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Location: Hong Kong, Hong Kong SAR Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity About the Liquidity Platform The Liquidity Platform provides technology covering the full lifecycle of cryptocurrency trading, including venue connectivity, real-time market data processing, automated quoting and trading, order execution, position management, risk controls, and data analytics. The platform connects to centralized exchanges, decentralized venues, and event contract markets worldwide. It supports spot, derivatives, and event contract products and provides stable, efficient infrastructure for our liquidity business. About the Options Market Making Team The Options Market Making team develops and operates automated options quoting and trading systems. Our responsibilities span market data integration, options pricing, volatility and Greeks calculations, automated quoting, order execution, position management, hedging, and risk controls. The team owns the complete trading lifecycle and continues to advance both the multilingual development of our trading systems and our AI-native engineering practices. In this role, you will contribute across the trading system, develop an understanding of its different business domains, and take end-to-end responsibility from requirements analysis and implementation through production operation. What You’ll Be Doing Design, develop, and operate automated options market making systems covering market data, pricing, quoting, order execution, hedging, positions, and risk controls. Work closely with trading, quantitative, and product teams to translate business requirements into reliable, testable production systems. Contribute to the development of trading systems and continuously improve the performance, stability, and maintainability of critical trading paths. Follow an AI-native engineering approach by applying AI coding tools to requirements analysis, technical design, development, testing, and code review, while remaining accountable for the quality of the final delivery. Improve testing, monitoring, alerting, and recovery capabilities, and participate in incident resolution and post-incident reviews. Own the technical design and code review of core modules. Senior and Staff engineers will also lead cross-module projects and architectural evolution. What We Look For In You Bachelor's degree or above in Computer Science, Software Engineering, Mathematics, Physics, or a related discipline. At least two years of experience in backend engineering, real-time systems, infrastructure, or trading systems. Proficiency in at least one of Java, Rust, or C++, with the ability to work effectively in a multilingual codebase. Strong computer science fundamentals, including operating systems, network communication, multithreading, concurrent programming, and distributed systems. Proficiency in using AI coding tools for requirements analysis, development, testing, and code review, with the ability to independently evaluate and validate AI-generated designs and code. Strong analytical skills, business understanding, ownership, and communication skills, including the ability to read technical materials and communicate in written English. Technical Requirements Proficiency in developing production systems with Java 17+, Rust, or C++, with the ability to design, implement, and troubleshoot within a multilingual codebase. Familiarity with Linux development and runtime environments, including the use of common tools for resource analysis, performance diagnostics, and troubleshooting. Experience with multithreading, asynchronous processing, network I/O, and high-performance data structures, with an understanding of lock contention, memory allocation, caching, garbage collection, and their impact on latency. Ability to use AI coding tools to support requirements analysis, development, testing, and code review, while independently validating the correctness and production safety of generated code. Familiarity with TCP, UDP, WebSocket, HTTP, or proprietary exchange protocols, with experience developing real-time data or trading interfaces. Ability to design and optimize high-throughput, low-latency systems and identify bottlenecks through profiling, benchmarking, and production metrics. Familiarity with real-time messaging and inter-process communication. Experience with Aeron, shared memory, lock-free queues, or binary protocols is preferred. Experience building logging, metrics, alerting, and automated recovery capabilities for continuously operating production systems. Familiarity with build and dependency management for large multi-module projects, together with experience in unit testing, integration testing, and continuous integration. Preferred Qualifications Experience in options market making, quantitative trading, exchange connectivity, market data, order management, quoting, hedging, or risk systems. Understanding of order books, order lifecycles, and market microstructure. Understanding of options pricing, volatility, Greeks, PnL, inventory risk, and dynamic hedging. Experience developing low-latency trading systems, real-time market data systems, or high-performance network services. Experience evolving multilingual systems or separating performance-sensitive components. Experience with market data replay, strategy simulation, trade reconciliation, or production incident resolution. Experience using Python for data analysis, backtesting, or production diagnostics. Practical experience using AI coding tools such as Claude Code or Codex in production projects. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Hong Kong Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back? , as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities. Important Notice: ⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc . If you receive a suspicious email or message, please do not respond and report it immediately to us. Location: Hong Kong Type: Full-time The Role As Nex’s Senior Electronic Engineer, you will work at the heart of Playground hardware and smart accessories, helping turn ambitious product ideas into reliable products at scale. You will develop and validate PCBAs, turn product intent into precise specifications, lead JDM execution, support products through production, and solve manufacturing and field problems at their root. You will work hands-on from development and EVT through industrialization, production, and sustaining. Our partners bring development capacity and manufacturing expertise; you will ensure Nex sets the technical direction, makes the critical decisions, and holds every product to a high engineering standard. The knowledge you gain from today’s products will also shape what comes next. By strengthening our tools, lab practices, standards, and technical judgment, you will help Nex build better consoles, push the boundaries of active play, and bring exceptional experiences to families everywhere. The Mindset You are curious, hands-on, and evidence-led. You turn ambiguity into clear requirements, promising ideas into working hardware, and complex failures into verified root causes. You pair bold product ambition with engineering discipline, challenge weak assumptions, and act on first principles and measured results. You build today’s product while making Nex stronger for the next one. What You’ll Do 1. Build and Sustain the Hardware Develop, bring up, and validate functional PCBAs for current consoles and accessories through EVT, production, and sustaining. Support design changes, component transitions, yield improvement, and field issues throughout the product lifecycle. 2. Set the Engineering Standard Turn product intent into precise, testable requirements, interfaces, design margins, and acceptance criteria. Codify as design guidelines. Hold every detail to an exacting standard for performance, reliability, safety, and compliance across global markets. 3. Lead JDM Execution Set technical direction and guide partners through design, validation, industrialization, production, and sustaining. Challenge plans, designs, tests, and conclusions; validate key evidence and keep technical authority inside Nex. 4. Make Quality Scale Build Nex’s failure-analysis capability and establish the true root cause of manufacturing and field issues. Prescribe and verify corrective actions that improve yield, prevent recurrence, and raise quality as volume grows. 5. Shape What’s Next Evaluate technologies, platforms, and components that can unlock better consoles and active-play experiences. Turn lessons, benchmarks, and working prototypes into stronger decisions for future programs. Success Looks Like Hardware moves confidently from development through production and sustaining. Products deliver exceptional performance, reliability, safety, and compliance as volume and global reach grow. JDM partners execute efficiently while Nex leads critical decisions and validates the evidence. Manufacturing and field issues become verified fixes and lasting improvements. Lessons from today’s products sharpen future technology and product choices. Every program leaves behind better tools, knowledge, standards, and engineering capability. Must Have Degree in Electrical or Electronic Engineering, or equivalent practical experience. 7+ years developing electronic systems for connected consumer products, including at least one product through mass production and sustaining. Strong digital, analog, power, high-speed interface, SI/PI, PCB, and system-architecture fundamentals. Demonstrated ability to evaluate technologies and components and turn findings into product recommendations. Hands-on experience building prototypes and functional PCBAs, bringing up boards, using lab equipment, and debugging cross-layer problems. Experience producing detailed engineering requirements and verification criteria. Experience leading technical work with JDM/ODM partners and critically evaluating designs, plans, circuit and functional testing, test data, and reports. Strong manufacturing and field failure-analysis skills, including verified root cause and corrective action. Clear written and spoken English; working Mandarin for supplier and factory collaboration. Nice to Have Experience with SoCs, cameras, sensors, audio, HDMI/USB, Wi-Fi/Bluetooth, or smart accessories. Familiarity with Android/AOSP or embedded Linux and hardware/software co-debugging. Experience with EMC, safety, reliability, regulatory certification, and high-volume manufacturing. Python or similar scripting experience for lab automation and data analysis. We Offer Competitive compensation package. Flexible working hours and vacation policy. Product-driven culture that treasures talents and individual growth. Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field Nex is located in San Jose, California, USA and Hong Kong . Learn more about us at https://www.nexplayground.com/about . We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination. We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.

