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Location: London Office Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. As a Premium Support Engineer at Replit, you’ll be the front line for our highest-value customers — delivering fast, expert, and reliable technical support when it matters most. You’ll handle complex product issues, guide customers through critical incidents, and ensure every interaction meets the highest standard of quality and speed. Replit is at the forefront of AI-driven software development, and how we support customers is constantly evolving. You’ll play a critical role in shaping how Premium Support adapts to new products, new customer expectations, and AI-assisted workflows, operating effectively in ambiguity and driving clarity for your team. You’ll combine deep technical troubleshooting with calm, confident communication to keep builders moving — whether it’s an enterprise team deploying at scale or a top-tier developer relying on Replit to power their business. IN THIS ROLE YOU WILL: - Serve as the trusted front-line contact for large enterprise customers, guiding them on AI prompting best practices, resolving bugs, and turning feedback into a better product experience, whilst adhering to strict SLAs. - Diagnose, reproduce, and resolve complex technical issues across the Replit platform. - Escalate and track high-impact issues with Product and Engineering, ensuring timely fixes and transparent communication. - Lead customer-facing communications during outages or incidents. - Analyse recurring issues and identify process and documentation improvements to reduce time-to-resolution - Build and update internal tooling, automation, and documentation that improves team efficiency. - Partner with Engineering, Product, Sales and other internal teams to ensure Premium customers receive a consistent, high-quality experience. - Help onboard and mentor other support engineers, raising the team’s overall bar for responsiveness and quality. REQUIRED SKILLS AND EXPERIENCE: - 4+ years in technical support, developer support, or systems engineering. - Experience managing and delivering against operational SLAs for enterprise accounts - Strong hands-on debugging experience with JavaScript, Python, or similar languages, including the ability to read and reason through an unfamiliar codebase. - Working knowledge of APIs, databases, and Git-based CI/CD workflows. - Excellent written and verbal communication skills, able to convey technical concepts clearly to both technical and non-technical stakeholders. - Familiarity with support tools like Zendesk, Linear, Slack, and internal debugging utilities. - Proven ability to manage multiple high-priority issues simultaneously while maintaining accuracy and composure. - A proactive, ownership-driven mindset and genuine empathy for customers building on Replit. NICE TO HAVE: - Has used Replit in the last 3 to 6 months. - Experience working with IDEs, terminals, or other common developer tools. - Experience with AI tools (Claude, ChatGPT, etc.). - Exposure to cloud infrastructure (AWS, GCP, or similar). WHAT WE VALUE: - Problem-solving mindset: Ability to approach complex operational challenges systematically and devise effective solutions - Self-directed and autonomous: Capable of working independently while collaborating effectively with cross-functional teams - Strong communication skills: Ability to explain complex technical concepts to both technical and non-technical audiences - Continuous learning: Passion for staying current with industry best practices and new technologies - Focus on automation: Strong belief in automating repetitive tasks and building self-healing systems Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

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: U.S. (Remote) Workplace: Remote ABOUT CLIPBOARD Our mission is to uplift as many communities as possible. We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers. This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S. Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company https://www.ycombinator.com/topcompanies/ and have been profitable since 2022. We’re the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities. ABOUT THE ROLE: As a Documents Compliance Analyst, you own the compliance decisions behind whether a healthcare professional is cleared to work: background check disqualifications, credential and risk review, and how new state requirements get implemented. You set the standard the team applies, and you are the named decision-maker when a case is hard. What the law requires is a given. How we meet it is up to you, and you own that call. This is not a people management role. The work is recurring by design. The same categories of questions arrive every week, alongside state license renewals and reporting that run on a fixed calendar and never finish. Your value is in reaching the same well-reasoned decision every time and documenting your reasoning well enough that others can apply it. You'll work closely with Agents, SMEs, Team Leads, and Legal, none of whom report to you, so your credibility comes from the quality and consistency of your judgment rather than from authority. You will report to the Head of the Documents Team. WHAT YOU’LL OWN Judgment and decisions - Serve as the named escalation point for background check disqualification decisions - Make the initial call on agency compliance implementation - Handle escalations on worker credential verification, including license violations and reprimands - Decide which questions you resolve and document yourself, and which warrant partnering with Legal Written analysis - Produce risk analyses in a consistent format: the question, your research, your reasoning, your recommended path. - Evaluate new state and agency requirements before implementation, quantifying what compliance costs a worker in time, money, and completion rate, and recommending how we implement. - Build and maintain the decision record that lets other people reach the same conclusion you would Recurring compliance operations - Own the credential verification audits - Plan and drive the implementation of high-value requirements, such as continuing education - State license renewals - Ongoing state reporting REQUIREMENTS: - Bachelor’s degree. - At least 5 years of professional experience. - Prior experience in a role where you applied regulations to real decisions. Examples: - regulatory or compliance-focused paralegal - regulatory compliance specialist - legal analyst - background screening adjudicator - trust and safety or eligibility policy at a marketplace - Experience interpreting statutes, regulations, or agency guidance and turning them into operational requirements. WHAT WE’RE LOOKING FOR: - You can reach a defensible decision when documentation is incomplete or unavailable, and you're explicit about what your reasoning rests on. - You can read complex regulatory material and work out how it applies in practice to a marketplace model. - You weigh compliance risk against business impact and find the path that meets the requirement without restricting more than it demands. - You write decision memos and business cases that leadership can act on. - You build credibility with people who don't report to you. - You own recurring work with hard deadlines, such as license renewals and state reporting. - Willingness to maintain overlapping working hours with Eastern and Pacific time (ET/PT). NICE TO HAVE: - Compliance, regulatory, or licensing experience in healthcare, staffing, or another regulated industry. - Experience at a government or regulatory agency. - Experience with independent contractor or marketplace models. - Experience with background check adjudication or adverse action processes. - Experience with state licensing filings. SYSTEM REQUIREMENTS - Minimum 15Mbps wired internet connection - Minimum i5 processor or equivalent - Minimum 12GB RAM - Dedicated, quiet working environment - Reliable power source and backup internet connection Quick Note on Scammers: Clipboard would never ask you for money or your bank details to participate in our hiring process. Report any scammers impersonating the Clipboard hiring team members here https://forms.gle/SyGaxHFbon7Hg9fW6.

