Вакансии

Ваши основные обязанности Разработка и поддержка современных веб-приложений. Создание сложных и интерактивных пользовательских интерфейсов.

- Коммерческий опыт разработки на Flutter / Dart от 3х лет.

В отдел развития продуктов управления сетью требуется Fullstack-разработчик для автоматизации мобильной и транспортной сети всего ПАО МТС Что требуется делать: разрабатывать серверную логику и API, реализовывать отдельные модули backend-логики на Python для задач автоматизации мобильной и транспортной сетей.

Location: Ukraine; Spain; Serbia; Yerevan; Poland Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a senior pod alongside an FDE, an FDX, and Senior AI Engineers — contributing to real delivery work while building toward independent ownership. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket. Excellent communication and problem-solving skills. Comfortable with some ambiguity, with support from senior team members as you take on more. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth Hands-on experience building or contributing to RAG systems, ideally in a production or near-production setting. Solid engineering fundamentals; Python and/or TypeScript proficiency. Productive in an unfamiliar codebase with some ramp-up support. Practical AWS experience (Lambda, S3, ECS, or similar); ready to grow into Bedrock and Bedrock AgentCore . Some experience with containers and CI/CD in real projects. Exposure to evaluating non-deterministic systems — you've contributed to or run test/eval cycles, even if you haven't owned a full eval suite end-to-end. Basic working knowledge of model/agent monitoring concepts. Awareness of cost and latency trade-offs when working with LLMs. Some hands-on exposure to the Claude ecosystem (Claude Code, CLAUDE.md, hooks, skills files) is a plus, or strong ability to ramp up quickly. Practical experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) in real projects. 2+ years of software or ML engineering experience, including some exposure to production systems. Solid AI/ML foundations — you understand what the models do well enough to reason about common failure modes. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications (or actively pursuing them). A2A: Interest in agent-to-agent interoperability concepts. CI/CD pipeline experience (GitHub Actions, GitLab CI). Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа. Experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build. MCP: you can say why an agent would prefer it to a REST integration, having authored a server is an additional  plus. Responsibilities: Build and contribute to RAG system components under senior guidance, with growing autonomy. Write tests and help build out evaluation harnesses for the features you work on. Write production code across the stack (AI, backend services, data pipelines) with code review support. Help integrate AI components into backend services and RESTful APIs. Support deployment of systems to AWS (containerized, CI/CD), taking on more of this independently over time. Contribute to documentation, runbooks, and client handover materials. Participate in technical discussions and architectural decisions, with an eye toward taking on more of this independently. Support model evaluation efforts and help investigate and improve failure modes. Take on increasing ownership of components and technical decisions as you grow in the role. What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Задачи: — Участие в проектировании технических решений в рамках проектов внедрения на базе платформы ELMA365; — Разработка нового функционала платформы, оптимизация и поддержка существующей кодовой базы; — Анализ бизнес-требований от внутренних заказчиков и проектирование бизнес-процессов модулей ELMA365; — Анализ возможности разработки новых модулей и исправления ошибок существующих; — Оптимизация производительности, совершенствование функционала систем, отладка, профилирование и рефакторинг кода; — Участие в разработке ТЗ, оценка трудоемкости и планирование задач; — Разработка технической документации на создаваемые программные решения; — Разработка unit, функциональных и интеграционных тестов; — Работа в единой команде с тимлидом, продакт-лидом, бизнес-аналитиками и разработчиками (включая синхронизацию с внешними разработчиками по запросам на изменение, передаваемым подрядчикам); — Участие в Code Review, планировании, ретроспективе и других командных мероприятиях; — Координация действий с другими разработчиками при проведении совместных разработок. Требования: — Высшее техническое образование; — Понимание архитектуры и принципов работы современных веб-приложений; — Уверенные знания TypeScript и JavaScript, опыт работы со стейт-менеджерами, понимание современной верстки; — Будет плюсом опыт работы с СУБД такими, так: PostgreSQL, MySQL, MsSQL; — Опыт работы в разработке backend части веб-приложений; — Понимание основных методов интеграций и способов обмена между системами такими, как REST API, SOAP, а так же брокерами сообщений RabbitMQ и Kafka; — Опыт работы с гибкими методологиями разработки Agile и SCRUM; — Понимание принципов ООП и современных паттернов проектирования; — Навыки работы с техническим заданием и командой (предложение вариантов решения и обоснование способов выполнения различных задач); — Опыт внедрения, расширения и написания модулей для больших BPM, CRM систем. Условия: — Работа в компании с мировыми стандартами и легендарной историей; — Интересные задачи и профессиональное развитие; — Конкурентоспособный социальный пакет; — Гибридный формат работы.

