Вакансии

Location: Singapore About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role: Network Engineering Manager APAC / Network Team Lead APAC We are looking for a Staff Network Engineer / Player-Coach Team Lead to lead the growth, deployment, and operational execution of our APAC Network Infrastructure emerging team . In this role, you will combine direct people leadership with high-end technical expertise. You will lead a growing regional team of 2–5 jun/mid-to-senior network engineers , driving their professional development, cross-project prioritization across our Global Network , and overall execution aligned with global business objectives, with a priority on the APAC Region and backbone network development across EU and the US for APAC. As a hands-on technical manager, you will remain deeply embedded in engineering execution, dedicating approximately 50–70% of your time to hands-on engineering during your first year, with the role evolving naturally alongside organizational scale and regional team expansion. Crucially, this position demands a high degree of operational autonomy . Due to the timezone differences, you will serve as the primary regional networking authority, bridging global network architecture defined with our EU/EMEA/the US engineering headquarters and regional execution across APAC colocation sites, cable landings, and data centers. This position is remote within the APAC region (with preferred hubs in India, Singapore), with regular visits to regional DC facilities and our European headquarters in Amsterdam. Your responsibilities will include: Team Leadership & People Management Deploy APAC network part and BackBone. Lead, mentor, and structurally develop a regional engineering team of 2–5 jun/mid-to-senior network engineers across the APAC. Own regional task planning, backlog prioritization, change review governance, and end-to-end execution within the team. Drive and owning the Launch and Deploy process of New DataCentre and Customer in it Drive technical coaching, and personalized career roadmaps for team members. Foster a disciplined culture of radical ownership, engineering excellence, comprehensive runbook documentation, and Git-driven automation. Act as the regional net escalation point for production network incidents Global Follow-the-Sun Alignment: Co-own operational hand-off workflows and shared incident coverage with EMEA (HQ in Amsterdam) and the US network teams to guarantee seamless, round-the-clock global production network stability and customer workability. Cross-Functional Alignment & Strategic Autonomy Serve as the primary regional network owner for the next teams in APAC: datacenter operations team, site expansion teams. EU/EMEA Coordination: Actively partner with the Global Network Architecture and R&D to adapt core architectural standards (Clos fabrics, SRv6, backbone routing policies) to APAC market realities and carrier ecosystems. Autonomously drive regional connectivity delivery: partner closely with Technical Program Managers (TPMs) on submarine cable systems, cross-border DCI circuits, local Internet Exchanges (IXs), and regional transit providers. Coordinate with HWaaS, Compute, and Cloud Platform engineering teams to guarantee timely site bring-up, Day-0 Out-of-Band (OOB) readiness, and high-throughput fabric availability for production workloads. Bridge the gap between global strategic roadmaps and autonomous local incident resolution, ensuring APAC operations execute reliably during EMEA off-hours. Technical Leadership & Hands-on Work (50–60%) Full Regional Network Ownership: Own and guarantee overall network infrastructure readiness, capacity, and availability across emerging APAC network infrastructure, ensuring alignment with HQ blueprints and processes Actively contribute to the design, deployment, and operation of massive data center fabrics and backbone infrastructure. Support and participate in the evolution high-performance Ethernet-based GPU cluster interconnects. Participate in complex, high-severity troubleshooting and root-cause analysis (RCA) for critical infrastructure incidents. Oversee and contribute to network automation pipelines, tooling, and telemetry/observability development. We expect you to have: Expert-Level Technical Background: Service Provider or/and Data Center Clos networks. BGP, IS-IS, Segment Routing (SR-MPLS / SRv6), and advanced traffic balancing Ethernet switching, EVPN-VXLAN architectures, and L3 VPNs. Leadership Experience: Proven track record as a Tech Lead, Lead/Staff Engineer, or People Manager leading mid-to-senior engineering teams. Vendor Ecosystem: Juniper, Arista, Cisco, NVIDIA It will be an added bonus if you have: Hands-on experience with GPU cluster, RoCEv2/ECN or InfiniBand networks Solid understanding of Public Cloud networking models and Software-Defined Networking (SDN) overlays. Proficiency in Python or Go for infrastructure automation and production tooling within Linux environments. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

В компании INDEXIS открыта вакансия Bitrix developer Middle. Задачи: — выполнение задач по верстке и разработке на 1С-Битрикс. Требования: — опыт работы 8 лет. — работа с технологиями 1С-bitrix, PHP, HTML, CSS, jguery, git, ajax. Условия: — локация: РФ. — ставка: 2000. Также в компании есть вакансия Bitrix developer Senior с опытом 10 лет и стеком 1С-bitrix, Битрикс24, PHP, HTML, CSS, jguery, git, ajax, Twig, Mindbox, ставка 2300. CV по запросу в личные сообщения.

