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Location: London, United Kingdom Workplace: fully About InvestEngine InvestEngine is a fast-growing fintech company based in London, on a mission to make ETF investing simple and accessible. Over 150,000 clients trust us with more than £3 billion in assets under management — and we’re just getting started. We’ve been featured in MoneyWeek, Finder, and Forbes, and we’re scaling quickly with ambitious plans for both our product and engineering organization. About the Role We’re looking for two Senior Engineering Managers to help build a stronger management layer in engineering and support multiple product teams across InvestEngine. This is a high-impact leadership role focused on engineering management, delivery, team performance, and organizational scaling. You’ll work closely with the CTO, CPO, and multiple Team Leads reporting to you to help teams operate effectively, deliver business impact, and scale sustainably as the company grows. One role will focus more on customer-facing product teams, while the second role will work more closely with infrastructure and operational teams, including Payments, Trading, Pension, and Back Office systems. While this role is less hands-on than a traditional Tech Lead position, a strong engineering background and technical judgment are still important. What You’ll Do Manage and support multiple engineering teams and Team Leads Improve delivery processes, team performance, and engineering effectiveness Help scale engineering processes and organizational structure Drive operational and process improvements across teams Support architectural discussions and long-term technical strategy Mentor engineers and engineering leaders Help improve planning, communication, and cross-team collaboration Contribute to engineering culture and organizational growth What We’re Looking For Strong engineering management experience leading multiple teams or Team Leads Previous software engineering background (backend or full-stack preferred) Experience working in product companies rather than pure outsourcing environments Experience scaling teams, processes, and engineering organizations Experience building engineering processes and delivery practices Strong communication and stakeholder management skills Ability to operate in ambiguity and drive initiatives independently Collaborative leadership style with strong mentoring mindset English level С1 Bonus if you have Experience in fintech or regulated industries Experience in high-growth product companies Experience working with metrics and operational improvements How We Work We’re a lean, collaborative engineering organization where managers and engineers have real influence on product direction, engineering culture, and technical decisions. We care about ownership, pragmatism, continuous improvement, and building scalable systems and teams — without unnecessary bureaucracy. What We Offer Direct impact on product and engineering growth Opportunity to shape a scaling engineering organization Remote-first and flexible working environment High level of ownership and autonomy Modern tech environment and experienced engineering teams Unlimited vacation policy Hiring Process Intro call with our Talent team Technical interview with the Backend team Gamified cognitive assessment to understand how you think and problem-solve Final conversation with our CTO

Location: Algiers, Algeria Workplace: hybrid Context & Vision In 2026, writing code is no longer the primary bottleneck; managing its complexity and ensuring its reliability is. We are building a highly resilient advertising platform with a very lean, senior internal team, and we intend to keep it that way. To achieve scale without the overhead of a large engineering department, we rely on an AI-first development paradigm and a philosophy borrowed from the best large-scale open-source projects. Our code is not public, but our governance is theirs: asynchronous communication, exhaustive written documentation, explicit rules, and uncompromising quality gates. It is the only way a small team of humans and AI agents ships serious systems without accumulating technical debt. This role owns the data engine underneath the platform: the streams, segments and audiences that make advertising intelligent. The Role You will own the data and DMP layer end to end — the event streams flowing in, the segment and audience computation, and the analytical stores that feed targeting and reporting. What we hire for is judgment: the problems here are hard in the interesting way, and the interesting part is the tradeoffs you choose. 1. Hard problems, at real-time scale.Computing audiences and measurement over very large, high-velocity event streams, in near-real-time, where being right is not always the same as being exact and every choice has a real cost. We describe the problems; we expect you to bring the approach. 2. Stream-First Pipeline.Own the ingestion and processing pipeline. It is stream-first by design; you keep it that way rather than falling back to batch. 3. Segments & Audiences.Own how raw signals become targetable audiences — how they are computed, stored, refreshed, and exposed to the serving path. This is the intelligence layer of the product. 4. AI-First Delivery & Governance. We expect AI to write most of the code; you are the editor, not the typist. You specify work as explicit, self-sufficient issues, direct agentic tooling to implement, and gatekeep every diff. Schemas, data contracts and Architecture Decision Records are documented. If it is not written down, it does not exist.  The Tech Environment - Data: event streaming and stream processing, relational and analytical stores. - Language: the codebase is a compiled systems language; we care more about how you reason about data than about the language you arrive with. - Domain: DMP, segments, audiences, identity, measurement. - Cloud: Google Cloud Platform, Kubernetes. Profile & Requirements We are looking for a data-minded engineer who frames a problem before reaching for a tool, owns correctness, and thrives in a lean, high-quality environment. This role is not suited to someone who wants a narrow, hand-fed scope inside a large team. Essential Experience - 5+ years building data or backend systems in production, with genuine ownership of a pipeline's reliability and the correctness of its output. - Depth on hard data problems— you have built things where scale, real time, or accuracy made the design non-obvious, and you can talk through the tradeoffs you chose and why. - Streaming experience and a real grasp of stream-vs-batch tradeoffs, event modelling, and schema evolution. - Comfort in a compiled systems language (Rust, Go, C++, Scala or similar). The codebase is Rust; the language is the tool, the data thinking is the skill. - Working knowledge of an analytical data store and SQL. DMP / ad-data or audience/segmentation experience is a strong plus. Core Competencies & Mindset - Judgment over recipes: you frame a data problem and its constraints before choosing an approach, and you can say when an approximate answer is the right engineering call and when it is not. - Distributed & complex systems: knowledge of, and a taste for, distributed and complex systems is very welcome. Tell us about the ones you have built or operated — what made them hard. - AI Development Lifecycle: genuine proficiency editing and validating AI-produced code, and decomposing ambiguous goals into specifications an agent can execute unattended. - Uncompromising Quality: a maniacal focus on data correctness, freshness, and reliability. A wrong number that ships is a wrong number the business trusts. - Written & Asynchronous: exceptional written communication; effective in a distributed, async environment (Paris timezone +/- 3h). - Ownership: you own your pipeline and its documentation completely, and you surface problems before they are asked about.

