prior experience with Groovy or Kotlin is helpful but not required.
- Comfort working AI-first, using AI-assisted development as a core part of how you and your team build and ship.
- Hands-on experience building or operating production systems that use LLMs, generative AI, or AI-powered external services.
- An understanding of how to evaluate and monitor LLM-enabled features beyond traditional deterministic testing.
- Experience designing reliable integrations with third-party APIs and managing concerns such as cost, latency, rate limits, observability, and provider failure.
- The ability to distinguish between an effective AI use case and one better solved with conventional software.
- Experience with prompt management, retrieval-augmented generation, embeddings, vector search, or LLM evaluation frameworks is beneficial but not essential.
- No experience training foundation models is required; this is primarily a backend engineering and technical leadership role.
No experience training foundation models is required; this is a backend engineering and engineering leadership role.
Location: Canada
Workplace: remote
About Xsolla
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
About the Role
We're looking for a Staff Engineer to own the smart wallet and account abstraction layer of Xsolla's Web3 platform. This is an individual contributor role with outsized technical scope: you'll be the technical anchor for how millions of players get an on-chain account they never have to think about — setting direction, making hard architectural calls, and raising the bar across the org.
Concretely, you'll own the account model behind Xsolla ZK, our zkSync-based L2, and the wallet that sits inside Xsolla App. Every player who signs in with Xsolla ID receives a deterministic, non-custodial smart account — derived from their identity claim, identical on every device, with private keys that never leave the client. That account is not a separate "wallet" screen: it is the player's inventory, and it backs minting, gifting, trading on our Bazaar marketplace, Merkle-based reward airdrops, gas sponsorship, and an in-app dApp browser that exposes the same signer to third-party applications through an EIP-1193 provider. You'll own the primitives underneath all of it: the ERC-4337 user operation lifecycle, EIP-7702 delegation, session keys and origin-bound Smart Sessions, paymaster and gas abstraction strategy, and the custody and recovery roadmap — including the move from raw key export to MPC custody.
You will own the strategy behind account abstraction, signing, and session management at scale, and evolve our smart account and permissioning model to meet both product and compliance needs. You operate with significant autonomy, but your decisions ripple across teams — so you'll spend real time building buy-in with engineering, product, security, and legal stakeholders, not just designing in isolation.
You are technically deep, calm under pressure, and comfortable being the escalation point when production wallet issues get hard — because in this domain, "hard" means a stuck user operation, a drained paymaster, or a signing prompt a player didn't understand. You write the RFCs and design docs that people actually read, and you create leverage for the broader engineering org through documentation, tooling, and mentorship — without needing a management title to do it.
Responsibilities
Own Smart Wallet & AA Architecture
— Own the technical strategy and architecture of our smart wallet platform, covering the account model, signing, session management, and gas abstraction at scale.
Design the Account & Signing Model
— Design and evolve our ERC-4337 user operation lifecycle (prepare → sign → submit → confirm), EIP-7702 delegation, deterministic address derivation from identity, and the session-key and permission primitives that let players act without a prompt on every transaction.
Own Gas Abstraction
— Set the paymaster and gas-sponsorship strategy: what we sponsor, how we meter and cap it, how we defend it from abuse, and how it degrades when sponsorship is unavailable.
Harden the dApp-Facing Surface
— Own the security model where our signer meets third-party applications: EIP-1193 / EIP-6963 provider behavior, origin-bound and policy-versioned sessions, trust tiers, and the transaction and signature confirmation flow. Define what a player is actually approving, and make sure the UI can prove it.
Drive Custody & Recovery
— Lead the custody roadmap from today's interim mechanisms toward MPC-based custody, and design recovery paths (passkeys, guardians, social recovery) that a non-crypto-native player can complete without losing assets.
Drive Cross-Team Technical Decisions
— Drive decisions on account architecture, SDK contracts, data modeling, and platform reliability, and build buy-in across the wallet, marketplace, SDK, mobile, and security teams.
De-Risk Proactively
— Identify systemic risks — key management, signature phishing, reorgs and indexer staleness, bundler and RPC dependencies, contract upgrade paths — and lead initiatives to resolve them before they become incidents.
Set Engineering Standards
— Define engineering standards, review critical code, contracts, and designs, and create leverage for the team through documentation, tooling, and mentorship.
Align with Stakeholders
— Collaborate with product, security, legal, and infra teams to align on roadmap and translate business and regulatory needs into well-scoped technical plans.
Own Production Escalations
— Serve as the go-to escalation point for complex production issues in the wallet and account abstraction domain.
What You Bring
Account Abstraction & Smart Wallets
ERC-4337 Depth
— Deep, hands-on understanding of ERC-4337: EntryPoint (v0.6 through v0.8), the UserOperation lifecycle, bundler and paymaster roles, validation rules (ERC-7562), gas estimation and its failure modes, counterfactual deployment, and signature validation for undeployed accounts (ERC-6492).
EIP-7702 & the Post-Pectra Landscape
— Working knowledge of EOA delegation, its interaction with ERC-4337 EntryPoint v0.8, and the trade-offs and risks it introduces (residual key authority, delegation phishing, storage collisions).
Smart Account Implementations
— Experience building on or extending production smart account implementations (Safe, Kernel, Biconomy, Coinbase Smart Wallet, or equivalent), and familiarity with modular account standards (ERC-7579 / ERC-6900).