Location: Hybrid - San Francisco About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role: We’re looking for an FP&A Manager, Product to join our Finance team. You’ll be the financial lead for our Engineering, Product, and Design (EPD) organizations—owning OpEx and headcount planning while building scalable systems that improve visibility and decision-making. You’ll partner cross-functionally with Engineering leadership, People, and Strategic Finance to ensure investments are intentional, efficient, and aligned with long-term company strategy. What you'll do: Own the Product investment envelope – Manage OpEx and headcount budgets across EPD. Ensure investments align with company strategy while maintaining disciplined spend and margin targets. Drive rigorous workforce planning across technical and corporate teams – Build bottom-up headcount models by function and level. Partner with Engineering leaders to sequence hiring against roadmap needs, compliance requirements, and operational scale. Model infrastructure and internal systems economics – Develop clear forecasting models for cloud hosting, AI/compute, internal tooling, SaaS applications, and enterprise systems. Identify optimization opportunities across both product infrastructure and corporate tech stack. Translate roadmap and corporate priorities into financial tradeoffs – Evaluate build vs. buy decisions, capitalizable vs. expensed R&D, and vendor investments across EPD. Provide clear recommendations grounded in ROI and long-term cost structure impact. Elevate budget vs. actuals rigor across the organization – Lead monthly BvA reviews for EPD. Automate reporting, improve accrual accuracy, and surface actionable insights—not just variance explanations. Design scalable financial controls without slowing teams down – Implement approval workflows for headcount, vendor spend, and enterprise tooling that are disciplined, fast, and transparent. Use automation and AI to reduce manual review and eliminate bottlenecks. What you need: Proven partner to Engineering leaders – You’ve supported technical teams and corporate functions, understanding how product velocity and operational infrastructure translate into financial outcomes. Fluent in infrastructure and SaaS cost drivers – You understand cloud economics, AI/compute scaling, enterprise tooling, and how architecture and vendor decisions impact margins. Strong operator in workforce planning – You’ve managed complex headcount models across multiple departments, aligning hiring pace with financial guardrails. Advanced financial modeler – You build scenario-driven models with clear assumptions and sensitivity analysis that stand up to executive scrutiny. Precision-focused and systems-oriented – You eliminate blind spots in forecasting, improve accrual accuracy, and build processes that scale without creating bureaucracy. Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $180,000.00 - $220,000.00. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

This is a contract/part-time role: 10-20 hrs/week with a rate of $40-50/hr. NOPE is an AI safety company focused on the proliferation of relationships between humans and AI and their impact on wellbeing and societal fabrics. They measure real conversations and relationships involving AI, track incidents, analyze regulations, and run evaluations on both raw LLMs and deployed AI. Their mission is to hold AI labs and products accountable for harms produced and to foster safe and aligned AI through proper governance and scrutiny. The Social Comms role involves increasing NOPE's social media presence and becoming an active participant in the global conversation around AI safety and alignment. Responsibilities include taking research and artifacts produced by NOPE and creating a consistent, human presence on social channels by deciding what gets posted, writing content, and engaging with researchers, journalists, builders, and policymakers. The role requires maintaining an authoritative voice without growth-hacking or engagement bait. Work is asynchronous, any timezone, with direct access to the team and unpublished materials. The person will have significant authorship over NOPE's blog, LinkedIn, other social accounts, public spaces, and private community spaces relevant to their work. Ideal candidate qualities: — Deep care about AI's impact on human relationships and social norms — Abstract understanding of LLMs and their flaws — Experience running or growing popular social accounts — Writes authentically without relying on AI to generate content — Ability to distill research into key points that resonate with people — Can engage thoughtfully with critics and strangers publicly — Good judgment on which social channels matter — Experience in civic domains, public-good, policy, trust-and-safety, or non-profits — Bonus: published material relevant to AI proliferation and risks Applicants should mention the word AWARD and tag RNDYuNjIuMjEwLjE5Nw== to confirm they read the job post fully.

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Technical Account Manager About the job Twilio is looking for an experienced Technical Account Manager who is going to be the designated technical support engineering contact for our strategic customers.  As a designated TAM you will be supporting customers during Eastern hours (9am to 6pm ET) and working on the cases created by customers and resolving complex technical problems with potentially very costly and far-reaching consequences. You should have an interest in digging deep as well as be able to zoom out and look at the larger picture. The TAM delivers proactive guidance to the customer to provide added value through the use of Twilio technologies and deliver recommendations to make the customer’s environment less susceptible to business impacting downtime. You are able to remain calm and effective at higher workloads as well as excelling at prioritization and evaluation of situational urgency. There will also be the potential need to volunteer for holiday coverage on a stipend basis. Responsibilities In this role, you’ll: Use your strong technical and diplomatic skills to address customer issues and provide customer feedback to Twilio’s Product and Engineering teams. Work with our customers' and partners' developers, architects, and support personnel to resolve complex problems with potentially very costly and far-reaching consequences. Collaborate with your teammates and the Twilio Product and Engineering teams via Slack as well as filing JIRAs to report reproducible bugs. Understanding customer trends, analyzing patterns, driving betterments and reporting what you observe to the management team in order to better improve our support process is a key part of the role. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: 6 to 10+ years of relevant experience Good knowledge of RESTful technology, previous work with APIs and ability to understand and troubleshoot issues with cloud solutions. Broad capabilities to troubleshoot server-side code (Java, Node.js, PHP, C#, Python) and client-side JavaScript, with a good understanding of React and Redux Skilled in troubleshooting network connectivity issues, with an understanding of TCP/UDP, and basics of SSL/TLS. High competency in communicating complex technical issues to both technical and non-technical audiences via phone or email mediums Comfortable in working with customers’ developers to troubleshoot use of the Twilio helper libraries. Have an inquisitive mind to understand how things work Advanced time management skills, ability to work well under pressure, and proficiency at developing workflows to increase troubleshooting efficiency while still following standard processes and procedures. Excellence in task prioritization and evaluation of situational urgency. Interest in utilizing customer feedback to identify and drive improvements in our products. Enthusiasm for interacting and collaborating with other departments within Twilio in your search for the solutions our customers need. Ability to stand in the customer’s shoes and demonstrated dedication to the customer experience. Experience in managing dedicated customer accounts. Desired: Understanding of Telecoms and VOIP including WebRTC and SIP Location This role will be remote and based in Remote, USA providing support during 9am to 6pm Eastern Time Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State. The information below is provided for candidates hired in those locations only. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $116,960.00 - $146,200.00 This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Application deadline information Applications for this role are intended to be accepted until September 28th, but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Philippines Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 We’re looking for a Technical Implementation Account Manager (TAM) to support our customers as a trusted partner and problem-solver, blending strong relationship management with a growing understanding of ClickUp’s platform and capabilities. This role sits at the intersection of customer success, solution strategy, and technical enablement, contributing to long-term growth, adoption, and measurable business outcomes. This role operates in an AI-native environment, and we expect TAMs at this level to use AI tools as a daily multiplier across account preparation, workflow analysis, solution design, follow-through, and customer enablement.   TAMs at this level manage a defined book of business and own day-to-day execution for their accounts, while working closely with more senior TAMs and cross-functional partners on complex initiatives. You’ll use established frameworks, playbooks, and templates to guide onboarding and adoption, monitor account health, and help ensure stakeholders see continuous value throughout their lifecycle. At the L04 level, success means not just understanding AI-enabled features, but showing sound judgment in when and how to use AI to improve execution quality, speed, and customer outcomes.   