Location: New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As the leader of our new Hedge Funds sales team within Enterprise FSI, you will build and lead the team that brings transformational AI to the world’s leading hedge funds - multi-strategy platforms, quantitative and systematic firms, discretionary long/short equity, global macro, and credit funds. These are some of the most technically sophisticated and competitive organizations in financial services, rethinking how they generate ideas, conduct research, build and test strategies, manage risk, and run their operations - and they’re looking for a partner they trust to take frontier AI from promising experiments into production at the research, engineering, and operations levels. You’ll own a focused portfolio of top-tier funds at very different stages of AI adoption, from firms already running Claude across research and engineering to those just beginning their journey. You will lead Enterprise and Strategic Account Executives, design the coverage and territory model, and build the repeatable, hedge-fund-specific plays that turn early wins into durable, scaled adoption. The selling is technical and multi-stakeholder - platform decisions, protection of proprietary strategies and data, security and compliance rigor, and solutions built on Claude through our API, Claude for Enterprise, Claude Code, and partner cloud platforms. Lead and scale - as you’ll shape strategy and operating rhythm while staying personally engaged with founders, CIOs, CTOs, and heads of research on the pursuits that matter most. This is a rare opportunity to build a team from the ground up, not just run a number: to shape how the hedge fund industry adopts frontier AI, and to do it at a company where safety, trust, and long-term customer outcomes are central to how we sell. Key responsibilities: Define Hedge Fund go-to-market strategy and coverage design, including segmentation, territories, account prioritization, and vertical value propositions, and evolve the coverage model as the business scales Recruit, coach, and retain Enterprise & Strategic Account Executives with deep financial-services and platform-selling expertise; develop talent and create career paths that keep top performers growing Build repeatable eval, deployment, and adoption practices while partnering with Marketing, Enablement, and partner teams to scale them Engage personally with C-level executives on priority pursuits, building business cases and value narratives and navigating complex procurement, security, and legal processes through to production deployment and expansion Own the team’s revenue targets and operating rhythm, instilling pipeline-generation discipline and running forecasting, deal inspection, and account planning cadences that make performance predictable and coachable across a high-volume book of business Partner closely with Applied AI, Solutions Architecture, and Product to design solutions, prove value quickly, and represent client requirements on security, deployment, and performance to Product Orchestrate cross-functional and partner motions with Customer Success, Marketing, Partnerships, Legal, and cloud partners to deliver a seamless customer experience, and represent Anthropic with customers and at industry events as a visible, trusted leader Minimum qualifications: Experience leading enterprise sales teams that sell technical, complex products such as API-first platforms, cloud infrastructure, or data and machine learning platforms into hedge funds A track record of winning and growing enterprise customers, including building C-suite relationships, in hedge funds Experience designing go-to-market coverage for an enterprise sales team, including segmentation, territories, and account prioritization Operational rigor across both a high-volume pipeline and complex, multi-stakeholder sales cycles, balancing velocity with deal quality and forecasting accurately in fast-changing environments Credibility with technical buyers and builders — CIOs, CTOs, CDOs, Heads of Research — and experience pairing effectively with solutions architects and applied AI teams Strong coaching skills that raise team performance through deal coaching and account strategy, combined with personal effectiveness alongside executives on high-priority opportunities Familiarity with consumption- or usage-based commercial models and value-based pricing conversations A genuine interest in deploying AI responsibly and motivation to advance Anthropic’s mission of building safe, beneficial AI Preferred qualifications: Second-line management experience or demonstrated readiness to step into that scope Experience bringing generative AI or LLM-based products, or other emerging platform technologies, to hedge funds Deep familiarity with regulated-industry selling — model-risk management, regulatory and compliance-driven procurement, security review, and the governance expectations of financial institutions Experience selling with IP protection, security, and vendor risk in mind Experience leading organizations through rapid growth, re-segmentation, or significant change The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $450,000 — $700,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London, UK Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. 🚀 THE ADVENTURE AHEAD As a Technical Account Manager, you’re the trusted technical engine behind our enterprise customers' greatest learning transformations! You will embed yourself as an essential strategic partner, bridging high-level customer business goals with Docebo’s cutting-edge platform capabilities. In this role, you won't just solve problems—you'll architect long-term technical strategies, pilot innovative solutions, and ensure our customers unlock maximum value to become partners for life.   ⚡ THE DAY-TO-DAY - Architect the Future: Translate customer business and eLearning goals into long-term, scalable technical strategies using Docebo’s robust feature set. - Own the Technical Relationship: Take full technical and product ownership of your assigned enterprise accounts while collaborating closely with Account Teams on commercial growth. - Serve as the Trusted Advisor: Guide executive and technical stakeholders through platform innovations, API integrations, and AI-assisted workflows to maximize operational efficiency. - Proactively Protect Platform Health: Monitor technical performance metrics—like API usage and login trends—to catch and mitigate potential risks long before they hit platform stability. - Lead Executive Technical Reviews: Deliver high-impact performance presentations on SLAs directly to customer leadership and champion customer feedback internally to Docebo teams. - Drive Systemic Platform Improvements: Partner with Premium Advisors and internal resources to analyze support case patterns, run proof-of-concept pilot projects, and streamline overall platform health.   