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Location: Sharjah, United Arab Emirates PipeCare Group of companies has been helping the customers ensure the integrity of their pipeline and facility assets for over 20 years. PipeCare Group is looking for an experienced TM Repesenative who will be responsible to manages all aspects of the territory tool fleet and arranges additional tools from Corporate TM, as required. Key Responsibilities & Authorities Arrange for tools, spares and accessories to be delivered to site timely, properly configured and assembled.  These activities require intensive integration of information exchange with the Project Manager. Any shortage of complete information in the PQ shall be assessed together with Corporate TM and the Territory Director/PM so that consensus is reached on how to progress. These activities also include agreeing with the PM tool return date and arranging tool return shipment. Manage all aspects of the territory work shop including proper housekeeping and accurate records keeping. Manage and report the territory tools, spares and accessories inventory: Avoid shortages. Arrange for proper storage and labelling. Arrange for cleaning after project use. Report planned usage monthly. Report success rate of inspection tool runs monthly. Aim at 100% run success rate, assess tool performance and suggest tool design improvements. Charge the project for tool damage caused by poor handling. Arrange proper shipping of all tool, spares and accessories (to and from commercial project sites, between Territory and Corporate TM as well as from suppliers). Forecast, budget and purchase (or return tools to Corporate TM) for the tool fleet (including spares and accessories) from the market for the coming year. This forecast shall also reflect the manpower requirements and the size of the workshop facilities. Assess and record un-used spares and update inventory. Encourage the PM’s to increase/optimize tools and equipment utilization at region/territory. Skills/Experience: Minimum of Bachelor’s Degree in Engineering/Technology, OR related degree Minimum of 5 years’ experience in a tool and production related role, ideally in the Oil & Gas Industry Advance GMP training and implementation skills Strong command of English, knowledge of other languages is plus Must be flexible with work hours & timings Very good in Technical write up. Preferably with electronics or mechanical Engineering background. ERP, Microsoft office, is a basic requirement for software, having experience in Sledworks, AutoCAD software is an advantage

Опыт: около 3 лет коммерческой разработки, около 7 лет с Unity. Стек: Unity, C#, NavMesh, DOTween, Odin Inspector / Serializer, UI, анимации, кастомные редакторы на Unity Graph Tools, Git, Linux, C++ (17/20/23), Go, Aseprite, Figma, Blender (базовые знания). Опыт работы: последние 3 года работал единственным Unity-разработчиком над коммерческой 2D-игрой The Ballad of a True Thug: геймплей, UI, анимации, интеграция ассетов, билды и релиз в Steam, itch.io и VK. Создал нодовую систему диалогов на базе встроенных графовых инструментов Unity для удобства контент-менеджмента без правок кода. Образование: студент МФТИ (ФПМИ, «Системное программирование»), программирует на C++ и Go. Ищет позицию Junior+/Middle Unity-разработчика в команде или проекте, удалённо.

IaC automation: автоматизировать инфраструктуру, делая её максимально устойчивой; Backup & Restore: обеспечивать сохранность и восстановление данных;

Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As a Software Engineer at Baseten, you will own one of the most critical surfaces of our business: pricing, billing, and revenue infrastructure. As we launch more and more products— billing is no longer just operational plumbing. It is a strategic lever for growth. This role will establish clear ownership of billing as a function and create leverage for Finance, Sales, and GTM teams while maintaining a seamless customer experience. RESPONSIBILITIES - Own Baseten’s end-to-end billing and revenue infrastructure, including pricing, invoicing, metering, and reporting foundations. - Build and evolve our billing platform and integrations (including Orb), ensuring correctness, auditability, and a high-trust experience for customers and internal teams. - Partner closely with Finance, Sales, GTM, and Forward Deployed Engineering to turn real-world workflows into reliable internal tooling and automation (quoting, approvals, renewals, usage reconciliation, revenue reporting). - Design systems that scale with new products, packaging, and go-to-market motions, making billing a strategic lever for growth. - Drive reliability and operational excellence for revenue-critical workflows: monitoring, alerting, incident response, backfills, and clear runbooks. - Lead from the front on high-impact projects: clarify requirements, propose crisp technical approaches, ship iteratively, and raise the bar on quality and velocity. - Debug and resolve production issues with urgency, communicating clearly with stakeholders and closing the loop with durable fixes. REQUIREMENTS - Bachelor's degree or higher in Computer Science or related field - Experience with billing systems or building internal tools - Deep knowledge of the web stack & databases - Strong collaboration and communication skills BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Определение видения и стратегии развития продукта, формирование целей и дорожной карты продукта для достижения ключевых метрик. Исследование потребностей клиента, улучшение клиентских путей сервиса, анализ обратной связи пользователей.

