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Location: Remote - EMEA About the Job: The Customer Success Manager reports directly into the regional CS leader and represents LaunchDarkly as the direct point-of-contact with our customers post-sales. They are LaunchDarkly subject-matter experts guiding our new and expanding customers towards implementation and adoption and helping them achieve their desired use-cases and realize value. The best candidate for this role will be passionate about customer success with a keen interest in software development and DevOps, balanced with a strong sales acumen. In LaunchDarkly GTM, we are all customer-obsessed and striving for massive year over year growth. Responsibilities: Customer Onboarding: You will shepherd in new customers from the sales handoff through successful activation in the product. This includes building out success plans to get customers up to speed in the platform, project management through onboarding, helping customers leverage the most appropriate enablement paths and assessing customer’s adoption on an ongoing basis. Risk Identification and Mitigation: You’ll work to proactively identify and diagnose risk inhibiting adoption or that may cause churn and contraction. You’ll own building a risk mitigation strategy and coordinating across the account team to effectively steer the customer to success. Technical Guidance: You’ll maintain a deep level of LaunchDarkly product knowledge and be expected to provide customers with direction on implementation and adoption best practices. Prescriptively Sell: You maintain a pulse on how our customers are tracking against their key goals and outcomes identifying opportunities for customers to purchase additional products, services and adopt new features needed for them to maximize the value of our solution. Trusted Advisor: You understand your customers like no other and have built enough trust to act as an extension of their team. You provide prescriptive guidance to customers to help them get the most out of their LaunchDarkly purchase. Build Champions & Executive Relationships: You are an expert champion builder. You consistently work to identify & support key advocates within your customers’ organization who actively promote the value of LaunchDarkly. In partnership with your Champion, you’re able to leverage success metrics & value driven insights to gain sponsorship at an Executive level. Renewal and Expansion focused: You are comfortable owning a number and forecasting on a weekly basis. You will work directly with customers, sales and deal desk to execute renewal agreements on time and to identify expansion opportunities within your accounts About You: Entrepreneurial and Self-Motivated: You are driven and proactive, taking ownership of your role and responsibilities. You operate with a high level of urgency at all times. You thrive in a fast paced, start-up environment. Passion for Learning and Growth: You are enthusiastic about continuous learning and personal development at LaunchDarkly. You view feedback as a necessity for growth so consistently seek it out and give it. Intellectual Curiosity: You have a hunger for knowledge and are naturally a question-asker. Excellent Communication: Your written and spoken communication skills are outstanding. Organized & Autonomous: You are capable of efficiently managing your workload and have a process for time management. You do not require a lot of external direction to prioritize your work. Highly Adaptable: You excel in a fast-paced and dynamic organizational setting. Strong Sales Acumen: You have a high level of sales acumen, strong negotiation skills and are eager to own a number. This is a commercially focused CS organization. Natural Problem Solver: You have strong critical thinking skills and enjoy the process of solving complex customer problems. You are able to escalate issues when necessary in a clear, effective manner. Team Player: You collaborate well with others, know when to pull specialists or leaders in and keep others informed proactively. Win as a team! Qualifications: 5+ years in a customer-facing role, ideally in account management, customer/partner success or onboarding/implementation with a track record of exceeding targets. Experience owning the renewal process and being held accountable to a retention quota. This is a commercially oriented Customer Success team. Strong discovery and qualification skills; training in Command of the Message, MEDDIC or another sales methodology is preferred. Strong project management skills. You should have experience holding customers and cross-functional teams accountable to a timeline. Experience working on a technical product, ideally interacting with developers or other technical personas as your primary customer. Experience within the DevOps space preferred. Experience with both proactive and reactive customer success motions. We will teach you all about LaunchDarkly, but you should have an existing level of technical knowledge and know-how. Proven ability to advocate for both your customers and your company. You know how to be the voice of the customer in the company while mediating between the customer's requests and the company's vision. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @ launchdarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE We're looking for a passionate Product Designer to join our team and help shape the tools of the future. You should be a motivated self-starter with experience partnering with engineering teams and shipping real products. In this role, you'll work closely with product, engineering, and research to have a meaningful impact on Runway's design direction and future. WHAT YOU’LL DO - Lead design projects, including new features and improvements to our mobile and web platforms - Produce, iterate, and prototype concepts for creative workflows - Collaborate closely with the engineering and product teams to suggest product and process improvements - Contribute to maintaining visual and user experience consistency across our products WHAT YOU’LL NEED - Experience designing flows, prototypes and high-fidelity UI's for web products and strong visual design skills - Understanding of modern web technologies, web interactions, and usability standards - Experience delivering and iterating fast in close collaboration with engineering, product, and data teams - Ability and flexibility to iterate fast and often - Comfortable picking up unfamiliar parts of the product rather than waiting to be assigned only what you already know - Knowledge and understanding of the creative tool space - Bonus points if you have experience with creating functional prototypes using AI tools (Claude Code, Cursor, etc.) - At Runway, it’s always a bonus if you have artistic and creative potential (particularly skills with video/audio editing, icon/typography design, Illustration, etc.) Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: Stockholm, Sweden About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. What you’ll be doing We are seeking a Catalog Specialist to drive Catalog adoption and ensure a consistently high standard of product data quality within their country. This role is critical to establishing the Catalog as the single source of truth for packaged goods, enabling scalable operations, faster onboarding, and an improved customer experience. You will work closely with local Operations teams to embed the Catalog into day-to-day workflows, while collaborating cross-functionally with external vendors and global teams to steer catalog-related initiatives forward. Acting as the local subject-matter expert on catalog structure, data quality, and compliance, you will guide stakeholders, validate automated and vendor-provided data, and influence decision-making to ensure successful adoption and long-term quality outcomes. Day-to-day in this role you’ll: 1. Catalog Data Ownership (~60%) Review and validate product data from automation, merchants, and vendors before publication. Maintain high-quality standards for product data grounded in established compliance frameworks and supported by an ongoing commitment to staying informed and updated on local product data regulations Resolve duplicate GTINs and support clean deduplication/migration into the Unified Catalog Help create and enrich entries for unlisted products based on local needs, using merchant input, vendor data, or AI-generated suggestions. Ensure adherence to global attribute frameworks; escalate mismatches to Global Catalog & Data Quality 2. AI/Automation QA (~10%) Curate golden datasets for AI model training and evaluation (e.g., for LLMs). Audit and approve automation outputs during pilot phases Identify local linguistic or structural nuances that impact automation accuracy Collaborate with Product & Applied Science to refine automation models and improve QA logic 3. Stakeholder Support & Feedback Loops (~30%) Serve as the go-to expert for catalog data structure, taxonomy, and enrichment logic in your country Support local Sales and Merchant Ops in catalog updates and onboarding efficiency Provide structured feedback to global teams on catalog tooling, automation, and schema Participate in global process pilots, tool launches, and content governance reviews. Our humble expectations Fluent in Swedish and English is a must; 3+ years of experience in catalog/content management, product data QA, or similar fields. High proficiency in structured data management, with a quality-first mindset. Experience working with AI/ML models, QA workflows, or automation processes is a plus. Strong communication and stakeholder collaboration skills. Experience working with large datasets in spreadsheet tools such as Excel or Google Sheets is required First project management experience is a plus; What we offer A fast-growing tech company with lots of career opportunities, both locally and internationally; Health Insurance; Employee Assistance Programme - therapy and wellbeing; Employee discount on all Wolt orders; Next steps If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply, make sure to add your CV and get the conversation going! We will be reviewing applications on an on-going basis. If this sounds like an opportunity you want to pursue, apply today! Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

