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Location: Al Jubail, Saudi Arabia; Dhahran, Saudi Arabia We are seeking an experienced Rotating Equipment Engineer specializing in industrial diesel engines to join the Mechanical Services Shops. The role focuses on diesel-engine overhaul engineering, troubleshooting, diagnostics, performance testing, repair planning, and root cause analysis (RCA) for engines used in oil and gas applications. Key Responsibilities Plan and supervise diesel-engine overhauls, including inspection, repair scope, dimensional checks, and component clearances. Troubleshoot diesel-engine mechanical systems, fuel injection, turbochargers, cooling, lubrication, governors, electronic controls, and protection systems. Ensure proper engine assembly, quality control, timing, torque settings, and compliance with OEM specifications. Conduct dynamometer and load testing to evaluate engine performance, vibration, temperature, pressure, emissions, and fuel consumption. Perform failure analysis and root cause investigations, recommending corrective actions and reliability improvements. Review OEM manuals, technical specifications, test results, and diagnostic data to ensure safe and reliable engine operation. Requirements Education: Bachelor's degree in Mechanical, Automotive, Marine, or Power Engineering from a recognized and approved program. Total Experience: Minimum 15 years of experience in engine or rotating equipment engineering . Relevant Experience: Minimum 8 years of hands-on experience in industrial diesel-engine overhaul, diagnostics, and performance testing . Strong expertise in diesel-engine mechanical systems, fuel injection, turbochargers, cooling, lubrication, governors, controls, and protection systems. Hands-on experience with OEM diagnostic software, borescope inspection, vibration analysis, dynamometer or load-bank testing, and root cause analysis. Ability to interpret OEM manuals, technical specifications, engine test curves, alarm logs, and electronic control data. Preferred Qualifications Relevant OEM diesel-engine training and certifications. Mobius vibration analysis certification. ICML MLA I or equivalent lubrication certification.

Location: Indonesia Paired is a global staffing and recruiting agency that specializes in pairing remote work with top-tier talent. We admire the importance of innovative social media strategies and are committed to connecting talented individuals with great companies that need their unique skills. Our mission is to provide great jobs to talented people, no matter where they are located. Employment Type: Full-time Location: Remote (Asia time zone preferred) Compensation: USD $1,300–$1,600 per month, depending on experience and skill level About the Role We are looking for a highly organized, proactive, and detail-oriented Project Manager to join our client's growing team in the packaging industry. The company supports modern direct-to-consumer (DTC) brands with packaging solutions and related services. This is a client-facing, cross-functional role that bridges communication between clients, internal operations teams, and partner factories. You will oversee projects from initial client requirements through sampling, production, and delivery, ensuring timelines are met and communication remains clear throughout the process. The ideal candidate has strong project management and communication skills, a proactive problem-solving mindset, and the ability to thrive in a fast-paced, remote environment. Key Responsibilities 1. Client Relationship Management Serve as the primary point of contact for assigned clients. Understand client needs and recommend tailored packaging or shipping solutions. Set clear expectations regarding pricing, timelines, and deliverables. Gather client feedback and identify opportunities to improve the client experience. 2. Project & Order Management Manage project timelines and coordinate the sampling, production, and delivery process. Coordinate execution with internal teams and partner factories. Monitor quality control processes and escalate issues when necessary. Ensure projects progress smoothly and potential delays or issues are addressed promptly. 3. Quotations & Reporting Prepare, generate, and update quotations and project documentation. Track margin opportunities and client profitability. Maintain accurate project trackers and dashboards using Lark. Keep project information organized and up to date. 4. Cross-Department Coordination Work closely with Logistics, Social Media, and Factory teams to ensure smooth project execution. Translate client briefs into clear, actionable instructions for suppliers. Attend internal meetings, coordinate follow-ups, and ensure action items are completed. 5. Email & Communication Management Prioritize and manage email communications with clients and suppliers. Maintain clear, timely, and professional communication across stakeholders. Keep records and project updates current in the company's project management systems. Requirements Requirements Excellent communication and client-handling skills. Strong project management, organizational, and attention-to-detail skills. Tech-savvy, with the ability to learn new tools and systems quickly. Strong business acumen and a proactive approach to problem-solving. Ability to manage multiple tasks, timelines, and stakeholders effectively. Proficiency in English. Ability to thrive in a fast-paced, remote working environment. Familiarity with supply chain operations, logistics, or DTC/eCommerce brands. Ideal Candidate The ideal candidate is proactive, dependable, and highly organized, with the ability to manage projects from start to finish while maintaining strong client relationships. They are comfortable coordinating across departments and external suppliers, managing timelines and documentation, and resolving issues before they affect delivery. If you enjoy working in a dynamic environment where communication, ownership, and attention to detail are essential, we'd love to hear from you. Benefits Competitive salary. Ability to work remotely. Collaborating with international teams, as you will be working for global company. Significant room for growth over time

Location: New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We are seeking an experienced Sales Operations Manager to partner with our Sales team for Mid-Market, Enterprise & Strategic segments. In this role, you will serve as a business partner on the Regional Sales Operations team, playing a critical role in helping Figma Sales scale revenue across both our self-service and assisted sales motions. This is a full-time role that can be held from our New York hub or remotely within the Eastern US time zone. What you’ll do at Figma: Serve as a trusted thought partner and strategic advisor to the SVP of AMER Sales — translating business performance, market trends, and field insights into clear recommendations that shape regional priorities, guide investment decisions, and accelerate growth Assist the forecasting process for Mid-Market, Enterprise & Strategic, bringing rigor and repeatability to pipeline reviews Lead and elevate the operating cadence — MBRs, QBRs, weekly forecast reviews — by synthesizing trends, surfacing risks and opportunities, and driving leadership to clear, timely decisions Shape the organizational foundation across the segments by recommending headcount, org design, quota structures, and book-of-business allocation — ensuring the business is set up to scale efficiently and equitably Build and maintain intelligence systems — dashboards, performance reports, and automated insights — that leverage AI to compress the time from data to action for sales and finance leadership Deploy AI tools and workflows to continuously improve operational processes: from pipeline analysis and forecasting accuracy to identifying patterns in rep performance and segment health that would be impossible to surface manually Partner cross-functionally with Sales Systems, Finance, and Data Science to uphold data quality and governance standards — ensuring the insights leadership relies on are trustworthy, timely, and actionable We'd love to hear from you if you have: 5+ years of sales operations experience, preferably in a high-growth SaaS environment Strong analytical and technical skills, with proven expertise in Salesforce, SQL and BI tools (specifically Sigma) Demonstrated experience leveraging AI tools to generate sales insights, including hands-on experience with Claude Code and Codex Strong communication skills with the ability to translate complex analysis into clear, actionable insights and deliver sophisticated models, spreadsheets, and executive presentations to senior leadership While not required, it’s an added plus if you also have: Deep SQL knowledge and experience with Sigma and Gong At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $140,000 — $296,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: (Multiple States), United States About Improvado Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like Genentech, T-Mobile, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution. About the Role We are looking for a technical specialist who owns the performance of the Improvado website end to end: how it is found (SEO and GEO), how fast and healthy it is, and how well it converts visitors into pipeline. This is an analytics-driven, hands-on role for someone who is as comfortable in Google Search Console, GA4, and the browser dev tools as in a keyword report. Because the website is our main product-facing marketing surface, you will also shape how the product is presented on it. In practice, the role covers part of what product marketing would otherwise do. What You Will Do Technical SEO and GEO Own the technical health of the site: crawlability, indexation, Core Web Vitals, page speed, structured data and schema, rendering, redirects, internal linking, and site architecture. Optimize the site for AI search (generative engine optimization): make Improvado understandable, citable, and recommended in ChatGPT, Perplexity, Google AI Overviews, and similar engines. Monitor visibility in both classic and AI search, and turn the findings into prioritized fixes. Website optimization and conversion Continuously improve page performance, UX, templates, and key conversion paths (demo requests, sign-ups, high-intent pages). Plan and run experiments (A/B tests, template and layout changes, messaging tests) and measure their impact on conversions and pipeline. Work with engineering, design, and external contractors to ship improvements to the website stack (CMS, CDN, caching, tracking). Analytics and measurement Build and maintain dashboards that connect organic and on-site behavior to leads, pipeline, and revenue. Own tracking quality: events, attribution, and data accuracy across GA4, Search Console, and related tools. Analyze data to find growth opportunities, and report findings in clear, decision-ready form. Product and messaging input Use search demand, AI-visibility, and on-site behavior data to guide positioning, messaging, and landing page strategy. Work with stakeholders so website content reflects ICP needs and the product’s value propositions. What We Are Looking For Must have 3+ years in SEO and/or website optimization, with measurable results in organic growth or conversion. Strong technical SEO skills and a good understanding of how websites are built, served, and rendered. Ability and willingness to work in the Eastern Time (EST) time zone, with working hours aligned to the US East Coast. Hands-on experience with GEO or AI search optimization, or a clear, demonstrable track record of working on it. Strong analytics experience: GA4, Google Search Console, and BI or dashboard tools (Looker Studio, Superset, or similar). You build your own reports and draw conclusions from the data. Proficiency with SEO tooling (Ahrefs, Semrush, Screaming Frog, or equivalents). Ability to work effectively with developers, designers, and marketers in a distributed team. Nice to have B2B SaaS or marketing technology background. Experience with Webflow or a similar CMS, plus basic HTML/CSS and JavaScript. SQL or advanced spreadsheet skills; experience with AI-assisted or automated workflows. Experience with CRO and experimentation platforms. Exposure to product marketing, positioning, or messaging. You are Analytical, curious, and driven by measurable outcomes. Self-directed and comfortable owning a channel without heavy supervision. A clear communicator across time zones. What We Offer Remote-first environment Competitive compensation Medical and dental benefits 401K plan Unlimited PTO Paid holidays Professional development reimbursement

Location: New York, NY (HQ) 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 hiring a People Business Partner to support managers and employees across Marketing, Finance, Legal, People, Talent, Workplace, and Executive Assistants. Reporting to the Lead People Business Partner for Business & G&A, you’ll be the primary People Business contact for these teams. This is a hands-on individual contributor role: one day you may coach an employee through a difficult conversation, and the next you may partner with a C-suite executive on a major reorganization. No task is too big or too small. You’ll build a sustainable network across employees, managers, and leaders so you deeply understand each team’s work, talent, and business goals. You’ll independently own the People Business agenda for this portfolio, including its most senior leaders: set priorities with them, shape consequential talent and organizational changes, and drive the work through implementation and results. WHAT YOU'LL DO - Own the People Business agenda for your portfolio. Build trusted relationships across employees, managers, and senior leaders; understand each team’s business goals, talent, and challenges; and set priorities that deliver results. - Improve how managers manage. Coach managers through performance, feedback, development, retention, and difficult talent decisions. Help employees prepare for difficult conversations, and partner with senior leaders to strengthen management across their teams. - Drive talent and organizational changes. Use firsthand context and people data to diagnose needs, align leaders on trade-offs, and lead work such as team redesign, leadership development or hiring, and new performance approaches through implementation and measurable results. - Own sensitive people matters. Manage intake, communication, and follow-through for employee relations, leave, accommodations, investigations, and other cases, partnering with People Operations, Legal, Immigration, and other specialists. - Lead performance, engagement, and compensation work. Guide teams through twice-yearly reviews and engagement cycles, including manager preparation, calibration, and follow-up. Advise leaders on cash and equity rewards through partnerships with the Compensation team. - Make the wider People Business team more effective. Identify recurring gaps, build reusable processes, guidance, or tools, drive adoption, and measure improvements in quality, consistency, or capacity. WHAT YOU NEED - A strong record of improving how managers manage, including direct coaching on performance, development, retention, and difficult talent decisions. Relevant experience may come from People Business Partner work, consulting, leadership development, or substantial management experience. - Sound talent judgment and independent ownership. You can earn senior-leader trust, set priorities across a broad portfolio, and drive consequential people and organizational changes through implementation with limited direction. - Good judgment in sensitive situations. You act decisively with incomplete information, communicate clearly, maintain confidentiality and documentation, and know when to involve specialists or escalate with a recommendation. - Strong analytical habits. You use people and business data alongside firsthand context to identify priorities, recommend practical action, and assess results. - A hands-on IC mindset. You enjoy detailed casework and direct employee and manager coaching alongside senior-leader partnership. If your background is outside HR, you can learn People policies and case processes quickly with coaching. NICE TO HAVE - Prior People Business Partner experience, including employee relations, compensation, and recurring performance and engagement cycles. - Experience in people consulting, performance coaching, or learning and development that includes direct work with managers and measurable talent outcomes. - Experience creating reusable manager guidance, case templates, or responsible AI and automation workflows that improve a People team’s effectiveness. 