Robinhood is looking for a Senior Product Manager to lead trading tools and prediction-market product initiatives for retail investors.

Sunday Robotics is looking for a Senior Product Manager Internal Tools to define and prioritize tools for robot operations, testing, data workflows, and internal users.

Location: San Francisco, CA; Seattle, WA Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ Docker is looking for a Senior Software Engineer to build AI-powered developer tools and the platform behind them on our AI Developer Tools team. You will work at the intersection of AI, developer experience, and platform engineering, building tools that make Docker's engineers more productive and the platform that lets teams across Docker prototype, deploy, and scale their own AI developer tools. As a Senior Engineer you will design, build, and operate: AI-Powered Developer Tools. AI agents and tools that accelerate developer productivity, surface observability insights, and automate operational reviews. You will help teams adopt an AI-native way of working and speed up adoption of tools such as Claude Code and Codex. Examples include AI-powered code review and refactoring assistants, automated test generators and local environment setup tools, deployment pipeline diagnostic agents, and agents that simplify on-call work during incidents. Self-Service AI Developer Tools Platform. Platform infrastructure that lets product and platform teams across Docker unblock themselves by prototyping, building, and deploying their own AI developer tools, using the patterns and standards the team sets. You will report to the Senior Manager, AI Developer Tools, and work closely with the team's Principal and Staff engineers, product engineering teams, and platform teams across Docker. WHAT WOULD MAKE SOMEONE SUCCESSFUL IN THIS ROLE You are a strong, hands-on engineer who enjoys building at the intersection of AI, developer experience, and platform engineering. You have built software on top of LLMs and AI agents and have a good sense of what works in practice. You care about the people using your tools, and you can tell a tool developers love from one they put up with. You take a feature from a vague request to production: you ask the right questions about requirements, design it sensibly, ship it iteratively, and operate it afterward. You are comfortable in a fast-moving AI landscape and balance quality with pragmatism. You make the engineers around you better through thoughtful code review and by sharing what you learn. RESPONSIBILITIES Building and Operating AI Developer Tools - Design, build, and operate production AI agents for developer productivity, including code review assistants, test generators, deployment diagnostics, and incident response automation - Integrate LLM providers, agent orchestration frameworks, and MCP servers into reliable tools, following the team's patterns and standards - Build systems that help Docker's engineers adopt AI-native development tools - Build integrations between AI developer tools and existing developer infrastructure such as CI/CD pipelines, observability platforms, and deployment systems - Instrument your tools so the team can measure adoption, effectiveness, and developer satisfaction Self-Service Platform - Build and improve platform capabilities, including deployment pipelines (ArgoCD/GitOps), observability integration (Grafana), security controls, and cost management, that help teams ship their own AI tools faster - Help reduce time-to-production for new products from weeks to days - Contribute to reliability, security, and performance standards for AI systems, including SLOs, monitoring, and incident response Design and Delivery - Take features and services from requirements to production. Ask about scale, users, and constraints before designing, and write down your assumptions - Write clear design documents for the work you own, and participate in design reviews for the team - Review code thoroughly and share what you learn with the rest of the team - Take part in the team's on-call rotation, and help improve alerts, runbooks, and tooling so the next incident is easier - Follow the AI-assisted engineering practices the team sets: use AI tools critically, validate their output, and stay accountable for what you ship Collaboration and Growth - Work with the Senior Manager and the team's Principal and Staff engineers to understand priorities and shape your work - Partner with Infrastructure, Security, and Data teams on integrations and shared standards - Help newer engineers get up to speed on the team's tools, patterns, and practices - Keep up with emerging AI/LLM technologies and agent frameworks, and bring useful findings back to the team QUALIFICATIONS REQUIRED - 6+ years of software engineering experience building and operating production systems - Hands-on experience building LLM-powered applications, AI agents, or AI-assisted developer tools - Working knowledge of LLM APIs (OpenAI, Anthropic, and others), prompt engineering, agent orchestration frameworks, and practical uses of AI in software development workflows - Experience building and operating scalable backend services, distributed systems, or developer-facing platforms - Experience with cloud-native infrastructure, including Kubernetes, CI/CD pipelines, and observability systems - Proficiency in Go (preferred), Rust, Java, or Python, with strong software engineering fundamentals - Experience building developer tools, platform systems, or internal tools that other engineers rely on - Good product judgment: you weigh developer experience and technical trade-offs, and you ask clarifying questions before committing to a design - Clear written and spoken communication suited to a remote, async-first company - Ownership mentality with a bias for action and iterative delivery in ambiguous, fast-moving environments - Comfortable working autonomously in a distributed, remote-first team - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience PREFERRED - Experience with MCP (Model Context Protocol) or similar AI agent integration standards - Background in developer productivity, DevOps, SRE, or platform engineering - Contributions to open source AI tools, developer tooling, or platform engineering projects - Experience with GitOps deployment patterns (ArgoCD) or Grafana-based observability - Familiarity with security and operational practices for production AI systems - Experience with infrastructure-as-code (Terraform, Pulumi) and major cloud platforms (AWS, GCP, Azure) WHAT TO EXPECT FIRST 30 DAYS - Learn Docker's current AI and developer tooling landscape, the team's services, and the architecture decisions made so far - Meet your teammates, including the Principal and Staff engineers, the Senior Manager, and key stakeholders in product engineering - Ship a useful production change in your first weeks, using the team's AI-assisted engineering workflow - Review existing AI tool prototypes and internal experiments to learn what is working and what is not - Shadow on-call and learn the operational profile of the team's services FIRST 90 DAYS - Own a feature or service from design to production with measurable impact, such as part of an AI code review agent, a deployment diagnostic agent, or an on-call assistant - Write the design document for work you own and take part in team design reviews - Contribute to the self-service platform's deployment pipeline, observability integration, or security controls - Take part in the on-call rotation FIRST YEAR OUTLOOK - Be a go-to engineer for one or more of the team's AI tools or platform components - Have shipped multiple production improvements that Docker engineers use every day, with adoption and effectiveness you can point to - Have helped teams outside AI Developer Tools build and run their own tools on the platform - Have taken on larger and more ambiguous work as your scope grows, and helped newer engineers do the same Docker considers visa sponsorship on a case-by-case basis based on business needs.   Compensation & Equity United States: $160,900 – $260,700 + equity ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: San Francisco, CA; Seattle, WA Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ Docker is looking for a Staff Software Engineer to set the technical direction for key parts of our AI Developer Tools team. You will work at the intersection of AI, developer experience, and platform engineering, building the AI-powered tools and the platform that let teams across Docker prototype, deploy, and scale their own AI developer tools. As a Staff Engineer you will own the technical design and delivery for two areas: AI-Powered Developer Tools. Design and build AI agents and tools that accelerate developer productivity, surface observability insights, and automate operational reviews. You will help teams adopt an AI-native way of working and speed up adoption of tools such as Claude Code and Codex. Examples include AI-powered code review and refactoring assistants, automated test generators and local environment setup tools, deployment pipeline diagnostic agents, and agents that simplify on-call work during incidents. Self-Service AI Developer Tools Platform. Design and build the platform infrastructure that lets product and platform teams across Docker unblock themselves by prototyping, building, and deploying their own AI developer tools. You will set the patterns and standards that let teams experiment, iterate quickly, and graduate successful prototypes into production-ready services. You will report to the Senior Manager, AI Developer Tools, and work closely with the team's Principal engineers, engineering leadership, product engineering teams, and platform teams across Docker. WHAT WOULD MAKE SOMEONE SUCCESSFUL IN THIS ROLE You are a hands-on technical leader who works well at the intersection of AI, developer experience, and platform engineering. You have shipped