Location: Belfast, Northern Ireland, Remote Workplace: remote Olo is a leading SaaS platform accelerating digital transformation in the restaurant industry, by helping customers deliver more personalised and profitable guest experiences. As a result, our digital ordering, payment, loyalty and guest engagement solutions enable brands to do more with less and make every guest feel like a regular. While our roots are in NYC, we’re intentionally investing in Belfast and Northern Ireland as a key hub, with an established leadership presence, a local team, and community for the long term. This role is fully remote, offering you flexibility to work from anywhere within NI. Your new role In this role, you’ll join as a Software Engineer on the ‘BrandX’ team, which is part of the wider ‘Order Engineering’ group. BrandX (Brand Experience) builds the tools restaurant brands and Olo's internal teams use to run their business on Olo. We own the Dashboard that brand operators log into every day, the internal Admin application, and the billing and invoicing systems that turn platform usage into invoices. We also own how brands sign in and manage their users, including SSO and two-factor authentication, and we are building Olo AI Assist, a natural-language assistant inside the Dashboard. The team is seven engineers spread across the US and Europe, and you'd be our first hire in Northern Ireland. Because the team sits between brands, Finance, and the rest of Order Engineering, the work is varied. One week you might be shipping a new Dashboard settings page, the next you're tracing a billing discrepancy across our finance integrations or teaching Olo AI Assist a new skill so a brand can update hours across hundreds of stores just by asking. You'll pair with senior engineers, review and ship code most days, and use Claude Code as a normal part of how you work. How you’ll make an impact Learn the BrandX domain and technology stack, and get to know the brands, Finance partners, and Order Engineering teams we work with. Own small-to-medium features end to end, from understanding the requirement to shipping it, with senior engineers available when you need them. Write code that meets our standards, and participate in code reviews as both author and reviewer. Build reliable and maintainable software, with test coverage that matches the risk of the change. Contribute to the team’s delivery pipeline, including test coverage, CI, and deployment practices. Use Claude Code and GitHub Copilot as your default way of building, and help the team push what these tools can do. Troubleshoot and debug production issues, learning how our systems fit together along the way. Participate in team ceremonies such as daily stand-ups and retrospectives, sharing updates and feedback. Take part in learning activities, including game days and training sessions, to build familiarity with Olo’s tools and processes. Join the on-call rotation, with responsibilities that grow as you learn the team’s systems. What will set you up for success Bachelor’s Degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. 1 to 3 years of professional software engineering experience, or a strong portfolio of shipped projects. Working knowledge of C# and .NET, and comfort reading code you didn't write. Some experience building web UIs. We use React and TypeScript, but any modern framework is a fine starting point. Comfortable with SQL and relational data. A lot of our work is understanding how data moves between systems. You understand the difference between unit, integration, and end-to-end tests and when each one earns its place. AI coding agents are your default way of working. You use tools like Claude Code daily, you can explain the fundamentals underneath what they generate, and you're excited about a team that expects you to push them further. You ask questions early, write things down, and are comfortable working with colleagues in other time zones. About Olo Olo is a leading restaurant technology provider with ordering, payment, and guest engagement solutions that help brands increase orders, streamline operations, and improve the guest experience. Each day, Olo processes millions of orders on its open SaaS platform, gathering the right data from each touchpoint into a single source—so restaurants can better understand and better serve every guest on every channel, every time. Over 800 restaurant brands trust Olo and its network of more than 400 integration partners to innovate on behalf of the restaurant community, accelerating technology’s positive impact and creating a world where every restaurant guest feels like a regular. Learn more at olo.com. Applicant Privacy Notice (United Kingdom)

Location: Prague Job Overview We are looking for an Analytics Engineer who will own dbt Cloud in our organisation and maintain the analytics pipelines built on top of it. You will administer dbt Cloud across multiple independent projects, keep our business-critical pipelines running (including finance data models), and support analysts in other teams as a mentor and go-to person for dbt. Our stack is Snowflake, dbt and AWS, with Python for tooling and automation. We are also building AI-assisted and agentic workflows into our daily work, and you will take an active part in this. Reports to Director of Mobile and New Games What will you do? Administer dbt Cloud for the whole organisation: project setup, environments, permissions, CI/CD, version upgrades and cost control Set up and support multiple independent dbt projects, define common standards and conventions so teams stay aligned Develop and maintain production dbt pipelines, including complex finance models where accuracy and trust are critical Mentor analysts on dbt, SQL modeling, testing and code review Tune Snowflake performance and cost, improve pipeline reliability and monitoring Build tooling and automation in Python (AWS Lambda, S3, orchestration, metadata workflows) Drive AI adoption in our analytics engineering work: build common AI skills for dbt development (documentation, testing, code generation) and automated agentic workflows that the whole team can reuse Follow current trends in AI tooling and agentic systems, evaluate new approaches and bring the useful ones into the team What are we looking for? 4+ years of experience in analytics engineering, data engineering or a similar role Strong hands-on dbt experience, ideally including dbt Cloud administration (projects, environments, jobs, CI/CD), not only model development Strong SQL and data modeling skills Production experience with Snowflake, including performance tuning and cost awareness Python for data tooling and automation Experience with AWS services used in data platforms (Lambda, S3) Experience owning business critical pipelines: data quality testing, incident handling, communication with non-technical stakeholders Experience with mentoring or supporting analysts Fluent English What additional skills will help you stand out? Strong understanding of agentic AI workflows: practical experience building LLM based agents, AI skills and automated workflows for engineering tasks Experience with multi-agent setups (orchestration of several agents, subagents, agent-to-agent handoffs) Good understanding of current trends in the AI space and ability to judge what is actually useful for a data team Experience with multi-project dbt setups (dbt Mesh, cross-project references or similar) Experience with finance or revenue data (reconciliation, reporting-grade accuracy) Background in gaming, mobile apps or other consumer product analytics Familiarity with marketing and attribution data (AppsFlyer) or product telemetry dbt certification Work mode Hybrid (3 days of work from the office) This role isn't eligible for relocation & immigration support. Benefits Benefits and perks are tailored to the local market and culture. Our benefits in Prague include: 5 weeks of Annual Leave per calendar year Additional paid time off Sick Leave Compensation, Maternity & Paternity Leave Benefits Career development and education opportunities within the company Meal card contribution Public transportation allowance Premium private healthcare Mental well-being program (iFeel) Multisport Employee discounts Personal Gaming Account Coffee, fruits, and snacks in the office Company events Seniority Awards Referral program - You can recommend the best talents to the company and receive a reward Please submit your CV in English to ensure smooth processing and review. About Wargaming Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz. Please see Wargaming Candidate Privacy Policy for details on how Wargaming uses your personal data.