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: United States, Austin, TX Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Data Center Strategy & Commercial Management Specialist Sony Interactive Entertainment is seeking a Data Center Strategy & Commercial Management Specialist to support the ongoing evolution of SIE’s global colocation footprint. This role sits within the Technical Operations department of the Global Developer Future Technology Group (GDFT), the organization responsible for building and operating the data center infrastructure that underpins PlayStation’s Cloud Gaming, Broadcast, and Developer Platform services worldwide. Our colocation environments host critical workloads ranging from real-time game streaming to content distribution, developer build systems, and testing environments. The successful candidate will lead the strategic planning, commercial management, and capacity management of SIE’s global colocation estate, ensuring infrastructure availability aligns with business growth, resilience, performance, and cost objectives. This role is responsible for translating business growth forecasts into practical colocation capacity, power, and infrastructure strategies across existing and future sites. The role combines commercial leadership, provider management, infrastructure planning, and technical coordination across a complex global environment. This is not a facilities operations role; however, the successful candidate must possess strong technical literacy in colocation infrastructure, including mechanical and electrical resiliency models, power and cooling constraints, and operational dependencies, in order to support informed commercial, contractual, and strategic decisions. Responsibilities: Colocation Strategy & Capacity Planning – Translate business growth forecasts and platform requirements into short-, mid-, and long-term colocation capacity strategies across existing and future sites, accounting for scalability, resiliency, performance, and regional demand. Commercial Management – Own the commercial strategy and lifecycle of SIE’s global colocation footprint, including renewals, expansions, exits, commercial obligations, and strategic capacity planning across multiple providers and regions. Commercial Negotiations – Lead commercial negotiations with colocation providers for renewals, expansions, new capacity acquisitions, and related commercial agreements in partnership with internal legal and procurement teams. Provider Relationship Management – Develop and manage strategic relationships with colocation providers, ensuring effective oversight of contractual obligations, service delivery, commercial commitments, escalations, and operational performance. Infrastructure Planning Coordination – Partner with operations, engineering, product, and business intelligence teams to translate deployment forecasts into actionable power, space, and capacity requirements across the global estate. Colocation Sourcing & Market Analysis – Support colocation sourcing activities including market assessments, provider evaluations, regional capacity analysis, commercial benchmarking, and expansion planning. Vendor & Contract Oversight – Manage contract governance, service-level oversight, commercial risk, and compliance requirements across a diverse global provider ecosystem. Commercial Analysis – Support sourcing and capacity decisions through commercial analysis, provider benchmarking, market comparisons, and evaluation of colocation pricing, terms, and service offerings. Lifecycle Governance – Maintain oversight of key commercial and operational milestones, including lease events, capacity commitments, renewals, expansions, migrations, and decommissioning activities. Performance & KPI Management – Define, monitor, and report on operational and commercial KPIs to drive accountability, transparency, and continuous improvement across the colocation estate. Executive Reporting & Governance – Develop reporting and governance frameworks that provide clear visibility into capacity, commercial exposure, provider performance, risk, and strategic opportunities. Market & Industry Awareness – Maintain awareness of colocation market trends, regional supply dynamics, pricing movements, provider capabilities, and industry developments to support strategic decision-making. Regulatory & Sustainability Alignment – Ensure infrastructure planning and commercial decisions align with environmental, sustainability, regulatory, and compliance requirements across multiple global regions. Decision-Making & Strategic Recommendations – Operate effectively in environments with evolving or incomplete business forecasts, providing infrastructure and commercial recommendations that balance growth, risk, timing, and cost considerations. What We’re Looking For: 7+ years of experience in colocation strategy, data center commercial management, infrastructure sourcing, capacity planning, or related disciplines within large-scale global environments. Demonstrated experience leading commercial negotiations with colocation providers, including renewals, capacity expansions, pricing negotiations, SLAs, and contractual commitments. Strong understanding of colocation commercial constructs, including leases, service orders, SLAs, power commitments, contractual obligations, and provider governance models. Experience managing colocation provider relationships across multiple regions, with understanding of market dynamics, supplier capabilities, and commercial models. Strong understanding of colocation infrastructure, including power, cooling, resiliency, and capacity constraints, with the ability to connect technical considerations to commercial and business outcomes. Experience translating business or deployment forecasts into actionable infrastructure capacity, power, and space strategies. Experience supporting colocation sourcing activities including provider evaluations, market analysis, commercial assessments, expansion planning, and capacity negotiations. Experience evaluating colocation commercial proposals, pricing structures, service offerings, and contractual terms to support infrastructure and capacity decision-making. Strong analytical and organizational skills, with the ability to manage complex datasets, contractual obligations, lifecycle milestones, and regional planning assumptions across a global footprint. Experience developing governance processes, KPI frameworks, and executive-level reporting for infrastructure, commercial, or capacity management functions. Excellent communication and stakeholder management skills, with the ability to influence technical, operational, financial, legal, procurement, and business stakeholders across multiple levels of the organization. Self-motivated, detail-oriented, and comfortable operating within a fast-paced, globally distributed environment. Ability to operate effectively at both strategic and tactical levels, balancing long-term infrastructure strategy with day-to-day commercial and operational priorities. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $184,500 — $276,700 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: London, United Kingdom Workplace: remote NovaKid is online-school for children 4 -12 years old, in which children remotely learn English language with natives from the US and the UK. Our customers come from more than 50 countries all over the world. We have 100K+ students and 4K+ teachers. Our international team is proud of 450+ developers / support managers and marketing gurus. Help turn lesson content into learning that works. We are looking for a Learning Content Editor who can recognise what makes a lesson clear, engaging and effective, whether it was created by a person, AI or a combination of both. You will review lesson drafts and completed lessons, looking beyond correct language to the overall quality of the learning experience. You will work closely with content creators, project managers and proofreaders to make sure lessons achieve their intended outcomes. What you will do Check that activities teach, practise and assess the intended learning outcomes. Assess logical flow, scaffolding, pacing and suitability for learners’  ages and levels. Spot opportunities to make lessons more engaging and give learners more meaningful practice. Review slides, instructions, teacher notes and interactions for clarity and intuitive use. Identify English that sounds unnatural, awkward or overly formulaic, even when it is grammatically correct. Provide specific suggested changes, explain why they matter and check the creator’s revisions. Use AI and automation thoughtfully to support efficient, consistent editorial review. You will recommend improvements, including sample wording or alternative activities where useful; creators implement all changes. The role focuses on educational editorial review, with detailed proofreading handled by proofreaders. What you will bring Experience reviewing or developing educational content and a strong understanding of how learners build skills. Native-level English, with an excellent ear for natural phrasing, dialogue and age-appropriate language. The ability to explain editorial decisions clearly and give constructive, practical feedback. A collaborative approach, sound judgement and reliable organisation. An open, critical approach to AI and an interest in useful automation. Experience with English language learning materials and interactive digital lessons would be an advantage. Qualifications and experience A relevant bachelor’s degree, such as Education, English or Linguistics. At least three years’ experience editing or developing educational content. Native-level English and a sound understanding of what makes lessons effective and engaging. Clear, constructive communication and confidence using AI tools. Experience with English language learning materials would be an advantage. We Offer Fully remote work A chance to shape the future of AI-driven education A dynamic team that loves building innovative products