production systems built on LLMs and AI agents, and you can explain what worked and what did not. You think in platforms: you design something once so that several teams can move faster. You have clear opinions about what makes a developer tool good, and sound judgment about when to build, when to integrate, and when not to do either. You are comfortable in a fast-moving AI landscape and balance technical quality with shipping iteratively. Before you design, you ask about scale, users, and constraints rather than assuming them. You lead through influence and mentorship, and the engineers around you get better because you are on the team. RESPONSIBILITIES Technical Leadership and Architecture - Set technical direction and own the architecture for AI-powered developer tools and the self-service platform within the team's roadmap - Turn ambiguous problems into clear requirements, plans, and staged decisions. Ask about scale, users, and constraints before designing, and write down your assumptions - Establish patterns, standards, and best practices for LLM integration, agent development, and production AI systems that the team and partner teams adopt - Shape platform capabilities including deployment frameworks (ArgoCD/GitOps), observability integration (Grafana), security controls, and operational tooling for AI developer tools - Design reliable, scalable infrastructure for hosting AI agents and developer tools - Recommend AI technology choices, LLM provider strategies, and agent orchestration approaches, and make the trade-offs explicit - Work with the Senior Manager and the team's Principal engineers to align technical decisions with business goals Systems Design and Implementation - Design, build, and operate production AI agents for developer productivity, including code review assistants, test generators, deployment diagnostics, and incident response automation - Build self-service platform capabilities that reduce time-to-production for new AI tools from weeks to days - Build systems that speed up adoption of AI-native development tools (Claude Code, Codex) across Docker's engineering organization - Set and meet reliability, security, and performance standards for AI systems, including SLOs, monitoring, incident response, and cost management - Design integrations between AI developer tools and existing developer infrastructure such as CI/CD pipelines, observability platforms, and deployment systems - Take part in the team's on-call rotation and use what you learn to improve alerts, runbooks, and tooling Strategic Impact and Innovation - Evaluate emerging AI/LLM technologies, developer tooling trends, and agent frameworks, and recommend what Docker should adopt and what it should not build - Define how we measure AI tool effectiveness, including adoption, productivity gains, and developer satisfaction - Improve AI tool performance, cost efficiency, and developer experience through architectural improvements - Contribute to the technical approach for hardening proven internal tools so other teams across Docker can adopt them - Lead cross-team technical delivery, surface risks early, and work with Infrastructure, Security, and Data on shared standards Leadership and Mentorship - Mentor senior engineers on AI/LLM integration patterns, agent development, and platform engineering practices - Lead design reviews and raise the quality of design and code reviews across the team - Create reusable patterns, documentation, and architectural decision records (ADRs) that other engineers build on - Help the team turn good individual AI-assisted engineering practice into shared workflows and controls - This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed. QUALIFICATIONS REQUIRED - 8+ years of software engineering experience, with demonstrated technical leadership on production systems at scale - Hands-on production experience building LLM-powered applications, AI agents, or AI-assisted developer tools - Strong understanding of LLM APIs (OpenAI, Anthropic, and others), prompt engineering, agent orchestration frameworks, and practical uses of AI in software development workflows - Track record of designing and building scalable distributed systems and developer-facing platforms - Production experience with cloud-native infrastructure, including Kubernetes, GitOps deployment patterns, observability systems, and CI/CD pipelines - Proficiency in Go (preferred), Rust, Java, or Python, with strong software engineering fundamentals - Experience designing developer tools, platform systems, or internal tools that other teams rely on - Track record of clarifying requirements and constraints with stakeholders before committing to a design - Track record of leading complex initiatives that crossed team boundaries, and of influencing without direct authority - Strong product and platform judgment: you weigh business outcomes, developer experience, and technical trade-offs - Clear written and spoken communication suited to a