Location: Belgrade Job Overview We are looking for an Analytics Engineer who will own dbt Cloud in our organisation and maintain the analytics pipelines built on top of it. You will administer dbt Cloud across multiple independent projects, keep our business-critical pipelines running (including finance data models), and support analysts in other teams as a mentor and go-to person for dbt. Our stack is Snowflake, dbt and AWS, with Python for tooling and automation. We are also building AI-assisted and agentic workflows into our daily work, and you will take an active part in this. Reports to Director of Mobile and New Games What will you do? Administer dbt Cloud for the whole organisation: project setup, environments, permissions, CI/CD, version upgrades and cost control Set up and support multiple independent dbt projects, define common standards and conventions so teams stay aligned Develop and maintain production dbt pipelines, including complex finance models where accuracy and trust are critical Mentor analysts on dbt, SQL modeling, testing and code review Tune Snowflake performance and cost, improve pipeline reliability and monitoring Build tooling and automation in Python (AWS Lambda, S3, orchestration, metadata workflows) Drive AI adoption in our analytics engineering work: build common AI skills for dbt development (documentation, testing, code generation) and automated agentic workflows that the whole team can reuse Follow current trends in AI tooling and agentic systems, evaluate new approaches and bring the useful ones into the team What are we looking for? 4+ years of experience in analytics engineering, data engineering or a similar role Strong hands-on dbt experience, ideally including dbt Cloud administration (projects, environments, jobs, CI/CD), not only model development Strong SQL and data modeling skills Production experience with Snowflake, including performance tuning and cost awareness Python for data tooling and automation Experience with AWS services used in data platforms (Lambda, S3) Experience owning business critical pipelines: data quality testing, incident handling, communication with non-technical stakeholders Experience with mentoring or supporting analysts Fluent English What additional skills will help you stand out? Strong understanding of agentic AI workflows: practical experience building LLM based agents, AI skills and automated workflows for engineering tasks Experience with multi-agent setups (orchestration of several agents, subagents, agent-to-agent handoffs) Good understanding of current trends in the AI space and ability to judge what is actually useful for a data team Experience with multi-project dbt setups (dbt Mesh, cross-project references or similar) Experience with finance or revenue data (reconciliation, reporting-grade accuracy) Background in gaming, mobile apps or other consumer product analytics Familiarity with marketing and attribution data (AppsFlyer) or product telemetry dbt certification Work mode Hybrid (3 days of work from the office) This role isn't eligible for relocation & immigration support. Benefits Benefits and perks are tailored to the local market and culture. Our benefits in Belgrade include: Additional vacation days based on years of service at Wargaming: up to 5 days on top of the statutory minimum Additional paid time off (5 Personal Days, Birthday Leave, Marriage Leave, Compassionate Leave) Sick Leave Compensation, Maternity Leave Benefits Premium Private Health Insurance Career development and education opportunities within the company English clubs and platform for learning languages Mental well-being program (iFeel) Commuting allowance Company events FitPass membership Discounts for employees Personal Gaming Account Coffee, fruits, and snacks in the office On-site canteen with subsidized prices for food and drinks Seniority Awards Referral program - you can recommend the best talents to the Company and receive a reward Please submit your CV in English to ensure smooth processing and review. About Wargaming Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz. Please see Wargaming Candidate Privacy Policy for details on how Wargaming uses your personal data.

Location: Nicosia Job Overview We are looking for an Analytics Engineer who will own dbt Cloud in our organisation and maintain the analytics pipelines built on top of it. You will administer dbt Cloud across multiple independent projects, keep our business-critical pipelines running (including finance data models), and support analysts in other teams as a mentor and go-to person for dbt. Our stack is Snowflake, dbt and AWS, with Python for tooling and automation. We are also building AI-assisted and agentic workflows into our daily work, and you will take an active part in this. Reports to Director of Mobile and New Games What will you do? Administer dbt Cloud for the whole organisation: project setup, environments, permissions, CI/CD, version upgrades and cost control Set up and support multiple independent dbt projects, define common standards and conventions so teams stay aligned Develop and maintain production dbt pipelines, including complex finance models where accuracy and trust are critical Mentor analysts on dbt, SQL modeling, testing and code review Tune Snowflake performance and cost, improve pipeline reliability and monitoring Build tooling and automation in Python (AWS Lambda, S3, orchestration, metadata workflows) Drive AI adoption in our analytics engineering work: build common AI skills for dbt development (documentation, testing, code generation) and automated agentic workflows that the whole team can reuse Follow current trends in AI tooling and agentic systems, evaluate new approaches and bring the useful ones into the team What are we looking for? 4+ years of experience in analytics engineering, data engineering or a similar role Strong hands-on dbt experience, ideally including dbt Cloud administration (projects, environments, jobs, CI/CD), not only model development Strong SQL and data modeling skills Production experience with Snowflake, including performance tuning and cost awareness Python for data tooling and automation Experience with AWS services used in data platforms (Lambda, S3) Experience owning business critical pipelines: data quality testing, incident handling, communication with non-technical stakeholders Experience with mentoring or supporting analysts Fluent English What additional skills will help you stand out? Strong understanding of agentic AI workflows: practical experience building LLM based agents, AI skills and automated workflows for engineering tasks Experience with multi-agent setups (orchestration of several agents, subagents, agent-to-agent handoffs) Good understanding of current trends in the AI space and ability to judge what is actually useful for a data team Experience with multi-project dbt setups (dbt Mesh, cross-project references or similar) Experience with finance or revenue data (reconciliation, reporting-grade accuracy) Background in gaming, mobile apps or other consumer product analytics Familiarity with marketing and attribution data (AppsFlyer) or product telemetry dbt certification Work mode Hybrid (3 days of work from the office) This role isn't eligible for relocation & immigration support. Benefits Benefits and perks are tailored to the local market and culture. Our benefits in Nicosia include: 21 days annual leave (additional days based on years of service: up to 25 days) Additional paid time off (5 Personal Days, Birthday Leave, Marriage Leave, Compassionate Leave) Sick Leave (10 days top-up to statutory allowance per year) Maternity Leave (18 weeks top-up to statutory allowance per case) Career development and education opportunities within the company English Language courses fully covered by the company upon Manager’s approval Private Health Care Mental well-being program (iFeel) Onsite gym and spa Free parking close to the Nicosia offices, based on availability Free drinks-equipped kitchen in every floor building Eurobank benefits (if applicable) Employee discounts (e.g. restaurants, bars, etc.) Personal Gaming Account Onsite canteen with subsidized prices for food and drinks Company events, Social Clubs Seniority Awards Referral program - You can recommend the best talents to the company and receive a reward Please submit your CV in English to ensure smooth processing and review. About Wargaming Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz. Please see Wargaming Candidate Privacy Policy for details on how Wargaming uses your personal data.

