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Location: MA - Boston - Office , US - Headquarters - Maryland - Columbia Who is Tenable? Tenable® is the Exposure Management company. Over 40,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 50 percent of the Global 2000, and large government agencies. Come be part of our journey! What makes Tenable such a great place to work? Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together! Applicants must be authorized to work for any employer in the U.S. without sponsorship. We are unable to provide sponsorship for work visas of any kind at the time of hire, or at any point during employment. This includes, but is not limited to: F1-OPT, F1-CPT, H-1B, TN, J-1, etc Your Role: Build and lead a high-velocity production engine that transforms technical concepts into elite, field-ready service and training offerings across the Professional Services Portfolio. This role owns the full collateral and course-delivery lifecycle - from initial brief through go-to-market launch -  and is accountable for the platforms, governance, and creative/technical talent that keep the portfolio's content current, on-brand, and field-ready. The role carries a dual mandate: lead the production engine and serve as the primary link between Production and Sales Enablement/Go-to-Market (GTM), ensuring the portfolio is properly represented in the field. The ideal candidate has managed a diverse staff of technical and creative resources, can work with minimal supervision, and can implement the process changes required to continually mature the team's launch and collateral operations. Technical fluency in network security and vulnerability management is required to evaluate content accuracy and guide the team's technical output. Your Opportunity: Strategic Leadership & GTM Alignment Brand Evolution: Lead the overhaul of Tenable's corporate “house style” across all One Tenable and Prime assets, and own the Tier 1/2 rebrand timeline. The Face of Production: Serve as Professional Services lead for Prime Weekly TV, coordinating with SMEs to deliver high-quality broadcast content on a recurring cadence. Go-to-Market Liaison: Act as the bridge between Production, Sales Enablement, and Prime leadership so the collateral roadmap aligns with go-to-market goals and the portfolio is properly represented to the field. Launch Management: Plan, coordinate, and execute service and training offering launches, including go-to-market and marketing strategy. Operational Excellence & Platform Governance The Assembly Line: Design and manage scalable, repeatable workflows that take content from initial brief to final delivery, replacing ad hoc production with a governed process. Platform Management: Own the LMS and training delivery platforms, the global PS collateral library, and access management for all portfolio assets. Curriculum Development: Create and maintain appropriate training curricula, collateral and video recordings. Governance: Implement rigorous quality and content review standards for all technical and marketing assets, balancing innovation with the ongoing maintenance of existing offerings. Cross-Team Collaboration: Partner with Services Architects, Portfolio Program Management, and Domain Specialists to design, develop, and maintain professional service and training collateral. People Leadership & Performance Global Team Management: Build and lead a diverse, cross-timezone team of technical and creative professionals spanning multimedia design, technical writing, and video production. Data-Driven Leadership: Establish and track day-to-day production metrics -  throughput, quality, and cycle time -  to hold the team accountable to clear output standards. Talent Development: Foster a high-performance culture capable of adapting to rapid shifts in corporate direction, messaging, and strategy. Quality & Stakeholder Management Content Standards: Perform content reviews to assure the technical accuracy, brand alignment, and quality of all portfolio collateral before release. Stakeholder Interface: Serve as the primary point of contact for internal stakeholders (Sales, Product Marketing, Theatre leadership) regarding production requests and timelines. Risk & Dependency Management: Identify launch dependencies and production bottlenecks early, and escalate or resolve blockers before they affect GA dates. What You'll Need: 8+ years of related experience managing people, projects, and cross-functional processes, ideally in a professional-services or training-content environment 3+ years of direct people-management experience leading creative and/or technical production staff Experience with go-to-market, marketing, or sales-enablement processes for service or training offerings Exposure to the full content/product delivery lifecycle: requirements analysis, design, production, review, and launch B.S. or M.S. in Computer Science, Instructional Design, Communications, or a related field preferred Working knowledge of network security and vulnerability management; familiarity with Tenable.io, Tenable.sc, and Nessus strongly preferred Experience administering an LMS and managing a content/collateral library at scale Familiarity with data and dashboarding tools (e.g., Tableau) to