Location: Algiers, Algeria Workplace: hybrid Context & Vision In 2026, writing code is no longer the primary bottleneck; managing its complexity and ensuring its reliability is. We are building a highly resilient advertising platform with a very lean, senior internal team, and we intend to keep it that way. To achieve scale without the overhead of a large engineering department, we rely on an AI-first development paradigm and a philosophy borrowed from the best large-scale open-source projects. Our code is not public, but our governance is theirs: asynchronous communication, exhaustive written documentation, explicit rules, and uncompromising quality gates. It is the only way a small team of humans and AI agents ships serious systems without accumulating technical debt. This role owns the entire product surface: the console through which advertisers and agencies run their campaigns. The Role You will own the frontend of the platform end to end — the advertiser and agency console where campaigns, audiences, creatives and reports come to life. This is the most visible part of the build and, today, the least finished; you will have real ownership and a large surface to shape. 1. The Advertiser & Agency Console.** Build and own the product UI: campaign and line-item management, inventory, creative assets, reporting dashboards, account and admin modules, and the conversational agent interface. You are responsible for how the product feels to use. 2. A Typed, Contract-First Client.** Our frontend consumes the backend through a typed, contract-first client. You keep the contract tight: no drift between what the backend promises and what the UI assumes. 3. A Real Design System.** The product is standardising on a proper design system. You will own its implementation, keep components consistent, accessible and internationalised (FR / EN / AR), and work with the studio on the visual direction rather than reinventing it per screen. 4. AI-First Delivery & Governance.** We expect AI to write most of the code; you are the editor, not the typist. You specify work as explicit, self-sufficient issues, direct agentic tooling to implement, and gatekeep every diff. Components, patterns and decisions are documented. If it is not written down, it does not exist. The Tech Stack - Core: modern React, TypeScript. - UI:a component library and a shared design system; data visualisation. -State & Data: server-state and client-state tooling, typed API clients. - Testing: end-to-end and unit testing. - i18n: multi-language (FR / EN / AR). - Cloud: Google Cloud Platform. Profile & Requirements We are looking for a senior frontend engineer who owns a product surface with taste and rigour, and who is comfortable in a lean, high-quality, AI-first environment. This role is not suited to someone who wants a narrow slice of screens inside a large team. - 4+ years building and shipping production React applications, with real ownership of a non-trivial product surface. - Deep TypeScript, modern React, and a component-library-based UI used at scale. - Experience with server-state tooling and typed API consumption. - A real testing habit (end-to-end and unit) and attention to accessibility and internationalisation. Core Competencies & Mindset -AI Development Lifecycle: genuine proficiency editing and validating AI-produced code, and turning ambiguous product goals into specifications an agent can execute. - Product Sense & Craft: you care how it feels, not only that it renders. Hierarchy, states, and consistency are not afterthoughts. - Uncompromising Quality: a focus on performance, correctness and maintainability across a large surface, not just the happy path. - Written & Asynchronous: exceptional written communication; effective in a distributed, async environment (Paris timezone +/- 3h). You document your components and decisions and do not wait to be asked.

Location: Canada Workplace: Remote ABOUT THE TEAM The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists. WHAT YOU WILL DO - Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform. - API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services. - Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools. - Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation. - Oncall: Participate in the daytime oncall rotation along with the rest of the team. - UI/UX Implementation: Build responsive, intuitive user interfaces that make complex AI functionalities accessible and valuable to users of all technical backgrounds. WHAT YOU WILL BRING ALONG - 5+ years of software engineering experience in production environments - Exposure to working directly with AI/ML technologies - A high level of ownership and can drive features from concept to production with minimal supervision - Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders - Strong frontend skills with TypeScript/JavaScript and React Nice to have - Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases - Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment - Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus - Experience building data-oriented interfaces and visualizations 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: United States Workplace: Remote NOTE: This role is not office-based, and the final candidate can be in any EMEA country ClickHouse hires in (such as The Netherlands, Germany, Spain, Italy, UK, or Portugal). We are looking for a Senior Software Engineer to drive the development of AI/ML-powered features in ClickHouse Cloud. In this role, you will bridge the gap between a high-performance database technology like ClickHouse and AI capabilities, implementing AI/ML integrations and end-to-end solutions from the Inference API layer to the user interface that enhance how users interact with and extract value from their data. What will you do? - Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform. - API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services. - UI/UX Implementation: Build responsive, intuitive user interfaces that make complex AI functionalities accessible and valuable to users of all technical backgrounds. - Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools. - Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation. What you bring along: - 5+ years of software engineering experience in production environments - Exposure to working directly with AI/ML technologies - Strong frontend skills with TypeScript/JavaScript and React - You have a high level of ownership and can drive features from concept to production with minimal supervision - You thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders Nice to have - Experience building data-oriented interfaces and visualizations - Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases - Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment - Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus #LI-Remote PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Ищем hands-on DevSecOps / Security специалиста для проекта в сфере regulated crypto / fintech. Основная задача — разбирать результаты IT/Security-аудитов и технически закрывать выявленные vulnerabilities, security gaps и audit findings. Что важно: • DevSecOps / Application / Infrastructure / ICT Security; • DORA — обязательно; • MiCA, ISO 27001 или аналогичные стандарты; • опыт security/compliance-аудитов; • понимание regulated crypto / fintech; • умение самостоятельно делать remediation. Будет плюсом: Fireblocks, crypto custody, MPC, crypto exchanges, custodians, fintech/payment. Не рассматриваем чистых Compliance Officers, специалистов только по документации и Backend Developers без Security/DevSecOps опыта.