Location: Bangalore, India GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. About the role As a Staff Backend Engineer, you will provide technical leadership across your team and adjacent teams, solving the highest-scope and most complex problems in your area. You will lead large, cross-cutting backend initiatives, drive our modular architecture strategy, and define the standards that let teams move faster without compromising quality, security, reliability, or operability. This is a technical leadership role that combines deep backend expertise, systems judgment, product judgment, and influence across organizational boundaries. You will work with Product, Frontend, Infrastructure, Security, Data, Engineering Managers, and engineers across product groups, bringing subject matter expertise, and you will do it without relying on formal authority. Why you’ll love this role Leverage: Your work multiplies across teams. The platforms, standards, and architectural decisions you lead determine how quickly everyone else can ship. Genuinely Hard Problems: You’ll lead the modernization of a large monolith toward modular, reusable, appropriately independent systems — at the scale of a platform used by millions of users. Influence Without Bureaucracy: You’ll shape technical direction across teams through clear written proposals and decision records, and partner with Product and Engineering leadership on platform roadmap and investment trade-offs. Frontier AI Work: You’ll lead adoption of AI-assisted and agentic engineering workflows and define the review, quality, security, and privacy guardrails that make them safe to rely on. Autonomy: You’ll thrive in our remote-first, asynchronous organization, where clear written communication and self-direction are the pillars of success. What you’ll do Lead Cross-Cutting Initiatives: Lead the technical design and delivery of large backend initiatives that span teams, and identify and remove systemic bottlenecks across product and infrastructure groups. Own Architecture Strategy: Drive modular backend, service, data, and platform architecture. Lead modernization of the monolith and legacy backends toward modular, reusable, and appropriately independently operated systems — while preventing fragmentation and service sprawl. Set the Standards: Define and improve standards for APIs, contracts, compatibility, schema evolution, testing, security, performance, observability, operability, and maintainability — plus the build, test, deploy, release, rollback, and production-readiness practices needed to operate modular features safely. Establish Shared Patterns: Create the patterns for dependency management, data ownership, eventing, failure isolation, service maturity, and operational documentation. Establish Go service patterns and Kubernetes operating practices where they matter to our production estate, and guide Rust adoption where it solves a real systems, security, performance, or supply-chain problem. Own What You Build in Production: Take part in on-call and incident response for the systems your teams own, act as a technical escalation point during complex incidents, and turn what you learn into architectural and operational improvements that prevent recurrence. Influence and Partner: Shape technical direction across teams without formal authority, and partner with Product and Engineering leadership on platform-level roadmap decisions and investment trade-offs. Grow Engineers: Mentor Senior and Intermediate engineers, shepherd technical debt reduction and reusable patterns that improve throughput, and raise the technical capability of the wider team. Lead AI Adoption: Lead team-level adoption of AI-assisted and agentic workflows, including the quality, security, privacy, and operational guardrails, and help engineers direct, validate, reject, and course-correct agent output. On-Call Support: Take part in on-call or operational support where your team’s ownership model requires it. What you’ll bring Cross-Team Technical Leadership: A sustained record of technical leadership across more than one team or a broad product area. Deep Architecture Experience: Deep backend architecture and production experience in complex applications, services, or platforms, including scaling or governing APIs, service platforms, data systems, modular monoliths, or shared backend components. Modularization in Production: Experience modernizing a monolith or legacy backend architecture in production, and with modular architecture such as bounded contexts, package encapsulation, ports and adapters, service extraction, event-driven boundaries, or an equivalent approach. Influence Without Authority: A strong ability to create alignment through clear written proposals and decision records, so decisions are documented, understood, and adopted without constant escalation. Product Judgment: The ability to balance customer outcomes, delivery speed, technical health, reliability, and long-term platform investment. Mentorship: Experience mentoring engineers and shaping standards through code review, documentation, and example. Agentic AI Leadership: Production experience with AI-assisted or agentic engineering workflows, including the ability to evaluate and improve how a team adopts them. Helpful experience Go services and APIs at scale. Kubernetes and cloud-native operations, including deployment, scaling, observability, rollback, and production readiness. Rust adoption or production ownership for systems, security, performance, or platform components. Ruby/Rails modularization and large-monolith modernization. PostgreSQL scaling, data partitioning, queues, messaging, or distributed systems. Security-sensitive product or software supply chain engineering. Experience across SaaS, single-tenant, self-managed, or air-gapped deployment constraints. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Poland; Georgia; Serbia Workplace: Remote About Samsung Food (Whisk) At Samsung Food (you might know us as Whisk), we are pioneering the future of everyday care and health — helping individuals and families around the world live better through connected, proactive, and personalized experiences. Our mission is to connect food, health, and home across the Samsung ecosystem, turning data from your devices into personalized guidance that supports you and your loved ones. We work at the intersection of AI, nutrition, behavior change, and digital health. The Samsung Food app was included in Google Play’s Best of 2020 Everyday Essentials list, has been regularly featured on the Apple App Store, and was nominated for a 2021 Webby Award. We’ve also launched Vision AI, which recognises food and meals using our global Food Genome, and developed deep integrations with Samsung Health and SmartThings. We are a remote-first team of more than 100 people in over 30 countries, united by our commitment to innovation and impact. As part of Samsung Electronics, we combine the agility of a startup with the scale of the world’s largest consumer electronics company. Join us and help build technology that improves daily life for tens of millions of people across phones, wearables, TVs, and kitchen appliances in the years to come. Learn https://samsungfood.com/working-at-samsung-food/ more about how we’ve shaped a high-performing global team over the past 14 years. ABOUT THE ROLE Samsung Health helps hundreds of millions of people understand their health, through the devices already in their hands. We're looking for a Staff Product Manager to lead the product definition behind a new AI coaching capability; the end to end experience, coaching logic, the behaviour model, and support the engine build and the practice for evaluating whether the coaching is genuinely good. The problem takes real judgment: coaching that arrives at the few moments that actually matter, and stays quiet the rest of the time. You'll own that judgment layer. This is a senior individual contributor role. You won't have direct reports, though other team members will look to you for day to day direction. You'll report to the Head of Product and work across teams in Europe, Asia and North America. WHAT YOU'LL DO - Own the coaching experience. Start user first, and ensure the behaviour model and the decision logic serve what it feels like to be coached and determine what a coach says and, more often, when it stays quiet. - Make decisions leave the room. Several organisations across several time zones build against what you define. Your job is to produce things others can act on without you present. Not documentation; thinking made buildable. - Own the seams. Multiple interfaces across organisational boundaries. Contracts, schemas, who writes what, what happens when a signal doesn't arrive. - Hold the evidence for coaching quality. Accuracy is the easy half. Helpfulness, personalisation, and whether a coaching moment feels like support are the hard half. You'd apply