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In this role, you will work on the development and continuous improvement of Sophea AI, expanding our LLM capabilities across European languages, with a particular focus on Polish. You will be deeply involved in LLM pre-training, training from scratch, fine-tuning, model evaluation, inference optimization, and production-grade ML systems.

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Senior Software Engineer, GenAI Platform About the Team Deliveroo's GenAI Platform team sits within Machine Learning Platform and builds the shared infrastructure that helps DoorDash, Wolt, and Deliveroo teams safely bring GenAI-powered products, agents, automation, and personalisation to production. Our mission is to increase the velocity of business impact from GenAI. A central pillar of that work is running frontier open-weight LLMs and VLMs (such as GLM, Qwen, Kimi, and DeepSeek) ourselves — real-time GPU serving, high-throughput batch inference, and fine-tuning on autoscaling GPUs — delivering large cost and latency wins (for example, a billion embeddings produced roughly 20× cheaper and visual models served roughly 72% cheaper). We also own core platform surfaces including the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution. About the Role You will join a small, high-leverage team building production infrastructure for Generative AI at Deliveroo and DoorDash, leading the design and architecture of our open-weights model platform spanning inference and fine-tuning: real-time GPU serving, high-throughput batch inference, and model fine-tuning. You’ll set technical direction across model serving and inference engines, fine-tuning and training pipelines, GPU autoscaling and utilization, batch pipelines, backend services, and observability, and mentor engineers as you go. This role is ideal for a senior engineer who enjoys owning ambiguous, high-impact systems and pushing the cost/performance frontier of GPU inference and fine-tuning in a fast-moving technical area where product needs, model capabilities, vendor ecosystems, and cost/performance tradeoffs are evolving quickly. You’re excited about this opportunity because you will… Lead the design of infrastructure that helps teams move GenAI ideas from prototype to production, increasing the velocity of business impact from AI across the company. Own and evolve our open-weights serving stack — real-time GPU endpoints, high-throughput batch inference, and fine-tuning (SFT/DPO/LoRA) — alongside the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution. Architect scalable, high-performance systems for model serving, batch inference, GPU autoscaling, and fine-tuning that power real customer and internal automation use cases Push the cost and latency frontier of GPU inference — turning batch jobs that took days into hours and cutting inference cost by multiples — while giving product teams a clean choice across open-weight and closed-source models with reliability, fallback, observability, and cost controls built in. Build platforms that support rapid experimentation while meeting production standards for latency, scale, monitoring, SLOs, playbooks, and operational excellence. Partner closely with — and raise the technical bar for — ML engineers, product engineers, data scientists, and platform teams across DoorDash, Wolt, and Deliveroo to turn emerging GenAI capabilities into durable platform primitives. Set technical direction for the future of the company's centralised GenAI platform — including emerging directions such as reinforcement learning (RLHF/RLVR), agent optimisation, and other post-training and agentic techniques — enabling the next generation of AI-powered products, agents, automation, and personalisation. We’re excited about you because… BSc, MSc or PhD in Computer Science or equivalent 5+ years of industry experience in software engineering Deep backend engineering fundamentals, especially in Python and distributed systems. Track record of designing and owning production services, APIs, data pipelines, or ML infrastructure at scale. Experience operating systems in production, including observability, debugging, reliability, incident response, and performance/cost optimization. Deep hands-on experience with LLM inference and/or fine-tuning of open-weight models in production — serving (latency, throughput, batching, autoscaling, GPU utilization) and/or fine-tuning (SFT/DPO/LoRA). Demonstrated technical leadership: leading design across ambiguous, fast-moving technical areas, mentoring engineers, and turning customer use cases into reusable platform capabilities Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Nice To Haves Experience with LLM inference engines and serving frameworks (e.g., vLLM, SGLang, TensorRT-LLM) in production Experience with distributed/multi-node fine-tuning and training pipelines (SFT, DPO/RLHF, LoRA), including data preparation and evaluation GPU performance work — multi-node/distributed inference, KV-cache/memory optimisation, quantisation (FP8/INT8/AWQ/GPTQ), or cold-start/throughput tuning Experience with Kubernetes, cloud infrastructure (AWS/GCP), GPUs, serverless/elastic GPU platforms (e.g., Modal), or high-throughput batch systems Experience with LLM gateways, model routing, vendor abstraction, or cost attribution Experience building developer platforms, internal platforms, or self-serve infrastructure Experience building and deploying AI agents or MCP servers in production Experience with eval systems, LLM observability, tracing, RAG, search, or vector databases Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: London Workplace: Hybrid Why loveholidays? We’re on a mission to open the world to everyone, giving our customers unlimited choice, unmatched ease and unmissable value for their next getaway. Our trailblaze together culture is what drives our success, powered by our people and the way they work. Using progressive technology, we drive cutting-edge innovation and improve how our customers discover, book and experience their holidays. You’ll have the opportunity to accelerate your growth through meaningful challenges, new experiences and the freedom to shape your own path. You’ll create impact for our future by taking ownership, contributing to shared goals and helping shape what comes next, all as part of our enhanced international community of talented, collaborative and passionate teams. The difference you’ll make You’ll sit in the Data Science team, reporting to the Head of Data Science. You’ll work closely with Product and Engineering teams to develop predictive models for pricing, recommendations, and other business domains. Together, the team will leverage data to build statistical models that improve commercial decisions. Data Science sits within our Platform function, which builds the technology