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a professor in a quantitative discipline, a technical founder or a staff-level engineer and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required. What to expect A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers Access to Claude models and GPU compute Connection to the broader AI safety and security research community Interview process The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check. Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027. You may be a good fit if you Are motivated by making sure AI is safe and beneficial for society as a whole Are excited to transition into working on empirical AI research full-time Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer) Thrive in fast-paced, collaborative environments Can implement ideas quickly and communicate clearly Strong candidates may also Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases Mentors and research areas Potential Anthropic mentors include: Sara Price : leads the Alignment Training team; background in data science Ethan Perez : leads the Alignment Science team; background in machine learning Evan Hubinger : leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI) Samuel Marks : leads the Scalable Oversight team; background in mathematics Elana Simon : researches the interpretability of language models and biological models; background in biomedical informatics Belinda Li : researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT) Jack Lindsey : leads the Model Psychology team; background in theoretical neuroscience Nicholas Carlini : researches adversarial machine learning and AI security; previously at DeepMind and Google Brain Jascha Sohl-Dickstein : works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include: AI safety & alignment Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Model Organisms: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures. Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment. AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations. AI security & frontier red-teaming Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography. ML systems & reinforcement learning Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines. For a fuller picture of the questions we care about, see our Recommendations for Technical AI Safety Research Directions and recent publications from our Alignment , Interpretability and Frontier Red teams. Logistics Duration: Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception. Location: This application is for a remote UK position, with the option to work from our London office. However, we prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire. Commitment: Full-time role for the duration of the residency. Compensation: £265,000 to £375,000/year pro-rated for the duration of the residency + benefits Visa sponsorship: We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire. Applicants may also be considered for the Anthropic Fellows Program . 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: £265,000 — £375,000 GBP 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: 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 The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a professor in a quantitative discipline, a technical founder or a staff-level engineer and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required. What to expect A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers Access to Claude models and GPU compute Connection to the broader AI safety and security research community Interview process The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check. Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027. You may be a good fit if you Are motivated by making sure AI is safe and beneficial for society as a whole Are excited to transition into working on empirical AI research full-time Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer) Thrive in fast-paced, collaborative environments Can implement ideas quickly and communicate clearly Strong candidates may also Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases Mentors and research areas Potential Anthropic mentors include: Sara Price : leads the Alignment Training team; background in data science Ethan Perez : leads the Alignment Science team; background in machine learning Evan Hubinger : leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI) Samuel Marks : leads the Scalable Oversight team; background in mathematics Elana Simon : researches the interpretability of language models and biological models; background in biomedical informatics Belinda Li : researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT) Jack Lindsey : leads the Model Psychology team; background in theoretical neuroscience Nicholas Carlini : researches adversarial machine learning and AI security; previously at DeepMind and Google Brain Jascha Sohl-Dickstein : works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include: AI safety & alignment Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Model Organisms: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures. Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment. AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations. AI security & frontier red-teaming Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography. ML systems & reinforcement learning Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines. For a fuller picture of the questions we care about, see our Recommendations for Technical AI Safety Research Directions and recent publications from our Alignment , Interpretability and Frontier Red teams. Logistics Duration: Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception. Location: We prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire. Commitment: Full-time role for the duration of the residency. Compensation: $350,000 to $500,000/year pro-rated for the duration of the residency + benefits Visa sponsorship: We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire. Applicants may also be considered for the Anthropic Fellows Program . 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: $350,000 — $500,000 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: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock human performance. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. As an Apparel & Accessories Inventory Planner, you will own inventory levels and buy plans for assigned categories and SKUs to support business objectives and achieve financial targets. Reporting to the Senior Inventory Planning Manager, you will manage day-to-day inventory planning and purchasing activities while supporting broader departmental planning initiatives. You will collaborate closely with fellow Inventory Planners, Product Marketing, Go-to-Market (GTM), FP&A, and Operations teams to ensure optimal inventory levels for new product launches, seasonal assortments, and ongoing business needs. The ideal candidate has 3+ years of experience in inventory planning and analysis. RESPONSIBILITIES: - Partner with D2C Product Marketing Managers to align inventory plans with product launches, seasonal color stories, and assortment strategies. Develop SKU-level inventory plans across D2C channels and markets to support business needs and product availability. - Own inventory health and replenishment planning for assigned categories and SKUs. Monitor inventory levels, analyze selling trends, and proactively identify risks and opportunities, including potential stockouts, excess inventory, and slow-moving products. Recommend actions to optimize inventory productivity and availability. - Translate demand forecasts, sales trends, and product insights into SKU-level buy quantities. Execute purchase orders and adjust purchasing recommendations based on evolving demand, inventory availability, and business priorities. - Maintain accurate inventory and on-order positions to support the Open-to-Buy (OTB) process. Provide bottom-up analysis of inventory needs, upcoming purchases, and potential risks to inform category-level inventory and financial plans. - Partner with Supply Chain to align inventory requirements with production lead times, minimum order quantities (MOQs), supplier capacity, and shipping timelines. Proactively identify and communicate potential supply constraints. - Support inventory allocation and distribution across D2C channels and markets, ensuring the right products are available in the right locations at the right time while balancing customer demand and inventory efficiency. QUALIFICATIONS: - 3+ years of experience in inventory management, demand planning, merchandise planning or allocation planning within a consumer goods or innovation-driven industry - Advanced Excel skills and a strong understanding of retail math required. - Experience with ERP systems (e.g., NetSuite) and demand and inventory planning platforms (e.g., o9, Anaplan, Blue Yonder, or similar tools) is a plus. - Experience with AI tools or analytics platforms is a plus, especially for forecasting or demand modeling. - Strong analytical and problem-solving skills, with the ability to interpret complex data and translate insights into strategic decisions. - Excellent communication and interpersonal skills; comfortable collaborating with cross-functional teams across operations, supply chain, and marketing. - Proven ability to thrive in fast-paced, high-growth environments with competing priorities and tight deadlines. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $80,000 - $110,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Remote (US) About the company Hi, we're Ondo Finance. Our mission is to provide institutional-grade, blockchain-enabled investment products and services. We have both a technology arm that develops decentralized finance technology, and an asset management arm that creates and manages tokenized funds. We are the global leader in tokenized treasuries, tokenized stocks and ETFs, and are building the future of institutional-grade financial services onchain. Founded by folks from Goldman Sachs Digital Assets Team, we’re backed by some of the best investors in the world including Founders Fund, Coinbase Ventures, Pantera Capital, Tiger Global, and more. We are currently the leaders in the space in terms of AUM and are well capitalized to continue growing the firm. We're fully remote, with team members across the U.S. About the role Ondo's user research team is small but mighty, and works horizontally across the whole product suite, not inside a single pod. We're hiring a senior quantitative user researcher to build and lead quantitative research across the portfolio. You'll set your own UXR strategy with minimal guidance, take on the hardest decision-shaping questions whichever team they come from, and answer them with evidence that holds up at scale. What You'll Do Own the research intake and quant roadmap. Field research questions from product, design, GTM and leadership. Turn vague asks into answerable questions, decide which need quantitative evidence (and which don't), and prioritize where evidence most reduces risk on our biggest bets. Answer the big questions before launch. Use MaxDiff and conjoint to show which features, benefits and messages actually drive decisions. Design pre-launch experiments (stimulus tests, matched cohorts, vignettes, threshold studies) with decision rules set before fielding, and pretest instruments with cognitive interviews. Build measurement and segments that last. Adapt or develop validated scales for trust, perceived security and comprehension, track them across products and markets, and turn our user profiles into statistically validated, sized segments. Get data you can trust, and connect it to behavior. Design sampling, translation and fraud controls for a global, crypto-native audience, and partner with data science to link survey data with product data. Evaluate AI-assisted experiences. Design human evaluation for AI-assisted finance features: rubrics, rater reliability, and whether user trust matches how reliable the system actually is. Be leadership's partner for evidence. Present findings as recommendations with effect sizes, confidence and what would change the call. Give quick, right-sized answers to ad-hoc leadership questions, whether that's existing data, a fast pulse survey or a full study. Set the standards that let PMs and designers run sound lightweight surveys or data-driven validation themselves. Requirements 7+ years of UX or applied research experience, including at least 5 years leading quantitative studies end to end, from study design through recommendation. Experience leading quantitative research studies for financial products (e.g., brokerage, trading, banking, payments, wealth or lending). A self-starter who operates with minimal guidance: you scope ambiguous problems, set your own priorities, and drive studies to a decision. Deep survey science expertise: sampling and weighting, instrument design, bias control, data-quality screening, and programming in Qualtrics or similar. Hands-on experience designing and analyzing MaxDiff and/or conjoint studies. Strong applied statistics: regression, power analysis, and experimental and quasi-experimental design. Fluency in R or Python for analysis and visualization. You have an existing AI-assisted research setup, from drafting survey instruments to writing and reviewing analysis code, and you proofread/validate every output with rigor. A track record of quantitative work that changed a product or business decision, and the ability to explain uncertainty clearly to executives and non-researchers. Nice to Have Experience with crypto, onchain or tokenized-asset products. A master’s or PhD in a quantitative field such as statistics, survey methodology, behavioral economics, or marketing science. Depth in advanced methods, such as hierarchical Bayes and simulators, psychometric scale development, segmentation, pricing research, or SQL and multilevel modeling. Experience evaluating AI or LLM-powered products, such as human evaluation design, rubrics or rater reliability. Research across markets in LATAM, APAC or EMEA, including translating survey instruments. Responsible AI-native research workflows, such as using LLM tools to speed up instrument design, coding of open-ended responses or analysis. What we offer Competitive compensation including but not limited to salary, future token rights, and/or equity (according to your preferences) — We are well-funded and believe that great talent deserves great compensation. Full benefits (medical, vision, and dental) and flexible vacation policy (PTO). Remote-first team across many countries — You will be an early team member helping shape our vision, culture, and design practices. A+ colleagues — Our team includes alumni from: Goldman Sachs, Blackrock, Two Sigma, Bridgewater, SpaceX, AWS, Meta, Google, McKinsey, Circle, Uniswap. Best-in-class investors — We are proud to be backed by leading crypto experts and VCs, including Pantera Capital, Founders Fund and Coinbase Ventures.

Location: Remote - USA Workplace: Remote SOLUTIONS ARCHITECT Our Solutions Architecture team connects business priorities with practical technical solutions, helping customers understand how Chainalysis can support their most important objectives. In this role, you will provide technical leadership throughout the customer journey. You will turn complex requirements into clear recommendations, help customers envision how our products fit into their operating environment, and guide them toward measurable business outcomes. As a Solutions Architect, you'll develop a deep understanding of Chainalysis solutions and the problems our customers are trying to solve. You'll explain complex concepts in a clear, compelling way to technical practitioners, business leaders, and executive stakeholders. You'll also build practical, customer-specific solutions that support deployment, integration, adoption, and long-term value. In this role, you'll: - Serve as a core member of the account team, partnering closely with Sales, Services, Customer Success, Product, and Engineering. - Take ownership of customer outcomes across the full lifecycle, from initial discovery and solution design through investigation support, compliance program delivery, deployment, enablement, adoption, and expansion. - Lead discovery conversations that uncover customer objectives, operational pain points, use cases, technical constraints, and success criteria. - Translate business and operational needs into clear technical requirements, solution designs, and implementation paths. - Articulate Chainalysis capabilities in a way that is relevant to each customer's compliance, risk, fraud, investigations, or security environment. - Create tailored demonstrations, proof-of-value experiences, and technical narratives that show how Chainalysis can address customer priorities. - Conduct blockchain investigations, deliver compliance and regulatory guidance, and build technical solutions such