our thinking, extend it where it's thin, and own the evidence that the coaching is actually good. - Decide what ships and what waits. Including what a first release is allowed to be wrong about, and what it isn't. WHAT YOU BRING You've taken something from undefined to launched. A product that reached real users while accountable for the outcome. You've invented a definition from an ambiguous starting point and can demonstrate the artefact you created to do it. Product craft - You go into the material. You write, sketch and prototype your way to a definition rather than arriving with one. The brief describes what you found; it isn't the first thing you produce. - You feel where an experience fails before the data says so - and you can name why it fails as a principle, not a preference. - You author coherence. You can take a pile of features, screens, models, and constraints and turn it into one thing that feels intentional beyond a sum of parts. - You treat AI product failures as context problems before model problems. What information reaches the model, when, in what form, and the minimum that produces an acceptable answer rather than the ideal one. - You've killed something that worked. A feature that functioned, tested fine, and still wasn't earning its place. Knowing what to cut is part of product judgment. How the work travels - Your writing does work. Specs, one-pagers, decision notes; these are how you think, not what you produce after thinking. Your artefacts survive being re-told into other organisations without you in the room. - You start before the box is drawn. You don't wait for requirements, but you don't build blindly either. You'll decide at 60%, name the risk, and correct as needed. - You anticipate what another organisation will need. Part of this job is being read correctly by people who may not sit in your meetings, in a different location, in a different working language. - You've built ambitiously inside real constraint. A platform owner, a regulator, a parent company, an enterprise partner. You treat constraint as material to design with rather than a reason things don’t work. - You've worked more than one way, and you know which way fits. Discovery, delivery, evaluation, decision-making, practised in different company shapes, so you can say why a method suits this situation.

Location: AU: Melbourne: (260 Burwood Rd) Workplace: Hybrid At Xero, we’re here to supercharge small businesses. By making small business more efficient every day, connecting them with big business technology and empowering a community behind them, their potential is limitless. When that happens, we’re not only helping small business, we’ll be building a stronger economy that can change the world.At Xero, we’re here to supercharge small businesses. By making small business more efficient every day, connecting them with big business technology and empowering a community behind them, their potential is limitless. When that happens, we’re not only helping small business, we’ll be building a stronger economy that can change the world. THE ROLE & TEAM Product Data Science & Engineering is a portfolio team within Product & Technology. Partnering across Product, Engineering, Design, Marketing, and Commercial leadership, we set Xero’s data science strategy across broad product areas and operate in an AI-native way—using AI to transform how we work, not just what we ship. The team co-own Xero's metrics stack, experimentation strategy, and enterprise data architecture and builds AI-powered customer experiences including the Jax chatbot and agentic workflows—in partnership with Anthropic, OpenAI, and Google. They also lead AI measurement and productionisation. We work in an AI-native way. That means AI changes how data science itself gets done here, not just what we ship. This is a new strategic leadership role created to scale Xero's data science and AI capabilities. You will take full ownership of the data science, analytics, ML, and AI strategy and execution across Accounting & Bookkeeping, Small Business, and AI products. This role combines strategic product vision (including Jax, agentic workflows, and AI-powered features) with platform thinking across the metrics stack, experimentation, data quality, and governance, driving enterprise-level impact across every product team. WHAT YOU’LL DO - You will translate company-level objectives into strategic sub-objectives across analytics, ML, AI products, and experimentation, elevating both the quality of decisions and the leverage Xero gains from its data and AI investments. - Lead, mentor, and grow a team of data scientists, analytics engineers, ML engineers, and managers, scaling the function from ~12 to ~30. - Design team structures and operating models that preserve high throughput across multiple locations and time zones. - Operate as an AI-native leader, driving how AI changes how data science operates and ships value across Xero. - Act as the primary data partner to Product & Technology, advising C-suite and SLT on data utilization, retention strategy, new data domains, and AI investment decisions. - Represent data science in executive forums and partner with Product, Engineering, Design, Marketing, Commercial, Legal, Privacy and Risk on strategy, prioritisation and governance. - Own AI governance, model risk, data quality, privacy posture, and experimentation integrity across the portfolio, ensuring company-wide compliance and integrity. - Drive behavioral, technical, and cultural standards across the vertical. Own and improve global hiring practices, build talent maps, and coach senior leaders and individual contributors to raise the bar across Xero. - Proactively identify delivery and strategic risks, designing robust organizational processes that yield consistent, high-quality outcomes for Xero. WHAT YOU’LL BRING WITH YOU We welcome candidates from analyst, scientist, engineer, or AI/ML-focused backgrounds—a linear data science career is not required. What matters most is that you have operated, shipped, and led at scale within a fast-paced technology environment. As a self-starter and executive partner, you will shape and lead strategic agendas alongside C-suite and senior leadership, driving throughput across multi-location, global teams. You excel at bringing structure to complex cross-functional challenges, managing ambiguity, and maintaining a strong "Xero-first" mindset focused on delivering strategic value and accountable execution. - Ability to act as a proactive self-starter and executive partner, shaping strategic agendas with C-suite and SLT, presenting to board-level leadership, and influencing key investment decisions. - Proven ability to manage ambiguity, bring structure to complex cross-functional challenges, sustain throughput across multi-timezone teams, and hold stakeholders accountable to a "Xero-first" standard. - Skilled in leading managers, coaching leaders into senior roles, developing high-performing teams, and constructively escalating strategic risks when necessary. - Experienced in navigating teams through significant scale-ups, operating model transformations, and continuous evolution in fast-paced environments. - Practical experience leveraging frontier-model platforms (e.g., Anthropic, OpenAI, Google) to build agentic workflows, chatbots, and AI-powered products, as well as transforming team operating models using AI workflows. - Substantial experience leading data science, ML, or analytics functions, with a proven track record of managing other people leaders across multi-team structures. - Extensive experience building and running enterprise-scale data science functions, AI/ML productionisation, AI governance, model risk frameworks, and experimentation integrity. - Deep technical fluency across applied ML, analytics engineering, instrumentation, eventing, and schema governance, with a strong engineering mindset focused on building scalable platforms and reusable architectures. - Prior exposure to SaaS or small business segments, with a track record of driving scale, data quality, and privacy compliance. - Technical bachelor's or master's degree (PhDs welcome for applied, high-impact organizational challenges), supported by public thought leadership or open-source contributions in data or AI. WHERE AND HOW YOU CAN WORK This role is based in Sydney or Melbourne with a flexible hybrid working setup, spending 1 to 2 days per week in the local office to connect and collaborate. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Ищется опытный Frontend Developer уровня Senior для работы над медиа-платформой, которая использует технологии искусственного интеллекта и мультиагентные системы. В проекте применяются React, TypeScript, JavaScript, Next.js, Redux Toolkit, RTK Query, Server-Sent Events и CSS3. Кандидат должен обладать глубокими знаниями и навыками в указанных технологиях для разработки и поддержки интерфейса платформы.