About the Client Our client is involved in an innovative data-collection project, which focuses on creating video datasets for training AI models. These AI models are designed to learn from first-person (POV) video footage. The captured videos depict real people involved in hands-on tasks with a mounted phone on their head or chest, paired with spoken narration. The purpose is to enable the model to connect visual inputs (objects, hands, actions) with audio descriptions. About the Role The Recorder role requires individuals who can master a specific hands-on activity from a selection of verticals. You will need to film yourself performing these tasks from a first-person perspective using your smartphone while ensuring the tasks are clearly visible. If fluent in English, you may narrate live; otherwise, ambient audio will suffice, and a separate narrator will cover the task later. Tasks & Deliverables — Select a mastered sub-area activity and record a complete end-to-end process. — Ensure hands and the procedure are constantly in focus. — Provide live narration if fluent in English or ambient audio for post-recording narration. — Deliver videos in MP4 format with accompanying JSON metadata. — Maintain narration density at 25 words per minute; ensure 90%+ of speech describes the setting or task steps. Required Skills — Mastery of at least one specific sub-area activity from the provided list (e.g., cleaning, laundry, organizing, pet care, repairs, gardening, sewing, woodworking, automotive repair, art, technology use, personal care, medical procedures, culinary skills, lab protocols). — Capability to record stable, clear POV videos with a smartphone. — Ability to work in a real setting without third parties in frame. — Competent in following a prepare → execute → finish script for filming tasks. Nice-to-have Skills — Experience recording tutorials or classes. — Access to various settings for diverse video backgrounds. — Owns equipment like a head/chest mount, image stabilization tools, or a good microphone. Rules — No personal data on video — no third-party faces, screens, documents, plates, addresses, mirror reflections. — 100% human narration — no TTS or synthetic voice. Engagement Details — Compensation model: Hourly paid, considering the total number of hours for approved videos. — Commitment Type: Flexible hours based on video submissions. — Duration: Ongoing, with earnings based on the number of approved videos. — Location: Remote, with flexible overlap with client's timezone. — Start Date: Immediate start upon approval of test video.