💪 YOUR SUPERPOWERS - Enterprise SaaS Expertise: Bring 5+ years of SaaS technical troubleshooting and 2+ years of enterprise/large account management experience. - Integration & Auth Mastery: Hold a solid foundation in back-end practices, RESTful APIs, OAuth 2.0, SAML, and front-end essentials like JavaScript, CSS, and HTML. - Data & Middleware Savvy: Possess hands-on skills in at least two key areas: iPaaS tools (e.g., Workato, Zapier), SQL queries, or data warehousing/BI tools (e.g., Snowflake, Tableau, Power BI). - Executive Translator: Master the art of taking complex, highly technical concepts and translating them into simple, high-value business conversations for executive decision-makers. - Global Flexibility & Travel: Ready to support EMEA regional time zones and comfortable traveling internationally up to 25% of the time. - Project Management Mindset: Bring proactive ownership, analytical decision-making, and experience forecasting product release impacts or advising on AI/automation integrations.   🌟 BONUS POINTS - Cloud Certified: Possess an active AWS Product Certification. - Domain Experience: Background in the e-Learning, Learning Management (LMS), or Human Capital Management (HCM) industries. - Scalability Specialist: Direct experience consulting on platform performance, high availability, uptime, and enterprise scalability. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Location: US - Remote - Connecticut Who is Tenable? Tenable® is the Exposure Management company. Over 40,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 50 percent of the Global 2000, and large government agencies. Come be part of our journey! What makes Tenable such a great place to work? Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together! Applicants must be authorized to work for any employer in the U.S. without sponsorship. We are unable to provide sponsorship for work visas of any kind at the time of hire, or at any point during employment. This includes, but is not limited to: F1-OPT, F1-CPT, H-1B, TN, J-1, etc Your Role: Lead the Portfolio Enablement & Creative team to turn technical concepts into clear, on-brand, field-ready content for the Professional Services Portfolio, including service briefs, FAQs, presentations, courseware and digital assets. The role is accountable for the narrative, creative direction and brand quality of that content, and for launching the portfolio's offerings to the field. The role carries a dual mandate: lead a small, AI-enabled creative studio, and launch the portfolio's offerings on behalf of Portfolio. That means getting GTM assets into Prime, enabling sellers, and finding new ways to market and promote the portfolio. SAMs deliver their own theatre enablement and SAM Academy is the portfolio's route to sellers, but no role currently owns or showcases the portfolio's offerings. This role fills that gap, co-delivering with technical representation from Services Architects and SMEs and in partnership with SAM Academy. Launch communications are coordinated with the Program Offering Manager & Communications Lead. The ideal candidate has led creative or editorial teams, writes well, presents credibly to senior stakeholders and the field, and works with minimal supervision. Working familiarity with security and the Tenable portfolio is needed to partner with Services Architects and SMEs, who remain accountable for technical accuracy. Organization Structure: Reports to: Senior Director, Services Portfolio Direct reports: Creative Production Developer and Creative eLearning Developer (a two-person, AI-enabled studio) Your Opportunity: Portfolio Enablement & Go-to-Market Launch Portfolio Offerings: Launch new and updated offerings on behalf of Portfolio, from positioning through to presenting to the field, including monthly Prime enablement launches and partner-facing content. A launch is only complete once the GTM assets are in Prime and sellers have been enabled to use them. Other members of the team may front a launch where it makes sense. GTM Assets & Seller Enablement: Get the GTM assets for each offering into Prime, keep them current, and enable sellers to use them, through Prime enablement sessions, Prime Weekly and content built for the field. SAM Academy Partnership: Work with SAM Academy, who are the portfolio's route to sellers, to get offerings in front of sales. SAMs currently deliver their own theatre enablement and no one owns portfolio sales enablement, so this role fills that gap, co-delivering with technical representation from Services Architects and SMEs. Launch Coordination: Work with the Program Offering Manager & Communications Lead, who manages communications across all Portfolio teams, so that launch plans, milestones, dependencies and messages are joined up. Marketing & Promotion Innovation: Look for new ways to market and promote the portfolio, testing formats, channels and AI-enabled approaches, and keep what works. Face and Voice of the Portfolio: Serve as the portfolio's presenter on Prime Weekly TV and in webinars, presenting service solution frameworks and customer training offerings, supported by the Senior Director and a Services Architect. Creative Direction & Brand: Set creative direction and Professional Services house style across One Tenable and Prime assets, and keep the Tier 1/2 brand consistent as new content is produced. Use outsourcing where it is the better option. Content Production & Editorial Technical Writing & Editorial: Make sure technical writing is covered for the portfolio. For now it is shared across the team, Services Architects and SMEs. This role sets editorial standards, coordinates the shared capability and signs off narrative and editorial quality on service briefs, FAQs, collateral and launch content. Briefs, FAQs & Collateral: Create and maintain service briefs, FAQs and sales collateral, and own the Professional Services collateral library and house assets. Storytelling, Presentations & Digital Content: Develop presentations, storytelling, webinars, and Articulate and digital content that make technical offerings easy for sellers and customers to understand. Language & Localization: Manage translation and localization of portfolio content for the global field. AI-Enabled Production: Run a governed, AI-enabled workflow in place of ad hoc production: SME source, AI draft, production by the Creative Production