as notebooks, dashboards, automation workflows, data integrations, reference architectures, and agentic workflows. - Develop AI-assisted workflows that accelerate and automate investigations, analysis, and customer processes, adapted to each customer's operating model, data, controls, and risk framework. - Design automation that fits into existing compliance, risk, fraud, investigations, or security operations rather than requiring customers to redesign how they work. - Help customers access and operationalize Chainalysis data through APIs, integrations, and fit-for-purpose technical patterns. - Provide guidance on solution architecture, API implementation, workflow design, data movement, and integration considerations. - Drive platform adoption by connecting customer workflows to Chainalysis capabilities and identifying new use cases. - Identify creative, responsible approaches to difficult customer problems, while balancing speed, scalability, security, maintainability, and measurable impact. - Build trust through sound technical judgment, clear communication, reliable execution, and a strong understanding of the customer's business. - Assemble the technical evidence base, including outcome data, consumption metrics, adoption analysis, and expansion signals, that supports quarterly impact reporting and renewal conversations. - Build customer capability and self-sufficiency rather than creating ongoing dependence on the Solutions Architecture team. - Own the feedback loop between customers and Product/Engineering, translating field insights and feature requirements into product improvements and bringing those improvements back to customers. - Act as a trusted advisor to customers, meeting them at their current level of crypto-maturity and partnering with them to advance their understanding, processes, and outcomes. - Represent Chainalysis at customer meetings, industry events, and conferences. - Contribute to the wider Solutions Architecture team through reusable assets, knowledge sharing, internal initiatives, and better ways of working. We're looking for candidates who have: - Several years of experience in one or more relevant areas, such as financial services, compliance, investigations, fraud, cybersecurity, digital assets, transaction monitoring, sales engineering, solutions architecture, or enterprise product management. - Experience making complex technical or operational concepts understandable to different audiences. - Strong storytelling, presentation, and written communication skills, with the ability to engage both technical teams and executive stakeholders. - A creative, structured, and investigative approach to solving challenging customer problems. - Comfort working with technical tools and learning new technologies quickly. Experience with Python or another programming language, SQL, data analysis, notebooks, workflow automation, APIs, integrations, or AI tools is valuable. - The curiosity and initiative to develop technical depth over time; you do not need to arrive with a complete technical stack, but you should enjoy investigating how things work and building the skills to solve new problems. - The ability to operate effectively when requirements are ambiguous, information is incomplete, or the best path forward has not yet been defined. - A collaborative, generous approach to working with others, including a willingness to share knowledge, seek input, and improve team practices. - A demonstrated focus on measurable customer outcomes, not simply technical activity or product usage. - An interest in blockchain and a desire to keep building your understanding of the technology, the market, and the customers we serve. Total Compensation: • Base Salary Range: $160,000-$185,000 • Offers Commission: 75/25 OTE • Offers Equity AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: Manila Workplace: remote ELEKS Customer Support Office is looking for a Field Applications Engineer in Philippines.     ABOUT CLIENT Our client is a US-based technology company developing innovative software solutions for industrial automation and manufacturing environments. Its platform provides Git-based source control, real-time visibility into industrial operations, and advanced backup and recovery capabilities for automation systems. The company helps industrial organizations modernize their engineering workflows, improve operational reliability, and securely manage automation assets across complex OT environments. REQUIREMENTS 3+ years in Field Applications Engineering, Controls Engineering, Technical Support, or a similar customer-facing role Hands-on experience deploying and installing software on premises at industrial customer sites Strong experience with OT networking and network deployment, including connectivity, segmentation, and secure access; understanding of the Purdue model Practical experience with PLCs, HMIs, and industrial automation systems, including troubleshooting vendor software such as Rockwell Studio 5000 or Siemens TIA Portal Strong troubleshooting skills across controls, software, hardware, and networks; familiarity with industrial communication protocols Experience with Python, SQL, or another programming or scripting language Clear communication with technical and non-technical stakeholders; ability to work across Controls, IT, Cybersecurity, and Engineering teams Excellent written and spoken English RESPONSIBILITIES Lead on-premises deployments and installations of industrial automation software at customer sites Configure and troubleshoot OT network connectivity, infrastructure, and integration with existing industrial systems Ensure deployments align with the Purdue security model and OT network security best practices Troubleshoot PLC vendor software, industrial communication issues, and integration challenges Serve as the primary technical point of contact for deployed customers, providing troubleshooting and ongoing technical support Diagnose and resolve software, hardware, networking, and backup-related issues Collaborate with Product and Engineering teams to address complex technical issues and customer-specific integration requirements Conduct customer training sessions, technical workshops, and on-site enablement activities Support technical discovery, product demonstrations, and pilot deployments for prospective customers Provide recommendations on secure OT network access, system reliability, and backup and recovery practices Maintain technical documentation, troubleshooting guides, and deployment procedures Work closely with Customer Success, Support, Sales, and Engineering teams to ensure successful deployments and customer satisfaction

Location: Remote, AMER Workplace: Remote ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. Supabase is the backend of choice for a growing wave of AI-native builders, and we're deepening structured partnerships with the platforms they build on top of — Anthropic, OpenAI, Vercel, and Lovable. These partners' teams are talking to thousands of developers and agents who need exactly what we build—a full backend platform with Postgres at the core—without the vendor lock-in. This is an opportunity to get Supabase in front of the right partner SAs and make us the default recommendation for a modern, AI-ready backend. ABOUT THE ROLE We’re looking for a Platform Solutions Architect to join our Success Team and help embed Supabase into the Solutions and Engineering communities with AI Builders. You’ll work closely with Partner Solutions Architects and Partner Engineers at Anthropic, OpenAI, Vercel, and Lovable, helping us proactively identify builder problems where Supabase is the right solution and closing the gap between partner intent and real developer outcomes. This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions of AI-native apps and agents. WHAT YOU’LL BE RESPONSIBLE FOR In this role, you’ll focus on three core pillars: TECHNICAL EVANGELISM & EDUCATION - Build deep relationships with Technical counterparts at Anthropic, OpenAI, Vercel, and Lovable, focusing initially on defined use cases and agent/app-migration motions. - Develop and deliver technical workshops, training materials, and enablement content to give partner SAs the fluency to position Supabase. - Create demos, integration guides, and reference architectures that make Supabase’s fit with Anthropic, OpenAI, Vercel, and Lovable immediately legible. - Partner with SAs at these companies on active opportunities to move deals forward and feeding technical pipeline intelligence back to the alliance lead. TECHNICAL SUPPORT & ENABLEMENT - Resolve blockers for partner SAs working on Supabase implementations to maintain their credibility with the builders they support. - Troubleshoot complex integration scenarios and turn solutions into