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Location: Saudi Arabia; Oman; Kuwait; Dubai, UAE; Amman, Jordan Workplace: remote We’re running a short video data collection project for one of our clients. We’re looking for native Arabic speakers across multiple Arabic-speaking countries and dialects to record a 15–20 second video, speaking naturally in Arabic and looking directly into the camera. The videos collected will be used to help train and evaluate an AI model that distinguishes real, human-recorded video from AI-generated (synthetic) video.   Project Details:  Start Date: ASAP  Duration: 1 session   Commitment: 1 hour.   Job Type: Freelance  Primary Location: Malaysia/Oman/Kuwait/Jordan/Türkiye/UAE/Saudi Arabia/Qatar (Remote)  Language/Dialects: Gulf Arabic Pay Rate: $4.00-$15.00 (Depending on country location) Eligibility 18 years of age or older. Native Arabic speaker (self-identified). You may be asked to complete a brief screening step to confirm your dialect before your submission is finalized. What you’ll do Record a single 15–20 second video in your native Arabic dialect . Speak naturally (no script). Suggested prompts: briefly introduce yourself, mention where you live, or talk about an interest/hobby. Look directly at the camera the whole time. After recording, answer a few short questions about yourself (e.g. age range, country, dialect) to help us organize the dataset. Recording specifications (must meet all to be accepted) Video quality: 1080p or higher Length: 15–20 seconds Framing: Head-and-shoulders, face centered and fully visible Lighting/background: Well-lit face (no harsh shadows), plain/neutral background Expression: Neutral/relaxed while speaking naturally Audio: Clear speech, no background noise, music, or echo Orientation: Portrait or landscape acceptable (hold steady, no shaky footage) Environment: Quiet indoor setting preferred Prohibited: Filters/beauty modes, sunglasses, hats/hoods, face coverings, headphones/earbuds, watermarks, stickers, borders, other people/pets in frame Your Privacy Before you begin, you’ll be asked to review and accept a consent form explaining how your video and any information you provide will be used, stored, and who it will be shared with.

Location: Amsterdam, Netherlands 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. About the team The Customer Experience team at Nebius handles thousands of requests every month — quota applications, billing operations, planned enterprise cluster upgrades, and incident notifications. Volume has grown 130% over seven months and continues to grow alongside our customer base. We are building a dedicated automation team to turn repetitive manual work into scalable, maintainable systems: LLM-powered agents, self-service flows, and infrastructure tooling. The goal is to make Customer Service capacity independent of headcount growth. The role We are looking for a technical leader to build and lead this team. You will start as an individual contributor, establishing the technical foundation, then take on management responsibilities as the team grows — without stepping away from hands-on engineering work. Your responsibilities will include: Design and build automated systems that handle thousands of support operations per month — quota requests, billing, account management, DSR Develop LLM-powered agents that help support engineers resolve complex tickets in real time Create tooling for planned cluster operations: Terraform automation, runbook execution, Soperator integration Build self-service flows that reduce load on the support team without degrading the customer experience Hire and grow a team of automation engineers Define the technical roadmap together with the Head of Customer Service Build integrations with Jira, billing APIs, and internal Nebius systems Track key metrics: automation rate, ticket deflection, engineer hours saved We expect you to have: 7+ years of software engineering experience, including 2+ years as a tech lead or engineering manager Strong Python skills and hands-on experience with REST APIs and system integrations Experience building automation pipelines or workflow systems in production Practical experience with LLM APIs and building AI agents Experience working with ticketing systems (Jira or equivalent) at the API level Fluency in English, written and spoken It will be an added bonus if you have: Experience with Terraform and infrastructure automation Knowledge of Kubernetes and cloud-native stack Experience with N8N , Temporal, or similar workflow automation tools Understanding of cloud billing, quota management, and compliance workflows Background in support engineering, DevOps, or customer success engineering Examples of outcomes you could drive: Automate quota request processing and free up the equivalent of 2,400+ engineer hours annually Build an internal Q&A agent that reduces response time on complex Chat tickets from 30 minutes to under 5 Develop cluster upgrade tooling that compresses a multi-day operation into a matter of hours — as the number of enterprise clusters keeps growing #LI-SS1 Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Amsterdam, Netherlands 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. We're looking for a proactive, highly organized Team Assistant to support one of the Managers in the Infrastructure department. In this role, you'll help ensure day-to-day operations run smoothly by providing exceptional executive support and coordinating a wide range of administrative and operational activities. You'll work closely with the Manager and the Executive Support team, handling everything from complex scheduling and travel to team events and operational coordination. Success in this role comes from being organized, detail-oriented, adaptable, and always willing to go the extra mile to get things done. What you'll do: 1. Executive Support Manage a dynamic and complex calendar across multiple time zones, balancing competing priorities and frequent scheduling changes. Coordinate domestic and international travel, including visas, accommodation, transportation, and last-minute itinerary changes. Organize meetings from end to end, ensuring all logistics and materials are in place. Manage expense reports, reimbursements, and other executive administrative processes. Coordinate administrative documentation, including NDAs and other required approvals. Act as a trusted partner to the Manager of Infrastructure, anticipating needs, removing administrative burden, and ensuring they can focus on the highest-impact work. 2. Operations & Team Support Support the planning and execution of team events, off-sites, leadership meetings, and other organizational initiatives. Coordinate vendors and external partners, including contracts, procurement, invoices, payments, and related administrative processes. Drive operational follow-ups by tracking action items and ensuring timely completion of key tasks. Continuously improve and document administrative and operational processes. Provide backup support to other Team / Executive Assistants and collaborate as part of the Executive Support team. Take ownership of ad hoc operational projects and administrative initiatives that help the organization run efficiently. What we're looking for: Experience supporting senior executives in a fast-paced, dynamic environment. Exceptional organizational skills with outstanding attention to detail and accuracy. Flexibility to adapt to changing priorities and, when needed, adjust working hours to support executive schedules. A willingness to go the extra mile to find the best solution, not just the first one. A proactive, service-oriented mindset—you anticipate needs, identify potential issues early, and take pride in delivering high-quality support. Strong communication skills, professionalism, and discretion when handling confidential information. A collaborative, positive attitude—you build strong relationships and are easy to work with across teams and with external partners. Someone who genuinely enjoys executive support as a long-term career and takes pride in enabling others to succeed. What success looks like The Head of Infrastructure can focus on strategic priorities, confident that day-to-day operations are running smoothly. Calendars, travel, meetings, expenses, and logistics are handled seamlessly, even as priorities change. Team events, leadership meetings, and operational activities are executed with exceptional attention to detail. Colleagues know they can rely on you to get things done accurately, efficiently, and with minimal follow-up. Administrative and operational processes become more efficient through your attention to detail and commitment to continuous improvement. You become a trusted and dependable partner who enjoys helping others succeed and takes pride in making their work easier. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Remote, Poland 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. An overview of this role As a Strategic Account Executive, you will own a portfolio of strategic and large customers and prospects in Poland, helping them get the most value from GitLab’s AI-powered DevSecOps platform. You’ll break into net new enterprise accounts and expand GitLab’s footprint within existing customers, using a consultative approach to understand their business needs and guide successful adoption and expansion of GitLab. You’ll work closely with pre- and post-sales teams and strategic channel partners to drive full-cycle sales, from prospecting and qualification through rollout, usage, and long-term growth, while acting as the voice of your customers by feeding their feedback and product ideas into GitLab’s public issue tracker. What you’ll do Own a portfolio of strategic and enterprise accounts, driving both net-new customer acquisition and expansion within existing customers. Lead complex sales cycles from prospecting and qualification through negotiation and close, using a consultative approach grounded in customer business needs. Develop and execute structured account plans that map customer priorities to GitLab’s DevSecOps and AI-powered platform capabilities. Collaborate closely with pre-sales, customer success, support, and strategic channel partners to ensure successful evaluations, rollouts, and long-term adoption of GitLab. Act as the voice of the customer by sharing feedback and product ideas through GitLab’s public issue tracker and with internal stakeholders. Generate and nurture qualified pipeline through targeted outreach, joint activities with channel partners, and effective use of existing relationships. Prepare and maintain accurate activity, pipeline, and forecast reports, and contribute to win/loss analysis to continuously improve sales execution. Partner with Marketing to shape and execute account-based and regional campaigns that support pipeline generation and expansion in your territory. What you’ll bring Experience owning and growing large, complex accounts, including both new business development and expansion within existing customers. Background selling into strategic or enterprise organizations, ideally within software, developer tools, or related technology environments. Ability to run a consultative sales process, from prospecting and discovery through proposal, negotiation, and closing. Demonstrated skill in account planning, forecast management, and coordinating cross-functional resources across pre-sales, post-sales, and support. Effective communicator who can translate customer needs into clear feedback for product, marketing, and technical teams. Comfortable discussing business value with senior stakeholders and aligning solutions to customer goals and challenges. Familiarity with Git, software development tools, or application lifecycle management, and ability to learn GitLab’s platform. Alignment with GitLab’s values and openness to bringing transferable experience from different industries or backgrounds. About the team You’ll join a regional Strategic Sales team that focuses on our largest and most complex customers in Central Europe. We own a defined list of strategic prospect and existing accounts and collaborate closely with Solutions Architects, Customer Success, Support, and Channel partners to drive both new customer acquisition and expansion of GitLab’s footprint. Our Strategic Sales team spend a lot of time collaborating and meeting with customers, so travel will be expected. We are focused on helping enterprise customers adopt the GitLab DevSecOps platform at scale, navigating complex buying centers, and shaping long-term partnerships that support customers’ business and technology goals. 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: 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. An overview of this role As a Senior Solutions Architect on GitLab's India team, you'll be a trusted advisor to prospects, customers, and partners across India. You'll help them understand how GitLab's AI-powered DevSecOps platform addresses technical requirements and business goals across the software development lifecycle. This role supports Commercial and Enterprise segments in India's Southern Region. Experience with Global Capability Centers (GCCs), Digital Native organizations, and startups is highly valued given the accounts you'll support. You'll partner closely with Account Executives and cross-functional teams to own technical evaluations, including proofs of value and workshops, shape solution architectures, and bring customer feedback to Product Management. You'll also occasionally support regional go-to-market partners that provide Professional Services. Your work will help customers adopt GitLab successfully, support revenue growth through solution selling, and build long-term, trusted relationships. What you’ll do Lead technical discovery, demonstrations, and validation to show how GitLab's AI-powered DevSecOps platform meets customers' technical and business needs across the software development lifecycle. Own the technical evaluation process, including solution design, proofs of concept or value, workshops, and technical contributions to tenders, audits, and value stream assessments. Collaborate with Account Executives and regional sales teams across Commercial and Enterprise segments to shape account strategies for new customer acquisition and expansion, with a focus on GCC, Digital Native, and startup accounts. Support regional go-to-market partners that provide Professional Services, helping them deliver consistent technical guidance and apply effective practices during partner-led engagements. Represent GitLab at online and in-person marketing events, including webinars, industry events, presentations, roundtables, panels, demonstration days, and hackathons. Build trusted relationships with technical practitioners and business leaders, guide GitLab-driven transformation, and help customers become GitLab advocates. Advise customers on modern software development, continuous integration and continuous deployment (CI/CD), security, and cloud practices to improve their return on investment. Share customer feedback, use cases, and competitive insights with Product Management, Engineering, Sales, and Marketing while continuing to build expertise and reusable guidance in GitLab, DevSecOps, AI, and cloud technologies. What you’ll bring Experience guiding Commercial and Enterprise customers through solution design and evaluation in technical presales, consulting, or a similar role. Experience working with India's GCCs, Digital Native organizations, and startups is highly valued. Knowledge of the end-to-end software development lifecycle, including modern DevSecOps practices and CI/CD workflows. Hands-on experience with GitLab or comparable source control, CI/CD, and collaboration platforms, with the ability to connect platform capabilities to customer use cases. Practical knowledge of cloud computing concepts and related technologies, including deployment, security, and operations options. Ability to lead proofs of concept or value, contribute to tenders or audits, and design and run workshops or value stream assessments. Clear technical communication and presentation skills, with the ability to adapt your message for practitioners and senior business and technical decision-makers. Skill in building trusted relationships, listening with empathy, advocating for customers, collaborating with go-to-market or Professional Services partners, and continuously learning new technologies. About the team The Solutions Architect team is part of GitLab's Sales organization and serves as the technical counterpart to Account Executives. This role focuses on Commercial and Enterprise opportunities across India's Southern Region and works with Account Executives, the broader go-to-market team, and regional partners that provide Professional Services. The team advises on architecture, runs technical evaluations such as proofs of value, and guides customers through digital transformation. We collaborate asynchronously with Sales, Product Management, Engineering, and Marketing to share effective practices, create reusable technical resources, and represent the voice of the customer. Our focus is helping customers modernize software delivery, adopt GitLab at scale, and navigate a changing AI and DevSecOps landscape. 