Developer, narrative and creative judgement applied by this role, SME validation, publish. Cross-Team Collaboration: Partner with Services Architects, SAM Academy, Education Governance, the Program Offering Manager & Communications Lead and Domain Specialists. Curricula, education standards and review gates sit with Architecture & Education and Education Governance; the Creative eLearning Developer handles SCORM and LMS publication. People Leadership & Performance Team Leadership: Lead a two-person creative studio: set priorities, coach, and unblock the team so that output is consistent and on time. Production & Adoption Metrics: Track throughput, cycle time and use of launch and enablement content, using the portfolio health dashboard, and act on what it shows. Talent Development: Foster a high-performance culture capable of adapting to rapid shifts in corporate direction, messaging and strategy, and develop the team's use of AI-enabled tools. Quality & Stakeholder Management Content Standards: Own the narrative, editorial and brand quality of all portfolio content before release. Technical accuracy is validated by SMEs and Services Architects. Stakeholder Interface: Serve as the primary point of contact for internal stakeholders (Sales, SAM Academy, Product Marketing, Theatre leadership) regarding content and launch enablement requests and timelines. Risk & Dependency Management: Identify production bottlenecks and launch dependencies early, and escalate to the Program Offering Manager & Communications Lead where they put launch dates at risk. What You'll Need: Experience Related Experience: 8+ years of related experience producing content, managing people and projects, and working across functions, ideally in a professional-services, training or technical-content environment. Creative Leadership: Hands-on creative or editorial leadership of a small team, with demonstrable work in writing, storytelling or content production. Technical writing experience is a strong advantage while that capability is shared. Launch & Sales Enablement Experience: Experience launching or enabling service or training offerings to a sales audience, and working with a sales-enablement function. A record of trying new approaches to promotion is valued. Delivery Lifecycle: Exposure to the full content delivery lifecycle: requirements, design, production, review and launch. Knowledge and Education Education: B.S. or M.S. in Communications, Instructional Design, Computer Science or a related field preferred. Technical Familiarity: Working familiarity with network security and vulnerability management, enough to partner with Services Architects and SMEs. Familiarity with Tenable products is preferred. Tools & Platforms: Experience with Articulate (Storyline or Rise), AI-assisted content tools and managing a content or collateral library. Data Fluency: Comfortable reading dashboards (e.g., Tableau) to follow portfolio health and production metrics. And Ideally: Communication: Strong written and verbal communication skills; comfortable presenting live and on camera to the field and senior stakeholders. Autonomy: Strong initiative and the ability to work remotely, both self-directed and as part of a geographically distributed team. Agility: Ability to manage multiple concurrent launches and content requests in an agile, frequently shifting environment. #LI-Hybrid #LI-MM1 This is the base pay range for this position. Compensation for the role will depend on a number of factors, including the candidate's qualifications, skills, competencies, location and experience, and may fall outside of the range shown. Employees are also eligible for variable compensation in addition to base pay (commission for sales roles, bonus for non-sales roles), depending on company and individual performance. Tenable also offers a variety of comprehensive and competitive benefits which include: medical, dental, vision, disability and life insurance; 401(k) retirement savings with company match; an employee stock purchase plan; an employee referral program; flexible spending accounts; an Employee Assistance Program (EAP); education assistance; parental leave; paid time off (PTO); company-paid holidays; health and wellness events; and community programs. US Pay Range $114,500 — $152,500 USD We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels.  If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact Recruiting@Tenable.com for further assistance. Tenable Data Consent Statement Tenable is committed to protecting the privacy and security of your personal data. Depending on your location, one or more of the following notices may apply to you: General Applicant Privacy Notice California Applicant Privacy Notice EU/EEA/UK Applicant Privacy Notice

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 an Intermediate Backend Engineer, Trusted Agentic Development, based in Poland, you'll build backend systems that help GitLab engineers trust the software they create with artificial intelligence agents. Agents can generate code and tests in seconds, but passing tests don't always mean the software works as intended. You'll contribute to validation approaches and feedback mechanisms that help agents catch that gap and self-correct while they work. This isn't a quality assurance or test automation role. We’re looking for someone who has built with agents, run into the gap between passing tests and working software, and wants to help close it. What you’ll do Own backend features from design through production rollout, making the design calls within the architecture the team agrees on. Build agentic code-review and validation workflows that check whether generated code does what was intended, not just whether its tests pass. Prototype focused validation and feedback mechanisms with your teammates, and use what you learn to improve the platform. Develop language-aware validation approaches, starting with Rust, Ruby, and Go, adapting techniques to each language while applying a shared definition of trusted software to assess whether agent-generated code delivers the intended behavior. Implement feedback that helps agents identify problems and self-correct during development. Collaborate with engineering teams to test these approaches in real workflows, measure adoption, engineer trust, and validation quality, and use those measurements to evaluate improvements. Participate in code and design reviews, explain implementation trade-offs, and seek feedback on your work. Take part in on-call or operational support where your team's ownership model requires it. What you’ll bring Hands-on experience building software with artificial