Location: Brazil; Argentina; Honduras Workplace: Remote ABOUT THE ROLE We’re splitting our Analytics & Reporting group into two focused teams: a Data Engineering team that owns data acquisition and the company-wide data platform, and an App team that owns everything our customers touch, including the data-serving APIs, the Analytics section of the Uberall platform, and the reports that turn location data into decisions. We’re hiring the lead for the App team. You’ll be a player-coach: you’ll manage and grow a team of six engineers (3 backend, 2 frontend, 1 QA), partner daily with two Product Managers, a Designer, and a UX Researcher, and stay meaningfully hands-on. Roughly 20–30% of your time is spent on architecture, code reviews, and code. You’ll work as a peer to the Lead Data Engineer, with a close, explicit contract between your team’s customer-facing products and the data platform that feeds them. This is a role for someone who has led before and still loves to build. WHAT YOU’LL OWN - Customer-facing data APIs: the public APIs enterprise customers use to access their data, and the microservices behind them. - The Analytics product: the Analytics section of the Uberall platform, including its frontend, filtering experience, and the APIs powering custom reports. - Customer reporting: the QuickSight reports our customers rely on, and the gold-layer datasets that feed them. Your team owns its data models end-to-end, built on the self-serve platform the Data Engineering team provides. - Production: you build it, you run it. Your team deploys and operates its own services (Kubernetes on AWS), owns its observability and SLOs, and runs its own on-call rotation. You lead the incident process. - The team: hiring, growth, 1:1s, delivery, and the engineering culture of a newly formed team. With one QA engineer among six, you’ll make quality everyone’s job. WHAT YOU’LL DO IN YOUR FIRST YEAR - Stand up the App team as a healthy, autonomous unit: clear ownership, sustainable delivery cadence, and strong working relationships with Product, Design, and the Data Engineering team. - Co-own, from the application side, the in-flight migration of data pipelines out of our monolith and into the Data Engineering stack. Your backend engineers keep those pipelines running and hand them over cleanly, so your team can focus fully on APIs and product. - Drive the modernization of our backend estate: the stack is consolidating on Kotlin, and legacy Groovy and Scala services need a pragmatic path forward. - Shape the next chapter of Analytics: AI-assisted insights in the product, and exposing your team’s data and APIs for consumption by AI agents through the company’s data gateways. WHAT WE’RE LOOKING FOR - 7+ years of software engineering experience, with deep backend expertise on the JVM (Kotlin strongly preferred; our stack: Kotlin, Spring Boot, Postgres). - 2+ years leading an engineering team with genuine people responsibility (hiring, 1:1s, performance, and delivery) while staying hands-on. - Experience designing, operating, and evolving microservices in production: Kubernetes, AWS, observability, SLOs, and incident management. You’ve run an on-call rotation, not just been on one. - Strong SQL and analytical data modeling skills. Your team owns the datasets behind customer reports, and you can reason about them credibly. - Experience with RESTful, service-oriented architectures serving external customers at scale. - Enough frontend fluency (React, TypeScript) to lead frontend engineers well. You review their thinking, not their semicolons. - Experience navigating legacy systems and migrations. You can modernize without stopping the world. - Professional working English (read, write, speak) and comfort collaborating across a remote, distributed organization. NICE TO HAVE - Experience with Groovy, Scala, or Python - the languages of our existing services. - Experience with BI tooling (Amazon QuickSight or similar) and data warehouse platforms (Databricks, Snowflake, Redshift). - Experience building LLM-powered product features or exposing data/APIs to AI agents.

Location: Batumi, Georgia; Berlin, Germany; Munich, Germany; Lisbon, Portugal; Warsaw, Poland; Barcelona, Spain The Vault by Tría Finance is a Swiss and EU-regulated fintech group delivering institutional-grade digital asset infrastructure and services. Bringing together a software vendor and a licensed Crypto Asset Service Provider (CASP), The Vault combines deep domain expertise with a strong foundation of transparency, security, and regulatory compliance. We develop and operate a comprehensive suite of crypto-native solutions, powered by proprietary technology, enabling institutions to execute digital asset strategies across both custodial and non-custodial models. We're building a security-first platform for digital asset operations. Our product is API-driven, highly auditable, and engineered for reliability. We're looking for a Senior Full-Stack Engineer who can own features end-to-end — from clean domain modeling in Go or Node.js to a polished, crisp React UI. Responsibilities: Build end-to-end product features across Go and Node.js/Express backends and React frontend AI-assisted development: use Cursor/Copilot/ClaudeCode (or similar) daily to accelerate delivery, refactoring, and test generation—while verifying outputs and keeping code clean Design backend services using DDD patterns (bounded contexts, aggregates, domain events), clean layering, and pragmatic architecture Implement data models and migrations across PostgreSQL and MongoDB, using GORM, Mongoose, or raw queries where appropriate Build and maintain REST APIs (and webhooks/event-driven workflows where needed) in both Go and Node.js/Express Implement frontend flows in React (TypeScript): dashboards, admin workflows, status lifecycles, audit views Ensure correctness and observability: structured logging, metrics, tracing, and production-ready error handling Contribute to security fundamentals: RBAC, least-privilege access, safe secrets handling, and audit trails Own quality: unit/integration tests, contract tests, and CI pipelines Requirements Must-have 7+ years building production systems with Go and/or the MERN stack (MongoDB, Express, React, Node.js), plus solid React experience Strong backend fundamentals: concurrency, APIs, reliability, debugging Hands-on with DDD (not just buzzwords): can model domains and keep boundaries clean Strong database skills across PostgreSQL and MongoDB: schema/collection design, indexing, query tuning, migrations Experience with GORM and/or Mongoose (or similar ORMs/ODMs) plus comfort dropping to raw SQL or aggregation pipelines when needed Frontend proficiency in React (TypeScript preferred), including state management and form-heavy admin UIs Good testing discipline (Go testing, Jest/Vitest, integration tests; frontend testing basics) REQUIRED: confident daily use of AI coding tools (Cursor/Copilot/etc.) with disciplined verification and secure practices Nice to have Event-driven patterns: outbox, retries, idempotency, background jobs Experience with RBAC/policy engines, audit logs, fintech/compliance workflows Docker/Kubernetes familiarity CI/CD ownership (GitHub Actions/GitLab CI), release workflows Experience with high-security systems (custody, payments, identity) Soft skills Ownership mindset: deliver features end-to-end with high quality Clear communication and ability to work across teams Pragmatic: balances long-term design with shipping Comfortable in ambiguity and fast iteration Benefits Competitive salary; Annual performance bonus; Fully remote position — work from anywhere in the world (team operates on CET); Paid time off, including vacation, sick leave, and public holidays; Multiple projects within the company — the opportunity to discuss different projects during the interview and choose the one that's the best fit for you.