and shared capabilities that power the loveholidays experience. By creating scalable products, systems and tools, Platform helps the wider organisation move faster, work more independently and deliver better outcomes for customers. Your day-to-day: - Build and improve data science products across pricing, recommendations and other business domains to improve customer experiences and commercial outcomes. - Turn ambiguous business problems into practical data science solutions, from exploration and modelling through to experimentation and evaluation. - Partner with engineers, analysts and product teams to deploy reliable models and embed recommendations into everyday decision-making. - Monitor model performance, investigate changes and continuously improve solutions as customer behaviour and business needs evolve. - Communicate findings clearly, challenge assumptions and help teams make confident, evidence-based decisions. Your skillset: - Strong experience developing and delivering practical machine learning solutions, balancing model performance, business value and long-term maintainability. - Proficiency in Python and SQL, with experience working with large, complex datasets. - A solid grounding in statistics, experimentation and machine learning, including model evaluation and causal thinking. - Experience collaborating with engineers to deploy, monitor and improve models in production. - Strong communication skills, with the ability to explain technical concepts and influence product and commercial decisions. The interview journey: - Intro with a member of our Talent Acquisition team - 30 minutes - 1st Stage: Virtual Interview with Hiring Manager - 45 minutes - 2nd Stage: Two on-site interviews - 50 minutes for a project discussion deepdive with member(s) of the Data Science team - 1 hour technical discussion around a case study with member(s) of the Data Science team - Final-stage: Virtual interview with key stakeholders - 45 minutes Perks of joining us: - Company pension contributions at 5% - Individualised training budget for you to learn on the job and level yourself up - Discounted holidays for you, your family and friends - 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum - Ability to buy and sell annual leave - Access to our electric vehicle salary sacrifice scheme - Cycle to work scheme, season ticket loan and eye care vouchers   Our commitment to inclusion At loveholidays, we focus on creating an inclusive environment where everyone can contribute, grow and succeed. We value the different perspectives, experiences and ideas each person brings, because they help us work better together, challenge our thinking and make stronger decisions. As we continue to grow and evolve, we want everyone to feel supported and able to do their best work. We’re also committed to making our hiring process accessible, so please let our Talent Acquisition team know if you need any adjustments at any stage.

Location: Paris, Remote Workplace: remote Our Security and IT team keeps the 360Learning platform secure, compliant and auditable for the 1,500 organisations that learn on it every day. As a Senior DevSecOps Engineer, your mission is to make our infrastructure secure by design, detectable by default, and provable at audit time. 360Learning runs its learning platform on Azure and Kubernetes, certified ISO 27001:2022 and SOC 2 Type II. Over the past two years the technical security workload has grown on every front: a larger and more regulated customer base sending their own scans and security assessments, a wider detection and response scope, more infrastructure to keep hardened and auditable, and a growing backlog of security engineering projects that never reach the top of the queue. We are creating this position to add real technical capacity on the infrastructure side of security, and to move part of our security posture from manual effort to automated guardrails. You will be the bridge between security and platform engineering: deep enough in infrastructure to fix things yourself, and close enough to security operations to know what to look for. “Ours is a small, senior team with a broad scope: information security, compliance, infrastructure governance and internal tooling, with dual audit accountability on ISO 27001:2022 and SOC 2 Type II. That means direct impact and no layers between you and the decision. Roughly half of this role is greenfield build work you will own end to end.” Guillaume Seigneuret, CISO and Hiring Coach. Within 1 month, you will: Complete our onboarding and learn how we work through our own platform and our Convexity culture Map our Azure and AKS environment, our detection and logging coverage, and our ISO 27001 and SOC 2 control scope with the CISO and the Security Engineer Meet the DevOps, platform engineering and IT teams you will work with daily Shadow alert triage and one customer security assessment end to end Within 3 months, you will: Be autonomous on our AKS and Azure environment and handle infrastructure related alerts end to end Have shipped at least one concrete hardening or automation improvement in production Own the infrastructure scope of vulnerability management, from triage to remediation follow up Within 6 months, you will: Have the honeypot live and producing high fidelity alerts Have measurably widened SIEM connector coverage, with documented log sources and retention Run infrastructure vulnerability remediation on a predictable cycle with SLA reporting Within 12 months, you will: Manage detection content as code, with reviewed and tested rules and documented runbooks Have largely automated audit evidence on the infrastructure scope Have eliminated long lived credentials on the critical paths, so engineering teams ship on secure defaults they did not have to think about The Skill Set: 5+ years in infrastructure, cloud or platform engineering with a strong security focus, or in security engineering with hands on infrastructure practice Production experience with Kubernetes: RBAC, network policies, admission controllers, secrets handling, workload identity, runtime security Solid cloud experience, ideally Azure. Strong AWS or Google Cloud experience with a genuine interest in converting works too Infrastructure as code: Terraform, GitOps workflows, CI/CD pipelines Scripting and automation: Python or Go, plus shell. Comfortable reading and writing code, and opening pull requests on repositories owned by other teams Log analysis and investigation: cloud audit logs, query languages, correlation across identity, network and application sources Fluent English (US/UK) / B2 level or equivalent (FR). Enthusiasm for our working environment explained here: https://bit.ly/Convexity360L What we offer: Compensation: Package includes base salary, a variable component and equity 📈 Benefits/Perks : Work From Home stipend, RTT, lunch vouchers, medical insurance, gym subscription, 1 month parental leave for the second parent. Balance: Flexible hours, full remote work possible anywhere in France 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 Interview Process: Phone Screen with our Talent Acquisition Manager Discovery Meeting with our Head of Security Live exercise with our Head of Security and our Head of Devops: investigation of an incident scenario, or review of an insecure infrastructure configuration Clarification Meeting with the Security Engineer and a DevOps engineer Culture Fit Meeting with our VP of Engineering Offer! Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