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: Remote, South Korea 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. An overview of this role As a Senior Solutions Architect on GitLab's South Korea team, you'll be a trusted advisor to enterprise prospects, customers, and partners. You'll help them understand how GitLab's AI-powered DevSecOps platform addresses technical requirements and business objectives across the software development lifecycle. Experience working with Chaebol’s or other large conglomerate organizations is highly valued given the accounts you'll support. Using your technical expertise, knowledge of cloud and modern software development practices, and customer empathy, you'll guide organizations through digital transformation from planning through monitoring. You'll partner closely with our Account Executives and cross-functional teams. You'll own technical evaluations, including proofs of value and workshops, shape solution architectures, and represent the voice of the customer to product management. You'll also support GitLab's South Korea go-to-market partners, who act as our regional professional services arm, by helping enable and guide their technical delivery. Your work will drive successful platform adoption, support revenue growth through solution selling, and build long-term, trust-based relationships that show GitLab's differentiated position in an AI-driven DevSecOps landscape. What you’ll do Lead technical discovery, demonstrations, and validation to show how GitLab's AI-powered DevSecOps platform meets customers' technical and business needs across the full software development lifecycle. Own the technical evaluation process, including solution design, proofs of concept or proofs of value, workshops, and the technical components of tenders, audits, and value stream assessments. Collaborate with Account Executives and regional sales teams across South Korea to shape and execute account strategies that support new customer acquisition and expansion, with a focus on enterprise accounts. Support and enable GitLab's South Korea go-to-market partners, who operate as the region's professional services arm, to promote consistent technical delivery and best practices across partner-led engagements. Represent GitLab at online and in-person marketing events, including webinars, industry events, booth sessions, presentations, roundtables, panels, demonstration days, and hackathons. Build trusted relationships with technical practitioners and business leaders, guiding them through GitLab-supported transformation and helping them become GitLab advocates. Advise customers on modern software development, continuous integration and continuous deployment, security, and cloud practices, challenging existing approaches to improve return on investment. Serve as the voice of the customer across product management, engineering, sales, and marketing by sharing feedback, use cases, and competitive insights that inform the product roadmap and positioning. What you’ll bring Experience engaging with enterprise customers in technical presales, consulting, or similar roles and guiding them through solution design and evaluation. Proficiency across the software development lifecycle, including modern DevSecOps practices, continuous integration and continuous deployment workflows, and GitLab or comparable source control and collaboration platforms. Practical knowledge of cloud computing concepts and related technologies, with the ability to discuss deployment, security, and operations options with technical teams. Ability to lead technical evaluations such as proofs of concept or proofs of value, contribute to tenders or audits, and design and run workshops or value stream assessments. Clear technical communication, presentation, and relationship-building skills, with the ability to adapt messages for practitioners and senior business and technical decision-makers and represent customer perspectives across Product Management, Engineering, Sales, and Marketing. Motivation to continue developing professionally by learning new technologies, deepening GitLab platform expertise, and applying transferable experience from related fields. Fluency in Korean and English. About the team The Solutions Architect team is part of GitLab's Sales organization and serves as the technical counterpart to Account Executives. This role focuses on Enterprise opportunities across South Korea and works with Account Executives, the broader go-to-market team, and regional partners that provide Professional Services. The team advises on architecture, runs technical evaluations such as proofs of value, and guides customers through digital transformation. We collaborate asynchronously with Sales, Product Management, Engineering, and Marketing to share effective practices, create reusable technical resources, and represent the voice of the customer. Our focus is helping customers modernize software delivery, adopt GitLab at scale, and navigate a changing AI and DevSecOps landscape. 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: San Francisco 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 Global Capacity Manager at Baseten, you will lead the "engine room" of the company, architecting, securing, and optimizing the global GPU fleet that powers our customers' AI workloads. You’ll own the end-to-end journey of capacity management, from securing multi-million dollar GPU clusters to building the automation that ensures 99.9% uptime across multi-cloud environments. This role is a great fit for entrepreneurial engineers who want to bridge the gap between high-finance asset management and deep infrastructure engineering. You will act as the fleet orchestrator for the world's most advanced chips, ensuring Baseten never experiences a capacity outage while maintaining elite unit economics. To be clear, this is a high-stakes engineering role. You will be hands-on with Kubernetes orchestration while also leading specialized pods focused on the next generation of hardware, like NVIDIA’s Blackwell (B200) architecture. EXAMPLE INITIATIVES - The B200 Frontier: Architecting the infrastructure readiness and deployment strategy for Baseten's first Blackwell GPU clusters. Global Workload Orchestration: Building "Multi-cloud Capacity Management" systems to move customer workloads seamlessly across regions to optimize cost and latency. - Precision GPU Triage: Developing automated Go-based operators to identify, cordon, and repair unhealthy H100 nodes in under an hour. - The Supply Chain of Intelligence: Partnering with leadership to secure and reserve dedicated capacity for Baseten’s largest enterprise customers. RESPONSIBILITIES - Lead Specialized Pods: Act as the lead for specific GPU pods (e.g., H100 or B200), managing the full lifecycle of acquisition, air traffic control, and maintenance for those assets. - Advanced Orchestration: Execute complex workload migrations and "sticky" deployment drains, ensuring deployment scheduling rules meet strict regional and compliance requirements. - Build for Scalability: Design and implement the "next version" of Baseten’s capacity management system to handle a 10x increase in GPU volume. Financial Modeling: Leverage your understanding of unit economics to build ROI models for GPU spend, ensuring Baseten scales profitably. - Cross-Team Collaboration: Partner with SRE, Infra, and FDE teams to take discrete operational tasks off their plate and verify "last mile" follow-through on infrastructure changes. - Incident Response: Lead capacity-crunch response by rapidly untainting and re- coordinating workloads during high-pressure outages. REQUIREMENTS - Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or a related field - 5+ years of professional work experience in a high-growth environment, preferably at a hyperscaler (GCP, AWS, Azure) or a specialized GPU provider - Deep expertise in Kubernetes, including hands-on experience with taints, cordons, node draining, and custom operators - Demonstrated experience with Go or Python in a production-level environment Strong financial literacy and the ability to model complex trade-offs between capacity reliability and cost - High tenacity and collaborative mindset 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).

Location: Dublin, Ireland Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT US: Notion helps you build beautiful tools for your life’s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email—with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money.   In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays, Tuesdays, and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays.   ABOUT THE ROLE: Millions of people rely on Notion to do their most important work. Protecting that trust starts with protecting the people who build Notion: our employees, their laptops, their identities, and the SaaS apps they rely on every day. We are looking for a hands-on Corporate Security Engineer to own and improve the technical controls that keep our workforce and corporate environment safe. This is a security engineering role focused on building scalable controls and automation across identity, endpoints, SaaS, and workforce infrastructure, not a traditional IT support or corporate engineering role. You'll own and evolve core security controls, design systems and automation that scale with the company, and help make security both stronger and easier to use. You'll partner closely with IT, Infrastructure, GRC, and Detection & Response to improve the security foundations that employees rely on every day.   WHAT YOU'LL ACHIEVE: - Harden our identity and access management stack, including Okta and Google Workspace, with phishing-resistant MFA, strong SSO and SCIM lifecycles, and least-privilege access across SaaS. - Run our endpoint security program across a macOS-first fleet, including MDM, EDR, and configuration baselines, with working coverage for Windows and ChromeOS. - Secure AI tool usage at the endpoint, including governance of large language models, AI agents, and model context protocol (MCP) integrations; detect and prevent unauthorized or risky AI service access and data exfiltration through AI-enabled tools. - Reduce SaaS risk at scale through SSPM tooling and custom automation, including detection of risky OAuth grants, excessive permissions, shadow IT, and configuration drift. - Write code (Python, Terraform) to automate access reviews, onboarding and offboarding, configuration drift detection, and audit evidence collection. - Partner with Detection & Response to ensure corporate systems produce the telemetry needed to detect identity, endpoint, and SaaS abuse. - Support SOC 2, ISO 27001, and customer audits as a byproduct of good engineering, not a separate workstream. - Partner with Detection & Response on investigation and response for corporate security incidents, including phishing, account compromise, lost devices, and BEC.   