Мы ищем Senior Flutter разработчика для разработки и развития мобильных приложений компании. - Разработка и развитие мобильных приложений на Flutter (iOS / Android).

Strikt ищет DevOps Engineer уровня Middle на частичную занятость.

Задачи: - Разрабатывать новые фичи и сложные технические решения - Работать над оптимизацией, производительностью и масштабируемостью технических решений - Реализовывать пользовательские интерфейсы, красивые анимации, заботиться о скролле и сохранять iOS-поведение приложения - Взаимодействовать со смежными командами (backend / дизайн / аналитика / QA) Требования: - Имеете опыт разработки 5+ лет на Swift / Objective-C - Знаете Objective-C — обязательно - Быть самостоятельным, уметь принимать решения и нести ответственность за них - Обладаете знаниями в области компьютерных наук - У вас есть глубокое понимание iOS SDK-платформы и HIG - Уже работали с многопоточным программированием и управлением памятью - Знаете современные принципы построения архитектуры мобильных приложений - Умеете и стремитесь решать сложные задачи простым и понятным способом без переусложнений Условия: - Оформление по ТК РФ - Формат работы: офис / гибрид Санкт-Петербург или Москва - ДМС и различного рода бенефиты - Корпоративная техника

-Проектирование и разработка backend-сервисов для платформы «Акрон Тур»: поиск туров, бронирование, расчёт стоимости, личные кабинеты путешественников и агентств, согласование командировок.

Job description: Build and evolve the customer-facing interfaces of an AI-powered vacation rental management platform: scalable UI components, design-system libraries, and frontend integrations with REST and WebSocket backends.

Задачи: — Контроль качества frontend и backend систем — Разработка стратегий API и интеграционного тестирования — Создание тест-кейсов и тест-планов — Проверка данных в базах данных — Выявление, анализ и документирование ошибок — Совершенствование QA процессов — Подготовка тестовых сценариев и документации с помощью AI Требования: — Глубокие знания QA методологий и тестовых процессов — Опыт тестирования API с использованием Postman — Навыки работы с SQL и тестирования на уровне базы данных — Понимание backend архитектуры и интеграций — Опыт тестирования веб и eCommerce платформ — Владение Jira, X-Ray, Azure DevOps, TestRail или Aqua — Знание Agile / Scrum — Свободное владение бизнес-английским (C1) — Опыт работы с AI инструментами, такими как Claude Условия: — Медицинская страховка — Ежегодный оплачиваемый отпуск от 21 дня с возможностью увеличения до 29 дней — Курсы и сертификаты Udemy — Программы карьерного коучинга и профессионального развития — Работа в международной команде — Услуги удалённого спортивного тренера и программы здорового образа жизни