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 At GitLab, our mission is simple: to enable everyone to contribute to and co-create the software that powers our world. As a Senior Backend Engineer on Tenant Controls , you'll design, implement, and evolve backend capabilities for a global platform that millions use. You'll solve problems of high scope and complexity, influence technical and product direction, and improve system quality, reliability, and performance beyond assigned feature work. Working across product, frontend, infrastructure, data, and security, you'll make pragmatic architectural trade-offs and partner with product managers and designers to deliver value to users in a remote-first, asynchronous environment. What you’ll do Design and ship moderate to complex backend features with minimal guidance, choosing between modular-monolith code, shared components, and independently operated services. Influence team objectives, technical direction, and long-range goals, partnering with product managers and designers to shape requirements around user needs. Define backend standards for style, maintainability, testing, application programming interfaces (APIs), and operational readiness, advocating for quality, security, availability, and performance. Mentor associate and intermediate engineers, remove technical blockers, and improve delivery practices through code and design reviews. Diagnose and prevent performance and reliability issues at scale, participate in incident response, and act as a technical owner where appropriate. Experiment with and integrate agentic AI into production engineering workflows, evaluate its effectiveness, and coach others on responsible use and sound judgment. What you’ll bring Strong command of backend architecture, APIs, data systems, and performance tuning in a complex product or service environment. Proficiency in modern backend languages and a deep understanding of systems programming, with the ability to learn and adapt rather than mastery of a single language. Experience designing or evolving modular backend boundaries, bounded contexts, and migration-safe architectures. Ability to lead through influence, technical judgment, and clear asynchronous written communication, connecting product needs with technical decisions and directing your own work. Experience building or operating agentic AI systems in production, including loops, tool use, and error-handling strategies that support reliability at scale, beyond prompt engineering alone. Helpful, but not required: experience with high-throughput distributed systems, concurrency or profiling; containerized production operations (such as Kubernetes); database performance (PostgreSQL, ClickHouse, schema evolution or partitioning); large-scale modular monoliths or event-driven systems; public technical communication, open source maintenance or developer-focused software as a service (SaaS). About the team You'll join Tenant Controls within Production Engineering, where we own application-level rate limiting on GitLab.com. We build the framework that defines, counts, and observes every application rate limit and migrate existing implementations onto it. Our mission is to give GitLab.com a single way to define, configure, and observe these limits, so operators can understand them during an incident and change them without a deploy. 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. Poland base salary range: 272,000zł - 408.000zł 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 .

What you will do Build new strategic partnerships with travel companies, agency networks, airlines, OTAs, travel platforms, loyalty programs, fintech companies, travel-tech players, and other distribution channels. Build a specific partnership hypothesis for each account rather than sending a generic company presentation.

Key Responsibilities: — Act as a peer and advisor to customer CTOs and CIOs, helping them navigate complex digital transformations and operationalizing the PagerDuty Operations Cloud within their organizations. — Represent PagerDuty as a thought leader at major industry events and through digital content, white-papers, and local media. — Partner closely with Global Product and Engineering leadership in San Francisco to ensure the unique requirements of the US markets are represented in the long-term roadmap. — Provide architectural oversight and executive presence for the most complex, high-stakes enterprise opportunities across the US. — Foster a local community of DevOps and SRE leaders, sharing best practices on operational excellence, incident response, and the ethical application of AI in operations. — Stay ahead of the curve on the competitive landscape, identifying market shifts and technical trends that PagerDuty can capitalize on. Requirements: — 15+ years of experience in technical leadership, solutions architecture, or product management within the SaaS, DevOps, or Cloud infrastructure space. — Proven track record of engaging with and influencing C-level executives at Fortune 500 or equivalent global enterprises, navigating complex organizations. — Proven ability to support and influence sales cycles with a solid grasp of sales processes and customer buying journeys. — Deep domain expertise in at least three of the following: Incident Management, SRE (Site Reliability Engineering), AIOps, Cloud Native Architectures, ITSM/ITIL, or Cybersecurity Incident Response. — Exceptional public speaking and written communication skills. — Ability to travel across the US and occasionally overseas. Preferred Qualifications: — Active involvement in the tech community (mentorship, open-source contribution, or advisory/board positions). — Experience navigating the regulatory landscape for US financial services or government sectors (e.g., FedRAMP) as it relates to cloud resiliency. Conditions: — Remote work based in the USA with location restrictions on certain states and provinces. — Full-time employment. Additional Information: — PagerDuty is an equal opportunity employer. — Provides reasonable accommodations for qualified individuals with disabilities. — Uses the E-Verify employment verification program.