SKILLS YOU NEED TO BRING: - Have 5+ years of hands-on experience in corporate security, enterprise security, or IT security engineering at a cloud-native company. - Have working knowledge of a major identity provider (Okta, Entra, or Google Workspace) and the underlying protocols (SAML, OIDC, OAuth 2.0, SCIM). - Have hands-on experience operating endpoint management and detection tooling across macOS and enterprise environments. - Write production-quality scripts and automation in Python or Bash, and have shipped Terraform or other infrastructure-as-code for security configuration. - Are familiar with SaaS security risks (OAuth governance, audit logging, SSPM) and the realities of integrating a long tail of vendors. - Have working knowledge of at least one major cloud platform (AWS, GCP, or Azure) at the security configuration level. - Communicate clearly in writing and work effectively across IT, Engineering, Legal, People, and GRC. NICE TO HAVES: - Experience at a fast-growing tech or AI company where the security program had to outpace headcount. - A background in IT engineering, SRE, or production engineering that transitioned into security engineering. - Experience building internal security tooling or workflows that improved employee or developer experience. - Contributions to the security community through open-source tools, blog posts, or conference talks.   We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you’re excited about a role but your past experience doesn’t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you’re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.   Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.   By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21   #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Remote, Poland 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. An overview of this role The Trusted Agentic Development team sits within GitLab's Developer Experience group and builds the platforms our engineers rely on every day. GitLab engineers increasingly build software with artificial intelligence agents. Agents can generate code and tests in seconds, but they can also produce passing test suites for software that doesn't work as intended. As a Senior Backend Engineer, Trusted Agentic Development, you'll own the technical thesis for closing that validation gap and build the early proof yourself. You'll rethink what validation means when the author is an agent and make the feedback loop fast, automatic, and trustworthy enough that teams choose to adopt it. Validation that confirms agent-generated code does what was intended, so a passing suite means a working feature and not just a satisfied proxy. Mid-loop feedback that helps an agent self-correct toward working software instead of green assertions. Language-aware approaches under one shared model of what "trusted" means, starting with Rust, Ruby, and Go, while allowing the right technique to differ by language. Real measurement of whether engineers trust and adopt the path, fed straight back into the platform. What you’ll do Own the technical thesis for how GitLab validates software when an agent is the author, and turn it into an architecture the team can build against. Prototype the hard parts by building early versions of feedback mechanisms that catch the gap between passing tests and working software, proving what works before the team scales it. Develop approaches for GitLab's primary stacks, starting with Rust, Ruby, and Go, under one shared definition of "trusted," while allowing the right technique to differ by language. Design the mid-loop feedback an agent needs to self-correct toward working software rather than green assertions, and build the systems that deliver it. Collaborate with engineering teams to adopt these approaches, measure adoption, engineer trust, and validation quality, and use those findings to improve the platform. Set technical direction the team can build on, review designs, and help teammates grow their technical judgment. Take part in on-call or operational support where your team’s ownership model requires it. What you’ll bring Deep, current, hands-on experience building real software with artificial intelligence agents, ideally across more than one language, and a clear understanding of why agent output can pass tests yet fail in production. A strong point of view on the validation gap and concrete ideas for closing it, backed by approaches you've built or tried. Experience designing distributed systems designed to run on Kubernetes first. The technical range to design systems rather than tune a single framework, and the judgment to know when a solution should be general or language-specific. You prototype to learn, and you ship. The ability to influence engineers across an organization without formal authority through working code and sound reasoning. Strong written communication in an all-remote, asynchronous environment. Alignment with GitLab's values, especially collaboration, iteration, and transparency. This isn't a quality assurance or test automation role. We aren't looking for depth in a particular testing framework. We're looking for someone who has built with agents, experienced the validation gap firsthand, and wants to solve it. About the team The Trusted Agentic Development team is part of GitLab's Developer Experience group. We build platforms and practices that help GitLab engineers validate agent-generated software with confidence. We work across engineering teams and programming languages to understand how people use agents, test new approaches in real workflows, and create a shared model of trusted agentic development that teams choose to adopt. Poland base salary range: 272,000 PLN – 408,000 PLN The base salary range for this role’s listed level is currently for residents of the EU, applicable in the specified country or countries only. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location and having regard to any applicable collective agreements. The base salary range does not include bonuses, equity, or benefits. 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: Boston, Massachusetts, United States We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Job Overview The Senior Network Engineer leads Wizards of the Coast's enterprise network — datacenters, corporate offices, studios, and AWS cloud. Our stack runs on a Juniper/Mist campus fabric, a Palo Alto Networks security edge, and cloud-native AWS connectivity. You'll set technical direction, drive complex initiatives end to end, and mentor the broader team. Your work keeps the network that connects our datacenters, offices, studios, and cloud environments secure, reliable, and ready to support the teams creating our games. Location and Work Arrangement This role is based at our Boston, Massachusetts office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays. What You'll Do Own the architecture, build, and roadmap for our Juniper/Mist campus and branch infrastructure, and lead its evolution across sites and business units. Lead the Palo Alto Networks security stack, from policy architecture to secure-by-design standards across teams. Own end-to-end AWS cloud network implementation — Virtual Private Cloud (VPC), Transit Gateway, Direct Connect/VPN, Route 53 — and hybrid connectivity, including Border Gateway Protocol (BGP), Open Shortest Path First (OSPF), and Software-Defined Wide Area Network (SD-WAN) traffic engineering at scale. Drive automation and AI adoption across network operations, from config deployment to AI-powered monitoring, observability, and root-cause analysis. Be the go-to for critical issues, and mentor less-experienced engineers through code review, troubleshooting, and skill-building. What You'll Bring At least 10 years of experience in enterprise network engineering — routing, switching, wireless — or equivalent demonstrated experience, with deep expertise in Juniper (EX/QFX/SRX, Mist) and/or Cisco (Catalyst, Nexus), plus hands-on work with intelligent ops tools like Mist/Marvis at scale. Expert-level Border Gateway Protocol (BGP), Open Shortest Path First (OSPF), Software-Defined Wide Area Network (SD-WAN), and load balancing experience, including designing and building these solutions from the ground up. Extensive Palo Alto Networks firewall experience, including policy architecture and Panorama at enterprise scale. Proven AWS production experience — Virtual Private Cloud (VPC), Transit Gateway, Direct Connect/VPN, Route 53, security groups, CloudWatch, DNS, Dynamic Host Configuration Protocol (DHCP), IP Address Management (IPAM) — with the judgment to make platform decisions independently. Hands-on use of AI tools like Mist/Marvis and coding assistants (Claude, Copilot) to power automation and network ops, plus a track record of leading cross-functional work and mentoring engineers. What Sets You Apart Active advanced certifications: Cisco Certified Internetwork Expert (CCIE), Juniper Networks Certified Internet Expert (JNCIE), AWS Advanced Networking Specialty, or AWS Solutions Architect Professional. Prisma Access / Secure Access Service Edge (SASE) deployment leadership, or Palo Alto Cloud