Location: San Francisco Bay Area, USA Workplace: Hybrid Why work at Higgsfield AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. About the role: We're looking for a Data Engineer to own the data that runs Higgsfield's enterprise business, from raw data to the numbers leadership makes decisions on. You'll own data end to end, from raw data collection through transformation, modeling and validation, to the reporting that Sales, RevOps, Finance and Product use to run the business. Revenue, contracts and commissions all run through this work, so accuracy matters. This is a hands-on role with real ownership. You'll report to our Data Engineering Lead, take on projects independently, and help make sure data is never the bottleneck as the business accelerates. We're an AI company, and we expect our data engineers to use AI to multiply what they can deliver. What you'll do: - Own end-to-end data pipelines, from raw data collection and transformation to modeling, validation and reporting. - Integrate CRM, billing, contract and product usage data into a consistent, trusted view of our B2B customers. - Build the data models and dashboards behind revenue reporting, commissions, forecasting and customer insights. - Turn ambiguous business questions from Sales, RevOps and Finance into scoped projects, and drive them to completion. - Close data gaps across teams, whether that means partnering with backend engineering to capture new data or fixing a broken pipeline. - Build AI-powered workflows (agents, reusable skills, automations) that work with our infrastructure and scale your impact. - Validate every number before it ships, with automated checks, monitoring and documentation that keep our data audit-ready. - Build executive-facing reports and dashboards (CEO / VP level) that are easy to read and highlight what needs action Requirements: - 4+ years in data engineering, analytics engineering or a related role, including building and maintaining complex production pipelines. - Hands-on experience building with AI, not just using it: for example, creating custom agents, skills or automations with tools like Claude, ChatGPT, Gemini or Cursor. You know where these tools help and where they fall short. - Strong SQL and Python, plus experience with modern data warehouses and transformation/orchestration tools (e.g., Snowflake or BigQuery, dbt, Airflow or Dagster). - Experience integrating data from business systems such as Salesforce, HubSpot or Stripe. - Structured thinking: you break ambiguous problems into clear steps and solve them methodically. - A proactive, self-directed approach. You learn fast, take ownership without waiting for instructions, and push work over the finish line. - Clear communication, including explaining technical work and its tradeoffs to nontechnical stakeholders. Nice to Haves: - Experience partnering with Finance on data that demands high precision (revenue, billing, commissions). - Early or growth-stage startup experience. Compensation & Benefits - We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth. - Base Salary: The anticipated salary range for this role is $200,000 - $260,000, depending on experience, skills, scope, and location. - Bonus: This role is Bonus eligible and may participate in the Company's discretionary annual bonus program. - Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield’s long-term growth. - Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally, including medical, dental, and vision insurance, a competitive 401(k) retirement plan with company matching, and additional benefits and perks. - The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team. - Significant ownership, direct impact, and opportunities for professional growth as the company scales. This is a hybrid role based in the San Francisco Bay Area. Team members are expected to work from our San Francisco office three full days per week, with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone. We value in-person collaboration, active communication, responsiveness, and close partnership across teams. Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.

We are looking for an AI Developer to join and strengthen our AI department.