track portfolio health and production metrics Strong written and verbal communication skills; comfortable presenting to senior stakeholders Strong initiative and the ability to work remotely, both self-directed and as part of a geographically distributed team Ability to manage multiple concurrent launches in an agile, frequently shifting environment This role may require you to work in a hybrid/on-site capacity at our headquarters in Columbia MD or Boston MA. This position is US-based only Ability to work remotely in a self-directed manner Ability to sit and work at a computer for extended periods Physically able to participate in training sessions, presentations and meetings Some Tenable office travel may be required #LI-Hybrid #LI-MM1 This is the base pay range for this position. Compensation for the role will depend on a number of factors, including the candidate's qualifications, skills, competencies, location and experience, and may fall outside of the range shown. Employees are also eligible for variable compensation in addition to base pay (commission for sales roles, bonus for non-sales roles), depending on company and individual performance. Tenable also offers a variety of comprehensive and competitive benefits which include: medical, dental, vision, disability and life insurance; 401(k) retirement savings with company match; an employee stock purchase plan; an employee referral program; flexible spending accounts; an Employee Assistance Program (EAP); education assistance; parental leave; paid time off (PTO); company-paid holidays; health and wellness events; and community programs. US Pay Range $130,000 — $173,333.33 USD We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels.  If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact Recruiting@Tenable.com for further assistance. Tenable Data Consent Statement Tenable is committed to protecting the privacy and security of your personal data. Depending on your location, one or more of the following notices may apply to you: General Applicant Privacy Notice California Applicant Privacy Notice EU/EEA/UK Applicant Privacy Notice

Location: United States 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. 🚀 Machine Learning Engineer, Ranking & Retrieval ClickUp is seeking an experienced Machine Learning Engineer to join our Search team. You'll own the ML systems that power search relevance for millions of users and ground our AI in the right context. Your Impact at ClickUp You'll own the full ML lifecycle for ranking and retrieval, from training through deployment and production serving. Our search indexes large-scale, user-generated content across a multi-tenant platform where permissions-aware retrieval is critical. You'll build the systems that decide what surfaces first. Core Responsibilities - Train, deploy, and serve ranking models in production, owning the full ML lifecycle - Build ranker features, training pipelines, and offline evaluation frameworks - Design and scale hybrid retrieval combining lexical and vector search (including HNSW with disk offloading) - Run embedding inference at billions-of-documents scale - Improve query understanding through intent modeling and query expansion - Build permissions-aware retrieval that respects multi-tenant boundaries - Create measurement frameworks to evaluate and improve search quality - Collaborate with Search Infrastructure, AI, and backend teams to integrate ranking improvements across the platform Technical Requirements - Bachelor's degree in Computer Science, Machine Learning, or related field - 5+ years of ML engineering experience focused on ranking, retrieval, or information retrieval - Proven full ML lifecycle ownership: training, deploying, and serving models in production - Hands-on ranker model training: feature engineering, pipelines, offline evaluation - Experience building hybrid (lexical + vector) retrieval systems - Experience running embedding inference at large scale - Strong query understanding fundamentals: intent modeling, query expansion Preferred Qualifications - Permission-aware retrieval and multi-tenancy experience - Indexing large-scale user-generated content (not small or static datasets) - Hands-on experience with OpenSearch or Elasticsearch - Sharding, index management, and real-time ingestion at scale - Background in NLP, semantic search, or agentic retrieval - Experience with TypeScript in backend systems   Join Our Mission At ClickUp, we're committed to building the future of productivity software. As our Search Engineer, you'll play a crucial role in shaping the core functionality of our platform and driving our AI initiatives forward. Join us in our mission to make the world more productive! #LI-REMOTE 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: Paris; London Workplace: OnSite ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Head of Financial Systems, you will shape the future of Mistral’s Finance technology ecosystem. The role exists to build a modern data, systems and AI-driven finance department that bridges finance, data, and business operations to drive financial performance and strategic decision-making. You’ll collaborate closely with our CFO, our internal Applied AI resources, and teams like, HR, IT, Legal, and Security to assess current systems, identify gaps, and design a target architecture that supports Mistral’s growth. Your impact will be felt across the organization, from improving profitability to automating accounting and ensuring reliable financial outputs.     