About the Client: Our client is involved in an innovative data-collection project, which focuses on creating video datasets for training AI models. These AI models are designed to learn from first-person (POV) video footage. The captured videos depict real people involved in hands-on tasks with a mounted phone on their head or chest, paired with spoken narration. The purpose is to enable the model to connect visual inputs (objects, hands, actions) with audio descriptions. Sub-areas for the videos include: Home & Daily Tasks: cleaning, laundry (sorting, folding), organizing a closet, house tours, pet care, packing luggage, loading appliances / dishwashing. Repairs & DIY: home repair, gardening / farming, furniture assembly, woodworking, plumbing, electrical work, bicycle maintenance, soldering electronics. Textile & Craft Arts: sewing, knitting, crocheting, using a loom, leathercrafting, bookbinding, crafting jewelry, pottery / ceramics. Professional Trades & Industrial: automotive repair / maintenance, warehousing / logistics, construction / woodworking, laboratory work, operating heavy machinery controls, assembly-line packaging. Hobbies & Arts: art – drawing, ceramics, painting, playing instruments, model building, outdoor survival / camping, calligraphy. Technology & Computing: using computers or devices (e.g. audio mixers), gaming, product demos, VR / AR interaction, 3D printer setup / maintenance. Outdoors & Activity: city tours, shopping, navigating public transit. Personal Care: haircut, applying makeup, detailed grooming routines. Specialized & Professional: medical procedures, first aid training, professional barista workflows, culinary chef / knife work, lab protocols (pipetting, titrations). About the Role - Narrator: Watches the POV video and describes the scene and task in first person, in English, as if explaining it to a model that can't see. Fluency and describing ability matter most; knowing the activity is not required. Deliverable: — audio narration synced to the video, recorded after the footage. Language: — English; fluency is criterion #1. Density: — at least 25 words/min on average, no long silences. Content: — 90%+ about the setting or task steps. Required Skills: — English fluency. — Ability to narrate pre-recorded videos. — All details on the Acceptance Criteria will be shared prior to the work. Rules: — No personal data on video — third-party faces, screens, documents, plates, addresses, mirror reflections. — 100% human narration — no TTS or synthetic voice. Engagement Details: Compensation model: Hourly paid, considering the total number of hours for approved videos. Commitment Type: Flexible hours based on video submissions. Duration: Ongoing, with earnings based on the number of approved videos. Location: Remote, with flexible overlap with client's timezone. Start Date: Immediate start upon approval of test video.