Задачи: — Разрабатывать AI-агентов на Python — Интегрировать модели и внешние API — Работать с RAG и Tool Calling — Упаковывать решения в Docker — Разворачивать через Helm в Kubernetes — Работать с ArgoCD и анализировать логи — Исправлять ошибки и самостоятельно обновлять production-деплои — Работать с SCA-сканерами и зависимостями Требования: — 3–6 лет опыта, Middle / Senior — Python + LangChain / LlamaIndex / Semantic Kernel или аналоги — Docker, Kubernetes, Helm — Bash, debugging, анализ логов — Понимание AI Agents, RAG, Tool Calling — Глубокое понимание Python-зависимостей (pip, poetry, virtualenv) — Высокая самостоятельность: от кода до запуска в production Условия: — Формат работы: Remote — Занятость: Full-time — Зарплата: до 260 000 ₽ на руки — Оформление: ИП / СМЗ — Локация: РФ, гражданство РФ

Location: Los Angeles, USA Riot engineers bring deep knowledge of specific technical areas but also value the chance to work in many broader domains. As the Engineering Manager, you'll be tasked with building the long-term success for your organization by helping define the product vision, mentoring and growing talent, and being accountable for delivering results. As an Engineering Manager on the League of Legends Alternate Play Modes theme, you will lead and contribute to an engineering pod that delivers new game modes to the League ecosystem for the future of league of legends. You will maintain and help drive meaningful changes to our list of game modes, modernizing them for the future of League of Legends. You will report to the Senior Engineering Manager for the Alternate Play Modes theme and work in a hybrid environment from our Los Angeles office. Responsibilities: Manage a small group of engineers, providing mentorship, guidance, and career support. Contribute directly to implementation, with a focus on UI and player-facing gameplay systems. Uphold engineering best practices in maintainability, scalability, testing, and documentation. Collaborate with product managers, designers, and artists to deliver meaningful changes to our list of rotating game modes. Partner with other engineering groups to ensure technical consistency and integration across League of Legends. Required Qualifications: 8+ years of professional software engineering experience. 2+ years in engineering management or a tech lead role in game development. Strong proficiency in C++ and experience with large, complex codebases. Proven track record of building and shipping UI/UX features in games or player-facing gameplay systems. Comfortable balancing leadership responsibilities while remaining actively hands-on with coding. Strong communication skills and ability to collaborate across disciplines. Bachelor’s degree in Computer Science or equivalent experience. For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE Open to hiring remote — we also have offices in New York, San Francisco, Seattle, London, Paris, and Tel Aviv. Runway is hiring a Detection & Response Engineer to own how we find and stop attacks against our infrastructure, our research environment and our products. Securing a company that trains and serves frontier video models is a different problem from securing a typical SaaS product. The environment includes research compute, large training datasets, a fast-moving build pipeline and engineers who work inside AI-assisted tooling every day. Each of those changes what an attack looks like and what you need to see to catch it. You'll join the Security team and build our detection and response program the way an engineer would: detections as code, response as automation, evidence as something you can query. This is a role with real ownership: you'll own the detection program end to end, from what we log to how quickly we close an incident. You'll report to the head of security, partner with engineers across platform and research, and shape how this function grows from here. WHAT YOU'LL DO - Own detection and response end to end: what we log, what we alert on, how we triage and how we recover - Write and tune detections as code across multiple cloud environments, Kubernetes, identity systems, endpoints and SaaS, and measure them on coverage and precision rather than alert volume - Lead incident response from the first alert through containment and forensics, then write the post-incident review people actually read - Build automation that takes toil out of triage, including enrichment, correlation, containment actions and evidence collection, and use LLM-based tooling where it holds up under audit - Monitor AI agents and developer tooling operating inside our environment, and turn that into concrete telemetry and controls - Partner with platform and research engineers so new systems ship with logging and response playbooks in place on day one - Run threat hunts and tabletop exercises against the parts of the environment that worry you most, and fix what you find - Turn incident and detection metrics into evidence for SOC 2, ISO 27001 and enterprise customer security reviews, working with our GRC team - Participate in an on-call rotation for security incidents WHAT YOU'LL NEED - Hands-on incident response experience: you've triaged live alerts, led investigations and written up what happened afterward - Experience building and tuning detections in a modern SIEM, ideally managed as code - Working knowledge of how attackers move through cloud and Kubernetes environments (IAM abuse, container escape, credential theft, supply chain compromise) and what that leaves behind in logs - Comfort writing Python, Typescript, Rust or another language to automate response work and connect security tools - Familiarity with at least one major cloud platform and with Kubernetes at the level of audit logs, RBAC and workload identity - Clear writing. Incident timelines, detection documentation and updates to leadership are all part of the job - Judgment about what to alert on, what to automate and when to wake someone up EVEN BETTER IF YOU HAVE - Experience monitoring GPU or HPC-style infrastructure, or research environments with large datasets - Experience building detections or guardrails for AI agents, LLM tooling or MCP servers - Cloud forensics experience: disk and memory acquisition, cloud audit trail reconstruction, chain of custody - Published open source detection content Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE *Open to hiring remote — we also have offices in New York, San Francisco, Seattle, London, Paris, and Tel Aviv. Runway is hiring an Infrastructure Security Engineer to secure the platform our models are trained and served on. The role covers Kubernetes platform security, cloud identity and access, software supply chain, tenant isolation in the serving layer and the research infrastructure behind our models. Securing a company that trains and serves frontier video models is a different problem from securing a typical SaaS product. The environment includes research compute, large training datasets, a fast-moving build pipeline, and engineers who work inside AI-assisted tooling every day. Each of those changes what an attack looks like and what the platform has to enforce to stop it. This is a hands-on engineering role on the Security team. You'll write policy, tooling and infrastructure code, work in the platform team's repositories, and ship controls that hold up in production. WHAT YOU'LL DO - Design and ship security controls in our Kubernetes ecosystem: admission policy, RBAC, workload identity, network policy and runtime hardening across every cluster we run - Harden the software