WHAT YOU WILL DO - Lead the assessment of Mistral’s current Finance technology landscape, including tools, processes, data flows and pain points. - Define and prioritize business, functional, and technical requirements for Finance systems in collaboration with stakeholders. - Design a target Finance tech architecture, outlining system roles, integrations, and data flows and architectures - Develop a data governance framework, including ownership, quality controls, and maintenance processes. - Create and execute a prioritized plan to clean up and rationalize Finance datasets and execute it - Deliver a clear recommendation on the future Finance tech setup, including costs, risks, and a transition roadmap. - Ensure Finance data is migration-ready by addressing quality issues and defining ownership.     WHAT WE'RE LOOKING FOR - Strong project management skills, from defining vision, strategy, and roadmaps, to stelar execution - Engineering academic background, ideally from a tier-1 engineering school - Deep data architecture knowledge, including mastery of data sources, pipelines, storage, transformation, and metadata management, with hands-on experience designing and implementing architectures (e.g., APIs, workflows, BigQuery, DBT). - GenAI power user with Vibe coding skills, automation expertise, and experience building scalable, impactful products in a professional context. Basic coding skills and software development experience are a strong plus. - Experience in Finance technology assessment, system selection, and knowledge of tools such as SAP S4H, Kyriba, Lago, Payflows, etc - Solid financial knowledge, including experience working alongside finance teams, understanding FP&A, accounting, cash management, and procurement, and a strong interest in driving value through process automation and efficiency. - Builder and scaler with experience structuring IT systems (preferably in finance), building and scaling IT teams or departments from the ground up, and operating in multicountry environments. - Proven ability to build tools and processes from scratch to support company growth. - Strong analytical skills to evaluate data quality, consistency, and relevance. - Proficiency in prioritization and the use of performance metrics to drive impact. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: San Francisco, CA; New York, NY 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.

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 As a Software Engineering Intern for Winter 2027, you'll join a Vercel engineering team and ship production code that customers use. By the end of your internship, you'll have scoped, built, and shipped an end-to-end project, with mentorship from the engineers who own the system. This is a hybrid role based in San Francisco, in the office on Monday, Tuesday, and Friday. What you’ll do Own an end-to-end project: scope it with your manager, build it, and ship it to customers Write production code and review pull requests alongside the engineers who maintain it Debug live systems by tracing issues through the stack and fixing the root cause Post written progress updates and flag blockers as soon as they come up What you need Currently pursuing a degree in Computer Science, Engineering, or a related field, graduating in Fall 2027 or Spring 2028 Built and shipped at least one project in JavaScript or TypeScript, through coursework, a prior internship, open source, or your own work Use AI coding tools in your daily workflow, and can explain and debug every line you ship Bonus if you Have written code in Go or Rust Have contributed a merged pull request to an open-source project 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.

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 As a Software Engineering Intern for Summer 2027, you'll join a Vercel engineering team and ship production code that customers use. By the end of your internship, you'll have scoped, built, and shipped an end-to-end project, with mentorship from the engineers who own the system. This is a hybrid role based in San Francisco, in the office on Monday, Tuesday, and Friday. What you’ll do Own an end-to-end project: scope it with your manager, build it, and ship it to customers Write production code and review pull requests alongside the engineers who maintain it Debug live systems by tracing issues through the stack and fixing the root cause Post written progress updates and flag blockers as soon as they come up What you need Currently pursuing a degree in Computer Science, Engineering, or a related field, graduating in Fall 2027 or Spring 2028 Built and shipped at least one project in JavaScript or TypeScript, through coursework, a prior internship, open source, or your own work Use AI coding tools in your daily workflow, and can explain and debug every line you ship Bonus if you Have written code in Go or Rust Have contributed a merged pull request to an open-source project 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.