Задачи: — Развёртывание и эксплуатация продуктовых систем компании во всех средах: prod, stage, test, qa, demo. — Настройка, развитие и сопровождение CI/CD-пайплайнов для backend-сервисов (.NET), web-frontend, Node.js-сервисов и мобильных приложений (iOS/Android), включая подпись и публикацию в магазины приложений. — Сопровождение self-hosted GitLab, GitLab Runner и Container Registry: обновления, бэкапы, восстановление, производительность, права доступа. — Эксплуатация контейнерной платформы на Docker Swarm: деплой сервисов, конфигурации и секреты, сетевой слой, обратный прокси (Traefik/nginx), TLS-сертификаты. — Обеспечение воспроизводимости и единообразия окружений, контроль отличий между средами. — Автоматизация инфраструктуры как кода (Ansible, Terraform или аналоги), отказ от ручных правок на серверах. — Построение и сопровождение мониторинга, логирования и алертинга (Grafana, Prometheus, Loki, Alertmanager): SLO/SLI для продуктовых систем, дашборды, дежурные уведомления. — Организация резервного копирования и регулярной проверки восстановления для PostgreSQL, MinIO, GitLab и конфигураций. — Эксплуатация инфраструктурных компонентов платформы: PostgreSQL, Kafka, RabbitMQ, MinIO, Keycloak, Redis, включая обновления и миграции. — Работа с облачной инфраструктурой (Yandex Cloud: Cloud Functions, API Gateway, Object Storage, DNS) и GitHub Actions для облачных сервисов. — Внедрение практик безопасности в поставку: SAST/SCA, secret scanning, сканирование образов, управление секретами, ротация ключей, минимизация привилегий. — Подготовка и сопровождение runbook по каждой системе: перезапуск, откат, диагностика, восстановление после сбоя; участие в разборе инцидентов и постмортемах. — Участие в проектировании архитектуры новых цифровых сервисов с точки зрения деплоя, отказоустойчивости, наблюдаемости и стоимости эксплуатации. — Совместная с разработчиками настройка quality gates в CI/CD и стандартов ветвления, релизов и версионирования. Требования: — Высшее образование в области информационных технологий, прикладной математики, программной инженерии, автоматизации, вычислительной техники или смежных технических направлений. — Опыт работы не менее 5 лет в ИТ-инфраструктуре или разработке, из них не менее 3 лет в роли DevOps/SRE-инженера с ответственностью за production. — Дополнительное профильное обучение по разработке ПО, архитектуре, DevOps, cloud, тестированию или ИБ будет преимуществом. — Опыт построения DevOps-практик с нуля в небольшой команде: стандарты, пайплайны, мониторинг, runbook, а не только поддержка готового. — Опыт работы с распределённой по нескольким площадкам инфраструктурой (несколько хостинг-провайдеров плюс публичное облако). — Опыт организации дежурства и реагирования на инциденты, проведения постмортемов. — Опыт проверенного восстановления из бэкапов, а не только их настройки. — Опыт эксплуатации .NET-сервисов в Linux-контейнерах: диагностика производительности, память, health checks, graceful shutdown. — Готовность работать в компактной команде рядом с разработчиками, участвовать в проектировании и code review инфраструктурной части. — Умение документировать системы понятно для коллег и аргументировать технические решения. — Будет преимуществом опыт работы в корпоративной среде с повышенными требованиями к ИБ, traceability и релизному контролю. Условия: — Субсидирование ипотечного кредитования. — Льготные путевки в собственный санаторий. — Ежегодная индексация. — Расширенная ДМС (после испытательного срока). — Корпоративная программа пенсионного обеспечения. — Дополнительные выплаты: поддержка многодетных родителей, выплата при рождении ребенка. — Офис в пешей доступности от станции Сколково. — Корпоративный транспорт от м. Тропарево и от м. Новопеределкино. — График работы: с 8:30 до 17:00, пятница до 16:00.

Требования: — Опыт работы в тестировании ПО (Web, Backend); — Опыт в автоматизации тестирования с использованием Java, Selenide, RestAssured (можно до года); — Опыт тестирования систем на микросервисной архитектуре; — Опыт работы с базами данных; — Опыт тестирования REST API (ручное и автоматизированное); — Опыт работы с системой версионного контроля GIT (бранчи, пулл-реквесты и тд.); — Опыт работы с системами CI; — Умение использовать тестовые инструменты (Swagger, Postman, Fiddler/Charles, DevTools). Задачи: — Проведение ручного и автоматизированного тестирования мобильных и веб приложений; — Автоматизация тестирования с использованием Java, Selenide, RestAssured, Appium; — Тестирование API и микросервисов; — Проведение функционального и нефункционального тестирования мобильных и веб приложений, включая анализ и тестирование требований; — Написание тестовой документации, подготовка тестовых сценариев для ручного и автоматизированного тестирования; — Разработка фреймворка для тестирования; — Выявление/приоритезация ошибок и сообщение о них в системе отслеживания ошибок, выполнение RCA; — Проведение регрессионного, интеграционного тестирования. Условия: — Возможность поработать на проектах крупного Бигтеха; — Белая зарплата, трудоустройство по ТК РФ; — 31 день оплачиваемого отпуска в год; — Активная корпоративная культура с Online и Offline мероприятиями; — Добровольный ДМС (50% оплата от компании); — Корпоративные внутренние курсы: автоматизация тестирования на Java, нагрузочное тестирование; — Частичная компенсация пройденных курсов на различных платформах; — Добровольная международная сертификация ISTQB с компенсацией от компании; — Корпоративные занятия английским языком; — Оборудование от компании; — Реферальная программа "Приведи друга";

Задачи: Разработка и поддержка веб-приложений на React; Участие в проектировании архитектуры frontend-части; Интеграция с REST API / GraphQL; Оптимизация производительности интерфейсов; Работа с адаптивной и кроссбраузерной версткой; Написание чистого, поддерживаемого и тестируемого кода; Участие в code review и командной разработке; Взаимодействие с backend-разработчиками, дизайнерами и QA. Требования: Уверенное знание JavaScript (ES6+) / TypeScript; Опыт разработки на React; Понимание жизненного цикла React и React Hooks; Опыт работы с Redux / Zustand / MobX или другими state managers; Знание HTML5, CSS3, SCSS/SASS; Опыт адаптивной и кроссбраузерной верстки; Опыт работы с REST API; Понимание принципов UI/UX; Навыки работы с Git; Опыт работы с webpack / Vite; Базовое понимание CI/CD процессов; Умение работать в Agile/Scrum-команде; Коммерческий опыт Frontend-разработки от 2–3 лет. Будет плюсом: Опыт написания unit/integration тестов (Jest, React Testing Library); Знание GraphQL; Опыт работы с Docker; Понимание SSR/SSG; Опыт работы с Figma; Английский язык на уровне чтения технической документации. Условия: Формат работы — гибридный. Удалённый формат работы не рассматриваем. Гибридный формат доступен после прохождения испытательного срока. Конкурентная заработная плата — 800 000 ₸ на руки.