remote, async-first company - Track record of mentoring other experienced engineers - Ownership mentality with a bias for action and iterative delivery in ambiguous, fast-moving environments - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience PREFERRED - Experience with MCP (Model Context Protocol) or similar AI agent integration standards - Background in developer productivity, DevOps, SRE, or platform engineering - Contributions to open source AI tools, developer tooling, or platform engineering projects - Experience evolving an internal platform or tool into a widely adopted, production-grade service - Knowledge of security, compliance, and operational practices for production AI systems - Experience with infrastructure-as-code (Terraform, Pulumi) and major cloud platforms (AWS, GCP, Azure) WHAT TO EXPECT FIRST 30 DAYS - Build context on Docker's current AI and developer tooling landscape, including existing AI experiments, LLM provider relationships, and architecture decisions to date - Meet the Senior Manager, the team's Principal engineers, engineering leadership, and key stakeholders in product engineering to understand needs, pain points, and constraints - Review existing AI tool prototypes and internal experiments to learn what is working and what is not - Get hands-on with the team's services and ship a useful production change - Shadow on-call and learn the operational profile of the team's services - Work with the Senior Manager to agree on initial technical priorities FIRST 90 DAYS - Lead the technical framing and delivery plan for one significant problem, from requirements through to production - Document the architecture, technology choices, and integration patterns for that work, including ADRs - Ship a production AI developer tool that sets patterns the team can reuse (for example an AI-powered code review agent, a deployment diagnostic agent, or an on-call assistant) - Contribute to the technical foundations of the self-service platform: deployment pipeline, observability integration, security controls, and cost management - Lead design reviews for your area of the roadmap and begin mentoring other engineers - Take part in the on-call rotation FIRST YEAR OUTLOOK - Be the trusted technical lead for your area of AI Developer Tools, and a sought-after partner for teams across Docker - Deliver at least one material outcome that spans multiple teams or systems - Have multiple production AI tools demonstrating value across Docker's engineering organization - Help build a self-service platform that lets multiple teams build, deploy, and operate their own AI tools with little friction - Define and instrument how the team measures AI tool adoption, effectiveness, and developer productivity impact - Grow other senior engineers into broader ownership, and reduce the number of decisions that depend on a small set of people Docker considers sponsorship on a case-by-case basis based on business needs.   Compensation & Equity United States: $170,350 – $275,550 + equity ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE You’ll own AI-assisted coding within Sentry’s Platform Engineering organization, building the systems and workflows AI coding agents need to contribute reliably to our codebase. Your work will span engineering teams, with Developer Infrastructure as your home base. Your first focus will be making internal developer systems accessible to agents. Many workflows currently depend on human interaction through a UI. You’ll identify the most valuable gaps, expose those capabilities through APIs, and connect tools such as Claude Code to complete development workflows. From there, you’ll improve the quality of AI-generated pull requests and automate recurring engineering work, including dependency upgrades, minor bug fixes, and maintenance. You’ll build the context and execution environment agents need: relevant repository information, tools and permissions, state management, tests, logs, recovery mechanisms, and evaluations. You’ll partner with engineers across Sentry to understand where agents succeed, where they fail, and which changes improve the development process. This role combines technical direction with hands-on implementation, from choosing the problems to solve through building, measuring, and improving the solutions. This role is based in San Francisco, with three days per week in the office to work closely with Platform teams and engineering leadership. WHAT YOU’LL DO - Set priorities for AI-assisted development at Sentry, using engineer feedback and workflow data to identify where agents would provide the most value. - Make internal developer systems accessible through APIs and build integrations enabling agents to complete workflows across those systems. - Build context systems and agent execution tooling, including tool access, permissions, checkpoints, retries, and logging. - Develop automated checks, evaluations, and feedback loops to improve the correctness, maintainability, and