Location: United States Are you interested in working directly for a single sponsor while having the security and additional career opportunities that working for a global CRO can bring? Our team says it’s the best of both worlds…. ClinChoice is searching for a Senior Statistical Programmer Consultant to join one of our clients. ClinChoice is a global full-service CRO with a strong focus on quality, professional development, and supportive culture. As a client-facing role, we are looking for confident candidates with the ability to work independently whilst establishing a high-trust environment with the client’s counterparts. Main Job Tasks and Responsibilities: The Senior Statistical Programmer Consultant is a delivery-focused role who works under the leadership, oversight, and direction of a Programming team leader to lead and/or support aspects of the programming effort to deliver technical programming and information components of a project. This position requires high technical skills and thorough industry knowledge to independently perform the Programming tasks Key Responsibilities: Responsible for supporting the Programming deliveries of a clinical study or project. Implements statistical programming aspects of the protocol and the clinical development program. Ensures high quality is built into own deliverables and the quality delivered by other programmers. Programs independently with high efficiency and quality. Writes and/or implements specifications and oversees completeness of relevant documentation. Contribute to the development of best practices to improve quality, efficiency, and effectiveness within the function. Ensures compliance with standards and automation usage. Plans and support team activities and tasks. Communicates and escalates risks within the assigned studies and/or projects. Works proactively with study team members including but not limited to the Statistician, Lead Programmer, Data Manager and Study Leader. Education and Experience: Bachelor’s degree in computer science (CS), statistics, or related scientific disciplines with 5 yrs. of clinical programming (CDISC) experience; Master’s degree in CS, statistics or related disciplines with 6 yrs. of clinical programming (CDISC) experience. Working knowledge of ICH and Good Clinical Practices, Clinical research, Clinical trial process, and related regulatory requirements and terminology. Good understanding of the clinical drug development process. Strong communication skills and coordination skills. Current knowledge of technical and regulatory requirements relevant for the role Ability to proactively manage concurrent activities within a project Proficient ability to influence relevant stakeholders on programming-related items The Application Process Once you have submitted your CV, you will receive an acknowledgement that we received it. If you have the requirements we need, you will be invited for phone interview as the first step.  Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful. Who will you be working for? About ClinChoice ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific. Our Company Ethos Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset and they are the fulcrum around which all ClinChoice activities are built and close management and training is the core instrument to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives all personnel the clear tools needed to manage both internal and client processes with the same methodology.   The success of these core values is evidenced by our below industry average turnover rates. ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent guided by diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it. #LI-TT1 #LI-Remote #senior#contract

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. About The Role As a Humanoid Robot AI Data Collector, you will teleoperate humanoid robots and follow well-defined procedures to generate high-quality datasets used for training advanced AI models. You will work hands-on with physical robots using on-site tools and interfaces—such as the Universal Manipulator Interface (UMI)—to execute structured tasks and capture precise data. A significant part of the role involves annotation and labeling, requiring strong focus, accuracy, and pride in craftsmanship.   This role is for individuals who thrive in a fast-moving, team-oriented environment; who take ownership, communicate openly, and embrace continuous learning. No technical background or formal education is required; full training is provided. This is a fully on-site role, working hands-on with robots and on-site systems such as UMI, and may involve periods of standing, regular movement, and interaction with physical hardware. The position is shift-based on a weekly rota (06:30 am – 2:30 pm and 2:30 pm –10:30 pm), and includes travel requirements in line with business needs.   What You'll Do - Teleoperate humanoid robots with consistency, precision, and a strong sense of ownership over data quality. - Perform on-site data collection using tools such as the Universal Manipulator Interface (UMI). - Capture and organise multimodal data (e.g., video, motion trajectories, task logs) with high accuracy and attention to detail. - Annotate and label data following strict guidelines, treating the work as a high-skill technical discipline. - Identify anomalies or issues proactively and escalate or solve them at the lowest responsible level. - Suggest improvements to workflows, processes, or tools—everyone contributes to process design. - Maintain clear, transparent documentation of progress and dataset quality. - Move with urgency and focus, ensuring timelines and daily goals are met. - Communicate openly with team members, sharing feedback and observations across functions. - Collaborate respectfully and positively with teammates, helping create a supportive and high-performing culture.   