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Staff or Senior Staff Software Engineer on the Product Engineering team at Harvey, you will own and lead engineering projects that span multiple Product Engineering teams and product lines. You'll work closely with our AI, Legal, and GTM teams to build secure systems that deliver value to our customers.   Product Engineering covers a lot of ground, and we're looking for engineers across multiple domains — backend, full stack, and AI. We want people who have built great products across consumer, enterprise, and everything in between, and who are excited about building the future of application layer and genAI products. You'll build both the surfaces where lawyers meet Harvey — web, mobile, and embedded experiences in Word, Outlook, and Slack — and the agentic capabilities that power them.   This role can be based in New York City or San Francisco, with a hybrid schedule of three days a week in office.   WHAT YOU'LL DO - Bring AI to where our customers already work: build Harvey across every surface — web, desktop, mobile, and embedded experiences (Google Docs, MS Word, Outlook, and Slack), and API. - Lead large, high-priority projects that span multiple teams, and define the technical bets we make over the next several quarters. - Find the problems that are business critical, prioritize ruthlessly, and make the big tradeoff calls without slowing anyone down. - Build AI-platform and AI-native capabilities — the agent harness, agent building (custom agents and workflows), tool calling, retrieval, memory and context management, personalization and tone, the thread experience, and the evals that turn model quality into product quality. - Ship the systems that make Harvey work: retrieval over petabyte-scale document corpora, ingestion growing 10x every six months, data collection across 50+ jurisdictions, and government-level security for the world's most sensitive matters. - Ship across the stack — React and TypeScript alongside Python and Postgres — architecting intuitive UX and robust APIs for streaming results, long-running processes, and complex tool-calling workflows. - Mentor senior and staff engineers, and raise the bar for how the whole org builds.   WHAT YOU HAVE - 10+ YoE (post-BS/MS) in a product-focused software engineering role, operating at Staff level or above. - Depth in full stack, backend, or agents/AI — and enough range to be useful outside it. - Experience building scalable, extensible systems that support multiple product lines. - Track record of shipping highly intuitive products in fast-growing SaaS, strong attention to detail. - Experience with React, TypeScript, CSS (we use TailwindCSS), Python, or related. For agents/AI, proficiency in Python plus hands-on work building and shipping agentic systems — agent harnesses/loops, tool use, memory, and evals — not just calling LLM APIs. - You embrace AI in how you build: AI coding tools (Claude Code, Cursor, Codex, or similar) are a core part of how you ship, and you have sharp instincts for where they accelerate work and where they fall short. - A history of influencing and aligning engineers and leaders well outside your direct scope. - Strong programming skills and general Computer Science knowledge. - Grit — experience working at early-stage startups is a plus.   COMPENSATION $231,000 – $340,000 USD   DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.   #LI-PM1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Staff or Senior Staff Software Engineer on the Product Engineering team at Harvey, you will own and lead engineering projects that span multiple Product Engineering teams and product lines. You'll work closely with our AI, Legal, and GTM teams to build secure systems that deliver value to our customers. Product Engineering covers a lot of ground, and we're looking for engineers across multiple domains — backend, full stack, and AI. We want people who have built great products across consumer, enterprise, and everything in between, and who are excited about building the future of application layer and genAI products. You'll build both the surfaces where lawyers meet Harvey — web, mobile, and embedded experiences in Word, Outlook, and Slack — and the agentic capabilities that power them. This role can be based in New York City or San Francisco, with a hybrid schedule of three days a week in office. WHAT YOU'LL DO - Bring AI to where our customers already work: build Harvey across every surface — web, desktop, mobile, and embedded experiences (Google Docs, MS Word, Outlook, and Slack), and API. - Lead large, high-priority projects that span multiple teams, and define the technical bets we make over the next several quarters. - Find the problems that are business critical, prioritize ruthlessly, and make the big tradeoff calls without slowing anyone down. - Build AI-platform and AI-native capabilities — the agent harness, agent building (custom agents and workflows), tool calling, retrieval, memory and context management, personalization and tone, the thread experience, and the evals that turn model quality into product quality. - Ship the systems that make Harvey work: retrieval over petabyte-scale document corpora, ingestion growing 10x every six months, data collection across 50+ jurisdictions, and government-level security for the world's most sensitive matters. - Ship across the stack — React and TypeScript alongside Python and Postgres — architecting intuitive UX and robust APIs for streaming results, long-running processes, and complex tool-calling workflows. - Mentor senior and staff engineers, and raise the bar for how the whole org builds. WHAT YOU HAVE - 10+ YoE (post-BS/MS) in a product-focused software engineering role, operating at Staff level or above. - Depth in full stack, backend, or agents/AI — and enough range to be useful outside it. - Experience building scalable, extensible systems that support multiple product lines. - Track record of shipping highly intuitive products in fast-growing SaaS, strong attention to detail. - Experience with React, TypeScript, CSS (we use TailwindCSS), Python, or related. For agents/AI, proficiency in Python plus hands-on work building and shipping agentic systems — agent harnesses/loops, tool use, memory, and evals — not just calling LLM APIs. - You embrace AI in how you build: AI coding tools (Claude Code, Cursor, Codex, or similar) are a core part of how you ship, and you have sharp instincts for where they accelerate work and where they fall short. - A history of influencing and aligning engineers and leaders well outside your direct scope. - Strong programming skills and general Computer Science knowledge. - Grit — experience working at early-stage startups is a plus. COMPENSATION $231,000 – $340,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-PM1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Chicago DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. The Team: As AI tools drive immense value across the firm, our organization faces a "Dual Mandate": providing low-friction access to the best frontier AI tools while strictly managing an exponentially growing cost curve. The unified AI Platform Team builds the centralized software, operations, and governance layers that safely route users to the most cost-effective models. The Role: We are looking for a Platform Engineer to help build and operationalize our AI tooling ecosystem. Working closely with the Team Lead and Senior/Staff SWE, you will be the hands-on integrator connecting external cloud AI providers, internal models, and end-user tools into our unified control plane. Key Responsibilities: Configure and manage multi-engine API gateways, implementing dynamic