Technical Account Managers are responsible for delivering measurable value and driving meaningful business outcomes across their customer portfolio by focusing on: - Customer Enablement & Onboarding: Supporting customers through onboarding and implementation for assigned customers, following established discovery frameworks and implementation plans. - Account Health & Engagement: Monitoring adoption and account health within your book, executing standard plays to drive engagement, and escalating risks appropriately. - Process Optimization & Solution Design: Collaborating with customers to understand key workflows and configure ClickUp solutions using established best practices, templates, and guidance from senior TAMs. - Innovation Adoption & Workflow Automation: Guiding customers in adopting relevant features, including AI and automation, primarily by implementing standard patterns and documented workflows to improve efficiency and outcomes. - AI-Native Execution: Using AI in your own day-to-day workflow to synthesize discovery, accelerate account preparation, improve documentation quality, draft clearer recommendations, and increase the consistency and speed of customer follow-through while maintaining strong judgment and accuracy. CORE RESPONSIBILITIES: New Customer Onboarding - Support end-to-end onboarding and implementation of ClickUp for assigned customers using established discovery frameworks, templates, and project plans. - Translate functional and technical requirements into ClickUp solutions for standard use cases under the guidance of more senior TAMs when needed. - Guide customers through setup, integrations, and change management fundamentals, escalating complex scenarios appropriately. - Use AI-assisted workflows where appropriate to prepare for discovery, summarize implementation decisions, and improve the speed and quality of customer follow-up. Account Health Management - Monitor health for your book of business, including utilization, key feature adoption, and champion/stakeholder engagement. - Execute standard adoption plays and account review cadences to maintain or improve health, leveraging existing playbooks and frameworks. - Identify risks early and partner with senior TAMs and account teams to build and execute recovery plans. - Run recurring meetings with your accounts, sharing usage summaries, recommended next steps, and capturing follow-ups. - Connect AI adoption, automation usage, and workflow improvements to measurable customer outcomes such as efficiency gains, stakeholder adoption, and expansion signals. Workflow Mapping (IER Framework) - Conduct Intake → Execution → Reporting (IER) cycles for core customer workflows using established discovery guides and templates. - Recommend optimizations based on documented best practices and apply workflow templates to support scale and consistency. - Maintain clear documentation of customer workflows, data models, and configuration decisions following team standards. - Use AI to help analyze repetitive workflow patterns, identify process friction, and sharpen recommendations — while validating outputs before using them with customers. AI Enablement & Agent Deployment - Support adoption of ClickUp AI across relevant customer workflows by configuring and testing standard AI workflows and automations aligned to published best practices. - Provide training and consultation on how to use existing AI and automation patterns; escalate novel or complex use cases to senior TAMs or specialists. - Track and report AI usage and credit consumption against plan, surfacing straightforward opportunities to deepen adoption. - Evaluate AI-generated outputs for accuracy, usefulness, and business relevance before sharing recommendations or enabling them in customer workflows. - Help customers move from feature awareness to practical workflow transformation by identifying where AI can remove manual work, improve reporting quality, or speed execution in repeatable ways. Customer Success & Expansion - Serve as the technical partner for assigned accounts, connecting usage to business value using established value frameworks and artifacts. - Identify expansion signals (e.g., usage patterns, feature interest) and pass qualified leads and insights to the account team for follow-up. - Collaborate with Sales and Customer Success to support renewals, expansions, and AI upsells, aligning your work to the broader account strategy. Cross-Functional Collaboration - Partner with account teams, Product, and Services to maintain alignment between delivery and success for your accounts. - Share customer feedback and insights to improve delivery and customer experience, focusing on clear problem statements and reproducible examples. - Collaborate with more senior TAMs and internal stakeholders on complex initiatives, contributing execution and customer context. CORE SKILLS & COMPETENCIES: Technical Acumen Solid understanding of ClickUp platform capabilities, automation logic, integrations, and AI Agent functionality, with a focus on applying documented solutions to customer use cases. Learns and adopts new features and patterns quickly.   AI Expertise Uses AI and Agents as a daily multiplier, not just an area of awareness. Comfortable with generative AI concepts, prompt design, and automation frameworks, and able to show examples of AI improving work quality, speed, or consistency in a customer-facing environment. Able to implement standard AI use cases and identify when to bring in senior partners for more complex or novel scenarios.   Consultative Discovery Strong at workflow analysis for core, well-understood processes. Uses structured discovery guides to identify friction points and map customer needs into ClickUp using existing best practices.   Project & Program Management Strong project and time management for your account load. Able to juggle multiple accounts and workstreams with regular check-ins and guidance from your manager or senior TAMs.   Data & Reporting Comfortable using dashboards and metrics to communicate health, adoption, and ROI at the account level. Interprets usage data to support clear, actionable recommendations within established frameworks.   Customer Engagement Executive presence and strong communication skills, with an emphasis on clarity, expectation setting, and follow-through. Builds trust with customer stakeholders by reliably executing agreed plans.   Account Ownership Accountable for day-to-day execution for your book of business: proactive in follow-through, organized, and focused on achieving measurable outcomes while escalating higher-risk or highly strategic decisions.   Collaboration & Influence Works cross-functionally with account teams, Product, and Sales to align on outcomes. Influences through clear data, customer stories, and consistent execution, while relying on senior leaders for major strategic decisions and escalations. AI-NATIVE CANDIDATE EXPECTATIONS: - Can demonstrate examples of using AI tools, prompts, automations, or agent-assisted workflows to improve personal productivity, customer delivery quality, or workflow outcomes. - Can speak concretely about where AI added value, where human judgment was still required, and how success was measured. - For this level, we are looking for evidence of strong applied AI fluency in execution — not necessarily novel model development or highly complex custom agent architecture. INTERVIEW SIGNAL: BE PREPARED TO WALK THROUGH HOW YOU USE AI IN YOUR WORK. OUR INTERVIEW PROCESS WILL ASSESS PRACTICAL AI CAPABILITY, INCLUDING HOW YOU APPLY AI TO WORKFLOW ANALYSIS, CUSTOMER EXECUTION, JUDGMENT, AGENTIC WORKFLOWS, AND MEASURABLE OUTCOMES. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: Argentina; Brazil; Colombia; Chile; Mexico; Peru Partner One is a leading investment group with a 30-year history of acquiring and growing successful software companies. Trusted by over 2,000 of the world’s largest corporations and governments, Partner One owns some of the fastest-growing enterprise software companies globally. Partner One is looking for an Investment Associate to join the team. This is a full-time, permanent role. The Investment Analyst will be part of the Mergers and Acquisitions team and will be responsible for supporting activities related to due diligence and the execution of acquisitions. Responsibilities Conduct overview and analysis of commercial and financial data of acquisition targets. Formulate and present the assessment of the acquisition targets’ initial fit. Conduct market research to understand industry trends and recognize new acquisition opportunities. Identify software businesses that meet our acquisition criteria and metrics, and move opportunities through the deal cycle. Support the M&A team with various ad hoc tasks related to the closing of live deals. Collaborate and coordinate with cross-functional teams on data requests, information sharing, project team meetings, and deal execution. Requirements Between 3 and 7 years of experience in one or more of the following areas is required: Transaction advisory services, including Quality of Earnings and Quality of Revenue engagements Buy-side financial due diligence advisory Public accounting / external audit serving technology or software companies Corporate development, FP&A, or finance at software or SaaS businesses Revenue accounting and operations at software or SaaS businesses Controllership / accounting operations at software or SaaS businesses Business operations or strategic finance at software or SaaS businesses Strong experience analyzing and evaluating software and SaaS companies Working knowledge of US GAAP and IFRS accounting standards and policies. Demonstrated strong academic performance at a top-tier institution. Degree in Finance, Accounting, or a related business field; CPA or CFA track is a significant plus. Maturity and presence to interact effectively with C-level executives. Self-starter with strong sales and communication skills. Strong command of written and spoken English. Strong analytical and Microsoft Suite skills, with a high attention to detail.