review readiness of AI-generated pull requests. - Automate recurring work such as security dependency upgrades, minor bug fixes, and routine maintenance. - Improve supporting developer workflows, including issue triage and CI/CD, where they limit agent effectiveness or create repetitive work for engineers. - Lead changes across engineering teams, build agreement on priorities, and measure whether the tools reduce manual work and improve delivery. HOW YOU WORK - You’ve used AI coding agents on real development work and have informed views on their strengths, limitations, and failure modes. - You bring structure to ambiguous problems, choose a practical starting point, and follow through on delivery. - You move comfortably between infrastructure, backend systems, and developer tooling. - You know when to build, integrate an existing tool, involve another team, or stop work with limited value. - You combine data with direct feedback from engineers to assess whether a solution improves their work. - You explain technical tradeoffs clearly and build alignment across teams and senior leadership. QUALIFICATIONS - 10+ years of software engineering experience, including hands-on ownership of production systems. - Experience building developer tools, infrastructure, or automation used by engineering teams, such as CI/CD systems, internal APIs, code review tooling, or agent workflows. - Hands-on experience using AI coding tools and agents, with an understanding of how context, tool access, and validation affect their output. Prior machine learning experience is not required. - Strong software engineering and system design fundamentals, including experience building reliable integrations across systems. - A track record of leading cross-team technical initiatives from problem definition through implementation and adoption. - Clear written and verbal communication, including explaining technical decisions and recommendations to senior engineering leaders. NICE TO HAVE - Experience building agent harnesses, context systems, evaluations, or automated pull request workflows. - Experience with code review tooling, static analysis, or automated testing. - Experience measuring and improving developer experience or engineering productivity. - Experience with large-scale distributed systems or monolith decomposition. - Public contributions to developer tooling or AI-assisted development projects. The base salary range that Sentry reasonably expects to pay for this position is $220,000 to $400,000 USD, plus an annual performance bonus of up to 15% of base salary. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We're looking for an experienced Technical Program Manager to build and run the program operating system for Figma's growing Internal AI Tooling portfolio. Reporting into the CIO PMO and embedded within the team driving this work, you'll partner closely with Product and Engineering leaders to translate an emerging roadmap into coordinated, secure, and scalable capabilities used across Figma — bringing together Engineering, Security, Legal, Procurement, Data Engineering, Business Systems, IT, Enablement, and business teams. You'll create clarity across this system by establishing lightweight planning and governance, aligning teams around shared milestones and decisions, and ensuring initiatives move from intake through release and operational handoff with clear ownership and measurable outcomes — shaping not only what gets delivered, but also how Figma evaluates, builds, releases, and operates internal AI capabilities as the portfolio grows. The ideal candidate can bring structure to an ambiguous, fast-moving environment without introducing unnecessary process, and can lead complex work through influence rather than direct authority. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Translate the Product Manager's roadmap and prioritized outcomes into integrated program plans, milestones, release schedules, decision points, and clear ownership Manage execution of the Internal AI Tooling roadmap across technical teams and business stakeholders Operationalize a transparent intake and routing process so requests have a defined problem, expected business outcome, delivery path, risk profile, and accountable owner before work begins Establish and facilitate lightweight planning and execution cadences, including program reviews, dependency reviews, decision forums, release-readiness reviews, and stakeholder updates Maintain an integrated view of dependencies, risks, issues, assumptions, and decisions, driving timely resolution or escalation when work is blocked Coordinate security reviews, legal and procurement milestones, data dependencies, vendor commitments, and business-system integrations so these workstreams are engaged at the appropriate stage of delivery Ensure releases have appropriate acceptance criteria, operational ownership, support processes, runbooks, escalation paths, and feedback loops before