routing rules, rate limits, and fallback logic for LLM requests. Execute the technical migration and integration of firm-wide tools into our centralized management plane to ensure all AI traffic is securely logged and governed. Operate within our Shared Responsibility Model alongside the Cloud team to manage AI services deployed in enterprise landing zones (e.g., managing Azure OpenAI instances, model deployments, and API key generation). Write robust Go and Python code to support the continuous sync loop for our usage dashboard and implement automated "progressive friction" mechanisms, such as alerts. Partner with the Inference Infrastructure pod to ensure our self-hosted, on-premise models are successfully registered and routable within our AI gateways. Required Qualifications: Strong backend programming experience, specifically in Go and/or Python. Hands-on experience with API design, integration, and platform/cloud engineering concepts. Familiarity with API gateways, proxy configuration, or distributed system networking. A strong interest in the rapidly evolving LLM ecosystem and the technical mechanics of AI tooling. A collaborative mindset with a focus on writing clean, maintainable code to replace prototype systems. The annual base salary range for this position is $130,000 to $190,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-VD1

Дивизион "Моделирование и исследование данных" отвечает за компетенцию Data Science в Блоке Сеть Продаж. Мы разрабатываем и внедряем end-to-end решения на основе AI в бизнес-процессы Сети Продаж Банка. Ищем человека, вместе с которым мы будем строить топовые AI решения, на основе архитектуры Claw-like & Ouroboros, которые будут в действительности приводить к Disrupt в реальных процессах. Задачи: • разрабатывать с нуля AI-агентов и микросервисы для AI-продуктов • исследовать и внедрять новейшие технологические решения в ИИ - Claw-like & Ouroboros • разрабатывать и дообучать модели машинного обучения (Classic ML, Deep Learning) • разрабатывать алгоритмы взаимодействия ML-моделей и сервисных модулей • принимать участие в разработке архитектуры и дизайна агентов и AI-сервисов • проектировать и разрабатывать backend-части AI-сервиса • принимать участие в оптимизации скорости работы AI-агентов и ML-моделей. Мы ожидаем: • законченное высшее образование • компетенции: Python, Classic ML, Deep Learning, LLM/Agents, MLOps • понимание принципов разработки, внедрения и сопровождения AI-решений • уметь писать хороший и понятный production-ready код на Python, хорошее знание алгоритмов, структур данных • опыт работы с реляционными и нереляционными базами данных • навыки работы с генеративными AI-моделями, опыт создания AI-агентов и использование их в работе будет преимуществом • опыт использования GigaChat, Kandinsky и аналогов в продуктах • инструментальное владение Ai для анализа, генерации и автоматизации • опыт построения отказоустойчивых высоконагруженных распределенных ML систем. Мы готовы предлагать: • график 5/2, офис на м. Кутузовская; • режим работы на выбор - офис или гибрид • достойный уровень вознаграждения (оклад + годовая премия) • возможность стать частью команды, реализующей программы цифровой трансформации банка - на основе передового опыта и инновационных идей • широкие возможности для профессионального развития: корпоративный университет и множество онлайн-программ обучения. Корпоративное обучение за счет компании • бесплатная подписка СберПрайм+, многочисленные скидки и бонусы от партнеров: СберМаркет, МегаМаркет, Самокат, Еаптека и др.

Location: San Francisco Workplace: OnSite 🧠 ABOUT LEGION HEALTH At Legion Health https://legionhealth.com/, we believe everyone deserves fast, affordable, and world-class health care, and we’re developing the AI infrastructure to deliver it ourselves at world scale. Legion is building autonomous medical care (the AI doctor), starting with psychiatry. Our AI-native care-delivery platform currently automates 95% of the administrative work required for us to deliver direct patient care. We also recently became the first company ever to receive regulatory authorization to let AI prescribe psychiatric medications https://nypost.com/2026/03/27/business/artificial-intelligence-can-now-prescribe-mental-health-drugs/, allowing us to not only collapse health care’s admin costs but also its clinical labor costs—shifting this industry’s economics from humans to tokens. Our technical moat is hard to copy—we combine rich data, production AI, doctors in the loop, and end-to-end care operations to deliver measurably better care to a clinically complex patient population. This has helped us produce tens of thousands of total visits in just 2 years, all while holding ops costs flat and achieving industry-leading patient NPS and retention. While the last generation of healthcare startups made the existing system incrementally more efficient, Legion is rebuilding full-stack care delivery from first principles. Our vision? A 10X better patient experience that’s higher quality, less expensive, and more scalable than ever before. And a 10X better clinician experience that frees our providers to focus on what matters most: caring for patients. Legion Health is backed by Y Combinator, leading venture capital firms, and founders from Function Health, Modern Health, Everly Health, Trusted Health, Clipboard Health, PatientPing, Sesame Care, Faire, EasyPost, and fuboTV. Join us as we build the future of health care: faster, higher-quality, and more affordable, powered by doctors and AI working together. 📍 ROLE LOGISTICS - Job Type: Full-Time - Role Type: Product / Technical Product Management / Consumer AI / Patient Experience / Retention - Ideal Experience Level: 5+ years - Location: San Francisco - US Visa Sponsorship: Yes 🚀 THE OPPORTUNITY Legion is hiring a Head of Product to own the consumer product experience that turns AI-native care delivery into something patients can understand, trust, use, and return to. This is not a technical program management role, an enterprise roadmap coordinator role, or a “growth PM” role with healthcare language added on top. You will own real product surface area across Legion’s patient journey: onboarding, intake, eligibility, scheduling, visit prep, provider matching, care-plan clarity, medication workflows, follow-up, renewals, messaging, reactivation, and the moments that make a patient feel safe enough to come back. The right person is technical enough to reason through APIs, data models, event instrumentation, AI workflows, edge cases, system constraints, and engineering tradeoffs, but consumer-minded enough to know that the best product often feels obvious, calm, and human. You should be able to sit with a patient problem, map the underlying clinical and operational workflow, write a crisp product spec, prototype the interaction, instrument the funnel, partner deeply with engineering and design, ship the feature, and decide whether it actually improved care. Legion is a modern consumer AI software company that happens to deliver medical care. That means the product bar is closer to Anthropic, OpenAI, Character.AI http://Character.AI, Replit, Oura, WHOOP, Duolingo, Chime, Monarch, and the best consumer health companies than to traditional healthcare software. We need someone who can bring that level of product taste, technical speed, and retention thinking into a regulated, high-trust category where quality and safety matter. This is a high-ownership IC role with founder-level visibility and a direct path to management of a large product organization. You will work directly with engineering, design, clinical, operations, growth, data, compliance, and the founders to turn messy real-world care delivery into