intelligence agents and understanding why their output can pass tests yet fail to behave as intended, from encountering that gap yourself or building something to prevent it. Backend development experience in at least one of Rust, Ruby, Go, or Python, with openness to working across languages. Experience taking backend features from design into production, discussing implementation trade-offs, and knowing when to ask for guidance. Comfort working inside a large existing codebase, not only on greenfield projects. A practical approach to prototyping, learning from results, and turning useful ideas into working software. Clear written communication and the ability to collaborate in an all-remote, asynchronous environment. The ability to share decisions transparently and improve your work through iteration and feedback. Familiarity with containerized services; Kubernetes experience is a plus. About the team The Trusted Agentic Development team sits within GitLab's Developer Experience group and builds the platforms our engineers rely on every day. 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: zł 248,000 - zł 372,000 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: Redwood City, CA, United States WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! WHY BOX NEEDS YOU Box’s Edge (Network Platform Engineering) team powers the connectivity behind our products, including Box Zones and applications hosted across our environment. We’re evolving from a ticket-driven support model to building automated, self-serve network capabilities that application and service owners can consume reliably at scale. We’re looking for a Software Engineer III to design and build backend services and automation that turn complex network functionality into simple, safe, and repeatable workflows. In this role, you’ll deliver high-impact systems using Python and Terraform, grounded in strong networking fundamentals. You’ll partner with internal customers to transform recurring requests into robust products, improving delivery speed, reliability, and developer experience across Box. WHAT YOU'LL DO Design and implement backend services and tooling in Python that make network capabilities accessible for internal application and service owners. Build and maintain Infrastructure as Code with Terraform to provision, configure, and manage network resources reliably. Translate partner needs into automated workflows that replace manual, ticket-based processes and scale across teams. Participate in design reviews, question assumptions thoughtfully, and contribute to decisions that improve reliability, security, and usability. Integrate observability and guardrails to support safe, auditable, and measurable network changes. Collaborate with cross-functional teams (application owners, reliability, platform) to define requirements and deliver end-to-end solutions. Write tests, documentation, and runbooks to support operational excellence and maintainability. Contribute to roadmap planning and continuous improvement of network automation patterns and standards. Participate in our on-call rotation, available at all times while on-call to help respond to and triage any issues that arise. WHO YOU ARE We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. 3+ years of professional software engineering experience with a strong backend focus. Proficient in Python with a track record of building production-grade services or automation. Hands-on with Infrastructure as Code, especially Terraform, including module design, reviews, and CI/CD integration. Strong understanding of networking fundamentals (e.g., TCP/IP, routing vs. switching concepts, DNS, load balancing, security groups/firewalls). Product mindset: you distill complex systems into safe, reusable abstractions and prioritize user experience for internal customers. Systems thinker who can break down ambiguous problems, propose pragmatic designs, and measure outcomes. Collaborative communicator who seeks diverse perspectives, builds alignment, and gives and receives feedback constructively. Nice to have: Experience with cloud platforms (GCP and/or AWS), service-to-service networking, and network automation tooling. Nice to have: Familiarity with observability platforms (e.g., Infroscope or similar), testing frameworks, and secure-by-default practices. Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process. EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form . Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information , check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . Redwood City Pay Range $165,000 — $206,500 USD

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: Madrid, Spain; Barcelona, Spain; Andorra la Vella, Andorra; United Kindom, United Kingdom; Lugano, Switzerland; Milano, Italy; Warsaw, Poland; Tallinn, Estonia; Lisbon, Portugal; Zagreb, Croatia; Dublin, Ireland; Copenhagen, Denmark; Sliema, Malta Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job We are seeking a Technical Content Creator to showcase the practical power of Tether's peer-to-peer stack. This is a builder-centric role designed for an engineer or highly technical creator who bridges the gap between low-level infrastructure, cryptography, and functional application. We are not looking for a social media marketer or an on-camera influencer. We are looking for a technical storyteller who can write code, spin up peer-to-peer nodes, build functional Bare-powered applications, and record polished, clear, screen-share demos. You will turn our core stack (Pear and Bare) into an ongoing series of visual, practical "build-in-public" prototypes that prove to the world what true decentralized, peer-to-peer infrastructure looks like. Responsibilities Build Practical Demos: Independently build functional peer-to-peer applications and infrastructure setups using the Pear platform and the Bare runtime with minimal engineering hand-holding. Record Technical Demos: Record clear, engaging, and high-quality screen-share walkthroughs and video demos of your builds, highlighting how the code works, how peers discover and sync with each other, and the value the systems deliver. Translate Code to Content: Turn complex protocol updates, cryptographic primitives, and technical documentation into highly visual, digestible developer content (such as code-along videos, step-by-step guides, and interactive repositories). Collaborate with Core Devs: Work closely with our P2P protocol and product engineering teams to stay ahead of upcoming Pear and Bare features. Prototypes: Rapidly prototype application concepts — such as spinning up a peer-to-peer chat, file-sync, or