Location: Office, EU We are the creators of a new fintech era! Our mission is to revolutionize the world by making blockchain technology accessible to everyone in everyday life. WhiteBIT is a global team of more than 1,500 professionals united by a shared vision of shaping the future. We are building our own blockchain ecosystem to ensure maximum transparency and security for over 8 million users worldwide. Our cutting-edge solutions, rapid adaptation to market challenges, and technological excellence set us apart from traditional companies. Our official partners include Juventus, FC Barcelona, Lifecell, FACEIT, and VISA. Join us as a Head of Data Platform. Requirements : Education & Experience: — MSc in computer science, mathematics, statistics, physics or another quantitative field; PhD is a plus, not a requirement — research-grade methodology sits with the Quantitative Researcher — 5+ years in data engineering / analytics, incl. lead / management experience; built a trading / financial data platform from zero at a crypto exchange, HFT / electronic-trading firm, market maker, or trading fintech. Bank / enterprise-DWH background alone does not qualify — Personally carried production ownership of money data — trades, balances, positions, P&L — where a data error is a financial error Core Technical Skills — data platform: — Hands-on today: designs and ships pipelines personally — advanced SQL and Python; ClickHouse (or kdb+ / comparable columnar OLAP) in production — Streaming and batch in one architecture: Kafka or equivalent, event feeds with second-grade freshness alongside hourly aggregates; trading-day logic — metrics counted within a trading day that starts and ends at a fixed morning hour, with an automatic daily reset — Optimizes data footprint and computational overhead across every stage: selects the tech stack, partitioning logic, and execution flow based on cost-to-performance impact — Data-correctness engineering: reconciliation, idempotent backfills, late / duplicate event handling, data-quality monitoring and lag alerting — Vendor and API integration: institutional market-data providers (Kaiko / Amberdata class), exchange APIs, FX feeds; schema design and documentation others can build on Core Technical Skills — analytics & applied math: — Applied statistics at a working level: distributions, hypothesis tests and confidence intervals, correlation vs causation, time-series and aggregation pitfalls (session boundaries, survivorship, outliers) — enough to catch a methodological error in an analyst's query or notebook, and to have designed or reviewed metric / experiment methodology in past roles — Metric and semantic design: one written definition per metric (P&L, uptime, spread, fill rate) enforced across every report; analytical data models (marts / star schemas) that make those definitions computable and cheap to query — BI stack governance: Tableau / Grafana — performance, access control, versioned metric definitions; reviews dashboards for correctness rather than building them all himself — ML literacy: understands when a model is — and is not — needed and can supervise applied work; research-grade modeling remains the Quantitative Researcher's mandate Market & Domain Knowledge: — Trading data from practice, not textbooks: maker/taker, fees and rebates, perpetual funding, realized / unrealized P&L, inventory and exposure, order-book depth and spread, slippage, quoting uptime — Understands the consumers: how analysts, quants and desk heads use the data, and how market-quality / compliance metrics feed liquidity-provider terms — Has built and run a mixed organisation of data engineers and analysts: separate hiring bars and growth tracks, peer review of queries and dashboards as a standard, methodology documented before a number ships — Partners with quantitative research: turns the Researcher's methodology into production metrics and dashboards without distorting it; runs the sign-off process with quant and desk stakeholders — Treats balances and client data as confidential by default: access control, least privilege, audit trail, no raw-data leaks — Never ships silently wrong numbers: escalates early, cuts scope consciously, flags uncertainty in the data Mindset & Soft Skills: — Player-coach: the first months are personal hands-on delivery; scaling through the team runs in parallel, not instead — Speaks business: reports status in money and deadlines; prioritizes by P&L impact — which dataset unblocks which decision; no jargon walls with management and stakeholders — Owner of the direction's technical goals, not of a backlog: takes a business problem, decomposes it into tasks, executes and delegates Responsibilities — Platform: — Architect and ship the central data warehouse: every trade, position, balance and P&L across all trading services; an hourly contour for BI plus a real-time contour for monitoring; trading-day logic with automatic daily reset — Build the data layers behind LP terms: market quality (spread, depth near mid price, fill rate, per-order slippage), quoting-uptime start/stop events per maker and pair, external tier-1 benchmarks and FX feeds for regional fiat pairs — Close the data debt: gaps in realized-P&L coverage, history backfills, broken monitoring services — restore or replace — Set and hold agreed data-freshness targets and pipeline-health alerting; own schemas and documentation — Own analytics delivery end-to-end: the KPI rulebook published and signed, financial / attribution / historical-performance dashboards, compliance screens and provider scorecards — Enforce a single semantic layer: one definition per metric across every report; methodology documented before a dashboard ships — Quality gate: numbers are reviewed and challenged before they reach management; sign-offs from quant / desk collected per deliverable Responsibilities : — Hire leaders-first and onboard the technical team (~10 people: data engineering, analytics & BI, technical PM) per the approved hiring plan; hand tasks down without losing velocity — Single interface to exchange tech (requirements, acceptance, freshness targets) and to analytics / quant stakeholders; run delivery in Jira against the approved one-year roadmap — After the build: run the platform as a service to the direction — researcher-generated tasks, new metrics and pair groups, regular recalibration. Working terms Immerse yourself in Crypto & Web3: Master cutting-edge technologies and become an expert in the most innovative industry. Work with the Fintech of the Future: Develop your skills in digital finance and shape the global market. Take Your Professionalism to the Next Level: Gain unique experience and be part of global transformations. Drive Innovations: Influence the industry and contribute to groundbreaking solutions. Join a Strong Team: Collaborate with top experts worldwide and grow alongside the best. Work-Life Balance & Well-being: Modern equipment. Comfortable working conditions, and an inspiring environment to help you thrive. 22 business days of paid leave. Additional days off for national holidays.