handoff Partner with Product and stakeholders to define measurable outcomes and provide clear reporting on delivery health, adoption readiness, operational performance, and realized impact We'd love to hear from you if you have: 5+ years of technical program management, or technical delivery experience in a cloud, SaaS, enterprise-technology, or internal-tools environment Demonstrated experience leading complex programs across Product, Engineering, Security, Legal, Data, Business Systems, Operations, and business stakeholders A track record of translating product roadmaps into integrated plans, milestones, dependencies, decision points, release schedules, and measurable outcomes while maintaining clear ownership boundaries between Product, Program, and Engineering Technical fluency with enterprise systems, APIs, integrations, data flows, platform dependencies, identity and access, and software-delivery lifecycles. You do not need to be an engineer, but you should be able to engage credibly in technical planning and tradeoff conversations Excellent written and verbal communication, facilitation, and influencing skills, with the ability to establish lightweight governance, present concise decisions and risks, and create accountability without relying on direct authority While it's not required, it's an added plus if you also have: Direct experience delivering internal AI tooling, platform, or product programs in a rapidly evolving technology environment Experience with responsible AI, model governance, security, privacy, compliance, or AI risk-management frameworks Familiarity with enterprise SaaS, middleware, low-code or no-code automation, identity platforms, data platforms, vendor evaluation, or procurement processes Experience with change management, enablement, enterprise adoption, Product Operations, or establishing a new program-management practice in an emerging organization At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $169,000 — $245,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Key requirements: Java, Python, AWS (EC2, S3), Kubernetes. Job descriptions.

Location: Remote Roles - EMEA; Sliema, Malta Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Opportunity We are looking for a Senior or Lead Product Manager to lead the strategy, development, and continuous improvement of our professional trading tools and end-to-end trading experience. This role is focused on products for active and professional traders. The scope includes advanced market analysis, trading workflows, order execution, position and risk management, workspace customisation, and selected automation capabilities. You will develop a deep understanding of how professional traders use leading platforms such as TradingView, 3Commas, Bookmap, ATAS, and Quantower, and translate those insights into a differentiated, reliable, and intuitive trading experience. Experience in the crypto industry is a strong plus. We welcome candidates who have built professional trading products for equities, futures, options, FX, commodities, or other electronic markets. Experience with crypto markets and products is a strong advantage. What You’ll Be Doing Own the product vision, strategy, roadmap, and delivery of professional trading tools and the broader trading experience. Build a deep understanding of active and professional traders, including their daily workflows, trading behaviours, pain points, and expectations. Lead the development and improvement of market analysis, charting, order execution, position management, account monitoring, and workspace customisation. Identify opportunities to introduce advanced trading and automation capabilities that improve efficiency while keeping users in control of their trading decisions. Improve the quality of the end-to-end trading journey, from discovering an opportunity and placing an order through execution, position monitoring, and post-trade review. Ensure the product meets professional standards for performance, stability, accuracy, usability, and transparency, particularly during periods of high market volatility. Conduct structured user research and competitor analysis across professional trading terminals, charting platforms, and trading automation products. Define product success metrics and use customer feedback, behavioural data, and trading data to evaluate performance and guide priorities. Work closely with engineering, design, data, quantitative research, risk, compliance, operations, customer support, and commercial teams. Translate complex trader needs and market concepts into clear product requirements and intuitive user experiences. Manage technical and commercial trade-offs, dependencies, and delivery risks across multiple teams and product areas. Communicate product strategy, priorities, and outcomes clearly to senior stakeholders and distributed teams. Support and mentor other product managers and contribute to the broader trading product strategy What We Look For In You 