data-replication demo — to show how quickly developers can launch resilient, serverless products using our ecosystem. Fuel Influencer-Led Developer Adoption: Collaborate with technical influencers, developer advocates, and content creators to amplify our ecosystem. You will provide them with turn-key technical assets, co-create code-along challenges, and arm them with the high-quality demos and prototypes needed to inspire and onboard new developers to Pear and Bare. 3 to 6+ years of experience in a technical role such as Technical Content Creation, Solutions Engineering, or Backend/Systems Development. Strong Programming Skills: Proficiency in languages used across our ecosystem (such as NodeJS, C/C++) to interact confidently with peer-to-peer networking and runtime internals. Domain Expertise: Solid understanding of peer-to-peer (P2P) networking, distributed systems, hypercore/append-only-log style data structures, and decentralized application architecture. Demo/Video Production Skills: Experience recording and editing polished technical screen-shares, terminal recordings, or video tutorials (using tools like Loom, Camtasia, Screenflow, etc.). Developer Empathy: The ability to look at a complex P2P protocol or runtime and understand exactly what kind of demo or sample project will get developers and infrastructure operators excited to start building. Self-Starter Mindset: Comfortable working autonomously in a remote, distributed environment across global time zones. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

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: Paris Workplace: Hybrid ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM New Apps is Voodoo’s zero-to-one team, building the next generation of B2C apps powered by AI and designed for mass-market audiences. From social entertainment and fitness to health and learning, we explore new opportunities to build products people love. We operate like a startup, with the resources and ambition of a leading tech company. Our team is deliberately lean, which means fewer layers, more ownership, and the freedom to experiment, build, and move fast. ROLE We’re looking for a creative, hands-on builder with a strong visual eye and a hacker mindset, able to leverage AI to create content, automate workflows, and shape the visual identity of our apps. You’ll work across video, static assets, paywalls, ASO, and UI/UX, collaborating closely with Product, Dev, and Growth to build and grow our next consumer apps. You will: - Build AI-powered workflows to automate and scale creative production. - Create video and static assets for paid acquisition, especially Meta Ads. - Contribute to our apps’ visual identity, including paywalls, onboarding, ASO, and UI elements. - Explore trends, test new tools, and turn ideas into tangible outputs fast. - Analyze creative performance (hook rate, CTR, CVR, IPM) and iterate accordingly. - Collaborate with Product, Dev, and Growth to bring ideas to life. PROFILE - Experience in a creative discipline such as video, motion design, graphic design, or digital design. - Hands-on experience with AI creative tools (Runway, Kling, Veo, Seedance, Scenario, etc.). - A builder mindset: you enjoy experimenting, automating workflows, and finding smarter ways to create. - Strong visual instincts and an understanding of what captures attention online. - Comfortable working in a fast-paced, ambiguous, zero-to-one environment. - Fluent in English and French, both written and spoken. Nice to have: experience with UI/UX, mobile apps, ASO, paywalls, creative automation, or coding. BENEFITS - Competitive salary upon experience, plus bonus - Swile Lunch voucher - Gymlib (100% covered by Voodoo) - Premium healthcare coverage SideCare, for your family, 100% covered by Voodoo - Wellness activities in our Paris office

Location: New York, NY (HQ); San Francisco, CA; Miami, FL Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role Ramp is in a critical phase of growth, and marketing is one of the biggest drivers of it. We're building out our business systems team to make sure the systems behind every campaign, list, and lead can keep up. You'll work directly with Growth Marketing, Demand Generation, Lifecycle, Events, Sales Development, and Sales to own the systems that turn marketing programs into pipeline. You'll own HubSpot and how it connects to Salesforce and the rest of our GTM stack. What You'll Do - Own top-of-funnel marketing systems: the roadmap, the architecture decisions inside them, and their operational health - Run HubSpot as a system, not just a tool: workflows, lists, forms, properties, lifecycle stages, and the permissions and naming conventions that keep it from sprawling - Run campaign operations end-to-end: program and campaign structure, campaign membership and status, event and webinar lead capture, and launch QA, so Marketing can ship quickly without creating data debt - Own workflow management in HubSpot: build, document, and audit nurture, enrollment, and suppression workflows, and retire the ones that no longer earn their place - Build and govern lists: ICP segmentation, inclusion and suppression logic, enrichment, and email validation between a Growth request and a send. Every list should be reproducible and explainable. - Own privacy and opt-out management: subscription types, consent capture, unsubscribe and opt-out handling across HubSpot, Salesforce, and sales engagement tools, and compliance with CAN-SPAM, GDPR, and CCPA in a regulated fintech environment - Design and maintain UTM tracking and attribution architecture: UTM taxonomy and governance, hidden-field capture on forms, lead source and original source logic, and how campaign touches flow into Salesforce, so the attribution reporting is something the business trusts - Build the Salesforce automation behind marketing handoffs: record-triggered flows, validation rules, fields, and permission sets - Use AI to automate the work where it holds up: enrichment, list QA, data quality checks, and request triage - Prioritize incoming requests by ROI. Decide what gets built, deferred, or declined, and show the numbers behind each call. What You'll Need - 5+ years in marketing operations, business systems, or revenue operations at a fast-paced B2B company - Deep hands-on HubSpot experience: workflows built and debugged, and list, form, and property architecture you designed rather than inherited - Hands-on campaign operations experience: you've built campaign structures and owned the lists and sends behind real programs - A working command of email privacy and consent: subscription management, opt-out handling across systems, and the