Identity Engine (CIE) build ownership. Terraform or Ansible pipelines you've built and owned in production — not just maintained. Experience in a multi-studio, multi-business-unit (BU) entertainment or gaming environment, or another complex, highly distributed org. Who We Are We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all. Hasbro About the Company – Hasbro Wizards of the Coast Who We Are – Wizards of the Coast Equal Opportunity Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. Accommodations If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process. Notice Regarding Hasbro’s use of AI in the Recruitment Process We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements. How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review. Human oversight: Talent Matching supports — but does not replace — human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions. Greenhouse has published the results of an independent bias audit of Talent Matching. View the Greenhouse Talent Matching audit results . The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $119,600 — $179,500 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: Atlanta, GA (Hybrid) The Position CallRail is looking for a Product Manager to join our team that supports our core integrations, public API and webhooks products . This is a build role. You’ll ship net-new integrations with platforms our customers depend on — automotive and healthcare tools, scheduling systems, workflow platforms like Zapier — and you’ll deepen the ones we already have. You’ll also own the shared service and framework those integrations run on, and the developer-facing API and webhook surface that thousands of customers and partners build on top of. The other half of the job is keeping the ecosystem healthy. Integrations break in ways ad campaigns don’t, and you’ll be the person who decides what gets fixed first. That means working shoulder to shoulder with Support, Sales, and Marketing — they hear about problems before dashboards do, they know which integration is blocking a deal, and they need you to tell them what’s coming and when. This role suits a hands-on, technically fluent PM who wants to ship real integrations, cares about customer product experience, and works in an environment where AI is a daily tool rather than a talking point. What You'll Do Build and deepen integrations Ship net-new core integrations — new verticals like automotive and healthcare, scheduling and workflow platforms, and the partners our roadmap calls for next. Deepen existing integrations past MVP: fill functional gaps, expand data coverage, and make the ones customers already rely on genuinely good. Own the shared service and framework every integration inherits — data sync, authentication, error handling, and retries — and the tooling that makes the next integration cheaper to build than the last. Own the integrations UI and library: how customers discover, connect, configure, and troubleshoot what we’ve built. Own the API and webhooks Own CallRail’s public API and webhooks as a product, not a byproduct: new capabilities, versioning strategy, deprecation paths, and the developer experience around them. Drive parity between our API and webhooks so developers get consistent data and behavior regardless of how they consume it. Own API documentation, the developer dashboard, and the administration and billing experience for API access. Define and monitor the health metrics developers actually feel — latency, error rates, rate-limit behavior, webhook delivery reliability — and act on them. Prioritize and triage Own the integrations bug queue. Triage incoming issues, and make the reliability work that keeps the ecosystem healthy visible and scheduled rather than invisible and endless. Make the call on sequencing net-new work against fixes and migrations, and be able to explain that call to anyone who asks. Close the loop with Support — build the intake path that turns ticket patterns into prioritized work, and give them the answers and workarounds they need in the meantime. Keep Sales and Marketing ahead of the roadmap: what’s shipping, what’s fixed, what’s still broken, and what they can confidently sell and promote. Cross-functional Write clear, actionable epics, user stories, and acceptance criteria with real technical context and edge cases identified up front. Lead discovery with customers, developers, and internal teams to validate problems before scoping solutions. Partner with Marketing, Sales, and Customer Experience on launches, enablement, and adoption. Represent core integrations and the API in planning cycles and cross-functional initiatives. What You'll Need 3-5 years of product management experience , including meaningful time on integrations, APIs, developer tools, or platform-oriented work. Background in marketing tech, communications tools, or call tracking ecosystems. A track record of actually shipping B2B SaaS integrations end to end — not just governing a platform others built on. Strong technical fluency. You read API documentation comfortably, reason about data models and auth flows, understand webhooks and event delivery semantics, and can scope edge cases with engineers without needing a translator. Hands-on experience with public or partner APIs — REST, OAuth, versioning, rate limiting, pagination, and webhook reliability patterns. Demonstrated fluency with AI tools (Claude or similar) in your actual day-to-day product work. Comfort working directly with Support, Sales, and Marketing — turning their signal into prioritized work and keeping them informed without being asked twice. Comfort with the unglamorous half of integration work: bugs, migrations, and reliability — and the judgment to prioritize it against net-new. Ability to prioritize clearly across business goals, customer needs, and technical feasibility, and to explain your reasoning to both engineers and executives. Experience in Agile teams working closely with engineers and designers. Excellent written communication. Integration decisions live or die by how well they’re documented. Familiarity with tools we use: Jira, Confluence, Miro, Looker, Fullstory, Figma. Nice to Have Experience building or scaling a developer platform, API program, or developer portal. Experience with vertical software ecosystems — automotive, healthcare, home services, or legal. Experience with MCP, agent frameworks, or designing APIs intended for AI consumption. Working With AI at CallRail AI is core to how our product team operates, and we expect it to be core to how you operate. We use Claude across discovery, spec writing, data analysis, prototyping, and internal tooling, and we’re actively building AI capabilities into the product itself. In this role you will: Use AI daily as a working tool — clustering support tickets to find the real bug patterns, drafting and pressure-testing specs, exploring API data, and building throwaway scripts and prototypes to answer questions faster than a meeting could. Build your own leverage rather than waiting for it — writing Claude skills, agents, and internal workflows that make you and your team faster. Think about CallRail’s platform as something AI agents will consume, not just humans. MCP servers, agent-friendly API design, and tool-calling patterns are increasingly part of what a modern integrations platform is expected to offer, and you’ll help shape our point of view there. Stay genuinely current. The tooling changes every few months, and we want someone curious enough to keep up and pragmatic enough to know when a new tool actually helps. We’re looking for evidence that you’ve already changed how you work because of these tools — not just enthusiasm about them. If you do not meet all the requirements listed, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that aligns with your skills and experience. Additional Perks Healthcare (one option covered at 100% for employees), Dental & Vision Coverage Competitive HSA with company matching Paid parental leave Flexible vacation policy 401K options with company dollar-for-dollar match Employee stock options available from day one $2,000 annual educational allowance Catered lunch every Tuesday * an in-office perk MARTA transportation or office parking expenses covered Employee charitable donation company match, up to $500 annually Regular company outings and events Hybrid work options with $500 office stipend to set up your home office Designated bike storage Learn more: https://www.callrail.com/about/ You Are Welcome Here CallRail understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company's core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, and persons of all sexual orientations and gender identities and expressions. In your application, please feel free to note which pronouns you use (For example - she/her/hers, he/him/his, they/them/theirs, etc). Continuous adoption of AI technologies is essential to this role. You will be expected to leverage AI platforms to streamline operations, solve complex problems, and stay ahead of industry benchmarks. *** This position is based out of our Atlanta office. Through December 2026, employees are expected to work in the office on Tuesdays and Thursdays. Beginning in January 2027, CallRail will transition to a 3 day hybrid work model. Employees will work in the office on Mondays, Tuesdays, and Thursdays.