Session Keys & Delegated Permissions
— Experience designing scoped, time-limited, policy-bound authority: session keys with TTL and contract allowlists, origin binding, permission revocation, and delegated-permission standards (ERC-7710 / ERC-7715).
Signature Schemes & Wallet Interfaces
— Practical command of EIP-712 typed data, ERC-1271 contract signatures, WebAuthn / passkey (P-256) signers, and the wallet-facing standards: EIP-1193, EIP-6963, EIP-5792 batched calls, ERC-7677 paymaster interfaces.
Production Wallet Experience
— Experience designing or operating a production smart wallet or account abstraction system serving real users and real value.
Production Crypto Track Record
Scale in a Major Crypto Organization
— Substantial engineering experience at a large crypto product or protocol organization — for example Coinbase, Kraken, Base, Safe, the Ethereum Foundation, Consensys / MetaMask — or a comparable wallet, exchange, or account-abstraction infrastructure team where wallet correctness and custody were core to the product.
Operational Judgment Under Value at Risk
— You have shipped and operated systems where a bug meant lost funds, and you can talk concretely about the guardrails, reviews, and rollback paths you put in place.
Smart Contracts & EVM
Solidity & EVM Fluency
— Ability to read, review, and write account, paymaster, and module contracts; gas-aware design; upgradeability and migration patterns; working effectively with external auditors.
L2 Specifics
— Understanding of L2 execution differences and how they affect wallet design: native account abstraction on zkSync-family chains, transaction and fee models, finality and reorg behavior, and RPC and indexer semantics.
Backend Engineering
Go Engineering
— Strong Go (Golang) engineering skills: idiomatic code, concurrency patterns, performance profiling.
TypeScript & SDK Design
— Ability to design and own client-side SDK surfaces in TypeScript that other engineering teams — internal and external — build on top of.
Distributed Systems
— Experience with distributed systems and their trade-offs (consistency, availability, failure modes), and with reconciling off-chain state against an authoritative on-chain result.
Data & Infrastructure
PostgreSQL
— Schema design, query optimization, migrations at scale.
Kubernetes
— Deploying, operating, and debugging services in a k8s environment.
Message Streaming
— Kafka or NATS — event-driven patterns, consumer groups, at-least-once delivery.
Git & CI/CD
— Git and modern CI/CD practices.
Security
Key Management
— Hands-on experience with key material in production: platform secure storage (Keychain / Keystore), HSMs, MPC or threshold signing, and the operational discipline around each.
Wallet Threat Modeling
— Solid grasp of the wallet attack surface: signature and delegation phishing, malicious dApp origins, replay and cross-chain replay, token approval abuse, and paymaster griefing and DoS.
Leadership
Cross-Team Initiative Leadership
— Proven ability to lead multi-quarter technical initiatives across teams.
Architectural Influence
— Track record of influencing architecture and standards beyond your immediate team.
Written & Verbal Communication
— You write RFCs and design docs that people actually read.
Nice to Have
Experience working in the video game industry, building or operating platforms for game developers, publishers, or players
Hands-on experience with the zkSync / Elastic Chain ecosystem (ZKsync OS, Matter Labs stack, native AA and paymaster flows, custom L2 operations)
Experience with embedded and ecosystem wallet providers or AA infrastructure vendors (thirdweb, Privy, Dynamic, Turnkey, Pimlico, Alchemy, Biconomy, ZeroDev, Safe{Core}) — and clear views on where to build versus buy
Experience with MPC / threshold custody, social recovery, or guardian-based recovery in a consumer product
Experience with NFT and token infrastructure at scale: ERC-721 / ERC-1155 / ERC-20 mechanics, marketplace contracts, Merkle-based airdrop and claim distribution, chain indexing services
Contributions to open-source wallet, security, or identity projects — including authorship or review of ERC / EIP standards
Familiarity with compliance requirements relevant to crypto consumer products: KYC / AML, geofencing, MiCA, SOC 2, ISO 27001, GDPR data minimization, audit logging
Experience with identity and auth integration for wallet derivation (OAuth 2.0 / OIDC, JWT verification, token scoping)
Background in platform or infrastructure engineering — building systems other engineers build on top of
Experience owning a mobile wallet surface (React Native / Expo, WebView provider injection, native signing UI)
Hands-on, up-to-date experience with modern AI tools (e.g. Claude, Copilot, Cursor) for code generation, review, and accelerating day-to-day engineering work
How We Work
Xsolla operates across multiple time zones, and the smart wallet underpins identity, ownership, and value transfer for every Web3 product we ship. Strong written communication is essential — your architectural decisions and designs need to stand on their own and be actionable without you in the room.
We value directness, technical depth, and follow-through. In this domain that means saying plainly when a design has custody, security, or reversibility implications, defending your position with evidence, and staying engaged until it's resolved. Where a decision touches player funds or key material, we expect the conservative call to be argued for explicitly rather than assumed.
Benefits
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
УдалённоseniorСША; The provided range is the expected salary for candidates in the U.S; Candidates from the EU should review
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоCanada; Xsolla operates across multiple time zones, and the smart wallet underpins identity, ownership, and value transfer for every Web3 product we ship
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