We're Looking For: - No formal technical education required — full training will be provided. - Comfortable using computers and digital interfaces. - Exceptional attention to detail and ability to follow precise instructions. - Strong time management, urgency, and reliability in meeting daily/weekly targets. - Ability to maintain focus and high-quality output during repetitive tasks. - Proactive mindset — willingness to take initiative without waiting for direction. - Clear, transparent communication skills for reporting findings and collaborating with the team. - Commitment to iterative learning, continuous feedback, and constant improvement. - Interest in robotics, AI, or emerging technologies is welcome but not required.   What We Offer: - 30+ days time off, including 23 days annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. As a Manager of Governance, Risk, and Compliance you will lead the day-to-day execution and support the ongoing operation of the GRC program in a fast-paced, high-growth environment. This role is responsible for hands-on execution of GRC initiatives, collaborating across Legal, Security, Product, and other teams to advance compliance objectives, reduce enterprise risk exposure, and strengthen operational resilience. RESPONSIBILITIES - Lead the day-to-day operations of the GRC function, ensuring timely execution of governance, risk, compliance, third-party risk, and secure development lifecycle (SSDLC) assessment activities. - Lead enterprise risk reviews by driving GRC intake and request triage, personally overseeing complex assessments while prioritizing and delegating work across the team. - Perform and lead the third-party risk management lifecycle by conducting and overseeing vendor risk assessments and due diligence in partnership with Legal, IT, and Security. - Manage team workload and capacity by assigning, tracking, and escalating requests as needed to ensure consistent delivery, quality, and stakeholder satisfaction. - Develop and report operational metrics and KPIs, providing weekly dashboards and status updates to GRC leadership. - Contribute directly to governance activities, including policy management, control assessments, evidence collection, audit support, and continuous compliance initiatives. - Maintain the enterprise risk register by documenting, tracking, escalating, and reporting technology, cybersecurity, privacy, and third-party risks - Support security incident response activities by coordinating compliance-related obligations, regulatory documentation, and risk remediation tracking. QUALIFICATIONS - 8+ years of experience in GRC, information security, cybersecurity; with 2+ years of experience leading or managing GRC, information security, or audit professionals. - Demonstrated experience leading operational GRC programs, including intake management, workload prioritization, KPI reporting, and cross-functional coordination. - Extensive hands-on experience performing third-party/vendor risk assessments, security reviews, due diligence, and risk-based decision support. - Strong knowledge of SSDLC risk assessments and application security governance processes. - Deep knowledge of security and privacy frameworks and regulations, including ISO 27001, SOC 2, NIST CSF, HIPAA, GDPR, PCI DSS, and modern cybersecurity risk management practices. - Excellent written and verbal communication skills, with the ability to communicate effectively with technical teams, business stakeholders, auditors, and executive leadership - A minimum bachelor’s degree in any discipline. Computer science, cybersecurity, and risk or technology degrees preferred. BONUS QUALIFICATIONS - Professional certifications such as CISSP, CRISC, CISA, or ISO 27001 Lead Auditor. - Demonstrated success in program and project management skills with the ability to manage multiple concurrent workstreams in a fast-paced environment. - Exceptional organizational, analytical, and problem-solving skills. - Background in establishing SSDLC guardrails. ABOUT YOU - You are a risk focused GRC leader with ability to assess security risks and translate it into business impact. - You have the ability to assess a risk impact in terms of business trade-offs. - You are passionate about building scalable GRC programs that have a lasting impact in improving the overall security posture of an organization without slowing the speed of innovation. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $155,000-$195,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. As a Senior Manager GRC you will play a critical role in shaping, driving, and leading our GRC team towards supporting ongoing operation and enhancement of the overall information security governance program, assessing the risk landscape in a fast-paced, high-growth environment. This role will strategically craft the roadmap in collaboration with stakeholders across the business and fulfill growing security needs assessing risk landscape across WHOOP. In addition to core GRC responsibilities, you will partner closely with functions across Product, Engineering, Data Analytics, and Legal to meaningfully move the security posture of the company. We are seeking a leader and strategic partner with prior experience driving GRC programs for technology teams. RESPONSIBILITIES - Lead the development, implementation, and continuous evolution of the GRC program, driving both strategy and hands-on execution. - Lead the development, implementation, and ongoing management of scalable security control frameworks, policies, standards, and security awareness programs, contributing directly while guiding the team’s work to strengthen organizational compliance. - Support incident response activities and translated into actionable improvements across the risk and compliance program. - Actively manage the enterprise risk register, driving risk prioritization, and delivering executive-level reporting. - Manage, mentor, and develop GRC analysts while balancing hands-on execution with effective delegation and team enablement as the program scales. - Evaluate, implement, and continuously improve GRC program, tools, processes, and metrics. QUALIFICATIONS - 10+ years of experience in GRC, or information security / cybersecurity, with 5+ years in managing GRC, information security, or cybersecurity professionals. - Demonstrated success scaling GRC programs whilst crafting clear and efficient team objectives and programs. - Deep understanding of regulations and standards including, but not limited to ISO 27001, SOC 2, GDPR, PCI, NIST CSF, and privacy/security obligations - Experience building or integrating GRC programs in enterprise security to improve overall security posture of the organization - Excellent communication, interpersonal, and leadership skills with the ability to influence across teams and levels - A minimum bachelor’s degree in any discipline. Computer science, cyber security and risk or technology degrees preferred. BONUS QUALIFICATIONS - Certifications such as CISA, CISSP, CIPP/E, CRISC, or ISO Lead Auditor. - Background in leading Enterprise Risk, Cybersecurity Risk, Information Security programs. - Background in establishing DevSecOps, AI Governance, and SSDLC guardrails. ABOUT YOU - You are a strategic and people-focused leader who thrives on balancing hands-on oversight with long-term organizational growth. - You are a risk aware leader with ability to translate security risks in business terms to influence both technical and non-technical teams. - You are passionate about building bridges across different departments and can operate confidently in both strategic and security control tactical domains. - You believe that security enables innovation, and you lead with integrity fostering a culture that embodies a risk mind-set. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for these full-time positions is $185,000-$205,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.  In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: London ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About Mistral    At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.   We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.   We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.   Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers.   Role Summary:   As our Enterprise Sales Executive, you will be instrumental in shaping Mistral’s adoption with our largest customers across the Public Sector. You will be driving deals end2end: from prospective, first intro call until closing and beyond — together with our dedicated implementation specialist, tech and legal teams.   What you will do:   Lead development (strategic outbound and qualified inbound): - Handle strategic outreach as well as warm introductions to promising enterprise customers - Converting inbound deals where upselling / more bespoke agreements can be achieved   Value prop validation for customer: - Provide hands-on support and guidance to clients during a potential Proof of Concept (POC) phase, ensuring a smooth and successful evaluation process - Leverage successful POC outcomes to facilitate the conversion of POCs into long-term, revenue-generating contracts   Deal management & closing: - Develop and execute strategic sales plans to convert leads into valued customers — you are the first point of contact for all external stakeholders and are responsible for properly managing deals and aligning all stakeholders (heavy involvement of customer engineering, product, and commercial teams, both on operational and C-level) - Handle customer negotiation end2end, together with our legal and implementation specialist team   Executive Engagement: - Cultivate and maintain strong relationships with C-level executives, heads of innovation/AI, and other key decision-makers within target Public Sector organisations - Comprehend their specific challenges and needs, positioning our solution as an integral part of their strategic initiatives   Technical Aptitude: - Demonstrate a deep understanding of the technical intricacies of our product and articulate its value proposition effectively to potential clients - Work side-by-side with our implementation team to ensure that customer’s questions, concerns and challenges are taken care of during pre-sales, deployment and post-deployment phase - Collaborate with our technical team to address any customer inquiries or concerns   Training and enablement: -Empower internal teams with the knowledge and resources that you collect in customer conversations to drive product