Location: Remote 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. An overview of this role Site Reliability Engineers keep GitLab's user-facing services and production systems running reliably at scale. They combine software engineering with operational excellence, applying sound engineering principles, automation, and continuous improvement to build, operate, and evolve our production infrastructure. This is a single application for Site Reliability Engineering opportunities across Infrastructure Platforms. Rather than asking you to choose the right team or level upfront, we evaluate your skills holistically and match you to the opportunity that best aligns with your experience and our hiring needs. We hire Site Reliability Engineers from Intermediate through Senior Staff across multiple Infrastructure Platforms teams. We don't expect every candidate to have experience with every technology in our environment. We're looking for engineers with strong technical fundamentals, a growth mindset, and the ability to learn quickly. We'll support you in becoming successful with GitLab's tools, systems, and ways of working. Please note: This position is open to candidates based in the United Kingdom only. Candidates based in the United States or Canada can apply to this posting: Site Reliability Engineer, Infrastructure Platforms — AMER (Intermediate to Senior Staff) How our SRE hiring works Because this is a single application for SRE roles across Infrastructure Platforms, our process is built to evaluate you once and match you well, rather than interviewing separately for every team. Recruiter Screen: A conversation about your background, what you're looking for, and the level and teams that fit, so we can point your process in the right direction. Core Technical: The shared assessment every SRE candidate takes, regardless of eventual team. A low-stress, collaborative discussion covering system architecture and incident review. Hiring Manager Interview: A conversation about ownership, judgment, execution, collaboration, and growth, the non-technical signals that make an SRE effective at GitLab. Peer Technical: Team-specific depth, run by SREs from the team you're most likely to join, focused on the problems that team actually works on. Skip-Level Interview: A conversation with a senior leader on values alignment, and how you'll work across teams. After your interviews, we consider your performance alongside our current hiring needs to confirm the level and team where you'll do your best work. Interview results are a major factor, and final placement also reflects our active hiring priorities at the time. We’ll calibrate your level throughout the interview process based on the scope and impact of your experience. Intermediate: You independently deliver meaningful reliability improvements within a defined area. Senior: You own complex reliability work end to end and raise the effectiveness of your team. Staff: You shape reliability across multiple teams, solving systemic problems and creating approaches others can reuse. Senior Staff: You set technical direction across a broader Infrastructure area and influence reliability strategy at organizational scale. What you'll do Keep user-facing services and production systems reliable, scalable, and efficient Build automation and tooling that reduces toil and replaces manual work with repeatable, infrastructure-as-code-driven workflows Operate and troubleshoot production systems on Kubernetes, including deployments, rollouts, and scaling Write and maintain infrastructure as code, and ship changes safely through CI/CD and GitOps Participate in on-call, triage alerts, follow and improve runbooks, and escalate appropriately Contribute to the observability stack, using metrics, logs, and SLOs to detect symptoms early rather than just outages Take part in incident response and post-incident reviews, turning learnings into changes in automation and process Document runbooks, architecture decisions, and reviews so your findings become repeatable practices Take part in on-call or operational support where your team’s ownership model requires it. What you'll bring Experience keeping production systems reliable, combining an operations mindset with real software engineering practice Experience building net-new infrastructure tooling and automation, not just configuring existing tools. For example, Terraform modules, Kubernetes operators or controllers, or production automation and services written from scratch The ability to read, debug, and reason about code. Most of our teams work in Go; some work in Ruby. You can discuss a piece of code's behavior, performance, and failure modes Experience with infrastructure as code, and with Kubernetes and its ecosystem, at a depth appropriate to your level Hands-on experience with at least one major cloud provider (GCP or AWS) Familiarity with observability practices, including metrics, logging, alerting, and SLOs or SLIs, and using data to inform operational decisions Comfort participating in on-call and incident response, with a structured approach to troubleshooting under pressure Strong written communication and the ability to operate as a manager-of-one in an async, distributed environment A track record of using automation, and increasingly AI, to reduce toil and improve how you and your team work Alignment with GitLab's values and a commitment to working in accordance with them About the team Infrastructure Platforms is responsible for the availability, reliability, performance, and scalability of GitLab’s user-facing services, most notably GitLab.com . The organization spans teams across Production Engineering , GitLab Dedicated , GitLab Delivery , and Developer Experience , covering everything from the production fleet and networking platform to observability, incident response, deployment infrastructure, tenant scale, and our single-tenant Dedicated offering. We are a globally distributed, remote-first organization that works asynchronously, favors automation over toil, and uses monitoring, metrics, and clear ownership to continuously improve the reliability of GitLab at scale. For more on how we work, see the Infrastructure Handbook Page . 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: London, United Kingdom 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 Tavily, part of Nebius, is the web access layer for AI agents. Over two million developers use us, and our customers include Fortune 500 companies running agents in production. We build and run our own index. That means we own the hard problems directly: crawl coverage at scale, freshness, cost per query, and the quality of what comes back. This role owns that infrastructure as a product. When an agent asks a question, the answer has to be relevant, fresh, fast, and affordable. Those four things pull against each other, and someone has to decide which one gives. That is you. You will set what good means for each use case we serve and the bar a change has to clear before it ships, working closely with our evaluation team, who own how we measure it. You will also shape where our index goes next: what it needs to cover, how fresh it needs to be, and what it has to be good at. The most open part of the job is what comes next. Search is being rebuilt for a consumer that is not a person. Agents do not want one result page, they want to break a problem apart, run many retrievals, and decide what to do next. That changes what search infrastructure should look like, and part of your job is to have a view on where ours should go. The hard part is deciding what good enough means. Perfect coverage, perfect freshness, and low cost cannot all be true at once, and the person in this seat is the one who has to make that call for each use case and defend it. In your first year, we expect you to set a clear quality bar for our search products that the team builds against, have a real influence on where our index goes next, and bring us a point of view on where search infrastructure is heading. This is a hands-on senior IC role with real ownership, reporting to the Director of Product. You will work day to day with our search engineering and research teams, with the evaluation team, and with customer success, who bring us quality feedback from real accounts every week. Our search engineers are deeply experienced in large-scale retrieval, and the product team is small, so you will argue your case directly with the people building it. That only works if you have built at this scale yourself. Your responsibilities will include: Set the quality bar and release criteria for search: what good means per use case, and what a change has to clear before it ships. Our evaluation team owns the measurement, and you work closely with them on what to measure and why. Own the depth, latency, and cost tradeoffs across our search products, and make them explicit and defensible. Shape the direction of our index: what it needs to cover, how fresh it needs to be, and what quality bar it has to meet. Build a point of view on where search infrastructure is going as agents, rather than people, become the main consumer, and turn that into a roadmap. Know how we compare to the alternatives customers evaluate, and drive the work that closes the gaps that matter. Work with customer success and directly with customers to understand where our results fall short in real workflows, and turn that into quality priorities. Partner with the data and vertical product owners on what our corpus needs to contain and how results should be shaped per industry. We expect you to have: 5+ years of product management experience, with a meaningful portion spent on high-scale search or ranking systems: web search, feed ranking at a large social platform, or a large ad engine. A background as an engineer, ML engineer, or researcher on a production system in one of those areas. This is a requirement rather than a preference. You will be making tradeoff calls alongside senior search engineers, and you need to have built something at that scale yourself. Direct experience shipping a search or ranking change end to end, including how it was evaluated and what happened after it shipped. A strong data foundation: you can design an experiment, read eval results critically, and tell a real quality improvement from noise. Product judgment to match the technical depth: you can decide what to build and what to leave, and defend it to both engineers and customers. Strong understanding of LLMs, AI agents, and how retrieval fits into agentic workflows. Comfort with ambiguity, moving between strategy and execution without losing the thread. The ability to influence and align cross-functional stakeholders without formal authority. It will be an added bonus if you have: Depth in information retrieval, NLP, or applied machine learning beyond what the role requires. Experience with index tiering, sharding, freshness pipelines, or cost-per-query optimisation at scale. Experience with hybrid retrieval, semantic and lexical search, re-ranking, or human evaluation programs. Experience in API-first or developer-platform businesses running both self-serve and enterprise motions. Experience in a high-growth technology company, especially post-acquisition or startup-within-a-larger-org 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.