reusable assets. - Maintain a close feedback loop with Supabase product and engineering teams to ensure technical guidance reflects the latest platform capabilities. - Measure success through co-sell opportunities sourced, influenced deals, and SA enablement metrics across the Anthropic, OpenAI, Vercel, and Lovable partnerships. CONTENT CREATION & THOUGHT LEADERSHIP - Write technical blog posts and case studies that demonstrate real-world Supabase implementations built on Anthropic, OpenAI, Vercel, and Lovable. - Represent Supabase at conferences, meetups, and partner-sponsored events (e.g. Anthropic and OpenAI dev days, Vercel Ship, Lovable community events). - Develop video content and interactive learning experiences to reduce the "time-to-fluency" for partner SAs. YOU MIGHT BE A GOOD FIT IF YOU - Have 5+ years of experience in technical roles with deep hands-on experience building on modern AI infrastructure. Previous experience working at Anthropic, OpenAI, Vercel, Lovable (or a similar AI builder platform) or as a partner to one is required. - Understand how partner SAs at AI builder platforms are incentivized, how they make recommendations, and how the partner ecosystem influences developer decisions. - Communicate clearly across both technical and non-technical audiences, explaining complex concepts with ease. - Have a strong technical foundation in PostgreSQL, APIs, and modern development frameworks like React and Next.js, plus fluency with AI/agent tooling (LLM APIs, MCP, agent frameworks). - Are comfortable navigating ambiguity and moving quickly to build a playbook from scratch. - Are energized by solving real-world problems for developers building the next generation of AI-native products. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: United States Workplace: remote ELEKS Customer Support Office is looking for a Field Applications Engineer in the USA.     ABOUT CLIENT Our client is a US-based technology company developing innovative software solutions for industrial automation and manufacturing environments. Its platform provides Git-based source control, real-time visibility into industrial operations, and advanced backup and recovery capabilities for automation systems. The company helps industrial organizations modernize their engineering workflows, improve operational reliability, and securely manage automation assets across complex OT environments. REQUIREMENTS 3+ years in Field Applications Engineering, Controls Engineering, Technical Support, or a similar customer-facing role Hands-on experience deploying and installing software on premises at industrial customer sites Strong experience with OT networking and network deployment, including connectivity, segmentation, and secure access; understanding of the Purdue model Practical experience with PLCs, HMIs, and industrial automation systems, including troubleshooting vendor software such as Rockwell Studio 5000 or Siemens TIA Portal Strong troubleshooting skills across controls, software, hardware, and networks; familiarity with industrial communication protocols Experience with Python, SQL, or another programming or scripting language Clear communication with technical and non-technical stakeholders; ability to work across Controls, IT, Cybersecurity, and Engineering teams Excellent written and spoken English RESPONSIBILITIES Lead on-premises deployments and installations of industrial automation software at customer sites Configure and troubleshoot OT network connectivity, infrastructure, and integration with existing industrial systems Ensure deployments align with the Purdue security model and OT network security best practices Troubleshoot PLC vendor software, industrial communication issues, and integration challenges Serve as the primary technical point of contact for deployed customers, providing troubleshooting and ongoing technical support Diagnose and resolve software, hardware, networking, and backup-related issues Collaborate with Product and Engineering teams to address complex technical issues and customer-specific integration requirements Conduct customer training sessions, technical workshops, and on-site enablement activities Support technical discovery, product demonstrations, and pilot deployments for prospective customers Provide recommendations on secure OT network access, system reliability, and backup and recovery practices Maintain technical documentation, troubleshooting guides, and deployment procedures Work closely with Customer Success, Support, Sales, and Engineering teams to ensure successful deployments and customer satisfaction

Location: Remote-Sao Paulo; Remote-Mexico City Workplace: Remote LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? YOUR MISSION The Senior Business Analyst (Sr. BA) helps lead complex, cross-functional automation initiatives and drives high-value automation opportunities across the enterprise for Banking and Financial Services Customers. This role operates with a high degree of autonomy and serves as a strategic advisor to business stakeholders, ensuring automation solutions deliver measurable business outcomes aligned to enterprise objectives. The Sr. BA goes beyond documenting processes — they identify transformational automation opportunities, influence solution design decisions, shape change adoption strategies and contribute to reusable assets and best practices that elevate UiPath’s internal automation maturity.   WHAT YOU'LL DO AT UIPATH Strategic Opportunity Identification & Business Case Development - Proactively identify and evaluate high-value, cross-functional automation opportunities aligned to enterprise strategy. - Assess feasibility, complexity, scalability, and ROI of automation initiatives. - Define and quantify business cases with measurable outcomes (cost savings, efficiency gains, risk reduction, quality improvement). - Act as a trusted advisor to stakeholders in prioritizing automation initiatives. - Contribute to building and sustaining a robust automation pipeline. Complex Process Analysis & Solution Shaping - Lead end-to-end discovery for complex processes, including detailed As-Is and scalable To-Be designs. - Collaborate with Solution Architects to influence high-level solution architecture decisions. - Ensure requirements are complete, scalable, and aligned to enterprise architecture standards. - Serve as a quality gate for functional documentation (PDD validation and requirement clarity). - Anticipate downstream impacts across systems, integrations, and operating models. Stakeholder Leadership & Influence - Lead workshops with senior stakeholders to shape automation vision and solution direction. - Communicate automation sources of value in business terms tailored to executive audiences. - Navigate ambiguity and resolve complex scope or requirement conflicts. - Act as the primary liaison between business stakeholders, Solution Architects, and Developers. - Guide and mentor junior Business Analysts when applicable. Delivery Oversight & Cross-Functional Collaboration - Partner with Solution Architects and Developers through design, testing, and deployment phases. - Facilitate alignment on scope, acceptance criteria, and business validation. - Independently manage analysis deliverables across multiple initiatives. - Proactively identify risks, interdependencies, and mitigation strategies. - Support Agile ceremonies and facilitate stand-ups as needed. Change Management & Adoption Strategy - Design and implement change management strategies to drive sustainable automation adoption. - Develop stakeholder communication plans that promote “automation-first” mindset. - Identify adoption barriers and implement mitigation strategies. - Ensure business readiness for deployment and post-implementation transition. Platform & Industry Expertise - Maintain strong knowledge of UiPath platform capabilities and emerging automation technologies. - Leverage enterprise application expertise (e.g., Salesforce, Workday, NetSuite, Concur, Coupa, etc.) to identify integration opportunities. - Stay current on automation trends and recommend innovative use cases. - Promote reuse of automation components and blueprint patterns. Knowledge Contribution & Continuous Improvement - Identify and document reusable solutions and process blueprints. - Contribute to best practices, methodologies, and industry points of view. - Develop internal case studies and success stories to promote automation impact. - Drive continuous improvement in BA practices and documentation standards. WHAT YOU'LL BRING TO THE TEAM - 8+ years of experience in business process analysis, operations consulting, or automation initiatives. - Experience working within the Banking and Financial Services Industry - Demonstrated experience in complex, cross-functional process