Creating new and improving existing AI solutions Involvement in the whole process of data-driven development from analyzing product requirements to launching the feature or system to production (with the help of MLOps specialists) and improving it based on results of monitoring and feedback.

Design, implement, test, and operate production services and APIs. Lead projects or meaningful components of projects from problem definition through deployment and iteration.

Проводить исследования на основе большого количества реальных гитарных джемов. Работать с существующими open source моделями и трансформировать их под музыкальные задачи.

Location: AU: Sydney (45 Clarence St) Workplace: Hybrid ENGINEERING MANAGER - APPLIED AI THE ROLE AND ITS IMPACT You will lead and grow the Internal AI Accelerator team as it expands from its current core to a fully formed engineering squad. You will own the strategy, delivery, and roadmap for how Xero designs and delivers agentic AI workflows that eliminate manual toil, speed up decision-making, and generate measurable productivity gains. This means working directly with business leaders across G&A, Finance, P&C, and IT functions to co-build reusable AI patterns and governance frameworks that last. You will shape how Xero thinks about AI delivery long after your tenure, building playbooks and reference architectures that other teams can pick up and run with. What your engineers build goes into production and real people rely on it. One month you are partnering with finance, the next you are embedded in IT. You set the pace, you unblock the path, and you hold your team accountable to shipping. THE TEAM AND HOW THEY CONNECT The Internal AI Accelerator team is a small, high-impact crew of engineers embedded across Xero's business units. They partner directly with product, engineering, and business teams to design and ship AI workflows in weeks, not months. The team operates with a direct line to senior stakeholders and a genuine mandate to move fast. Together, you are genuinely curious about what works and what doesn't, learning openly from every project and sharing what you discover. THE TEAM IS CURRENTLY WORKING ON The team is expanding from a proof-of-concept phase into building at scale. You will focus on growing the engineering capability across multiple workstreams. Initially, your priorities will be: - Scaling agentic AI delivery across multiple business domains (finance, HR, support, operations) - Building reusable patterns, platforms, and governance frameworks that other teams can adopt - Designing and implementing the technical architecture for enterprise AI deployments - Establishing best practices for AI safety, evaluation, and operations at scale WHERE AND HOW YOU CAN WORK This role is based in Sydney. You will work in a hybrid model with core collaboration days in the office. Xero supports flexible ways of working, and regular "boost days" bring our ANZ teams together for connection and planning. HERE ARE SOME OF THE THINGS WE ARE LOOKING FOR - You bring solid engineering credibility, ideally from shipping production software at scale, so you can make sound technical decisions and earn your team's respect without needing to code day-to-day. - Your approach to strategy is pragmatic: you can move fast without all the answers, turning vague problems into clear scope, and pivoting when the situation changes. - You will Go Bold in how you lead: giving your team ownership, pushing back on processes that slow you down, and creating space for innovation alongside delivery. - You demonstrate genuine curiosity about your people and a commitment to coaching them up. You leave your team knowing more than when they joined. - You show comfort bridging technical and non-technical worlds, translating between engineers and business stakeholders without losing nuance on either side. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: Washington We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. We’re seeking a highly organized and candidate-focused Recruiting Coordinator to support our Talent Acquisition team. You will help deliver a seamless hiring experience by coordinating interviews, onsite and travel logistics, maintaining accurate recruiting data, preparing reports, and keeping candidates and hiring teams informed throughout the process. The ideal candidate is proactive, detail-oriented, and comfortable managing multiple priorities in a fast-paced, global environment. This temporary assignment is expected to last approximately six months with the opportunity to extend up to one year. Location & Work Arrangement: This is a remote position open to candidates who reside and work in Washington State. What You'll Do Coordinate virtual and onsite interviews across multiple time zones, including calendars, meeting links, conference rooms, interview materials, and schedule changes. Serve as a welcoming and responsive point of contact for candidates, recruiters, hiring managers, and interviewers. Support onsite interview logistics, including candidate travel, itineraries, accommodations, and expense-reimbursement coordination. Maintain accurate candidate, interview, and job information in Greenhouse and ensure recruiting activities are documented consistently. Prepare and distribute the weekly interview-scheduling report, identify delays or scheduling risks, and follow up on outstanding actions. Manage the employee referral-bonus report and tracker, partnering with recruiters and Talent Acquisition Operations to validate eligibility and prepare approved referrals for processing. Support interview-plan readiness, debrief scheduling, candidate communications, and other recruiting-process activities. Track recruiting activities, service levels, and process issues to help the team identify opportunities for continuous improvement. Handle candidate and employee information with professionalism, discretion, and confidentiality. What You'll Bring 2+ years of experience in recruiting coordination, human resources, operations, or administrative support. Experience coordinating complex schedules across multiple stakeholders and time zones. Strong organizational skills and the ability to manage competing priorities with accuracy and follow-through. Excellent written and verbal communication skills, with a thoughtful and candidate-focused approach. Proficiency with Microsoft Outlook, Teams, Excel, and Word, along with experience using applicant tracking systems; Greenhouse experience is preferred. Comfort working with reports, spreadsheets, and detailed data. Strong judgment, problem-solving skills, and commitment to confidentiality. A collaborative, adaptable mindset and interest in improving how work