Location: Remote Workplace: Remote Phantom https://phantom.com is on a mission to connect the world to the freedom of open markets. Tens of millions of people all over the world use Phantom to access global markets that never close, including perpetuals, prediction markets, tokenized assets, stablecoins and memes. Phantom users are able to discover the markets that matter and the cultural moments that shape them, building conviction through real-time data and the verified performance of top traders. With self-custody and access to open networks at its core, Phantom lets them control their financial moves in the same app they use to safely store or spend money worldwide. Phantom has reached #1 in Google Play's finance category and consistently ranks in the top 50 apps across all categories. Check out our Forbes Fintech 50 https://www.forbes.com/sites/ninabambysheva/2026/02/23/inside-phantoms-battle-plan-to-win-the-crypto-fueled-superapp-war/ and CNBC and Statista's World's Top Fintech Companies 2026 https://www.cnbc.com/worlds-top-fintech-companies-2026/! We are around 180 people, fully remote, backed by a $150M Series C investment from a16z, Sequoia Capital and Paradigm. Our most active users deserve a relationship with Phantom, not a ticket queue. We are launching an invite only VIP program in app messaging with a real person, enhanced support, and exclusive experiences. You will be its first dedicated hire. As a VIP Account Manager, you are the first point of contact for VIP members inside the app. You will own these relationships end to end: welcoming new members, resolving issues personally, pulling in support and engineering when a case needs them, and staying with it until it is closed. You will help shape the playbook for the team we build around you as the program scales toward round the clock coverage. You will work closely with the VIP program lead, support, marketing, product, and design. RESPONSIBILITIES - Be the personal, named contact for VIP members in our in-app messaging hub - Own member relationships end to end: onboarding and welcome, proactive check-ins, and follow through on every issue until it is resolved. - Handle high stakes situations such as compromised wallets, missing funds, and large transactions with urgency, precision, and discretion. - Triage and escalate: bring in support agents, engineering, or leadership when a case warrants it, and own the communication back to the member. - Meet members where they are: in-app chat first, plus email, X, Telegram, and Discord. - Coordinate the moments beyond support: welcome gifts, event experiences, and early access to new features. - Turn conversations into leverage: channel member feedback to product, build playbooks, and help define the response time and satisfaction standards for the VIP team. - Help design and scale the program from a small founding cohort to thousands of members, and eventually 24/7 coverage. QUALIFICATIONS - 4+ years in premium or VIP support, account management, or customer success, ideally at a sports betting platform, crypto exchange, wallet, brokerage, or fintech app. - Deep crypto fluency: you understand self custody and can navigate multiple chains, reading a block explorer, tracing a transaction, and telling an L2 gas issue apart from a bug. - Exceptional written communication: warm, concise, and human, even under pressure. - Absolute discretion: for high value users, privacy and trust are the product. - Security first instincts: you know the social engineering patterns targeting crypto users, and you would never ask anyone for a seed phrase. - Comfort with ambiguity and ownership: you are the first hire in a new function and will build much of the process yourself. - Time zone flexibility: our members are global and markets do not close, so some evening and weekend availability is part of the job. - Nice to have: experience serving high net worth clients at an exchange or brokerage. - Nice to have: hands on experience with Zendesk and AI support tooling. - Nice to have: fluency in more than one language, or an active Phantom user with real on chain history. The target base salary for this role will range between $75,000 to $100,000 with the addition of equity and benefits. This is determined by a few factors including your skillset, prior relevant experience, quality of interviews and market factors at the point in time of offer.   Why Work With Us Phantom's journey to becoming a global trading app began with making crypto easier to use. Today, we’re building on that foundation to help people discover the markets that matter, make informed financial moves, and safely store or spend their money worldwide. Joining Phantom means helping shape that next chapter: building products that bring the freedom of open markets to more people.   - Build for global impact: Create products used by tens of millions of people, making innovative financial markets more accessible to users around the world. - Make complexity feel simple: Solve meaningful challenges across design, engineering, and user experience to make discovering markets and managing money seamless. - Put users in control: Help build a future where people have greater freedom over their assets and financial decisions, with security and self-custody at the foundation. Benefits (only available to full-time employees) - Competitive salary and equity - Comprehensive insurance (medical/dental/vision): base plan 100% covered - Flexible hours and a long-standing, supportive remote environment - Unlimited vacation: Take time when you need it (and we really mean it!) - 401(k) retirement plan - Wellness stipend - Weekly meal stipend - Learning & Development stipend - Remote / WFH set-up stipend We strongly encourage candidates of all backgrounds to apply. We believe that our work is stronger with a variety of perspectives, and we’re eager to further diversify our company. If you have a background that you feel would make an impact at Phantom, please consider applying. We’re committed to building an inclusive, supportive place for you to do the best work of your career. By submitting your resume and application materials, you acknowledge and agree that Phantom Technologies, Inc. ("Phantom") collects and processes your personal information (including application materials, interview records, and related data) to evaluate your candidacy. Phantom may use AI-powered tools and third-party service providers for transcription, note-taking, scheduling, and other administrative tasks. Phantom does not sell your information and your materials will be handled securely and in accordance with applicable data protection laws.

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.   WHAT THIS ROLE MEANS AT HIGGSFIELD Right now we treat 25M+ people as one user. The same paywall, the same discount, the same lifecycle email, the same retention effort. And we mostly conclude that a campaign worked by looking at what the people we sent it to did next — which is not the same thing. This role makes the company act per user, and know what that action was worth. You own both halves of that: the models that decide who we aim at, and the causal reads that say whether it landed. Who is about to leave. Who will come back on their own without us spending anything. Whose decision a discount actually changes. And what a payer is worth over their life, once the discount, the refunds and the compute they consume are all inside the number. You make sure: - Discounts and credit vouchers go to the people whose behaviour they change, and nowhere else - We know who is about to churn early enough to do something about it — and we know whether the something worked - Lifetime value is a number we can defend by cohort, by plan and by the discount a cohort was acquired on, not one blended average that hides all three - Every model and every campaign has a holdout behind it, so we can always state what it is worth in money WHAT YOU WILL DO Churn, retention & lifecycle propensity - Build churn and downgrade prediction for subscribers, and repeat-purchase propensity for one-time credit-pack buyers — two different machines, not one model with a flag on it. - Know the difference between a model that predicts churn and a model that reduces it. AUC earned by detecting users who already stopped using the product is worth nothing. - Hunt leakage relentlessly. Cancellation-adjacent features will hand you a beautiful offline number and a useless system. - Pair every score with an intervention and a holdout. The deliverable is a retained user, not a ranked list. Uplift modelling & offer targeting - Own incrementality on everything we aim at a user: discounts, credit vouchers, trials, upgrade prompts, win-back campaigns, retention saves. - Model uplift, not propensity.Targeting the users most likely to convert spends margin on people who were going to convert anyway; the entire value of this work is finding the users whose decision the offer changes. - Design the randomized holdouts that make uplift trainable and measurable in the first place, and keep them running permanently — including the ones marketing will ask you to switch off. - Respect the guardrails. An offer model optimizing conversion alone will happily find the accounts that convert at negative gross margin, and it will find the abuse rings first. Margin and abuse signals are constraints on the objective, not a later cleanup. - Work with Legal on what may be personalized. Personalized pricing and discounting touches consumer-protection and consent rules in several of our markets — you should want that conversation, not route around it. Lifetime value & payer economics - Own LTV: cohort-based, censored honestly, stated on contribution margin rather than gross revenue, and split by plan, segment and acquisition discount. - Model the parts that actually move it — refunds and chargebacks, credit breakage and expiry, plan migration and downgrades, and the compute an unlimited plan consumes. - Make it a decision input, not a slide: what we can pay for a user, which discount depth pays back, which plan we should stop selling. - Keep it current and versioned. A stale LTV curve is worse than no curve, because people act on it. Experimentation & causal measurement - Design and read the experiments behind pricing, packaging, offers and lifecycle — with the product analytics team, not in parallel to it. - Reach for the right tool when a clean experiment is impossible: difference-in-differences, matching, switchback and geo tests, synthetic control — and name the assumption each one is buying. - Separate "users who do X retain better" from "making users do X improves retention." Every time, out loud. - Kill your own results. A finding that doesn't survive a second look should die at your hands, not in a board deck. How we ship - Own the work end to end: framing the decision, features, training, evaluation, the scored audience landing in the tool that sends the offer, monitoring, retraining. - Models ship as batch scores and policy rules into lifecycle tooling, the paywall and pricing — plus the readout that says what they earned. There is no real-time serving stack to babysit. - Monitor for drift. New model launches, price changes, discount campaigns and seasonality all move the ground under a deployed score. - Write down what each model is worth, in money, and keep that number current. WHO WE'RE LOOKING FOR - Experience shipping models that changed what the business did to real users— a targeted campaign, a pricing rule, a retention programme. Notebooks and offline benchmarks are not this. - Depth in at least two of: churn and propensity modelling, uplift & causal ML, LTV and subscription economics, experimentation at scale. - Genuine causal literacy: randomized holdouts, incrementality, Qini and uplift curves, selection effects, and why a lift measured before-and-after is usually not a lift. - Strong SQL and Python: cohorts, funnels and retention on raw event data without help; gradient boosting; and the boring parts — feature pipelines, retraining cadence, a scoring job that runs on a schedule and doesn't rot. - Understanding of subscription plus one-time purchase mechanics: recurring vs one-off revenue, refunds, plan changes, the deferred value of unspent credits, and why revenue and margin disagree about the same customer. - Commercial judgment: you name the decision and the metric before you pick the model, and you know when the answer is a rule rather than a model. - Pragmatism. A segment rule shipped this month that lifts retention beats a two-quarter uplift platform. Then you replace the rule. - Clear written and spoken English, B2+. Backgrounds that often do well: - Growth, retention or monetization data scientists from subscription, gaming, fintech or e-commerce — anywhere offers and churn are modelled with real money attached - CRM and lifecycle data scientists who owned campaign targetingandits incrementality - Causal inference and uplift specialists who ship policies rather than papers - Strong product analysts who moved into modelling and kept the decision instinct WHAT THIS ROLE IS NOT This role is not a fit if you: - Want to train or fine-tune generative video models — that's what our R&D ML Engineer roles do, and they're open - Want to own a recommender or a serving stack — ranking is not in this role's scope today - Would target an offer at the users most likely to buy and call it personalization - Report a lift from a before-and-after comparison, or from comparing the users you targeted to everyone you didn't - Optimize AUC and hand the score to someone else to work out what to do with it - Need clean labelled data, a feature store and an experimentation platform to exist before you can start - Want predictable 9–5 workdays HIRING PROCESS We move fast: - Screening call (30 min) - Technical interview & case study (1 hour) - Practical home task (7 days) - Team interview (60 min) - Paid on-site trial (1 month) WHAT WE OFFER - Competitive base salary in USD, based on your experience, skills, and the scope of the role. - Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth. - Relocation support to Almaty for candidates moving from another city or country. - A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company. - Opportunities for professional growth, ownership, and career development as the company scales. - Company-provided equipment, meals, transportation, or other office benefits.