Location: United States, Madison, WI Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Technical Program Manager Madison, WI Role Overview As a Senior Technical Program Manager, you will lead the delivery of complex software programs across Commerce Services & Client Experiences within the PlayStation ecosystem. Working closely with engineering, product, design, and quality teams, you will help deliver reliable, scalable services and intuitive experiences that connect players with digital content. You will bring clarity to evolving requirements, build actionable delivery plans, and coordinate execution across multiple teams. This role combines hands-on program leadership with technical understanding, strong judgment, and the ability to build trust and influence without direct authority. You will help teams navigate competing priorities and technical dependencies while keeping customer needs and business outcomes in focus. What You’ll Be Doing Own end-to-end delivery of complex technical programs across multiple engineering teams, driving alignment on outcomes, scope, milestones, dependencies, and launch readiness. Partner with engineering leads, product, and design to clarify requirements, drive technical alignment, surface integration and operational risks, and translate requirements into a sequenced delivery plan. Build and maintain delivery plans with clear milestones, owners, and dependencies, working with engineering leads to account for team capacity and sequencing. Drive cross-team planning and alignment, facilitating the discussions and working sessions needed to make decisions and maintain progress. Manage dependencies across client experiences, backend services, and supporting platforms, ensuring integration points and handoffs are understood and coordinated. Identify delivery risks early, drive mitigation and recovery plans, and escalate issues with clear options and recommendations. Work with product and engineering partners to resolve competing priorities and make informed trade-offs across scope, timing, quality, and technical constraints. Coordinate with engineering, quality, and release partners to support integration testing, issue prioritization, and launch readiness. Communicate program progress, risks, and business impact clearly to technical partners and business stakeholders, highlighting decisions needed and presenting clear options and recommendations. Improve execution across teams by introducing practical changes to processes and tools, measuring their effectiveness, and incorporating feedback. What We’re Looking For Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. 6+ years of technical program or project management experience delivering software products, online services, or consumer-facing experiences. Demonstrated success leading programs across multiple engineering teams, including managing dependencies, aligning priorities, and coordinating releases. Strong understanding of the software development lifecycle, with hands-on experience supporting requirements definition, planning, development, testing, and deployment. Technical understanding of APIs, distributed services, and client-server integration, with the ability to engage engineers on design considerations, implementation trade-offs, and delivery implications. Experience partnering with product and engineering to clarify ambiguous requirements, break down complex work, and manage changes in scope. Practical experience with Agile methodologies, including facilitating planning and delivery activities and using tools such as Jira and Confluence. Strong planning and problem-solving skills, including the ability to assess capacity constraints, anticipate risks, and adjust plans as conditions change. Excellent written and verbal communication skills, with the ability to explain complex issues and present actionable recommendations to different audiences. Proven ability to build trust, resolve disagreements constructively, and influence partners without direct authority. Strong ownership and judgment, balancing attention to detail with an understanding of customer and business impact. Experience working effectively with geographically distributed teams across time zones. Preferred Qualifications Experience with digital commerce capabilities such as storefronts, product catalogs, checkout, payments, subscriptions, or entitlements. Experience delivering customer journeys that span client applications and backend services. Familiarity with the reliability, scalability, security, and privacy considerations of high-volume consumer services. Prior experience in software engineering, systems engineering, or quality engineering. Experience coordinating service integrations, platform migrations, or releases across multiple client surfaces. Familiarity with gaming, digital entertainment, or other large-scale consumer technology environments. #LI-KS1 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. $159,500 — $239,300 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: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 We're looking for a highly skilled and experienced Senior AI Engineer to join our ClickUp Engineering team, with a focus on AI evaluations. You'll own how we measure and improve the quality of ClickUp's AI: building the eval systems that tell us how well our AI is performing, the core agent harness, and the AI that performs well on those evals. You'll work on backend systems that make AI-powered capabilities scalable, reliable, and secure, while working hands-on with LLMs to solve real user problems and drive product innovation.   