gets done. Employment Details: Please note that this is a temporary assignment through an external staffing agency. If you are selected for this assignment, you will be employed by Workwell as a W2 employee and will not be an employee of Wizards or Hasbro. Employment Type: Temporary Location: Remote - Washington State Duration: 6 months with opportunity to extend up to one year In compliance with local law, we are disclosing the hourly pay range and benefits available for this role. Hourly Pay Range: $25.00 - $33.00 Benefits: Workwell offers temporary workers in the United States medical, dental, and vision coverage, as well as paid time off, holiday pay, a health savings account, an employee assistance program, a 401(k) retirement plan, and paid sick leave. Paid sick leave may vary by location. We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion and where every employee is empowered to think boldly, act with integrity, and spark joy for all. Hasbro About the Company – Hasbro Wizards of the Coast Who We Are | Wizards of the Coast We are committed to building an inclusive, welcoming workplace where everyone belongs. Hasbro is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, veteran, or any other legally protected status. If you have a disability and need reasonable accommodation during the application and hiring process, including support for the interview, please email your recruiter anytime throughout the process. Please note that benefits listed below are for full time employees only, please refer to the benefits listed above for Contingent Workers payrolled through Workwell. Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: New York City, NY; San Francisco, CA; Seattle, WA 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 At Anthropic, we're building AI systems that are safe, beneficial, and transformative. Our mission is to develop AI that benefits humanity, and we believe the most powerful capabilities emerge when we thoughtfully bridge the gap between research breakthroughs and real-world applications. Claude is getting good at research. Given a well-posed problem, it can read the literature, write and run simulations, analyze results, and iterate on a design across physics, materials, chemistry, and engineering. But most of the hardest problems in science and engineering aren't well-posed. They live inside companies and labs with their own data, tools, constraints, and experts, and progress depends on turning all of that into work a model can actually do and check. Our Applied AI, Science & Engineering team takes Claude to the scientists and engineers working on hard problems in energy, materials, hardware design, and other physical-world fields. We build the tools  Claude needs to do real research and engineering work. Mostly that means software: the agent harnesses, integrations, evaluations, and working processes that turn a partner's problem into something Claude can make progress on and validate. We find real-world problems and test what we build through partner engagements, then feed our learnings back to our research and product teams. It's early, and the engineers who join now will shape how Claude gets applied to science and engineering. This is an engineering role first. You'll spend real time with domain experts, become the person who knows how to get Claude working in their field, and prototype quickly alongside them. Most of your time, though, goes into building and hardening the systems that make that work repeatable, not into writing recommendations or configuring someone else's product. A science or engineering background is a big plus, but what matters most is that you can earn the trust of expert researchers, turn a fuzzy problem into something concrete and checkable, and ship. Responsibilities Build the agent harnesses and research loops that let Claude carry a problem from literature review through hypothesis generation, simulation, analysis, and design iteration Connect scientific computing and simulation tools (finite element, CFD, electromagnetic, or molecular modeling codes, for example) so Claude can drive them reliably and at scale Design and build evaluations that tell us whether Claude's work is actually right, and be honest about where it isn't Sit with scientists and engineers at partner organizations to learn their problem, data, tools, and constraints, and turn open-ended questions into well-specified, verifiable tasks with clear success criteria Prototype with partners, ship pilots into their workflows, and cut anything that doesn't move the problem forward Turn what works in one engagement into shared tools, reusable components, and documented processes the next one can start from Be the technical voice on how Claude performs on science and engineering work, explaining results, limits, and tradeoffs clearly to researchers, engineering leads, and non-technical stakeholders alike Partner with our research and product teams to share where models fall short on science and engineering work, and help shape what comes next You may be a good fit if you Have 8+ years of experience building software, with strong engineering fundamentals and comfort across the stack, from data pipelines to tooling to quick interfaces Have built real systems with large language models, including agents, tool use, or evaluations Have worked on technical problems in a science or engineering field, such as physics, materials, chemistry, or electrical or mechanical engineering Have a track record of zero-to-one work in startup or startup-like environments\ Can work directly with expert users, understand their workflows deeply, and still keep the focus on building the right system rather than the one first requested Have good judgment about what can and can't be verified, and are comfortable saying a result isn't good enough yet Bring high agency, pick up new domains quickly, and hold strong opinions loosely Communicate clearly with researchers, engineers, and external partners, and care about the societal impacts of your work Strong candidates may also have An advanced degree or research experience in a physical science or engineering field Hands-on experience with scientific computing and simulation, numerical methods, or optimization Experience in industrial R&D, a national lab, or a deep-tech company in areas like energy, materials, manufacturing, or hardware Experience building alongside customers or technical partners, for example in forward-deployed, applied AI, or solutions engineering roles, ideally where you also owned the software that came out of it Experience with ML research, RL environments, or evaluation design Candidates need not have 100% of the skills listed above Formal certifications or education credentials Expertise in every scientific domain we work in Direct machine learning or AI research experience Deadline to apply: None. Applications will be reviewed on a rolling basis. 