Location: Rwanda About GiveDirectly What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need? Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid. Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question: is this doing more good than giving the money directly to people living in poverty? We’re growing fast, and this is a rare and important moment to join. We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress. How we work Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated: Recipients first. Recipients’ preferences come before those of donors or ourselves. Team next. We optimize for organizational success, not individual success. Be proactively candid. We say what we believe and share information openly. Create positive energy. We aim to be a source of energy for colleagues, not a drain. Think rigorously; act quickly. We reason from first principles, then act rather than debate. Know yourself and grow. We own our imperfections and seek feedback to grow. Accept reality. Propose solutions. We focus on what can change and bring solutions, not just problems. Be productively ambitious. We take risks for step-change impact, not incremental progress. If they describe how you like to work and they energize you, this could be a great fit. Want to learn more? Read and listen: We are one of Time100’s Most Influential Companies of 2026, and our work has been covered by The Economist , NPR , TED , and The Washington Post . We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows. Read our CEO's essay on what that will take. HR Manager Operational HR, Talent, Learning & Employee Experience Role Purpose The HR Manager leads the day-to-day delivery of People and Culture activities, with primary responsibility for recruitment, onboarding, learning and development, employee engagement, performance-cycle coordination, and HR administration. The role partners with managers, country leadership, and the Global People team to deliver consistent, employee-centered HR practices and smooth, compliant HR operations. Recruitment & Talent Acquisition Manage end-to-end recruitment for country roles, including workforce requisition coordination, job postings, sourcing, screening, interview processes, reference checks, offers, and candidate communication. Partner with hiring managers to clarify role requirements, selection criteria, interview plans, and recruitment timelines. Build and maintain effective sourcing channels, including recruitment firms, professional networks, and employee referrals. Ensure recruitment processes are fair, consistent, well documented, and aligned with GiveDirectly standards and local requirements. Track recruitment metrics such as time-to-hire, pipeline health, offer acceptance, and hiring outcomes, and recommend process improvements. Support employer-branding and talent-pipeline initiatives, particularly for recurring or high-volume roles. Onboarding, Learning & Development Coordinate country onboarding and induction, ensuring new hires receive a consistent and high-quality introduction to GiveDirectly, their role, policies, systems, and culture. Coordinate local learning and development initiatives in partnership with the country leadership and Global People Team. Maintain training calendars, participation records, learning needs, and follow-up actions. Support managers with practical guidance on employee development, performance improvement plans, career conversations, and people-management practices. Gather feedback and monitor the effectiveness of onboarding and learning activities, sharing insights and recommendations with the management team. Culture, Employee Engagement & Well-being Support a strong, values-driven culture by embedding GiveDirectly values in employee communications, people processes, and staff initiatives. Coordinate employee engagement activities, including surveys, recognition initiatives, well-being activities, team events, and follow-up actions. Serve as an accessible first point of contact for routine employee relations questions and workplace concerns, resolving straightforward matters and escalating sensitive or complex cases appropriately. Monitor employee feedback and emerging morale or engagement issues and flag risks to the management team. Performance Management & Offboarding Coordinate country performance-management cycles, including communications, timelines, completion tracking, documentation, and reporting. Support managers and employees with process guidance and escalate complex performance cases when required. Manage routine offboarding processes, including resignations, end-of-contract processes, exit interviews, clearance coordination, and final documentation. Track turnover, exit feedback, and recurring employee themes and prepare insights for HR and country leadership. HR Operations & Administration Manage day-to-day HR administration, including employee records, contracts, contract renewals, leave records, personnel files, and HR system updates such as BambooHR. Maintain accurate employee data and ensure HR documentation is complete, current, confidential, and audit-ready. Coordinate benefits enrollment and routine benefits administration, responding to employee queries and liaising with providers as needed. Manage work permits, visas, and other employment-related documentation in line with local requirements. Respond to employee HR queries promptly and ensure policies, procedures, and process changes are clearly communicated. Apply HR policies consistently in routine cases and escalate complex legal, disciplinary, compensation, or policy interpretation matters. HR Reporting & Process Improvement Prepare regular HR reports and dashboards covering headcount, recruitment, turnover, leave, performance-cycle completion, learning, and other key people metrics. Identify recurring administrative issues and recommend practical improvements to HR processes, templates, workflows, and employee experience. Support audits, data requests, and HR projects by providing accurate records and timely follow-up. Requirements: Bachelor’s degree in Human Resources, Business Administration, Management, or a related field. 4+ years of progressive HR experience, with strong hands-on employee relations experience, including handling workplace concerns, performance issues, conflict resolution and advising managers. Good knowledge of local labor laws and HR best practices, with the ability to apply policies fairly and consistently. Experience across core HR functions, particularly recruitment, performance management, learning and development, employee engagement, and HR administration. Strong interpersonal and communication skills, with the judgment and discretion to handle sensitive and confidential employee matters. Strong organizational skills and ability to manage multiple priorities in a fast-paced, evolving environment. Experience using HR systems such as BambooHR, Payspace, or similar HRIS platforms is an advantage. Exceptional alignment with GiveDirectly values Working at GiveDirectly GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Flagging for US applicants: We invite you to " Know Your Rights " as an applicant. Commitment to Safeguarding As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the Misconduct Disclosure Scheme , and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens. These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff. **GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing,  reporting, or responding to any form of abuse or  exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.** Reasonable Accommodations We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs. Want to put your best foot forward on your GiveDirectly application? Take a look at our Candidate Application Prep Guide ! Referrals Know the right person for this role? Please consider referring them . We offer a reward of $3,000 for a Senior Manager or above role, and $500 for a Manager role, paid if we end up hiring your referral. Thank you for sending great people our way!