transformation. - Experience with enterprise applications such as Salesforce, Workday, NetSuite, Concur, Coupa, etc. - Strong analytical and conceptual problem-solving skills. - Proven ability to influence senior stakeholders. - Experience working in global, cross-functional environments. - Bachelor’s or Master’s degree in Computer Science, Engineering, MIS, Business, Finance, Accounting, or related field. - Strong English speaking and writing skills are required. Preferred: - Knowledge of UiPath and Agentic technologies. - UiPath Business Analyst certification (Professional level preferred). - Experience in Agile methodologies and JIRA or equivalent collaboration tools. - Experience designing change management strategies. #LI-KS6 Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Location: Foster City, CA 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. ABOUT THE ROLE Replit enables people to build software with AI. The systems underneath that experience must support safe production changes, measurable reliability, and predictable performance as usage grows. This Engineering Manager will lead SRE across observability, incident management, load testing, performance engineering, cloud cost and capacity, and rollout infrastructure. You'll lead and grow an existing team that builds and operates production platforms and works hands-on across application and infrastructure boundaries. This is a software-building leadership role, not simply an incident-management function. You'll help teams ship safely, understand production behavior, and remove performance bottlenecks through concrete engineering improvements. You should be comfortable going deep on a rollout failure or performance investigation while developing technical leaders and sustainable ownership across a distributed team. WHAT YOU'LL DO - Observability. Build and operate metrics, logs, traces, and alerting capabilities. Help teams establish meaningful SLOs and use production telemetry to diagnose problems and verify improvements. - Incident Management. Own incident tooling and practices, coordinate cross-team response, and turn incident reviews into engineering improvements that reduce recovery time and repeat failures. - Load Testing. Build and maintain load/failure testing capabilities. Validate critical paths under expected demand, quantify headroom, and test recovery and production readiness with service owners. - Performance Engineering. Lead deep engagements with internal teams on SLOs and end-to-end performance. Use profiling, telemetry, and load tests to identify bottlenecks and deliver improvements with service owners—not just recommendations. - Stay technically engaged. Review designs and production changes, debug difficult failure modes, and use AI coding tools—including Replit—to prototype and automate. Apply rigorous review and verification to AI-generated changes. - Build and grow a high-ownership engineering team. Coach engineers, develop technical leaders, manage performance, and hire against agreed needs. Make distributed collaboration, mentoring, and backup coverage deliberate rather than relying on a few permanent escalation points. - Measure outcomes and close the loop. Track rollout safety, recovery time, repeat incidents, critical-path latency/throughput, test coverage, and improvements arising from cost/capacity analysis. Agree success measures and continuing ownership with partner teams. WHAT YOU'LL BRING - Demonstrated engineering management. You have led and developed engineers, made prioritization and performance decisions, hired thoughtfully, and delivered through a team—not only acted as its strongest individual contributor. - Software-oriented production systems depth. You have built and operated distributed systems or reliability platforms and can reason across deployment behavior, Kubernetes, telemetry, service dependencies, and recovery mechanisms. - Safe-change and performance judgment. You have led consequential migrations or incidents and used measurement to diagnose reliability or performance problems. You can distinguish symptoms from causes and validate fixes under realistic conditions. - Platform-product and cross-team judgment. You can build capabilities other teams adopt, lead hands-on engagements without absorbing every service's operations, and make clear tradeoffs among reliability, performance, engineering effort, and cost. NICE TO HAVE - Experience with GitOps or progressive-delivery platforms such as Harness, ArgoCD, or Kargo. - Experience with observability, profiling, load-testing, and failure-testing systems, including OpenTelemetry or comparable tooling. - Experience with cloud cost attribution, capacity planning, and provider coordination, particularly on GCP. - Experience growing distributed teams and using AI tools to increase engineering output while preserving production safeguards. 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: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Our Strategic & Leadership Hiring team leads Director, Senior Director, VP and C-suite hiring across functions and global locations. We’re looking for an experienced, research-led recruiter to deliver the market insight, candidate engagement and initial assessment behind these business-critical searches. You’ll own research, sourcing and screening for assigned roles, turning complex briefs into thorough talent maps and credible shortlists. This is a hands-on opportunity to take ownership, work closely with senior stakeholders and help shape Checkout.com http://Checkout.com’s leadership teams. WHAT YOU’LL BE DOING - Turn role briefs into focused search plans. Build thorough company and talent maps, understanding organisational structures, role scope and transferable experience to identify strong candidates beyond the obvious talent pools. - Write tailored outreach that gives senior, passive candidates a compelling reason to engage. Build rapport, communicate the opportunity credibly and sustain interest through thoughtful follow-up. - Lead substantive screening conversations to explore expertise, achievements, leadership behaviours and motivation. Make evidence-based recommendations, highlighting strengths, gaps and areas for further assessment. - Keep multiple searches moving. Get up to speed quickly on unfamiliar roles and markets, prioritise effectively and adapt your approach when feedback or results point to a better route. - Build trusted relationships with candidates and stakeholders through responsive communication, discretion and clear expectations. Share concise search updates, candidate summaries and useful market intelligence. - Maintain accurate candidate intelligence, market maps and applicant tracking system records. Stay on top of commitments and next steps, and flag search risks early. - Use research platforms, market intelligence and AI tools to improve search speed and quality, checking accuracy and protecting confidential information. WHAT WE LOOK FOR - Recruitment experience with substantial hands-on responsibility for research, sourcing and candidate screening, and a track record of building strong pipelines for senior or specialist roles. - Thorough market-mapping skills. You can build a clear picture of a talent market, identify relevant organisations and people, and explain the reasoning behind your recommendations. - Compelling written and verbal communication. You create personalised outreach, engage senior candidates and ask thoughtful, probing questions. - Sound judgement across functional expertise, interpersonal skills and leadership behaviours. You distinguish demonstrated capability from polished presentation and recognise where more evidence is needed. - High attention to detail and reliable follow-through. Your candidate notes, research, written updates and records are accurate, organised and handled with discretion. - Pace, resilience and adaptability. You learn new briefs quickly, balance competing priorities and respond to unanswered outreach, candidate declines and changing requirements with practical alternatives. - A collaborative, low-ego approach. You take ownership, welcome feedback, share insights and ask for help early when needed. NICE TO HAVES - Executive search or search-firm research experience, particularly on confidential leadership appointments. - Experience sourcing across fintech, payments or technology, and using AI or market-intelligence tools to strengthen research and outreach. WHY JOIN You’ll take ownership of meaningful search work, partner with senior decision-makers and build deep knowledge of leadership talent across functions and markets. Your research and judgement will help Checkout.com http://Checkout.com make better-informed leadership hiring decisions. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/