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: $405,000 — $485,000 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. 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: India; Singapore Workplace: Remote About the Role We’re looking for a Partner Sales Director for the Indian and ASEAN market. This is a high-energy, relationship-driven professional who can accelerate revenue by driving partner-sourced and partner-influenced sales across the region. This is a quota-carrying role responsible for working hand-in-hand with our field sales teams and strategic partners, including hyperscalers, system integrators (SIs), channel partners, and ISV/OEM partners, to identify, influence, and close new opportunities. You’ll also play a key role in expanding and deepening our partnerships (especially regional SIs), helping source new opportunities, develop joint solutions, and ensure successful project delivery. The ideal candidate is a self-starter with strong sales instincts, partnership acumen, and executive presence. We are looking for someone who can think strategically while executing rigorously to deliver incremental revenue and pipeline growth. WHAT YOU’LL DO - Own and deliver against a regional revenue quota for partner-sourced and partner-influenced bookings. - Collaborate closely with the India & ASEAN field sales teams to integrate partners into key account strategies and deal cycles. - Build and execute strong joint sales motions with hyperscalers, SIs, ISVs, OEMs, and channel partners to expand ClickHouse’s reach and accelerate pipeline. - Serve as the primary partner sales interface for India and ASEAN, ensuring alignment between regional sellers, partners’ field teams, and global partner programs. - Develop and execute joint account plans, campaigns, and demand-generation activities with priority partners. - Drive joint forecasting, pipeline visibility, and reporting to ensure partner contributions are tracked and recognized. - Identify, onboard, and develop strategic system integrator (SI) partnerships that can both source new opportunities and deliver successful implementations. - Define joint GTM plays, delivery frameworks, and enablement paths to ensure scalable, repeatable customer success. - Collaborate with internal and external stakeholders to drive SI delivery readiness and certification. - Work closely with the global and regional Partner, Sales, and Marketing teams to ensure alignment of partner strategy, programs, and field execution. - Collaborate with Product and Solutions Engineering to support partner-led projects, and proof-of-concepts. - Serve as the voice of the ASEAN/India partner ecosystem, providing feedback and insights to shape ClickHouse’s broader partner strategy. - Maintain accurate partner pipeline data, revenue forecasts, and performance metrics. - Lead quarterly business reviews (QBRs) with key partners and internal stakeholders. - Continuously refine partner engagement models based on data-driven insights and field feedback. WHO YOU ARE - Experienced Sales & Partnerships Professional: 10+ years in enterprise software sales, channel sales, or strategic alliances; ideally in cloud, data, or analytics space. - Quota-Carrying Performer: Demonstrated success meeting or exceeding sales and revenue targets through partner ecosystems. - Partner-Savvy: Deep understanding of hyperscaler (AWS, GCP, Azure), SI, and channel partner models — including co-sell, marketplace, and resale motions. - Strategic + Tactical Operator: Can develop GTM strategy and also roll up sleeves to drive execution with field and partner teams. - Strong Communicator & Influencer: Excellent verbal, written, and presentation skills; comfortable engaging both internally and externally at executive levels. - Relationship Builder: Skilled at navigating complex partner organizations, aligning incentives, and building long-term, trust-based relationships. - Self-Starter with Grit: Operates autonomously, thrives in high-growth environments, and drives outcomes without heavy structure. - Collaborative Team Player: Works seamlessly across sales, marketing, product, and partner functions; coachable and open to feedback. #LI-CL1   PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: San Francisco, CA | 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 Anthropic's legal team operates at the frontier of some of the most consequential legal and regulatory questions of our time — from landmark copyright matters to first-of-their-kind AI regulatory frameworks emerging across dozens of jurisdictions simultaneously. As we scale, the volume and complexity of our discovery and information governance obligations are growing rapidly. We are looking for a Discovery Technical Operations Specialist to join our Litigation and Regulatory team and help build out Anthropic's discovery operations from the ground up, support active matters, and help drive information governance maturation. This is a unique opportunity to be a part of a critical function at one of the most closely watched companies in the world. You will work hand-in-hand with our discovery leads, litigation and regulatory counsel, outside counsel, discovery vendors, and cross-functional partners such as Security and IT to manage retention, preservation, collection, and production of electronically stored information (ESI) across active matters. Beyond matter-level support and programmatic development of discovery systems and processes, you will also help execute the development of Anthropic's broader information governance program, including data classification standards and defensible disposal practices that keep pace with a rapidly scaling AI company's evolving data landscape. The right person for this role will be equal parts technical operator and operational project manager. Key responsibilities Build and operate discovery operations across the full EDRM lifecycle (preservation, collection, processing, hosting, review, and production including for novel and AI-specific data types) Support the operational design and execution of the legal hold program including custodian identification workflows, hold issuance and tracking, periodic re-notification, custodian acknowledgments, and defensible release Support and improve the discovery technology stack including RelativityOne, in-place preservation and collection tooling across Slack, Google Workspace, and internal systems, and supporting analytics and review platforms including configuration, access