regulations behind them - UTM and attribution architecture you've owned in practice: taxonomy, capture, lead source logic, and the MQL-to-SQL handoff - Salesforce Admin experience, including flows you built and debugged when they broke (certification is a plus) - A habit of framing problems rather than waiting for a spec: you take on ambiguous requests, make the decisions, and ship - You dissect a problem, drive it to completion with little supervision, and can explain the tradeoffs to any audience Nice to Have - Enrichment and routing tools such as Clay, ZoomInfo, LeanData and Chili Piper - Sales engagement and automation platforms such as Outreach and Workato - Deliverability and list hygiene at high sending volume - Paid media and ad platform integrations, including conversion tracking - Lead scoring and MQL model design - Snowflake, Looker, or similar BI and warehouse tools - Linear or similar project management software BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Dublin, Ireland Vectra® is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises. The Vectra AI Platform delivers integrated signal across public cloud, SaaS, identity, and data center networks in a single platform. Powered by patented Attack Signal Intelligence, it empowers security teams to rapidly prioritize, investigate and respond to the most advanced cyber-attacks. With 35 patents in AI-driven threat detection and the most vendor references in MITRE D3FEND, organizations worldwide rely on the Vectra AI to move at the speed and scale of hybrid attackers. For more information, visit www.vectra.ai. Staff Software Engineer – Identity Domain About Vectra AI Vectra AI is transforming cybersecurity through AI-driven threat detection and response. Our platform brings together network, identity, cloud, SaaS, and security telemetry to uncover attacker behaviour, identify risk, and help security teams investigate and respond before threats become breaches. Identity is changing rapidly. Alongside human users, organisations increasingly rely on AI agents, service accounts, workloads, applications, API tokens, and other non-human identities to access systems and act autonomously. These technologies create enormous opportunity, but also a rapidly expanding attack surface. Vectra’s Identity Domain is responsible for detecting and reducing identity-based risk across identity providers and SaaS environments, including human, machine, and non-human identities. The Opportunity We are looking for a Staff Software Engineer to provide technical leadership within Vectra AI’s Identity Domain, with particular experti se in the emerging security challenges created by AI agents, machine identities, and non-human identities (NHIs). This is a senior individual contributor role for an engineer who combines strong software engineering with deep curiosity about how customers build and operate modern identity systems. You will need to understand how AI agents are created, deployed, authenticated, permissioned, and connected to enterprise systems and translate that understanding into security capabilities that protect customers as this new attack surface evolves. The Identity team owns end-to-end delivery: from in gesting and normalising identity telemetry, through analytics and detection, to publishing detections and findings and making identity observability data available across the Vectra platform. You will lead complex engineering initiatives across that lifecycle, remain hands-on with architecture and code, and help teams make strong technical decisions while delivering reliable customer outcomes. What You’ll Do Design and deliver capabilities across the full Identity lifecycle: telemetry ingestion, normalisation, enrichment, analytics, detection, findings, and observability Build systems that help customers discover, understand, monitor, and protect human and non-human identities Help define how Vectra models AI agents, service accounts, workloads, OAuth integrations, tokens, and other machine identities Apply expertise in how customers build, deploy, authenticate, authorise, and permission AI agents and automated workloads Partner with Security Research and Product Management to turn evolving attack techniques and customer problems into durable product capabilities Correlate identity signals with network, cloud, and SaaS telemetry to reveal activity isolated controls may miss Help define and execute technical strategy for Identity products, services, data models, and engineering practices Lead design and code reviews, identify technical risks early, and maintain a high bar for reliability, security, observability, and maintainability Work across team and service boundaries, partnering with Data Platform, Cloud Platform, Data Science, SRE and others Engage with Product, field teams, and customers to understand deployment patterns, security concerns, and emerging use cases Mentor engineers, share knowledge broadly, and help develop technical leadership across the team What You’ll Bring Required Significant professional software engineering experience building and operating production systems Strong expertise in distributed systems, architecture, coding, and technical problem solving Demonstrated ability to lead complex initiatives and influence technical decisions beyond your immediate team Strong understanding of modern identity systems, including authentication, authorisation, credentials, tokens, and privileged access Expertise in AI agents, machine identities, workload identities, service accounts, non-human identities, or closely related identity-security problems Practical understanding of how organisations build, deploy, authenticate, and permission AI agents and automated systems A customer-oriented mindset and enthusiasm for understanding how technology is used in real-world environments Experience building reliable, observable cloud-based services Strong judgment when balancing engineering quality, security, technical debt, customer needs, and business priorities Demonstrated ability to mentor engineers and raise the effectiveness of teams around you Preferred Deep knowledge of Entra ID, OAuth/OIDC, SaaS identity ecosystems, workload identity, secrets, or machine-to-machine authentication Experience building security capabilities for AI agents or autonomous systems Experience with behavioural analytics, detection engineering, anomaly detection, or high-volume security telemetry Cybersecurity product experience What Success Looks Like Vectra delivers differentiated security capabilities for AI agents and non-human identities The Identity team moves efficiently from new telemetry ingestion to customer-visible