Location: Zürich, CH 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 Team The Security team protects Anthropic's AI systems and maintains the trust of our users and society. About the Role At Anthropic, we are pioneering new frontiers in AI that have the potential to greatly benefit society. However, developing advanced AI also comes with risks if not properly safeguarded. As a Research Engineer, you'll help to safely advance the capabilities of our models in incident response, security analysis, vulnerability remediation, and other areas of defensive cybersecurity. This role blends research and engineering, requiring you to both develop novel approaches and realize them in code. Your work will include designing and implementing RL environments, conducting experiments and evaluations, delivering your work into production training runs, and collaborating with other researchers, engineers, and cybersecurity specialists across and outside Anthropic. This role requires ML experience combined with domain expertise in cybersecurity. You might be an ML researcher with a history of cybersecurity work, or a security professional with a background in ML. Responsibilities Partner with researchers and safety teams across Anthropic to understand their analytical needs and build solutions Develop agentic integrations that allow AI systems to autonomously investigate and act on analytical findings Contribute to the strategic direction of the team, including decisions about what to build, what to partner on, and where to invest This role may require participation in an on-call rotation. You may be a good fit if you Have experience with machine learning. Have experience in cybersecurity research. Have strong software engineering skills. Can balance research exploration with engineering implementation. Are passionate about AI's potential and committed to developing safe and beneficial systems. Strong candidates may also have Professional experience in security engineering, fuzzing, detection and response, or other applied defensive work. Experience participating in or building CTF competitions and cyber ranges. Academic research experience in cybersecurity or other experimental & research background. Familiarity with RL techniques and environments. Familiarity with LLM training methodologies. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Singapore Workplace: Hybrid About Cantina Cantina Labs is a social AI company developing a suite of advanced video generation models. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning. About the Internship Cantina is growing its research lab in Singapore, and we are looking for exceptional research interns to work with us on the next generation of video models in October 2026. This is a three month onsite internship designed to give you meaningful ownership of a well-defined research or engineering problem. You will be matched with a project based on your background and interests, working closely with a senior mentor from initial problem formulation through experimentation, evaluation, and, where appropriate, submission to a leading AI conference. Projects may focus on post-training and inference efficiency for video generation models, reward modeling and preference-based optimization multimodal data systems, or scalable infrastructure for video model training. The primary focus will be your core project, with opportunities to contribute to applied or product-adjacent work where relevant. What You’ll Work On Depending on your project, you may: - Research and develop distillation methods for large-scale diffusion and flow-based video generation models, including guidance and adversarial distillation - Explore techniques that reduce inference cost while preserving or improving generation quality - Develop reward models and preference-based optimization methods to improve aesthetics, motion quality, temporal consistency, and prompt adherence - Study how base-model behavior affects post-training outcomes and use experimental findings to inform model development - Design rigorous evaluations and conduct large-scale experiments on generative video models - Contribute to evaluation harnesses, model integrations, research tooling, or other product-adjacent projects related to your core work - Document and communicate your findings through research reports, internal presentations, demonstrations, and potential conference submissions You may be a good fit if you - Are currently pursuing a PhD or are a final-year master’s student in computer science, machine learning, computer vision, or a related field - Have research experience in generative modeling, computer vision, multimodal learning, or video generation - Have hands on experience with diffusion models, flow-based models, model distillation, reinforcement learning, preference optimization, or related post-training techniques - Can formulate hypotheses, design controlled experiments, analyze results, and communicate conclusions clearly - Are proficient in Python and have hands-on experience with PyTorch, JAX, or another modern machine learning framework - Are comfortable working independently on an open-ended research problem while collaborating closely with a mentor and the broader team Experience with video, image, audio, or other multimodal data is valuable. Publications at leading venues such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, or AAAI are a plus, but are not required. We care most about the quality of your thinking, the depth of your technical work, and your ability to learn quickly. What You Can Expect - A defined project and named senior mentor before your first day - Weekly one-on-one meetings and clear project milestones - A meaningful compute allocation for your research - The opportunity to own a complete research or engineering result - First-author positioning by default where your contribution supports a publication - Timely internal review of research intended for submission - Support for conference travel if your paper is accepted - Opportunities to demonstrate your work and receive credit for product contributions - A competitive monthly stipend - Visa and travel support for eligible international candidates - Housing support for qualifying international interns in Singapore - Equipment and resources needed to complete your work Internship Details - Location: Singapore - Duration: Three months - Working model: Onsite - Start dates: First batch starts in October 2026, second batch starts in January 2027

Location: Singapore Workplace: Hybrid About Cantina Cantina Labs is a social AI company developing a suite of advanced video generation models. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning. About the Internship Cantina is growing its research lab in Singapore, and we are looking for exceptional machine learning interns to work with us on the next generation of video models in October 2026. This is a three month onsite internship designed to give you meaningful ownership of a well-defined research or engineering problem. You will be matched with a project based on your background and interests, working closely with a senior mentor from initial problem formulation through experimentation, evaluation, and, where appropriate, submission to a leading AI conference. Projects may focus on post-training and inference efficiency for video generation models, reward modeling and preference-based optimization, multimodal data systems, or scalable infrastructure for video model training. The primary focus will be your core project, with opportunities to contribute to applied or product-adjacent work where relevant. What You’ll Work On Depending on your project, you may: - Develop reward models to improve aesthetics, motion quality, temporal consistency, and prompt adherence - Study how base-model behavior affects post-training outcomes and use experimental findings to inform model development - Design rigorous evaluations and conduct large-scale experiments on generative video models - Build systems for ingesting, preprocessing, curating, and delivering large-scale video datasets - Develop distributed pipelines for dataset generation, deduplication, preprocessing, and repeated dataset refreshes - Improve the reliability, reproducibility, and efficiency of data and model-training workflows - Build tooling for video and multimodal data using technologies such as FFmpeg, PyAV, DALI, or OpenCV - Contribute to evaluation harnesses, model integrations, research tooling, or other product-adjacent projects related to your core work - Document and communicate your findings through research reports, internal presentations, demonstrations, and potential conference submissions You may be a good fit if you - Are pursuing a bachelor’s or master’s degree in computer science, engineering, machine learning, or a related field - Have experience building data pipelines, ML infrastructure, or distributed systems through research, coursework, open-source contributions, or previous internships - Are familiar with tools such as Ray, PySpark, Airflow, Docker, Kubernetes, or equivalent technologies - Have worked with cloud storage or compute platforms such as AWS, Google Cloud, or Azure - Understand practical considerations around data throughput, storage layout, caching, monitoring, and failure recovery - Are proficient in Python and interested in building reliable systems for large-scale machine learning Experience with video, image, audio, or other multimodal data is valuable. Publications at leading venues such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, or AAAI are a plus, but are not required. We care most about the quality of your thinking, the depth of your technical work, and your ability to learn quickly. What You Can Expect - A defined project and named senior mentor before your first day - Weekly one-on-one meetings and clear project milestones - A meaningful compute allocation for your research - The opportunity to own a complete research or engineering result - First-author positioning by default where your contribution supports a publication - Timely internal review of research intended for submission - Support for conference travel if your paper is accepted - Opportunities to demonstrate your work and receive credit for product contributions - A competitive monthly stipend - Visa and travel support for eligible international candidates - Housing support for qualifying international interns in Singapore - Equipment and resources needed to complete your work Internship Details - Location: Singapore - Duration: Three months - Working model: Onsite - Start dates: Start dates: First batch starts in October 2026; second batch starts in January 2027