controls, templates, and reusable workspaces Partner with discovery team, in-house counsel, outside counsel, vendors, and internal technical teams; coordinate matter execution, status, and escalations Partner with Security, IT, and product engineering to support Anthropic's data landscape, instrument new data sources for hold and collection, and ensure each ESI source has a governed retention, hold, and disposition path Improve and support the operational layer of Anthropic's information governance program: retention schedule execution, classification rollout, defensible disposition workflows, and data-inventory maintenance in close partnership with the Discovery Lead and information governance stakeholders Integrate AI and automation into the EDRM lifecycle: generative-AI-assisted review, advanced analytics, custom Relativity applications, and agentic workflow automation for intake, hold tracking, status reporting, and internal documentation Support active litigation, government investigations, and regulatory inquiries as the operational counterpart on the matter team coordinating workstreams, managing vendor execution, and surfacing operational risk and cost trade-offs to counsel Design and build internal tools to streamline and manage critical discovery workflows (legal holds, preservation, collection, ECA, and production), and develop dashboards that report on data management trends and cross-matter discovery status Minimum qualifications Hands-on discovery experience across the full EDRM lifecycle, with demonstrated ownership of operations on complex matters in an in-house legal department, government agency, law firm, or vendor A track record of supporting complex discovery operations functions Working knowledge of major discovery platforms (Anthropic uses RelativityOne), including administration, search and analytics, AI/TAR workflows, custom application development, and AI workflows Strong understanding of the Federal Rules on discovery and evidence, ESI preservation obligations, and proportionality, with the operational fluency to translate those obligations into workflows Experience operating discovery across modern enterprise data sources Slack, Google Workspace, mobile, and engineering systems and an understanding of how to bring novel data sources under preservation and collection Strong project management instincts and a track record of running multiple concurrent matters and programs under tight deadlines, with composure and precision Demonstrated ability to communicate technical discovery and operational concepts clearly to attorneys, executives, engineers, and non-technical stakeholders Preferred qualifications 6+ years of hands-on discovery experience across the full EDRM lifecycle Experience standing up discovery operations at a young and/or fast-scaling company, particularly in the context of new kinds of ESI Experience embedding with engineering or product teams to define discovery and information governance requirements, prioritize roadmap, and ship hold-capable and collection-capable features into core enterprise tools Hands-on integration of generative AI and agentic workflows (e.g., Claude, Claude Code, or similar) into operational discovery work project tracking, status reporting, internal documentation, custom tooling, and script maintenance Technical fluency working with engineering teams and modern infrastructure APIs, cloud (AWS, GCP), data pipelines, and version control and comfort writing, reading, or maintaining small scripts where useful Experience operating information governance programs at scale including retention scheduling, data classification, defensible disposition, and data mapping across heterogeneous enterprise data sources Experience with applying AI and automation to discovery operations, including generative AI for review, agentic automation, and operational tooling for hold tracking, reporting, and documentation A collaborative, hands-on orientation, with integrity and genuine curiosity about building operational programs in a fast-moving environment 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: $170,000 — $220,000 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. 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: Хабаровск Мы команда, занимающаяся поддержкой и развитием ИТ-инфраструктуры. Наш продукт - это системное программное обеспечение промежуточного слоя, на котором работают все сервисы и услуги Банка. Обязанности * сопровождение и развитие самой большой и передовой ИТ-инфраструктуры на базе решений от ведущих вендоров и open source – Platform V Corax, Platform V SOWA, Apache Kafka, IBM MQ, Nginx * поддержка CDC решений (SIDEC, debezium, kafka connect) * поддержка и развитие инструментов автоматизации и мониторинга сопровождаемого системного ПО. Требования * высшее образование в ИТ направлении * опыт работы в сопровождении (1, 2 или 3 линия) или команде внедрений ПО * представление как устроены интеграционные платформы – IBM MQ, Apache Kafka и т.д. * представление как устроены средства мониторинга Zabbix, Grafana * готовность погружаться в технические детали, изучать новые технологии, не бояться задавать вопросы * опыт разработки скриптов развертывания и/или администрирования * опыт использования GigaChat и аналогов, навыки создания и использования AI-агентов. Условия * комфортный офис по адресу г. Хабаровск ул. Краснореченская, 111В * график работы 5/2 с 6:00 до 15:00 * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * уникальную систему обучения Сбера для профессионального и карьерного развития * расширенный ДМС и льготное страхование для семьи * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: San Francisco, CA PlanetScale is growing rapidly and reinventing the database space. Our database platform offers developers the fastest and most reliable Postgres and Vitess/MySQL databases, enabling businesses to efficiently handle data and workloads of all sizes. PlanetScale is backed by over $100M in venture financing from top-tier investors, including a16z, Kleiner Perkins, SignalFire, and Insight Venture Partners. We serve some of the most innovative companies in the world, including Block, Anysphere (Cursor), MyFitnessPal, Etsy, Kick, and thousands more. Our customers entrust us with what is often their most precious digital asset: their data. We’re looking for a Senior Product and Commercial Counsel to help us build, sell, and scale responsibly. You’ll own important commercial negotiations, advise on product and privacy matters, and work directly with leadership on decisions that shape our business. These attributes best describe you You combine strong legal judgment with business understanding. You distinguish material risks from theoretical ones and