Location: Amsterdam, Netherlands 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 Tavily, part of Nebius, is the web access layer for AI agents. Over two million developers use us, and our customers include Fortune 500 companies running agents in production. We build and run our own index. That means we own the hard problems directly: crawl coverage at scale, freshness, cost per query, and the quality of what comes back. This role owns that infrastructure as a product. When an agent asks a question, the answer has to be relevant, fresh, fast, and affordable. Those four things pull against each other, and someone has to decide which one gives. That is you. You will set what good means for each use case we serve and the bar a change has to clear before it ships, working closely with our evaluation team, who own how we measure it. You will also shape where our index goes next: what it needs to cover, how fresh it needs to be, and what it has to be good at. The most open part of the job is what comes next. Search is being rebuilt for a consumer that is not a person. Agents do not want one result page, they want to break a problem apart, run many retrievals, and decide what to do next. That changes what search infrastructure should look like, and part of your job is to have a view on where ours should go. The hard part is deciding what good enough means. Perfect coverage, perfect freshness, and low cost cannot all be true at once, and the person in this seat is the one who has to make that call for each use case and defend it. In your first year, we expect you to set a clear quality bar for our search products that the team builds against, have a real influence on where our index goes next, and bring us a point of view on where search infrastructure is heading. This is a hands-on senior IC role with real ownership, reporting to the Director of Product. You will work day to day with our search engineering and research teams, with the evaluation team, and with customer success, who bring us quality feedback from real accounts every week. Our search engineers are deeply experienced in large-scale retrieval, and the product team is small, so you will argue your case directly with the people building it. That only works if you have built at this scale yourself. Your responsibilities will include: Set the quality bar and release criteria for search: what good means per use case, and what a change has to clear before it ships. Our evaluation team owns the measurement, and you work closely with them on what to measure and why. Own the depth, latency, and cost tradeoffs across our search products, and make them explicit and defensible. Shape the direction of our index: what it needs to cover, how fresh it needs to be, and what quality bar it has to meet. Build a point of view on where search infrastructure is going as agents, rather than people, become the main consumer, and turn that into a roadmap. Know how we compare to the alternatives customers evaluate, and drive the work that closes the gaps that matter. Work with customer success and directly with customers to understand where our results fall short in real workflows, and turn that into quality priorities. Partner with the data and vertical product owners on what our corpus needs to contain and how results should be shaped per industry. We expect you to have: 5+ years of product management experience, with a meaningful portion spent on high-scale search or ranking systems: web search, feed ranking at a large social platform, or a large ad engine. A background as an engineer, ML engineer, or researcher on a production system in one of those areas. This is a requirement rather than a preference. You will be making tradeoff calls alongside senior search engineers, and you need to have built something at that scale yourself. Direct experience shipping a search or ranking change end to end, including how it was evaluated and what happened after it shipped. A strong data foundation: you can design an experiment, read eval results critically, and tell a real quality improvement from noise. Product judgment to match the technical depth: you can decide what to build and what to leave, and defend it to both engineers and customers. Strong understanding of LLMs, AI agents, and how retrieval fits into agentic workflows. Comfort with ambiguity, moving between strategy and execution without losing the thread. The ability to influence and align cross-functional stakeholders without formal authority. It will be an added bonus if you have: Depth in information retrieval, NLP, or applied machine learning beyond what the role requires. Experience with index tiering, sharding, freshness pipelines, or cost-per-query optimisation at scale. Experience with hybrid retrieval, semantic and lexical search, re-ranking, or human evaluation programs. Experience in API-first or developer-platform businesses running both self-serve and enterprise motions. Experience in a high-growth technology company, especially post-acquisition or startup-within-a-larger-org 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.

Location: Tel Aviv, Israel 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 Tavily, part of Nebius, is the web access layer for AI agents. Over two million developers use us, and our customers include Fortune 500 companies running agents in production. We build and run our own index. That means we own the hard problems directly: crawl coverage at scale, freshness, cost per query, and the quality of what comes back. This role owns that infrastructure as a product. When an agent asks a question, the answer has to be relevant, fresh, fast, and affordable. Those four things pull against each other, and someone has to decide which one gives. That is you. You will set what good means for each use case we serve and the bar a change has to clear before it ships, working closely with our evaluation team, who own how we measure it. You will also shape where our index goes next: what it needs to cover, how fresh it needs to be, and what it has to be good at. The most open part of the job is what comes next. Search is being rebuilt for a consumer that is not a person. Agents do not want one result page, they want to break a problem apart, run many retrievals, and decide what to do next. That changes what search infrastructure should look like, and part of your job is to have a view on where ours should go. The hard part is deciding what good enough means. Perfect coverage, perfect freshness, and low cost cannot all be true at once, and the person in this seat is the one who has to make that call for each use case and defend it. In your first year, we expect you to set a clear quality bar for our search products that the team builds against, have a real influence on where our index goes next, and bring us a point of view on where search infrastructure is heading. This is a hands-on senior IC role with real ownership, reporting to the Director of Product. You will work day to day with our search engineering and research teams, with the evaluation team, and with customer success, who bring us quality feedback from real accounts every week. Our search engineers are deeply experienced in large-scale retrieval, and the product team is small, so you will argue your case directly with the people building it. That only works if you have built at this scale yourself. Your responsibilities will include: Set the quality bar and release criteria for search: what good means per use case, and what a change has to clear before it ships. Our evaluation team owns the measurement, and you work closely with them on what to measure and why. Own the depth, latency, and cost tradeoffs across our search products, and make them explicit and defensible. Shape the direction of our index: what it needs to cover, how fresh it needs to be, and what quality bar it has to meet. Build a point of view on where search infrastructure is going as agents, rather than people, become the main consumer, and turn that into a roadmap. Know how we compare to the alternatives customers evaluate, and drive the work that closes the gaps that matter. Work with customer success and directly with customers to understand where our results fall short in real workflows, and turn that into quality priorities. Partner with the data and vertical product owners on what our corpus needs to contain and how results should be shaped per industry. We expect you to have: 5+ years of product management experience, with a meaningful portion spent on high-scale search or ranking systems: web search, feed ranking at a large social platform, or a large ad engine. A background as an engineer, ML engineer, or researcher on a production system in one of those areas. This is a requirement rather than a preference. You will be making tradeoff calls alongside senior search engineers, and you need to have built something at that scale yourself. Direct experience shipping a search or ranking change end to end, including how it was evaluated and what happened after it shipped. A strong data foundation: you can design an experiment, read eval results critically, and tell a real quality improvement from noise. Product judgment to match the technical depth: you can decide what to build and what to leave, and defend it to both engineers and customers. Strong understanding of LLMs, AI agents, and how retrieval fits into agentic workflows. Comfort with ambiguity, moving between strategy and execution without losing the thread. The ability to influence and align cross-functional stakeholders without formal authority. It will be an added bonus if you have: Depth in information retrieval, NLP, or applied machine learning beyond what the role requires. Experience with index tiering, sharding, freshness pipelines, or cost-per-query optimisation at scale. Experience with hybrid retrieval, semantic and lexical search, re-ranking, or human evaluation programs. Experience in API-first or developer-platform businesses running both self-serve and enterprise motions. Experience in a high-growth technology company, especially post-acquisition or startup-within-a-larger-org 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.