5-7+ years of product management experience, with a strong track record of delivering complex user-facing products. Meaningful experience building professional trading tools, trading terminals, charting or market-data products, execution products, or trading automation solutions. Relevant experience may come from equities, futures, options, FX, commodities, multi-asset platforms, or crypto. Direct experience at a crypto company is not required. Strong understanding of electronic trading workflows, including market data, order placement and execution, position management, margin, P&L, and risk controls. Familiarity with leading professional trading products such as TradingView, 3Commas, Bookmap, ATAS, Quantower, or comparable platforms. A strong understanding of the needs of active traders and the ability to simplify sophisticated trading workflows without removing essential control or flexibility. Experience owning the full product lifecycle, including research, strategy, prioritisation, requirements, delivery, launch, measurement, and iteration. Strong product judgement and the ability to balance customer value, usability, technical complexity, business impact, operational risk, and regulatory requirements. Demonstrated ability to use qualitative research and quantitative data to make product decisions. Experience working closely with engineering and design teams on real-time, data-intensive, or high-performance products. Strong cross-functional leadership and the ability to influence teams and senior stakeholders without relying on formal authority. Ability to operate independently, manage ambiguity, and deliver results in a fast-moving, remote-friendly environment. Excellent written and spoken English. English is the working language for meetings, documentation, and daily collaboration. Nice to Haves Experience with crypto spot, perpetual futures, options, CEX, DEX, or on-chain trading products. Hands-on familiarity with professional trading platforms or experience as an active trader. Experience with advanced trading features, algorithmic execution, trading automation, or exchange connectivity. Experience building products across web, desktop, and mobile trading environments. Knowledge of exchange APIs, real-time market-data infrastructure, or broker and exchange integrations. A technical, quantitative, engineering, economics, finance, or mathematics background. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

В компании Google открыта вакансия Engineering Manager для команды, занимающейся инструментами разработки в области искусственного интеллекта. Работа предполагает руководство инженерной группой, которая разрабатывает и поддерживает программные решения, связанные с AI. Кандидат должен обладать опытом управления командами разработчиков, глубокими знаниями в области программирования и технологий искусственного интеллекта, а также умением эффективно организовывать процессы разработки. Местом работы является Варшава, Польша.

Требования: — 5+ лет в IT в целом, включая 2+ года практического опыта создания приложений, агентов и автоматизаций на базе LLM, применение генеративного ИИ в реальных продуктах и бизнес-задачах, подтверждённая старшинство в полном цикле решений. — Опыт разработки на Python: проектирование сервисов, работа с базами данных и API, написание тестов, уверенное владение Git, контейнерами и CI/CD. — Опыт работы с RAG и retrieval: embeddings, векторные базы данных, настройка качества поиска. — Не просто скрипты или расширение существующих автоматизаций. Компания создаёт SaaS-платформу для поддержки малого и среднего бизнеса в области налогов, финансов и бухгалтерии. Условия: — Полностью удалённая работа. — Найм по всей Европе с предпочтением кандидатов, работающих в часовом поясе CET (±3 часа).

Требуется специалист на позицию SDET / QA Automation Architect (Framework & Tooling) в компании YADRO. Вакансия открыта в городах: Москва, Санкт-Петербург, Нижний Новгород. Возможна удалённая работа. Требуемые навыки: — senior уровень — Linux — Python — Pytest — Asyncio — FastAPI

Nebius is a powerful AI cloud infrastructure for developers to build, train, and deploy generative AI apps and ML models in a secure, high-performance environment. The position is on-site in Amsterdam, Netherlands, with a project duration of 3 months. Valid work authorization in the country of residence is required.

Nebius — облачная платформа для работы с AI-моделями на базе процессоров NVIDIA, предоставляет вычислительные ресурсы, хранилища данных и другие сервисы. Вакансия Frontend Engineer (UI Infrastructure and Developer Tools, Early Talent) предполагает работу с технологиями TypeScript или Go, React, HTML, CSS, Git. Компания имеет команду из 200-500 человек и инвестиции в размере $1 млрд, включая средства от NVIDIA. CEO и ко-фаундер — Аркадий Волож, со-основатель и бывший CEO «Яндекса». Для отклика и получения подробной информации необходимо перейти по ссылке: https://careers.nebius.com/?gh_jid=4965819101.