detections, findings, and observability Customers gain meaningful visibility into machine identities, their privileges, behaviour, and risk Complex initiatives land predictably with a consistently high engineering bar Engineers across the team grow through effective technical leadership and mentoring Why This Role Matters The definition of identity is changing. Increasingly, the actor accessing sensitive enterprise systems may be an application, workload, automation, or AI agent acting autonomously and with significant permissions. S ecuring this world requires understanding not only whether an identity authenticated, but what it is, what it can access, how it normally behaves, and whether its actions make sense in context. As a Staff Software Engineer in the Identity Domain, you’ll help Vectra solve that problem end to end, from the data we ingest, through the detections we create, to the findings and observability our customers depend on. Vectra provides a comprehensive total rewards package that supports the financial, physical, mental and overall health of our employees and their families. Compensation includes competitive base pay, incentive pla n eligibility, and participation in the employee equity plan (stock options). Specific benefits offered var ies by location, but commonly in clude health care insurance , income protection / life insurance , access to retirement savings plans, behavioral & emotional wellness services , generous time away from work, and a comprehensive employee recognition program. Vectra is committed to creating a diverse environment and is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Location: Aarhus, Budapest, Dubai, London, Paris, Zurich Programmes offered: Final-year internship, penultimate-year internship, some permanent opportunities Programme duration: 4–6 months, starting in 2027 Locations: Aarhus, Budapest, Dubai, Geneva, London, Paris, Zurich Who qualifies: Penultimate or final-year students completing a bachelor’s, master’s or PhD degree Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across liquid asset classes and markets worldwide. Our approach to investing is scientific: we bring together data, research, technology and trading expertise to develop and run systematic strategies. Research is central to how QRT invests. Over the years, we have built a global research and execution platform spanning geographies, asset classes and trading horizons, from high to low frequency. This gives our researchers access to large and diverse datasets, sophisticated research tools and the infrastructure needed to turn research ideas into live trading strategies. Our internships are designed to give students meaningful experience of that process. You’ll join a systematic team, work on real research or trading problems and learn from experienced researchers and traders. The environment is rigorous and collaborative: ideas are tested against data, assumptions are challenged and good questions matter as much as quick answers. Your future role at QRT Throughout the recruitment process, we’ll consider your skills and interests alongside the problems our teams are working on, with the aim of finding the strongest fit. As a Quantitative Research Intern, you could contribute in one of two complementary areas within one of QRT’s systematic teams, spanning high, mid and low frequencies: Research Your focus will be on developing predictive signals from large and varied datasets. You’ll explore the data for patterns and form hypotheses about what might be driving them. From there, research is iterative: you’ll design tests, question the results, adjust your approach and test again. Working with other researchers, you’ll learn to distinguish promising signals from noise. In doing so, you’ll experience the full research process, from an initial observation to something that can be used in live trading. Trading You’ll contribute to the live deployment of QRT’s research by working directly with our systematic trading platform. You’ll monitor how signals behave in production, track performance, improve execution efficiency and help identify and manage potential risks. Working closely with senior Researchers and Traders you’ll investigate how strategies behave in production and look for ways to make them more robust and scalable. You’ll use quantitative analysis and programming to understand what is happening in live systems and determine where improvements can be made. Across both areas, how you approach a problem matter. We’re looking for interns who are curious, creative and collaborative. You should be comfortable exploring ideas, asking questions and learning as you go. Your present skillset Academic background – Pursuing an advanced degree in a quantitative field such as Data Science, Statistics, Mathematics, Physics or Engineering. Quantitative foundations – Strong analytical skills and an interest in using mathematics, statistics and computation to understand complex problems. Programming – Coding experience in at least one leading programming language, including Python, C++ or C#. Research interests – Knowledge of statistics, machine learning, NLP or AI techniques is useful but not essential. Data – Experience exploring large datasets across multiple time horizons is a plus. Problem solving – Able to work through complex problems rigorously while maintaining strong attention to detail. Independence and collaboration – Comfortable working autonomously while exchanging ideas and working closely with colleagues from different disciplines and backgrounds. Communication – Able to explain your reasoning and communicate technical ideas clearly. Languages – Fluent in English; additional languages are a plus. Interviewing Apply Online – Submit your application online. Applications are reviewed on a rolling basis by our Talent Acquisition team. We read applications carefully, so thoughtful answers that explain your interests and motivations are useful. Technical Assessment – Selected candidates will complete a coding challenge focused on core programming and problem-solving skills . Interviews – Shortlisted candidates will take part in interviews, either on-site or via Microsoft Teams. We’ll explore your quantitative and technical thinking, how you approach unfamiliar problems and how you work with others. We also encourage candidates to take part in one of our Data Challenges . These are an opportunity to work on problems relevant to quantitative research and demonstrate your analytical and technical approach. Strong performance may lead to direct follow-up from our team: Challenge data (ens.fr) QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.