find workable paths forward. You lead with empathy. You listen carefully, understand other people’s goals and pressures, and build trust with colleagues and counterparties. You communicate clearly. You explain complex issues in plain language and tailor your advice to the audience. Your colleagues know what you recommend and why. You enjoy ownership. You’re comfortable making decisions, moving work forward independently, and recognizing when to seek input. You’re curious about technology. You want to understand how our products work and are comfortable asking engineers questions, tracing data flows, and learning unfamiliar concepts. You thrive in a small team. You’re equally willing to negotiate a complex agreement, help a colleague work through a question, or improve a process. What you will need A J.D. and active membership in at least one U.S. state bar, with eligibility to practice in your work location. At least 7 years of relevant legal experience, including substantial experience negotiating technology transactions. Experience advising technology businesses on customer and vendor agreements, privacy, and data protection. Strong drafting and negotiation skills, with the ability to translate technical and commercial details into clear contractual terms. Excellent interpersonal skills and a demonstrated ability to build productive relationships across functions. The judgment and organizational skills to manage multiple matters independently in a fast-moving environment. What else will help you be successful In-house experience at a SaaS, cloud infrastructure, or other technology company. Experience advising Sales, Marketing, Engineering, and Security teams. Familiarity with AI, open source software, intellectual property licensing, or international data protection requirements. Experience supporting enterprise customers, strategic partnerships, or new business models. Why PlanetScale At PlanetScale, legal work is closely connected to the technology we build and the businesses we serve. You’ll work with people who care deeply about their craft, tackle substantive questions, and see the impact of your advice. We value small teams, strong judgment, and individual ownership. You’ll have direct access to leadership and the opportunity to shape both business decisions and the way our legal team operates. As the company grows, there is room to deepen your expertise, expand your scope, and build programs you can call your own. Our mission is to build a diverse, equitable, and inclusive company where people feel respected and valued, whether they are a candidate or an employee. We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, citizenship, socioeconomic status, disability, pregnancy status, and veteran status. If you have a disability, please let us know how we can make the interview process better for you. We’re happy to accommodate. Total Compensation and Pay Transparency Total compensation consists of base salary, benefits, and equity. Our Talent Acquisition team will be happy to discuss the details during the interview process. Base salary range: $180,000 - $250,000 USD

Location: Portland, Oregon Workplace: Remote Who We Are X-LAB is the in-house performance bicycle line by XDS, which has quietly become the world’s largest and most vertically integrated bicycle manufacturer and the largest maker of carbon fiber frames, supplying many of the top brands in cycling and mobility. Today, XDS is quiet no more. XDS launched X-LAB in April 2026 as the global consumer brand to take the industry by storm. Three decades of experience building exceptional bicycles have culminated into a unique line of road, gravel, electric, city, hybrid, and soon mountain bikes that riders and shops can’t stop talking about. X-LAB is the new inflection point for the category. We launched in April 2026 with a full lineup across road, gravel, city, fitness, e-bike, and soon mountain categories, with validation from the highest and most demanding levels of the sport through the XDS Astana Team and a rapidly growing network of dealers. Our ambition is not simply to sell more bikes. It is to make great bikes more integrated, more accessible, and better supported through the independent shops and communities that grow cycling and bring in new riders. That is what makes this moment exciting. Joining X-LAB means shaping a company with unmatched production scale, real engineering R&D depth, and the confidence to earn trust… one rider, one dealer, one product, and one market at a time. Are you ready to ride ahead of the pack? Learn more at https://xds.co/https://xlabbikes.com See an insider’s look of our factory: Youtube Video https://www.youtube.com/watch?v=06SheO5XFsY _________________________________________________ XDS is seeking a Territory Sales Manager to join us on this ground-floor opportunity to establish XDS in the North American market. This is a hands-on, field-based sales role focused on opening new dealer accounts and getting XDS bikes on shop floors across a defined territory. You’ll be out in-market most days, walking into stores, having real conversations with shop owners and managers, and building relationships face to face. This role is about laying the groundwork for XDS in North America and being the brand’s presence on the ground. The territory for this position will include Oregon and Washington. We welcome applicants from any of these states. What You’ll Do - Visit bike shops regularly to introduce XDS, open new accounts, and grow relationships - Prospect in person within your territory, including cold walk-ins - Take deals from first conversation through initial order - Train shop staff on product and positioning - Keep a pulse on competitors, pricing, and local market dynamics - Represent XDS in a professional, consistent way You’re a Great Fit With: - Experience in the cycling industry and with bicycle shops (mandatory) - 5+ years of territory/regional sales experience built on relationships, not just inbound leads - Ability to build interest and convert into sales - Comfort and flexibility with traveling, opening doors, and starting conversations in person - Strong organization and follow up skills - Background or interest in cycling or performance sports Success Metrics (1st Year) - Opening new dealer accounts - Hitting agreed revenue targets - Establishing active dealers and demo placements - Maintaining a healthy pipeline and consistent territory coverage _________________________________________________ Our Compensation and Benefits - Salary plus commission structure (expected OTE $125-175k) - Demo bike fleet and comprehensive travel allowances - Remote-focused role - Office space in beautiful Santa Monica, California