Location: Singapore Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU’LL DO - Design and deliver production-grade AI agents https://sierra.ai/blog/meet-the-ai-agent-engineer: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. - Drive the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way. - Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups in Silicon Valley, embedding AI agents across their entire business stack to drive innovation and efficiency. - Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product. EXAMPLE PROJECTS These are some examples of projects that engineers on our team have worked on recently: - Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churn - Develop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations - Create generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services! - Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent development - Experiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customers WHAT YOU'LL BRING - Experience building and scaling end-to-end production systems - Strong technical problem-solving skills, especially in fast-changing, ambiguous environments - A builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and ship - Comfort working directly with customers to understand their needs and solve real-world problems - Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences EVEN BETTER... - Experience building or deploying AI/LLM systems in production - Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed - Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering - Prior experience with React, TypeScript, and/or Go - Previous roles where you interfaced with customers or led technical projects with external stakeholders OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: Malaysia; Philippines; Indonesia; Singapore Intellect is a global leader in mental health benefits, trusted by the world’s most forward-thinking employers, insurers, and governments to deliver care that is local, personalised, and effective at scale. Today, we serve over 4 million people across 100+ countries and territories, making mental health support truly accessible across borders and cultures. Our platform powers the mental wellbeing of workforces at Fortune 500 companies like Dell, Bytedance, Visa, Shell, McDonald’s, and hundreds more, enabling them to support their people with the highest standards of clinical quality, cultural relevance, and on-demand accessibility. Driven by our mission to build the world’s most trusted mental health benefits platform, Intellect combines a best-in-class digital platform with a world-leading global provider network to deliver unmatched client outcomes and transformative care experiences. We are backed by top global investors including Tiger Global, Y Combinator, Insignia Ventures Partners, HOF Capital, K3 Ventures, JAFCO, Headline, East Ventures, IHH Healthcare, MS&AD Ventures, and more, alongside an extensive coalition of notable family offices, big tech executives, and leading angel investors. The Role We’re looking for a product and content marketer to sharpen how Intellect competes, communicate the value of our solutions and turn that understanding into content that helps buyers choose us and clients get more from our offering. Product marketing is at the centre of this role. You’ll build buyer and competitive insight, own positioning and messaging, and lead marketing planning for priority solution launches. Your remit spans Intellect’s digital products, care services and enterprise solutions. You’ll also personally create the content that brings our positioning to life - from sales materials and customer stories to white papers, thought leadership and client communications. Working with our Clinical team, you’ll draw on research, evidence and subject-matter expertise to build credible, differentiated narratives. You’ll help strengthen Intellect’s brand, organic visibility and customer engagement through a focused, coordinated marketing plan. Working directly with B2B marketing, sales, client success, product and clinical teams, you’ll have meaningful ownership of both the thinking and the execution. This is a hands-on individual contributor role. We’re open to hiring at Specialist or Manager level, depending on your experience and demonstrated ability to independently own and deliver this work. Your Responsibilities Product Marketing & Go-to-Market Build buyer and competitive insight through customer conversations, sales feedback and reviews of won and lost opportunities, identifying buying priorities, objections and reasons to choose Intellect. Own positioning, differentiation and value propositions across Intellect’s solutions, tailoring messaging to priority buyer segments and markets. Lead marketing planning for priority solution launches and updates, defining target audiences, messaging, supporting evidence and sales readiness, with B2B marketing owning acquisition campaign execution. Bring customer and market insights into discussions with product, clinical and commercial teams to inform how solutions are developed, packaged and communicated. Commercial Content & Sales Enablement Personally research, write and edit compelling sales decks, solution materials, customer stories, case studies and campaign content. Identify barriers to purchase with sales and develop messaging, objection-handling resources and competitive positioning materials that help address them. Partner with the Clinical team to translate research findings, clinical expertise and customer outcomes into clear, credible evidence that helps buyers evaluate Intellect and supports renewal and expansion conversations. Keep core materials current and easy to use, assessing their usefulness through adoption, sales feedback and buyer responses. Website, SEO & AI Search Visibility Own core website content and routine CMS updates, ensuring our solutions, differentiation and customer evidence are clearly presented. Improve organic discovery through search-informed content and practical on-page SEO, prioritising relevant audiences and commercial intent. Test approaches to improve visibility in AI-powered search and answer platforms, building on useful, authoritative content and sound SEO foundations. Use search and content performance to prioritise improvements, working with B2B marketing on conversion and specialists on technical changes. Brand Communications, Thought Leadership & PR Maintain a consistent voice and narrative across Intellect’s public and client-facing communications. Collaborate with the Clinical team on research-led content and white papers, bringing buyer-relevant questions into topic planning and turning findings and subject-matter expertise into accessible narratives, with clinical review for accuracy. Develop thought leadership, articles and executive content that connect Intellect’s expertise and perspectives to the issues facing employers and their people. Own a focused editorial calendar for organic social and ongoing brand communications, coordinating creative support through to publication. Develop company announcements, press materials and story angles; coordinate leadership approvals, routine media enquiries and outreach with specialist PR support where needed. Customer Marketing & Lifecycle Communications Plan and execute repeatable client programmes, including onboarding communications, newsletters, solution education and engagement journeys. Personally manage client audience segments, email distribution and straightforward CRM workflows, coordinating targeting and timing with client success. Develop communications that demonstrate ongoing value and introduce relevant additional services, supporting engagement, renewal and expansion. Equip client success with reusable templates and materials for account-specific deployment. Planning & Effectiveness Translate business priorities into a focused plan, protecting time for positioning, launches and commercial content alongside recurring communications. Assess effectiveness through sales adoption, buyer feedback, relevant search visibility, customer engagement and contribution to commercial programmes. Build reusable assets and workflows, using AI and other tools to improve execution while maintaining accuracy, originality and editorial quality. Requirements Strong in product-marketing judgement. You can demonstrate how you have shaped positioning, messaging or a go-to-market approach using buyer insight, and explain the decisions behind your work. An excellent hands-on writer and editor. You can turn complex products and services into clear, persuasive content, with work samples that show both your thinking and your personal contribution. Commercially minded. You understand how enterprise buyers evaluate solutions and can connect your work to buying decisions, sales effectiveness and customer value. An independent owner. You can identify gaps, propose priorities, gather inputs and deliver work without needing every step prescribed. You make sensible trade-offs and know when to seek input. Comfortable with website publishing and SEO. You can manage content through a CMS, apply on-page SEO fundamentals and use data to improve performance. You’re curious and practical about emerging AI search opportunities. Able to execute customer marketing. You can use CRM and email tools to segment audiences, run communications and build straightforward lifecycle workflows. Confident working with experts and evidence. You can draw useful insights from specialists and research, communicate findings accurately and distinguish supported claims from overstatement. You do not need a clinical background, but should be comfortable learning complex subject matter. Organised and collaborative. You work effectively with commercial teams, product and clinical experts, leadership and creative partners, managing competing priorities with sound judgement. Motivated by the mission. You’re excited to make mental healthcare easier to understand and access, and connect strong product marketing and storytelling with meaningful business growth. Open to candidates in Malaysia (hybrid), Singapore (hybrid), Philippines (remote) and Indonesia (remote) We value demonstrated ownership and work quality over a particular title or rigid years-of-experience requirement. Experience with enterprise audiences, multiple markets, healthcare, employee benefits, HR technology or complex services would be an advantage. Experience in research-led content, PR, executive communications or AI search optimisation (GEO/AEO) is also welcome. Benefits Why You’ll Love Working With Us: Global company – work in a diverse environment with people from nearly 20 countries Generous leave policy – time off to rest and recharge Christmas week off – company-wide break during Christmas, separate from annual leave Birthday leave – enjoy a day off on your birthday Quarterly mental health days – one day off every quarter to focus on your wellbeing Flexible work arrangements – work in a way that suits your lifestyle and goals Work-life balance – a culture that values personal time and long-term wellness Medical coverage – comprehensive insurance for peace of mind Performance bonus – high performance is recognised and rewarded Development budget - annual allowance to support your professional development Mental health support – premium coaching access to our mental health app and resources & dedicated budget for clinical and psychiatric care Socials and communities – regular non-work events/activities to connect and have fun together