Key Responsibilities: - Design, build, and own ClickUp's AI evaluation system, including golden datasets, LLM-as-judge and automated scorers, regression detection, and quality tracking across AI features. - Build and evolve the core agent harness, and the AI that performs well on those evals, partnering closely with product and engineering to define what "great" looks like. - Build self-improvement loops where agents modify other agents or prompts, rerun evals, and iterate automatically. - Benchmark new models as they're released and own model selection, routing, and fallback strategies across providers (e.g., OpenAI, Anthropic, Google, open-weight), balancing quality, latency, and cost. - Architect, design, and implement scalable AI platform services that support the deployment, orchestration, and lifecycle management of LLMs and other AI models. - Build and maintain robust APIs and backend systems that integrate AI-powered features into ClickUp's core platform. - Develop infrastructure for model serving, monitoring, logging, and automated evaluation to ensure high reliability and performance of AI services in production. - Drive best practices in AI privacy, security, and compliance, including data anonymization, secure data handling, and regulatory adherence. - Collaborate cross-functionally with product, frontend, and data teams to deliver seamless, reliable, and user-centric AI experiences.   Qualifications: - 5+ years of software engineering experience, including 2+ years building production LLM or ML systems. - Hands-on experience building LLM evaluation systems in production (golden datasets, LLM-as-judge, judge calibration, offline and online evals), tied to real product quality. - Strong experiment design and statistical rigor, including A/B testing, offline vs. online metrics, and separating real regressions from noisy or variable results. - Proven track record of applying LLMs and AI models to real-world, customer-facing product features. - Proven experience integrating and managing multiple LLMs, including benchmarking, routing, and cost/latency/quality tradeoffs. - Deep expertise in backend engineering, distributed systems, and cloud-native technologies (e.g., Kubernetes, Docker, AWS/GCP/Azure). - Strong programming skills in Python (preferred), Go, TypeScript, or similar languages used for backend and AI platform development. - Proficiency in orchestration frameworks and workflow engines (e.g., LangGraph, Airflow, Ray, or similar). - Familiarity with search and retrieval technologies and their integration into AI-driven applications. - Excellent collaboration and communication skills, with a track record of working effectively in cross-functional teams. - Passion for staying at the forefront of AI and applying new technologies to solve real-world problems at scale.   Nice to Have: - Background in data science, applied science, or machine learning engineering. - Experience with eval tooling (e.g., Braintrust, LangSmith, Weave, Arize, or in-house frameworks). - Experience with model routing, AI gateways, or inference optimization.   #LI-REMOTE #LI-AK2 #LI-CC1 Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: Remote, Global Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search — all deeply integrated and designed for growth. We're building the best developer platform to power the next generation of software companies, and our go-to-market team is scaling fast to match. We're looking for a lead in Go-To-Market Strategic Planning, to shape how Supabase's GTM engine runs. This is a high-leverage, high-ownership role that sits at the intersection of strategy, data, and execution. You'll work directly with Success, Sales, Marketing, Finance, Partnerships and Product to build the systems, processes, and insights that help our go-to-market teams move faster and smarter. WHAT YOU'LL DO - Own the end-to-end GTM Strategic Planning, covering territory design, segmentation design, target planning and GTM capacity planning. - Build and maintain a single source of truth for planning data across HubSpot, BigQuery and Hex. - Translate company priorities into field actions through designing the planning strategy and seeing it through to execution. - Partner with Sales Leadership to design and iterate on coverage models, segmentation, and team structures that reflect how developers actually buy. - Define and track the metrics that matter, and surface insights that drive action, not just reporting. - Lead the Strategic Planning roadmap: guide and lead in tooling investments and evaluate new systems and processes against real business needs. - Work cross-functionally with talent acquisition, ensuring GTM and territory models stay aligned. - Collaborate with GTM Engineering on automations and data pipelines so that your strategy translates into working systems, not just slide decks. WE'LL EXPECT YOU TO - Operate with high ownership. You set your own agenda, escalate when needed, and don't wait to be asked. - Work asynchronously and document clearly. We're a globally distributed team and writing is how we think. - Bridge strategy and execution. From drafting segmentation approaches in Google Docs to using SQL to monitor its effectiveness. - Build for scale without over-engineering. Simple systems that work beat perfect systems that don't ship. - Stay close to the customer. Developers are our buyers, and understanding how they discover, adopt, and expand is core to everything you'll do. YOU MIGHT BE A FIT IF YOU - Have 6+ years of experience in Revenue Operations, Strategy Consulting, GTM Strategy, or Sales Operations at a B2B SaaS or developer-tools company. - Are fluent in the GTM stack: HubSpot, BigQuery, and Hightouch. - Can write SQL comfortably and aren't afraid to get into the data yourself before asking an analyst. - Have experience designing or overhauling sales processes, forecasting cadences, or territory models in a high-growth environment. - Understand product-led growth motions: PLS, usage-based triggers, and how PLG data flows into commercial pipelines. - Thrive with autonomy and are energized by building things that didn't exist before you joined. - Communicate with clarity across Finance, Sales, Success, Partnerships, Engineering, and Marketing without losing nuance. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: United States (Remote) Workplace: Remote ROLE SUMMARY We're looking for a senior software engineer to join a high-impact team building the systems that power Temporal Cloud's customer experience at scale. Our team owns some of the most critical surface area in the product — Namespaces https://docs.temporal.io/cloud/namespaces, Audit Logs https://docs.temporal.io/cloud/audit-logs, and Export https://docs.temporal.io/cloud/export. Namespaces are the core unit of isolation within Temporal Cloud, providing security boundaries, workflow management, unique identifiers, and dedicated gRPC endpoints. Audit Logs and Export give customers reliable access to the operational and compliance data they depend on. In this role, you'll work on a new initiative, set technical direction and build systems that directly shape how customers provision, operate, and extract value from Temporal Cloud. You'll partner closely with engineers, product managers, and solutions architects to design resilient architectures, drive cross-functional execution, and raise the bar on reliability and scalability for our most critical features. If you thrive on ambiguous, high-leverage problems and take pride in building durable systems that grow with the business, we'd love to meet you. WHAT YOU’LL DO - Lead the Design of Business-Critical Systems: Own end-to-end technical design and delivery for the services that power namespace scalability, reliability, and the customer data products built on top of them. - Bridge Instrumentation and Product Value: Partner with analytics and product engineers to ensure what gets collected actually powers meaningful customer insights; translate business questions into durable event schemas that outlast the feature that introduced them. - Architect Data Pipelines for Scale and Correctness: Define and evolve our data pipeline architecture for high-throughput usage and operational data; make principled tradeoffs across data freshness, query cost, tenant isolation, and fault-tolerance. - Drive Data Quality as a First-Class Concern: Establish schema contracts, pipeline-level anomaly detection, and alerting for silent failures — holding the line on data correctness before bad numbers reach customers. - Raise the Engineering Bar: Set quality standards through code and design reviews; introduce patterns and tooling that improve maintainability, observability, and incident response across the team. - Mentor and Multiply Impact: Grow the engineers around you, unblock execution, and foster a culture of ownership, learning, and pragmatic excellence. - Improve Developer and Customer Experience: Identify opportunities to streamline customer flows via automation, better tooling, and targeted platform improvements that reduce friction and support load. TECHNOLOGY STACK - Primary Language: Go - Data Storage: PostgreSQL, Redshift, S3, Google Cloud Storage, Azure Blob Storage - Data Warehouse: Snowflake, Databricks, Clickhouse, Big Query - Data Processing: Kinesis, Firehose - Infrastructure: Kubernetes - Core Framework: Temporal (of course 😉) WHAT YOU’LL BRING - Deep experience designing and delivering production-grade backend systems in cloud environments, with direct ownership over architecture and operational outcomes — including what happens when things go wrong. - Strong proficiency in at least one systems or backend language (Go preferred), with the ability to navigate large codebases and drive technical decisions with confidence. - Hands-on experience building and operating distributed systems: concurrency, reliability, scaling, consistency, and failure handling in production. - Solid experience with data pipelines and storage systems (Postgres, Redshift, Kafka/Kinesis, S3-compatible storage, Clickhouse) and a track record of ensuring correctness and traceability at scale. - Experience with production operations: observability, incident response, performance tuning, on-call readiness, and continuous delivery. - Ability to work effectively across functions — translating ambiguous requirements from product managers and solutions architects into clear, executable technical plans. - Strong written and verbal communication: you write crisp design docs, align stakeholders on tradeoffs, and can explain a complex system to someone who didn't build it. - A builder's mindset: you enjoy simplifying complex workflows, improving tooling, and leaving systems better than you found them. WHAT YOU CAN EXPECT - High-impact ownership over systems tied directly to revenue, customer lifecycle, and platform scalability - Collaborative engineering culture focused on quality, pragmatism, and measurable outcomes - Exceptional technical colleagues and a feedback-rich environment - Lean processes and autonomy without unnecessary bureaucracy - Strong emphasis on reliability and operational excellence—balanced with rapid iteration - A team that values mentorship, thoughtful design, and steady improvements that compound over time Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: Intellias Meet your recruiter Carmen Beck carmen.beck@intellias.com https://www.linkedin.com... Vacancy details Software Engineering Fullstack AI Product Engineer Middle United States Office APPLY NOW REFER A FRIEND See the impact you make as an Applied AI Software Engineer delivering production‑ready solutions from day one. What project we have for you Our client is seeking an Applied AI Software Engineer to design, build, and deliver internal tools that improve the day-to-day effectiveness of engineering teams across requirements, validation, and UX/UI functions. The engineer will develop production-ready, AI-enabled applications that integrate existing models, LLM APIs, and AI services into practical business workflows. Typical solutions may include tools that generate engineering reports from structured inputs and prompts, or video-analysis workflows that identify activities in uploaded video, capture time-stamped events, and produce concise summaries. This is an execution-focused