supply chain from dependency intake through build and deploy, including package firewalling, artifact signing and provenance, and admission controls that block what doesn't pass - Own cloud IAM and identity architecture: least-privilege roles, short-lived credentials and workload federation - Secure research infrastructure and training pipelines, including access to model weights and datasets, without slowing down the people using them - Threat model new platform components before they ship and turn the findings into concrete requirements the owning team can act on - Build guardrails for AI agents and developer tooling operating inside our infrastructure - Write infrastructure as code and policy as code, and treat security configuration with the same review and rollout discipline as any other change - Give the incident response team what they need when infrastructure is involved: fast answers about how a system works and what to shut off WHAT YOU'LL NEED - Hands-on experience securing Kubernetes in production: you've written admission policies, debugged RBAC and workload identity problems and understand how a cluster gets compromised - Working knowledge of cloud IAM and networking on at least one major cloud platform, including how identity federation and short-lived credentials actually work - Experience with infrastructure as code and GitOps-style deployment, and the habit of shipping security changes through the same pipeline as everything else - Comfort writing Python, Typescript, Rust or another language to build tooling, not just scripts - An understanding of software supply chain attacks and the controls that stop them: signing, provenance, SBOMs, admission enforcement - Clear writing. Design docs, threat models and explanations to engineers who don't work in security are all part of the job - Judgment about which controls to enforce, which to recommend and how to roll out a breaking change without breaking the company EVEN BETTER IF YOU HAVE - Experience securing GPU or HPC-style compute, training pipelines or research environments - Experience with policy engines and admission controllers (Kyverno, OPA Gatekeeper, Falco or similar) - Multi-tenant isolation design in a cloud environment: ABAC, scoped credentials, per-tenant boundaries - Experience producing security architecture evidence for SOC 2, ISO 27001 or other audits and customer assessments - Open source contributions or published work in cloud or Kubernetes security Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Office of the Chief Commercial Officer is a small team that works directly with our CCO, go-to-market leadership, and company leadership on Anthropic’s highest-priority commercial initiatives. We take on problems that do not sit cleanly inside one team, such as standing up a program that spans Product, Finance, Legal, and Sales, or preparing the material our executives and Board use to make decisions. Our commercial business is growing faster than its operating processes can be built, so a growing share of the job is stepping into gaps and running something important, while making sure other teams are building the capabilities to permanently own. You will own workstreams end to end. One week that means running the go-to-market side of a pressing situation, from the communications plan for customers and account teams to the daily readout for executives. Another week it means building the analysis behind a resourcing decision or a new program and writing it up for the CCO. This is an internal role. You will report to the CCO’s chief of staff, and you will have an unusually broad view of how the company makes decisions. Key Responsibilities: Drive priority go-to-market initiatives from plan to delivery, removing blockers, escalating early, and connecting the right people across teams at the right time Build the analysis, draft the document or deck, and turn input from many teams into a recommendation executives can act on Prepare content for the CCO and leadership team, including weekly staff meetings, updates to the Office of the CEO, Board materials, and leadership offsites Track the go-to-market organization’s top priorities and keep a current view of status, owners, and risks Act as a bridge between go-to-market and Product, Finance, Legal, Safeguards, and Research, so that what account teams hear from customers reaches product decisions and those decisions reach account teams in a usable form Step in where something important has no clear owner, run it until it has a permanent home, and hand it over cleanly Close out same-day executive requests quickly and to a high standard You may be a good fit if you: Have 4+ years of experience in management consulting, strategy and operations, a chief of staff team, or a similarly rigorous environment working with senior executives Structure ambiguous problems well and get to a clear recommendation Can get to a number yourself in a spreadsheet, in SQL, or with Claude, check it against a second source, and explain where it came from Write and speak clearly and briefly for executive audiences Are as willing to maintain the tracker and chase the last open items as to write the strategy Are comfortable with significant autonomy and with priorities that shift on short notice, pay close attention to detail, and know when to escalate Build trust quickly with senior people across the company who are short on time Use AI tools as a core part of how you work Care about Anthropic’s mission and about getting safe, useful AI to customers Strong candidates may also have Experience in technology, SaaS, or enterprise software, or exposure to go-to-market strategy, sales operations, or customer success Experience running a product launch, a program office, or another cross-functional effort with many owners and a fixed date Familiarity with how large enterprises buy and adopt technology, including security, legal, and procurement review The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $190,000 — $270,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Задачи: — Собирать и структурировать вводные от заказчиков, уточнять бизнес-задачу и определять подход к ее решению; — Определять необходимые данные для анализа и самостоятельно находить/выгружать их; — Строить прогнозные модели для оценки отдельных инициатив и бизнес-кейсов; — Формировать сценарии и учитывать риски и неопределенность при построении прогнозов; — Разрабатывать модели для оценки результатов на уровне отдельных инициатив и всего направления; — Формулировать выводы и рекомендации на основе проведенных расчетов; — Готовить презентации и аналитические материалы для стейкхолдеров; — Документировать методологию, допущения, логику расчетов и результаты. Требования: — Опыт работы бизнес - аналитиком от 3 лет; — Уровень Middle+ / Senior; — Продвинутый Excel, уверенное владение расчетами и моделированием; — Практический опыт построения прогнозных моделей и сценарных расчетов; — Умение самостоятельно декомпозировать бизнес-задачу и определять необходимые для анализа данные; — Умение работать с неопределенностью и учитывать риски в моделях; — Навык понятно презентовать результаты расчетов и формулировать выводы для бизнеса; — Самостоятельность и высокий уровень ответственности за результат. Условия: — Офис, где приятно быть: уютное пространство с зонами коворкинга — выбирай, где работать; — ДМС (стоматология включена); — Врач прямо в офисе; — Фреш-бар от Novikov Group; — Кофе, чай, фрукты, снэки — каждый день; — Обеденные зоны с настолками и массажными креслами Yamaguchi; — Официальное оформление по ТК РФ.