simple, powerful product experiences. ✅ RESPONSIBILITIES AND DELIVERABLES - Own core patient-facing product surfaces across the full consumer journey: discovery, onboarding, intake, insurance/payment clarity, scheduling, provider fit, visit prep, visit completion, follow-up, care-plan adherence, refills, renewals, messaging, support, retention, and reactivation. - Translate complex clinical, operational, regulatory, and AI workflows into simple consumer experiences that reduce anxiety, increase clarity, and help patients know exactly what to do next. - Build durable product systems, not one-off features: patient timeline, care status, tasking, reminders, notifications, escalation paths, asynchronous messaging, support deflection, eligibility logic, provider availability, and follow-up workflows. - Partner with engineering to scope and ship technically sound products across web, mobile-responsive experiences, backend workflows, APIs, third-party integrations, event pipelines, data models, and AI-assisted workflows. - Define and own product metrics for your surface area, including activation, intake completion, scheduling conversion, first-visit completion, time to care, repeat-visit rate, renewal completion, retention, NPS/CSAT, patient confusion, support burden, no-shows, and ops cost per visit. - Use PostHog, SQL, analytics tools, customer support data, operational dashboards, and qualitative research to identify patient friction, prioritize product bets, and measure whether shipped work moved the right metrics. - Design and run structured experiments where appropriate, while knowing when a healthcare product needs principled product judgment, clinical input, and quality thresholds instead of pure A/B testing. - Own product specs, user stories, acceptance criteria, rollout plans, QA checklists, experiment plans, metric definitions, launch notes, and post-launch readouts with enough clarity that engineering, clinical, ops, and growth can all execute cleanly. - Prototype quickly using Figma, v0, Lovable, Replit, Cursor, Codex, Claude Code, lightweight scripts, no-code tools, or whatever helps you make product ideas concrete before engineering invests real cycles. - Ship production PRs regularly. This is a product role—not a software-engineering role—but you are expected to work directly in the codebase and open production-quality PRs for well-scoped changes such as instrumentation, internal tools, workflow logic, UI and copy improvements, prototypes, and small fixes. You should be comfortable testing, reviewing, and safely rolling out your work in close partnership with engineering. - Partner with clinical and operations teams to deeply understand real patient and provider workflows, including edge cases: missed appointments, medication refill timing, insurance confusion, state/provider availability, pharmacies, clinical escalations, patient safety concerns, handoffs, and support loops. - Partner with compliance, legal, privacy, and clinical leadership to design AI-enabled product experiences with appropriate safeguards, human review, auditability, expectation-setting, and patient trust. - Improve Legion’s AI product layer: patient-facing AI interactions, AI-assisted intake, personalization, care navigation, workflow automation, internal copilots, clinical/ops review queues, and evaluation loops that make automation safer and more useful over time. - Create product feedback loops from patient conversations, support tickets, provider feedback, drop-off data, session recordings, funnel analytics, and clinical/ops metrics so the roadmap is grounded in real behavior, not vibes. - Work with growth and brand to ensure acquisition promises match the actual product experience, so the patients we bring in understand what Legion does, feel properly oriented, and are more likely to stay in care. - Raise the product craft bar across Legion: clearer flows, better defaults, fewer dead ends, tighter copy, sharper state handling, cleaner mobile experiences, stronger instrumentation, faster iteration, and more rigorous launch quality. 🏆 YOU’LL BE SUCCESSFUL IF YOU… - Make Legion’s patient experience feel consumer-grade: fast, clear, calm, trustworthy, and easy to return to. - Improve the core retention loop of care: more patients complete intake, make it to their first visit, understand the next step, follow through on care plans, complete renewals when eligible, and come back when they need help. - Turn messy clinical and operational workflows into product systems that scale without making patients feel like they are navigating a maze. - Ship AI-enabled experiences that feel useful and safe, with clear boundaries around what AI does, what doctors do, and when humans review or intervene. - Build a measurement system that makes the patient journey legible: every meaningful step has an owner, a metric, and a path to improvement. - Reduce patient confusion and support burden by improving the product itself, not just by adding more manual operations. - Help Legion move faster without becoming sloppy: strong specs, smart scoping, crisp decisions, high-quality launches, and honest post-launch learning. - Earn trust from engineering because you understand technical constraints and tradeoffs, and from clinical/ops teams because you understand the reality of care delivery. - Create product experiences that are emotionally intelligent without being soft, technically sophisticated without being confusing, and ambitious without being reckless. - Help build the product foundation for a company that can deliver world-class medical care at dramatically lower cost. 🧰 IDEAL BACKGROUND AND SKILLS - 5+ years of product management, product engineering, technical founder, or equivalent experience, with meaningful ownership of consumer-facing web or mobile products. - Strong consumer product instincts. You have shipped products that people actually use, understand, trust, and return to, not just internal tools or enterprise workflows. - Technical fluency across software product development. You can reason through APIs, data models, event instrumentation, backend workflows, frontend states, AI workflows, latency, failure modes, privacy constraints, and engineering tradeoffs. - Hands-on technical curiosity. You can navigate API docs, logs, event payloads, session recordings, agent traces, and enough of a codebase to understand what is really happening without pulling engineers into every first-pass investigation. - Experience partnering deeply with engineering and design from problem definition through launch: discovery, PRDs/specs, UX flows, technical scoping, sprint planning, QA, rollout, metric tracking, and iteration. - Strong analytical ability. You are comfortable with SQL or equivalent data exploration, product analytics tools such as PostHog, Amplitude, Mixpanel, Looker, Hex, or Mode, and you can define useful metrics without waiting for someone else to hand you a dashboard. - Track record improving engagement, retention, activation, conversion, habit formation, lifecycle, or core experience metrics in a consumer product. - High product taste and UX judgment. You care about copy, information architecture, interaction design, empty states, error states, mobile responsiveness, notification timing, trust cues, and the emotional texture of the user experience. - AI-native working style. You already use tools like Codex, Claude Code, Cursor, Replit, Lovable, v0, ChatGPT, Claude, Figma AI, or similar tools to prototype, analyze, write, synthesize, debug, and move faster. - Comfort working on AI-enabled products where the PM must think about prompt behavior, user expectations, evaluation, quality thresholds, fallback paths, human review, auditability, and