Australian Payments Plus (AP+) is seeking a Senior Product Manager to oversee critical components of Australia's payment infrastructure, including eftpos, BPAY, NPP, and the ConnectID secure identity service. The role is based in Sydney and involves managing product strategies and delivery for these key payment systems. Candidates should have extensive experience in product management within the payments or financial technology sectors, demonstrating strong leadership and stakeholder engagement skills. The position requires a deep understanding of payment ecosystems and the ability to drive innovation and operational excellence in a complex, regulated environment.

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa About OKX 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 The Trading Systems team builds the mission-critical order, execution, position, and risk infrastructure that powers OKX’s global trading platform. We operate at the intersection of high performance, correctness, resilience, and scale—where every design decision matters. We are seeking a Senior C++ Software Engineer to lead the design and evolution of our trading counter and core trading systems. This role is for an engineer who combines deep systems expertise with strong ownership: someone who investigates root causes, raises the quality bar across the engineering lifecycle, and turns individual learning into reusable team capability. What You’ll Be Doing Lead the architecture, design, and development of complex, high-performance C++ trading systems. Design reliable distributed systems, including consistency, fault tolerance, disaster recovery, and resilience strategies across system boundaries. Own work end to end—from technical proposals and design reviews through framework refactoring, implementation, deployment, production debugging, replay, and validation. Solve low-level systems challenges involving networking, protocols, concurrency, memory management, performance, and operating-system-level behaviour. Drive architectural improvements by identifying systemic issues and anti-patterns, such as overly coupled or “God Class” designs, and redesigning components with clear responsibilities. Build proactive quality safeguards, including automated testing, failure-injection scenarios, stability validation, monitoring, and replay-based verification. Design controlled experiments to validate architectural assumptions and diagnose complex production issues beyond surface-level symptoms. Work effectively across heterogeneous technology stacks, making sound engineering decisions at language, service, and platform boundaries. Independently explore and apply AI-assisted engineering practices across code understanding, solution design, cross-review, incident analysis, test validation, and knowledge capture. Raise engineering standards through thoughtful code reviews, technical discussions, and continuous improvements to development practices. Mentor engineers and share practical knowledge through documentation, playbooks, technical sessions, and reusable frameworks. What We Look For In You Bachelor’s degree or above in Computer Science, Software Engineering, or a related STEM field; equivalent practical experience is also valued. 5+ years of hands-on software engineering experience, with substantial experience building production C++ systems. Strong experience designing and evolving complex systems, with a clear understanding of architectural trade-offs. Proven knowledge of concurrency, multithreading, network programming, and performance optimisation in Linux-based environments. Hands-on experience with distributed consistency, high availability, fault tolerance, disaster recovery, or other system-level reliability designs. Strong understanding of computer systems fundamentals, including networking protocols, operating systems, memory, storage, and runtime behaviour. A track record of taking ownership proactively, from defining the problem to delivering and validating a robust solution. Exceptional debugging and analytical ability, with a habit of investigating why issues occur—not simply applying short-term fixes. Experience using automated tests, simulation, replay, or comparative experiments to validate system behaviour and reliability. Clear communication skills and a collaborative mindset; able to turn experience into documentation, standards, and practices that help the whole team. Nice to Haves Experience with exchange, brokerage, trading counter, order management, execution, market data, or other low-latency financial systems. Experience with event-driven architectures, messaging systems, or high-throughput distributed platforms. Familiarity with Rust, Java, Go, Python, or other languages used in multi-language production environments. Practical experience applying AI tools to improve software engineering workflows and code quality. Experience working with globally distributed, cross-functional engineering teams. 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 .