Задачи: — Выстраивать и развивать QA-процессы в команде. — Участвовать в анализе требований и выявлять риски до начала разработки. — Проводить функциональное, интеграционное, регрессионное и end-to-end тестирование. — Тестировать API, базы данных, обмен данными и интеграции между компонентами системы. — Разбирать логи и совместно с разработчиками локализовывать причины ошибок. — Формировать тестовые сценарии и критерии готовности релиза. — Организовывать тестирование решений на стендах и с реальным производственным оборудованием. — Развивать автоматизацию тестирования. — Выстроить подход к автоматизации QA с использованием ИИ: генерация и актуализация тестов, анализ требований, подготовка тестовых сценариев, анализ результатов прогонов и поиск потенциальных дефектов. — Помогать развивать QA-команду и культуру качества внутри разработки. Требования: — Опыт работы QA на уровне Senior / Lead. — Хорошее понимание техник тестирования и тест-дизайна. — Опыт тестирования сложных интеграционных систем. — Знание REST API, SQL, JSON/XML. — Умение работать с логами и самостоятельно проводить первичную диагностику проблем. — Понимание клиент-серверной архитектуры и сетевого взаимодействия. — Опыт автоматизации тестирования или готовность самостоятельно выстроить её с нуля. — Интерес к современным AI-инструментам и желание использовать ИИ как практический инструмент для повышения скорости и качества тестирования. — Способность смотреть на продукт целиком, а не только проверять отдельные задачи. Будет плюсом: — Опыт тестирования промышленного ПО. — Опыт с системами маркировки, сериализации и прослеживаемости. — Знание PostgreSQL, Linux. — Опыт взаимодействия ПО с принтерами, маркираторами, камерами и другим оборудованием. — Практический опыт использования LLM/AI Agents в разработке или QA. Условия: — Собственные продукты и сложные задачи на стыке разработки, интеграций и промышленной автоматизации. — Возможность напрямую влиять на качество продукта и процессы разработки. — Возможность построить QA-практику и автоматизацию, в том числе с активным использованием AI. — Работа в тесном контакте с разработчиками, аналитиками и инженерами внедрения. — Возможность влиять на технические решения и инструменты команды. — Оформление по ТК РФ, полный социальный пакет. — Белая заработная плата (фиксированный оклад) и переменная часть по итогам выполнения KPI. — График работы: 5/2. — Комфортабельный бизнес-центр (БЦ «Барклай-Плаза», м. Парк Победы/Багратионовская/Фили) с магазинами, кофейнями и фитнес-клубом. — Уютный офис с кофемашиной, снеками и свежими фруктами. — ДМС/фитнес (на выбор). — Отсутствие жёсткого дресс-кода. — Открытая и прозрачная коммуникация на всех уровнях компании. — Классные корпоративные мероприятия.

Location: Remote - Bengaluru, India MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. This is the senior product role on a small, high-leverage product team. You'll own key pieces of the product line — from how we position it, to how we price it, to how the field sells it. You'll work closely with engineering and be the person Marketing and Field teams looks to for the answer to "why us, why now”. We need a product leader who lives close to customers and to revenue, who can hold a deeply technical conversation with multiple stakeholders - from technical buyers to executive, and who treats GTM as a first-class part of the product — not something that happens after the product is "done." What You Will Do: Growth strategy for our Data Intelligence products — where we play, who we sell to, how we win, and the sequencing of bets that gets us there Partnerships — work closely with key partners to develop ground breaking products The customer and buyer motion — being in front of inference platform teams, data platform leads, and the buyers who decide. Joining strategic deals. Running the win/loss loop and feeding it back into strategy. Positioning and narrative — partnering with Marketing on how the AI stories land in market, what we publish, and how a first-time buyer encounters MinIO Field partnership — building the assets sellers actually use, supporting the deals that matter, making sure the field can run an inference-buyer or lakehouse-buyer conversation confidently Pricing and packaging — how Data Intelligence products are sold, how the AI and Analytics motions are priced differently if they should be, how we capture value as workloads grow Competitive intelligence — knowing the AI training inference competitive landscape, and shaping how we differentiate Partner GTM for AI — the AI ecosystem is partner-heavy, and unlocking it is part of the role Influence on the product — through customer signal, pipeline data, and competitive insight you will be the most informed external voice in the room to influence direction. Your Skills and Experience: 8+ years in product management, with at least 3 years on infrastructure, data, or AI/ML products sold to technical buyers Demonstrated fluency in modern AI and analytics stacks — you don't need to have trained a foundation model, but you should be conversant in how training and inference pipelines actually consume storage, key tradeoffs and why it matters, and how data platform teams make build/buy decisions A track record of working closely with field teams on real revenue — you've sat in on deals, you've built enablement that sellers actually used, you've changed a deal's outcome with a well-timed product conversation Partnership with marketing on crafting compelling narratives, presented at external conferences, webinars Strong analytical instincts — you reach for data to test your hypotheses, not to confirm them The ability to write clearly and think rigorously in writing. Most of the work that compounds in this role is written Excellent partnership with engineering — you've earned engineers' trust before by being technically credible and by making prioritization defensible Real comfort with pricing and packaging decisions  — if you've owned or co-owned them, not just commented on them, that's a big plus Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.