Location: NAMER and LatAm About the Team IT Operations at ClickHouse keeps the company's internal systems, tooling, and infrastructure running securely and efficiently — from identity and endpoint management to the platforms every team relies on to do their work. This role sits on a newly formed AI Engineering function within IT Operations, created to centralize AI Ops rather than leave it disjointed across teams. The team — a Technical Lead plus one or two AI Ops Engineers — reporting to the IT Business Systems Manager, and brings the same rigor IT Ops applies to systems and infrastructure to the design, deployment, and lifecycle management of AI solutions and the agents they power. About the Role We are looking for an AI Ops Engineer to help build and run a new AI Ops function at ClickHouse. You will work under a Technical Lead to design, build, and maintain AI-driven solutions across the business (People, Finance, Legal, and beyond) and engineering — building integrations, maintaining agents, supporting cost visibility, and helping train the org on AI best practices. This is a hands-on execution role: you will move quickly, ship real workflows, and help the team learn what works as we centralize AI Ops for the first time. Success This is a net-new function; specific goals will be set with your Technical Lead. Directionally, the team is measured on: - Measurable reduction in redundant or inefficient AI tool and model spend through right-sizing, routing, and cost visibility - A working framework for evaluating and selecting models/tools by cost, latency, accuracy, and risk, adopted across teams - Agents and AI workflows built, deployed, and maintained cross-functionally (People, Finance, Legal, Engineering, and beyond) - Improved AI fluency and literacy org-wide, measured through training participation, adoption of approved tools, and reduced shadow-AI usage - Established identity, access, audit, and lifecycle practices for AI agents that satisfy Security and GRC requirements YOU WILL Build AI-Powered Solutions - Develop and deploy solutions using LLMs, automation frameworks, and internal tooling, for both business and engineering use cases - Integrate AI into existing systems (HRIS, ATS, ERP, procurement orchestration, ticketing, CI/CD, developer tooling) and legal infrastructure like CLM or Matter Management - Build workflows such as document generation, data extraction, knowledge retrieval, and decision support across systems and knowledge bases - Use modern integration standards (e.g., MCP) to give AI models and agents direct, secure access to internal knowledge and context Support Model Evaluation - Help test and benchmark AI models against accuracy, latency, cost, and safety criteria - Support model risk assessments and due diligence alongside Security and GRC - Help implement and maintain the internal model routing solution Support Cost Visibility - Help build dashboards and reporting for AI/LLM spend across teams and tools - Implement tagging, monitoring, and alerting for cost anomalies - Identify and execute on cost-optimization opportunities (prompt efficiency, caching, model right-sizing) Maintain Agent Infrastructure - Help provision, credential, and de-provision AI agent access - Support deployment, versioning, monitoring, and retirement of agents - Maintain and patch agent infrastructure and dependencies - Help maintain audit trails and logging for agent actions Deliver Training and Enablement - Design and deliver company-wide AI training programs tailored to different audiences — non-technical business users through engineers - Create lightweight playbooks, guides, templates, and reusable components for safe, effective AI adoption - Run onboarding sessions, office hours, and workshops to build AI fluency and drive adoption of approved tools and agents - Establish a feedback loop with users to continuously improve training content, tooling, and documentation YOU BRING You are not expected to have every skill below — tell us which are your strongest. - Experience building with modern AI/ML tools and frameworks - Experience building and consuming APIs, developing data pipelines, and architecting system integrations - Working knowledge of cloud infrastructure (AWS, GCP, or Azure) and experience hosting or operating services in production - Experience comparing and evaluating AI models across providers, including trade-offs between cost, latency, and quality - Comfort working with usage and billing data to build cost visibility, forecasting, or optimization - Ability to understand both business and engineering workflows and translate them into technical solutions - Experience working with or integrating business systems as well as engineering/developer tooling - Experience creating training materials, documentation, or workshops for mixed technical/non-technical audiences - Understanding of data privacy, security, and compliance considerations - Experience implementing safeguards in AI systems, including identity and access controls for automated/non-human actors PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Hybrid - San Francisco About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role As a Software Engineering Intern for Summer 2027, you'll join a Vercel engineering team and ship production code that customers use. By the end of your internship, you'll have scoped, built, and shipped an end-to-end project, with mentorship from the engineers who own the system. This is a hybrid role based in San Francisco, in the office on Monday, Tuesday, and Friday. What you’ll do Own an end-to-end project: scope it with your manager, build it, and ship it to customers Write production code and review pull requests alongside the engineers who maintain it Debug live systems by tracing issues through the stack and fixing the root cause Post written progress updates and flag blockers as soon as they come up What you need Currently pursuing a degree in Computer Science, Engineering, or a related field, graduating in Fall 2027 or Spring 2028 Built and shipped at least one project in JavaScript or TypeScript, through coursework, a prior internship, open source, or your own work Use AI coding tools in your daily workflow, and can explain and debug every line you ship Bonus if you Have written code in Go or Rust Have contributed a merged pull request to an open-source project Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Bucharest Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? YOUR MISSION As a Principal Software Engineer, you will help define and evolve the technical strategy for cloud services that power critical automation capabilities across the UiPath platform. You will lead architecture and design across complex backend and distributed systems, often working through ambiguity, dependencies, and cross-team impact. You will help teams make the right technical tradeoffs across scalability, reliability, security, customer experience, operational excellence, and cloud cost, while setting engineering standards that support UiPath’s current and future growth. WHAT YOU'LL DO AT UIPATH - Lead the architecture and technical direction of complex backend and cloud-native services across the UiPath platform. - Design scalable, secure, reliable, and high-performing distributed systems across cloud, on-premises, and hybrid environments. - Partner with engineering leaders, architects, product managers, and cross-functional teams to shape technical solutions for high-impact product and platform areas. - Drive technical planning and roadmap input for complex services, platform capabilities, or cross-team initiatives. - Identify long-term scalability, reliability, security, performance, and cost challenges, and lead the design of sustainable solutions. - Set high standards for system design, code quality, testing, observability, automation, incident management, and engineering excellence. - Mentor and guide engineers through design reviews, technical discussions, architecture decisions, and hands-on technical feedback. WHAT YOU'LL BRING TO THE TEAM - 7+ years of software engineering experience, with strong backend and cloud development experience. - Hands-on experience with one or more modern programming languages such as C#, Java, Python, or Go. - Strong experience designing and building distributed systems, microservices, APIs, and cloud-native architectures. - Proven ability to influence technical direction and drive architecture decisions across teams. - Experience building and operating production-grade services in cloud environments such as Azure, AWS, or GCP. - Good knowledge of containers, Kubernetes, CI/CD, monitoring, logging, observability, and production operations. - Strong understanding of system design, data structures, algorithms, multithreading, asynchronous programming, and performance optimization. - Experience with relational and/or NoSQL databases, messaging systems, event-driven architectures, or high-scale data processing. - Ability to balance customer experience, reliability, security, scalability, and cloud cost when making technical decisions. - Strong technical leadership, ownership, and communication skills, with the ability to guide teams through ambiguity. - Interest in automation, AI, developer platforms, enterprise software, or large-scale cloud systems is a plus. Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.