Kanzum is an international B2B financial platform and fintech company focused on cross-border business payments and foreign exchange operations. Responsibilities: — Manage 3–4 Middle+ level vacancies simultaneously. — Conduct 25–30 candidate interviews per week. — Manage the candidate process across sourcing and initial screening stages. — Independently source candidates using LinkedIn, JuiceBox and Boolean search. — Build and maintain a consistent candidate pipeline for assigned vacancies. — Conduct initial candidate screenings and assess alignment with the role requirements. — Interview candidates and evaluate their experience, skills and overall fit for the position. — Present qualified candidates and move them forward to the next stages of the hiring process. — Maintain accurate candidate information and ensure consistent communication throughout the recruitment process. Requirements: — 1.5+ years of experience in recruitment and/or sourcing. — Experience recruiting for roles within complex products, fintech, SaaS or other technology-driven businesses. — English — B2+. — Hands-on experience sourcing candidates through LinkedIn, JuiceBox, Facebook and/or Boolean search. — Ability to independently manage 3–4 vacancies simultaneously. — Proven ability to conduct 25–30 candidate interviews per week. — Strong candidate assessment and interviewing skills. — Ability to independently build and maintain candidate pipelines. — Strong organizational skills and ability to work efficiently in a fast-paced environment. Conditions: — Fully remote work. — Opportunity to work with in dynamic international fintech company with growth opportunities. — Exposure to a variety of Middle+ roles across different business and technology functions.

Location: Sofia, Bulgaria Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. We are looking for a Partner Success Manager to facilitate manufacturing partners' success by expediting task completion, reassignment, or escalation to leadership based on the nature of the request. As our first line of defense against requests languishing in queues and losing valuable production time, you will orchestrate task completion throughout the order/job life cycle, serving as a primary point of contact for the partner community, ensuring seamless communication, proactively addressing challenges, and maintaining clear visibility throughout the production process. This role requires exceptional interpersonal, queue management, and cross-software platform expertise, paired with notable strengths in collaboration, organizational understanding, and a dedication to exceeding partner expectations and delivering organizational results. You will also contribute to the broader team by providing support, as necessary, to facilitate throughput and success during peak periods. How You'll Contribute: Serve as the primary tactical driver for partner success, proactively resolving critical production blockers such as unexpected cost or lead time discrepancies, freight inquiries, and label generation issues Manage the end-to-end resolution of job cancellation requests and missing inspection documents Oversee PSS dispute resolutions Maintain constant awareness of communication queues to ensure tasks are prioritized effectively and prevent production stalls Facilitate the recovery of troubled orders and execute pull-in requests to meet month-end and quarter-end goals Collaborate cross-functionally with internal Operations and Quality CoE teams to bridge communication gaps and optimize manufacturing outcomes Build trust-based relationships with the partner community, providing transparent updates on project status and quality requirements Identify process automation opportunities and maintain rigorous documentation for revenue recognition Provide peer coverage to ensure continuous support Escalate complex risks to leadership while strictly adhering to Xometry's quality management systems What You'll Bring to Xometry: Bachelor's degree in Supply Chain, Engineering, Business Administration, or a related technical field (or equivalent experience) 4+ years of experience in supply chain and/or customer service, preferably in manufacturing operations Proven track record of successfully managing and meeting schedule commitments by managing expectations of an identified customer group Knowledge of manufacturing processes, timelines, and documentation Strong analytical skills with the ability to implement solutions keeping production underway Self-starter with a take-charge attitude and ability to independently drive project completion Excellent organizational skills, demonstrated ability to multitask, and understanding of our communication platform's interface while tenaciously working to meet deadlines Superior verbal and written communication skills with the ability to effectively manage relationships with all stakeholders Excellent attention to detail and collaboration skills Proficiency in ERP tools and communication software Experience with quality management systems (e.g., ISO 9001) Ability to thrive in a fast-paced and high-growth environment Experience working with Xometry's digital marketplace or similar platforms is a plus Proficiency in data analysis tools (e.g., Google Sheets) is a plus Experience working in a manufacturing environment is a plus Conditions Language skills: English C1+ Holiday calendar: USA holidays Time Zone: Eastern Time - USA Benefits: Competitive salary and a comprehensive benefits package Health and life insurance Generous paid time off, including vacation, sick leave, and floating and fixed holidays Employee Assistance Program (EAP) and other wellbeing resources Team Spirit and Friendly Atmosphere: We work in an open, friendly, and trusting environment that welcomes initiative. In the Xometry team, everyone is ready to help and support in difficult times, and we always celebrate victories together and appreciate the contribution of everyone. Development Opportunities: We are a fast-growing company, and each new task is an interesting challenge for the team. We Care: We offer ongoing, free of charge well-being activities for our people and charity projects worldwide. Flexibility: Speed and flexibility are some of our advantages, allowing us to achieve amazing results. We have flexible processes and planning, we can respond to rapidly changing conditions, and we remain effective in the face of uncertainty. Onboarding: We provide a well-structured onboarding plan for new employees, combining all process, technology, and systems components into one. Apply now and become part of our journey! #LI-Remote #Promoted Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Please read our privacy policy here.