safety. - Healthcare experience is a strong plus but not required. Experience in another trust-sensitive consumer category such as fintech, insurance, family/kids, identity, privacy, marketplaces, wellness, or regulated consumer products is also valuable. - Startup operating mode: high agency, low ego, high urgency, strong writing, strong judgment, strong follow-through. You can create clarity without waiting for a perfect org chart. - Ability to work cross-functionally with clinical, operations, support, compliance, legal, growth, data, design, engineering, and founders without losing the thread of the user problem. - Excellent writing. You can write crisp strategy docs, product specs, launch plans, decision memos, patient-facing copy, and post-launch analyses. - Bias toward building. You are happiest when you are close to the product, close to users, close to the data, and shipping. - Bonus: experience at or near companies like Anthropic, OpenAI, Character.AI http://Character.AI, Replit, Cursor, Perplexity, Notion, Duolingo, Oura, WHOOP, Chime, Monarch Money, Rocket Money, Acorns, Function Health, Nourish, General Medicine, Circle Medical, Tava Health, Headway, Rula, Midi Health, Evvy, Ro, Hims & Hers, Thirty Madison, Levels, Superpower, or another breakout consumer product with high craft, high trust, and fast iteration. 💰 COMPENSATION & BENEFITS - Salary: $190,000 – $330,000 - Early-Stage Equity: Meaningful ownership in a category-defining company. - Health Insurance: Medical, dental, and vision benefits - Additional Perks: In-person retreats, meal stipends, AI/product tooling budget, learning stipend, home office support - Time Off: Flexible, unlimited vacation policy - Work Hours: Flexible - Work Setup: In-person in San Francisco - Impact: Build the product layer for a company trying to change health care forever. - Autonomy and Learning: Own major patient-facing product surfaces end-to-end, from product strategy through technical scoping, launch, measurement, and iteration. - Growth Opportunities: As we scale, this role can grow into Chief Product Officer. 📝 HOW TO APPLY AND HIRING PROCESS - Apply here: https://jobs.ashbyhq.com/legionhealth/0ffded39-1242-4a35-9bc3-0e5b0ce22276 - Overview of our hiring process: 1. Resume + Application Screen 2. Founder / Product Interview 3. Technical Product Deep Dive 4. Cross-Functional Interviews with Engineering, Design, Clinical/Ops, Growth, and Founders 5. Professional Reference Checks - Estimated time-to-hire: 2 weeks - Start date: ASAP - Hiring manager: Arthur MacWaters 🤝 EQUAL EMPLOYMENT OPPORTUNITY Legion Health is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, contractors, and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, genetic information, or any other protected characteristic under applicable law. We encourage applicants from all backgrounds to apply.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: The Safeguards ML Sampling Path team builds and operates the production services that power Claude's safety systems. These services sit on the token generation path across every platform Claude runs on: every request must pass through them, and each millisecond of added latency is wait time for our users. You’ll keep p99 latency flat as traffic grows, build for robustness as dependencies time out or partially fail, and ship changes safely to a system that cannot go down. What you'll do: Design, build, and operate the backend systems that process every token on the generation path for Claude requests, including the streaming contract with the API and inference engines. Own latency and reliability end to end: define and maintain SLOs and error budgets for added latency, time-to-first-token, and availability, and lead incident response and postmortem follow-through. Ship changes to the hot path rapidly but safely — canaried and gradual rollouts, error budget and latency gating, fast rollbacks — and drive per-token performance: chase tail latency and keep cost flat as traffic, models, and checks per request grow. Set technical direction for the sampling path: lead design reviews, make latency, reliability, and cost trade-off calls with the inference and research teams, mentor engineers, and raise the operational bar for the wider Safeguards organization. You may be a good fit if you: Have designed, built, and operated high QPS systems at global scale, and were accountable for them in production: incident response, outages, and postmortem-driven remediation. Have a strong foundation in distributed systems: replication, consistency tradeoffs, failure modes, and SLO management under load. Design systems for graceful degradation: you plan for a slow dependency, a dropped stream, or a half-rolled-out deploy before it happens, and build so the system degrades predictably instead of failing. Have successfully shipped broad or all-encompassing changes to mission critical systems (e.g., database migrations, interface changes, rewrites). Strong candidates may also have: 8+ years of industry software engineering experience. Familiarity with LLM inference systems and transformer-based models (not required, but a plus). The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States Workplace: Remote As a Senior Software Engineer at Coder, you’ll build and evolve the systems behind our agentic development experience. You’ll work across the agent harness, integrations, and workflows that connect agents with real development environments. You’ll stay hands-on, solve complex technical problems, and work closely with Product, Design, and other engineers to ship reliable agentic experiences.   What you’ll do here - Design and build production systems in Go, with work across React and TypeScript where needed. - Improve agent execution, tool use, context management, streaming, and long-running workflows. - Extend our provider-agnostic architecture as models and capabilities change. - Build reliable integrations between agents, workspaces, tools, and developer infrastructure. - Own projects from implementation through rollout and iteration. - Contribute to design reviews, code reviews, and technical discussions. - Partner with Product and Design to turn agent capabilities into useful developer experiences. - Improve the reliability, performance, and operability of agentic systems.   What we’re looking for - Strong experience building and operating production software systems. - Hands-on experience with Go. - Experience with React and TypeScript. - Experience building systems around LLMs or agentic workflows. - Familiarity with model APIs, tool calling, context management, or agent loops. - Good understanding of distributed systems and production reliability. - Working knowledge of AWS. - Strong problem-solving skills and comfort working through technical ambiguity. - Someone who contributes beyond their own code through reviews, collaboration, and knowledge sharing.   Bonus tacos if you have - Experience building coding agents, developer tools, or cloud development environments. - Experience with MCP, agent tools, or multi-agent systems. - Experience with remote execution, sandboxing, or isolated compute. - Experience building integrations across multiple model providers. - Experience with AWS, Kubernetes, Docker, or Linux. - Open-source contributions or experience working directly with customers.   Our tech stack - Backend: Go, Postgres - Frontend: TypeScript, React - Infrastructure: AWS, Kubernetes - Observability: Prometheus, Grafana - CI/CD: GitHub Actions   Coder’s agentic architecture is provider-agnostic. The foundation is built; this role helps extend it, improve it, and ship the next set of agentic capabilities. ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.