Location: Poland Imagine a traveler browsing a hotel page on Zenhotels or a travel agent evaluating options on RateHawk. They see room names, photos, amenities, policies, and reviews, all combined from dozens of suppliers, each with different formats, inconsistencies, and levels of completeness. Behind this experience lies a complex content pipeline: fragmented supplier data must be matched, standardized, enriched, and ranked to create a coherent and trustworthy representation of a hotel and its rooms. The Senior Product Manager for Content owns this layer of transformation, ensuring that raw supplier data becomes structured, high-quality, and decision-ready content that improves conversion, reduces user friction, and enables scalable global growth. Key Responsibilities Strategic Product Management for Content Value Stream: Define and own the Content team's strategy, vision, and roadmap across all ETG products to deliver measurable business impact and user value. Own the end-to-end content processing pipeline: Supplier data → Matching → Enrichment → Rates processing → User experience. Drive stakeholder management across Product, Engineering, Commercial, and Operations teams, aligning priorities, resolving conflicts, and ensuring consistent execution against shared goals. Product Discovery & Impact Ownership: Own a continuous pipeline of product opportunities, driving measurable revenue growth, based on funnel data, content gaps, and user friction. Leverage quantitative data and user research (interviews, usability tests, behavioral analysis) to identify root causes and high-impact problems. Size and prioritize opportunities, focusing on high-leverage bets. Delivery & Development Management: Partner with Development and ML/DS Team Lead to prioritize roadmap and manage backlog. Co-own delivery execution: define clear scope and acceptance criteria, ensure alignment across product, engineering, ML, and analytics. Drive predictable delivery: commit to timelines, proactively manage risks, dependencies, and trade-offs. Remove blockers and align cross-team dependencies to maintain delivery velocity. Team Leadership: Manage Product Manager and Operations Manager, ensuring strong ownership, execution quality, and alignment with business goals. Set clear goals and success metrics (FNBC, content quality, coverage, efficiency) and hold the team accountable for results. Drive performance management: regular feedback, performance reviews, addressing underperformance, and developing team members’ skills and career growth. Requirements 5+ years in Product Management (preferably travel, marketplace, or content-heavy products). Experience with data pipelines, content systems, or ML-driven products. Strong analytical skills (SQL, AB tests, metric design). Experience working with structured/unstructured data and large-scale systems. Bachelor’s in Computer Science, Engineering, or related field. Benefits Flexible schedules and opportunity to work remotely. Ambitious and supportive team who love what they do, appreciate each other, and grow together. Internal programs for adaptation and training, development of soft skills, and leadership abilities. Partial compensation for participating in external training and conferences. Corporate English school: Group and individual lessons, speaking clubs with colleagues from all over the world. Corporate prices on hotels and travel services. MyTime Day Off - an extra non-working day without loss of compensation. Learn more about our data protection practices in our Privacy Policy: https://www.emergingtravel.com/career/hr-policy/

Location: Canada; Brazil; Ireland; Cyprus; Portugal; Poland; United Kingdom Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.   THE OPPORTUNITY We are seeking a highly skilled Sr. Manager, Model Risk Management to join our team, focusing on Transaction Monitoring and Customer Risk Assessments models for Anti-Money Laundering (AML) and Combating the Financing of Terrorism (CFT) purposes. The successful candidate will be responsible for ensuring that our Transaction Monitoring, Customer Risk Assessment and Screening models are robust, effective, and compliant with regulatory requirements. - Model Validation: perform independent validation of Transaction Monitoring / Customer Risk Assessment / Screening models, AI models (built in Claude or ChatGPT), including but not limited to: - Reviewing model pre & post development documentation, data quality, accuracy, access and testing methodologies. - Assessing model performance, accuracy, and stability. - Evaluating model risk and identifying potential biases. - Reviewing AI Models for AML/CFT Program - AML/CFT Regulatory Compliance: ensure that Transaction Monitoring and Customer Risk Assessment models comply with relevant AML/CFT regulations, including but not limited to: - EU AML/CFT Directives. - US BSA/AML regulations. - FATF recommendations. - Risk Assessment: conduct risk assessments to identify potential AML/CFT risks associated with Transaction Monitoring and Customer Risk Assessment models, including but not limited to: - Identifying higher-risk customer segments, products, and geographies. - Assessing the effectiveness of controls and mitigants. - Model Monitoring and Maintenance: develop and implement procedures for ongoing model monitoring and maintenance, including but not limited to: - Annual reporting & certification - Tracking model performance and identifying degradation. - Conducting regular model reviews and updates. - Collaboration and Communication: collaborate with various stakeholders, including but not limited to: - Model Engineering and owners. - AML/CFT subject matter experts. - Business units and risk management teams. - Documentation and Reporting: prepare and maintain high-quality documentation, including but not limited to: - Model validation reports. - Risk assessments. - Regulatory compliance reports. - Methodology Development: contribute to the development and maintenance of model validation methodologies, including but not limited to: - Developing and refining model validation frameworks. - Identifying best practices and industry standards.   WHAT YOU BRING - Bachelor's degree in a quantitative field (e.g., mathematics, statistics, computer science, engineering). - 5+ years of experience in model validation, risk management, or a related field, preferably in AML/CFT. - Understanding of international Model Risk Management rules and regulations, such as OCC SR 11-7. - Strong understanding of machine learning and statistical modeling techniques. - Deep understanding of fiat and crypto payment flows - Proficiency in programming languages (e.g., Python, R, SQL). - Experience with data visualization tools (e.g., Tableau, Power BI). - Strong understanding of financial markets, products, and services. - Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders. NICE TO HAVES - Professional certifications (e.g., FRM, CDA, CAP). - Experience with AML/CFT transaction monitoring and Customer Risk Assessment systems - Knowledge of cloud-based technologies. - Experience with agile development methodologies.     Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: London Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU'LL DO As an Agent Strategist https://sierra.ai/blog/agent-strategist-your-phd-in-applied-ai, you own how Sierra's AI agents come to life for our customers — from first pilot to a production agent handling thousands of conversations a day. You sit at the intersection of product, building agents and customer-facing work, and stay just as close to the technology as you are to the people you build for. You transform a customer's thorniest, highest-stakes problems into agents that measurably move their business. - Own the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle. Take agents from initial scope through conversation design, tooling, and evaluation, to launch and continuous iteration in production — translating business goals into an agent that outperforms, and tuning relentlessly until it's the best version of itself in the real world. You'll have real ownership and autonomy over the outcome. - Be the trusted strategic advisor to enterprise leaders. Sit shoulder-to-shoulder with our customers' executives, understand what success actually means to their business, and shape the AI strategy that gets them there. - Partner with the customer's working teams day to day. Run working sessions, troubleshoot the agent as issues come up, and make the calls that keep the build on track for launch. - Directly impact product. Surface unmet needs from your customer work, and feed them back to research and platform to shape where Sierra goes next. EXAMPLE PROJECTS These are the kinds of projects that strategists on our team have worked on recently: - Scope and launch a subscription-retention agent for a large telecommunications or media company that consistently outperforms human agents at saving at-risk customers. - Stand up an agent for a commerce customer that troubleshoots a broken device end-to-end and personalizes product recommendations in the same conversation. - Redesign the conversation flows for a financial services agent so it can handle complex, regulated interactions — and convert a pilot into a multi-team production deployment. See our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services for examples. - Partner with product on a net-new capability — a new agent architecture or self-service tooling — using a live customer as the design partner. - Define the evaluation and quality bar for a new agent, then use those metrics to drive a measurable lift in outcome https://sierra.ai/blog/outcome-based-pricing-for-ai-agents week over week. WHAT YOU'LL BRING - Customer obsession. Genuine energy being in front of customers — understanding their business and needs, thriving in complex organizations, and building trusted relationships. - Communication. Clear, direct, and persuasive across technical and non-technical audiences. - Strategic problem-solving in ambiguity. Strong analytical and critical-thinking skills to break down complex problems, spot risks early, and adapt as things change fast. - Technical aptitude. Comfortable engaging directly with technical concepts - reading API documentation, understanding data models and system architecture, and following engineering tradeoffs in a design discussion. - Ownership and delivery. A track record of running multiple complex, high-visibility projects at once and driving them to outcomes. EVEN BETTER... - Experience building or deploying AI/LLM agents in production — hands-on with the tools behind them (eval frameworks, agent tooling, RAG, prompt engineering) — working closely with technical counterparts. - You've been a founder, founding team member, or operator — you know how to balance craft, ownership, and speed. - A degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience — and/or an MBA or comparable experience at the intersection of technology and business. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.