Location: Tokyo, Japan; Barcelona, Spain; Portland, OR Workplace: onsite About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  ROLE OVERVIEW  Welocalize is looking for a native-level Marathi speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.  Welocalize is looking for a native-level Marathi speaker to join a large-scale AI and consumer technology programme.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Marathi, and your judgement shapes how well it works before anyone else uses it.  If you enjoy noticing the detail other people miss, this is work you'll find satisfying.    MAIN RESPONSIBILITIES  Review pre-release AI model output in Marathi and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.

Location: Barcelona, Spain; Tokyo, Japan; Portland, OR Workplace: onsite About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  ROLE OVERVIEW  Welocalize is looking for a native-level Kannada speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.  Welocalize is looking for a native-level Kannada speaker to join a large-scale AI and consumer technology programme.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Kannada, and your judgement shapes how well it works before anyone else uses it.  If you enjoy noticing the detail other people miss, this is work you'll find satisfying.    MAIN RESPONSIBILITIES  Review pre-release AI model output in Kannada and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.

Location: Sofia, Bulgaria Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. We are looking for a Customer Success Manager to facilitate our customers' success by expediting task completion, reassignment, or escalation to leadership based on the nature of the request. As our second line of defense against requests languishing in queues and losing valuable delivery time, you will orchestrate task completion throughout the order/job life cycle, serving as a primary point of contact for the customer community, ensuring seamless communication, proactively addressing challenges, and maintaining clear visibility throughout the order process. This role requires exceptional interpersonal, queue management, and cross-software platform expertise, paired with notable strengths in collaboration, organizational understanding, and a dedication to exceeding customer expectations and delivering organizational results. You will also contribute to the broader team by providing support, as necessary, to facilitate throughput and success during peak periods. How You'll Contribute: Serve as the primary liaison for customers, facilitating seamless communication and building trust-based relationships throughout the order life cycle Orchestrate the order process by maintaining awareness of communication queues to ensure work is prioritized effectively Perform regular portfolio reviews to document progress and identify potential delays Coordinate with Partner Success Managers to mitigate risks before they impact customer satisfaction Identify technical blockers and building process issues that could stall order fulfillment Manage and resolve customer escalations cross-functionally, including determining when an order should be reassigned to a different manufacturing partner and managing the implications of doing so Collaborate with internal Operations and Product teams to bridge communication gaps and implement solutions that keep orders on track during peak periods Negotiate order adjustments, credits, or resolutions resulting from quality issues or delivery misses Maintain accurate documentation in central databases, ensuring all case activity adheres to quality management systems and safety procedures Identify opportunities for process automation and provide peer support to ensure continuous coverage of Customer Success Team activities What You'll Bring to Xometry: Bachelor's degree in Supply Chain, Engineering, Business Administration, or a related technical field (or equivalent experience) Minimum of 4 years of experience in customer success, account management, and/or customer service, preferably in manufacturing operations Proven track record of successfully managing and meeting schedule commitments by managing expectations of an identified customer group Knowledge of manufacturing processes, timelines, and documentation Strong analytical skills with the ability to implement solutions keeping orders on track Self-starter with a take-charge attitude and ability to independently drive project completion Excellent organizational skills, demonstrated ability to multitask, and understanding of our communication platform's interface while tenaciously working to meet deadlines Superior verbal and written communication skills with the ability to effectively manage relationships with all stakeholders Excellent attention to detail and collaboration skills Proficiency in ERP tools and communication software Experience with quality management systems (e.g., ISO 9001) Ability to thrive in a fast-paced and high-growth environment Experience working with Xometry's digital marketplace or similar platforms is a plus Proficiency in data analysis tools (e.g., Google Sheets) is a plus Experience working in a manufacturing environment is a plus Conditions Language skills: English C1+ Holiday calendar: USA holidays Time Zone: Eastern Time - USA Benefits: Competitive salary and a comprehensive benefits package Health and life insurance Generous paid time off, including vacation, sick leave, and floating and fixed holidays Employee Assistance Program (EAP) and other wellbeing resources Team Spirit and Friendly Atmosphere: We work in an open, friendly, and trusting environment that welcomes initiative. In the Xometry team, everyone is ready to help and support in difficult times, and we always celebrate victories together and appreciate the contribution of everyone. Development Opportunities: We are a fast-growing company, and each new task is an interesting challenge for the team. We Care: We offer ongoing, free of charge well-being activities for our people and charity projects worldwide. Flexibility: Speed and flexibility are some of our advantages, allowing us to achieve amazing results. We have flexible processes and planning, we can respond to rapidly changing conditions, and we remain effective in the face of uncertainty. Onboarding: We provide a well-structured onboarding plan for new employees, combining all process, technology, and systems components into one. Apply now and become part of our journey! #LI-Remote #Promoted Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Please read our privacy policy here.