software engineering role, not an AI/ML research or model-development position. The successful candidate will use technologies such as Python, JavaScript/React, and AWS services to build reliable end-to-end pipelines, user-facing applications, and integrations that meet enterprise quality, security, and usability expectations. Working closely with engineers and cross-functional stakeholders, the candidate will help turn operational needs into maintainable AI-enabled tools and deliver them through established development practices. This is a full-time, fully onsite position in Raymond, Ohio, performed five days per week during standard business hours. What you will do Independently engage with requirements, validation, UX/UI, and other engineering stakeholders to understand current workflows, pain points, process gaps, and opportunities for automation or AI-enabled improvement. Elicit and clarify ambiguous business needs; translate them into practical problem statements, user journeys, functional requirements, acceptance criteria, technical designs, and incremental delivery plans. Assess solution options and independently recommend appropriate architecture, AI services, cloud platforms, frameworks, and implementation approaches based on user value, technical feasibility, security, maintainability, cost, delivery timeline, and the existing engineering environment. Design, develop, test, deploy, and maintain internal AI-enabled software tools that improve engineering productivity and operational workflows. Build end-to-end applications and pipelines that process engineering artifacts and data—including documents, spreadsheets, structured data, images, and video and produce useful outputs such as reports, summaries, classifications, etc. Integrate and orchestrate existing AI capabilities, including LLM APIs, managed AI services, computer-vision tools, and supporting libraries. This role focuses on applying existing models and services rather than training or developing foundational AI/ML models. Develop maintainable backend services, APIs, data-processing logic, and automation primarily in Python; contribute to JavaScript/TypeScript and React-based user interfaces where needed. Create prototypes or proof-of-concepts when useful to validate technical feasibility and user value, then evolve validated concepts into secure, reliable, supportable production solutions. Establish appropriate AI-output evaluation and validation methods, including test cases, structured output controls, error handling, observability, logging, and human review where the workflow requires it. Collaborate closely with cross-functional teams throughout discovery, implementation, testing, rollout, and continuous improvement; communicate scope, decisions, trade-offs, status, risks, dependencies, and technical limitations clearly. Participate in technical design reviews, code reviews, testing, troubleshooting, release activities, and ongoing support; maintain clear technical documentation, user guidance, and required project records. Perform assigned duties independently and in a timely, accurate, and professional manner. Adhere to organizational policies, procedures, security expectations, and applicable quality and safety requirements. What you need for this Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, a related technical field, or equivalent practical experience. Two or more years of professional experience in software engineering, including building, delivering, and maintaining production-quality applications, services, or internal tools. Strong proficiency in Python, including writing clean, maintainable, testable code and debugging software issues. Hands-on experience integrating existing AI capabilities into software solutions, such as LLM APIs, managed AI platforms, computer-vision services, or AI libraries. Experience building backend services, APIs, data-processing workflows, automation, or system integrations. Experience developing and deploying cloud-based applications using AWS, Azure, GCP, or similar platforms. Ability to evaluate technical options and recommend practical tools, frameworks, and architecture approaches based on user needs, security, maintainability, delivery timeline, and existing team capabilities. Ability to work effectively within established architecture, coding standards, version-control practices, and software-development processes with minimal onboarding. Experience collaborating with engineering and non-engineering stakeholders to translate operational needs into practical technical solutions. Strong written and verbal communication skills, including the ability to document technical decisions, communicate trade-offs, and clearly report delivery status, risks, and dependencies. Ability to work full-time, onsite in Raymond, Ohio, five days per week during standard business hours. Preferred Qualifications Experience with AWS services; the current team primarily uses AWS, with services such as S3, Lambda, EC2, Bedrock, IAM, CloudWatch, and API Gateway potentially relevant depending on the solution. Experience with JavaScript or TypeScript and React for internal web applications. Experience applying generative AI to business or engineering workflows. Familiarity with prompt engineering, structured outputs, model evaluation, retrieval-augmented generation (RAG), and validation methods for AI-generated results. Experience working with enterprise engineering artifacts and data sources, such as Excel files, documents, video, databases, or structured and unstructured data. Familiarity with Docker, CI/CD pipelines, automated testing, infrastructure-as-code, application monitoring, and production deployment practices. Familiarity with secure development, identity and access management, data privacy, logging, and responsible-AI practices. Experience working in agile or another structured enterprise software-development environment. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills AI AWS Python