Location: Tokyo, Japan; Barcelona, Spain; Portland, OR Workplace: onsite About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  ROLE OVERVIEW  Welocalize is looking for a native-level Telugu speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.  Welocalize is looking for a native-level Telugu speaker to join a large-scale AI and consumer technology programme.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Telugu, and your judgement shapes how well it works before anyone else uses it.  If you enjoy noticing the detail other people miss, this is work you'll find satisfying.    MAIN RESPONSIBILITIES  Review pre-release AI model output in Telugu and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.

Location: Tokyo, Japan; Barcelona, Spain; Portland, OR Workplace: onsite About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  ROLE OVERVIEW  Welocalize is looking for a native-level Tamil speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.  Welocalize is looking for a native-level Tamil speaker to join a large-scale AI and consumer technology programme.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Tamil , and your judgement shapes how well it works before anyone else uses it.  If you enjoy noticing the detail other people miss, this is work you'll find satisfying.    MAIN RESPONSIBILITIES  Review pre-release AI model output in Tamil and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.

Location: Tokyo, Japan; Barcelona, Spain; Portland, OR Workplace: onsite About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  ROLE OVERVIEW  Welocalize is looking for a native-level Traditional Chinese speaker to join a large-scale AI and consumer technology programme.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Traditional Chinese, and your judgement shapes how well it works before anyone else uses it.  If you enjoy noticing the detail other people miss, this is work you'll find satisfying.    MAIN RESPONSIBILITIES  Review pre-release AI model output in Traditional Chinese and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.

Location: Tokyo, Japan; Barcelona, Spain; Portland, OR Workplace: onsite About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  ROLE OVERVIEW    Welocalize is looking for a native-level Mandarin Chinese speaker to join a large-scale AI and consumer technology programme.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Mandarin Chinese, and your judgement shapes how well it works before anyone else uses it.  If you enjoy noticing the detail other people miss, this is work you'll find satisfying.    MAIN RESPONSIBILITIES  Review pre-release AI model output in Mandarin Chinese and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.

Location: Tokyo, Japan; Barcelona, Spain; Portland, OR Workplace: onsite About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  ROLE OVERVIEW  Welocalize is looking for a native-level Malay speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.  Welocalize is looking for a native-level Malay speaker to join a large-scale AI and consumer technology programme.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Malay, and your judgement shapes how well it works before anyone else uses it.  If you enjoy noticing the detail other people miss, this is work you'll find satisfying.    MAIN RESPONSIBILITIES  Review pre-release AI model output in Malay and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.