roadmap and align on priorities   Who you are:   - Proven experience in Sales (enterprise sales/consultative selling, ideally selling a highly complex, technical product) - Excellent academics: Bachelor and/or Master Degree in Business, Computer Science, or a related field - Significant work experience within UK Public Sector organisations - Strong technical skills to navigate quickly evolving products and steer technical discussions - Significant work experience within AI ecosystem or related data/infrastructure field - Outstanding negotiation and communication skills   What We Offer:   💰 Competitive cash salary and equity 🥕 Food : Daily lunch vouchers 🥎 Sport : Monthly contribution to a Gym pass subscription  🚴 Transportation : Monthly contribution to a mobility pass 🧑‍⚕ Health : Full health insurance for you and your family 🍼 Parental : Generous parental leave policy 🌎 Visa sponsorship   By applying, you agree to our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Sofia 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. Product Analyst Product Analyst is embedded within a product squad, providing analytical support to grow our two key marketplace platforms: the customer-facing platform and the partner-facing platform. The role involves deep analysis of user behavior, end-to-end analytics, and the planning and analysis of A/B tests. You will work in close collaboration with Product Managers to drive data-driven decisions, with a key focus on optimizing pricing strategies and identifying product growth opportunities. This position works end-to-end: clarifying problems, shaping metrics, partnering with DWH, building usable tools, and supporting adoption. The scope of the role is cross-regional. Tech Stack: Analytics/DWH: SQL, Python, Snowflake, Airflow, Looker, Amplitude, Google Analytics, Google Sheets, DataHub, Git, Statsig, DBT Application Platform: PostgreSQL, Ruby, Salesforce Project/Process Management: JIRA, Miro, Figma AI-Native: Claude, Spec-Driven Development How You’ll Contribute: Experimentation & A/B Testing: Partner with Product Managers and stakeholders to define the problem, success metrics, and hypotheses; propose experiments and measure impact on the business Own product A/B testing and the end-to-end product hypothesis pipeline, from ideation to analysis and implementation Formulate hypotheses for new product features, design A/B experiments, analyze results, and provide recommendations to improve user conversion and engagement Design and analyze A/B tests for different pricing models and strategies to maximize revenue while balancing conversion rate and bookings Analytics & Reporting: Build and maintain dashboards in Looker; ensure correctness of data, clarity, usability, and decision support Analyze product funnels, user behavior, and platform performance (activation, conversion, retention, pricing effects) to drive product growth, revenue, and margin Track lifecycle KPIs, trends, and customer feedback, and recommend actions Conduct in-depth product analysis and uncover insights not covered by self-service analytics Data Quality & Partnership: Specify data needs, validate data quality, and collaborate with DWH on marts and metrics Treat analytics as a product: start with “why,” simplify, and ensure usability and adoption What You’ll Bring to Xometry: Education: Bachelor’s or Master’s in Data Science, Computer Science, IT, Engineering, or a related field Experience: 3+ years in product analytics, ideally within B2B/B2C marketplaces Technical Skills: Strong SQL and Python; experience with BI tools (Looker, Tableau, Qlik, or similar); familiarity with Git, JIRA, Confluence, or equivalents Quantitative Skills: Solid foundations in probability and statistics; hands-on experience with statistical analysis and experimentation (hypothesis testing, A/B test design, power analysis), regression, and time-series analysis Nice to Have: Understanding of DWH concepts (design, data structures, ETL/ELT) and applied experience with Statsig or another A/B testing platform Soft Skills: Strong business sense, clear communication, structured thinking, attention to data quality, and the ability to decompose ambiguous asks into deliverables Curiosity: A track record of self-directed development in adjacent disciplines such as entrepreneurship, business administration, product, UX, machine learning, or human behavior and psychology is a strong plus Languages: Fluent English with strong communication skills is required; Russian is a big plus; German or another EU language is a plus Location: Sofia, Bulgaria Please apply with an English CV #LI-Hybrid #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: Munich 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. Product Analyst Product Analyst is embedded within a product squad, providing analytical support to grow our two key marketplace platforms: the customer-facing platform and the partner-facing platform. The role involves deep analysis of user behavior, end-to-end analytics, and the planning and analysis of A/B tests. You will work in close collaboration with Product Managers to drive data-driven decisions, with a key focus on optimizing pricing strategies and identifying product growth opportunities. This position works end-to-end: clarifying problems, shaping metrics, partnering with DWH, building usable tools, and supporting adoption. The scope of the role is cross-regional. Tech Stack: Analytics/DWH: SQL, Python, Snowflake, Airflow, Looker, Amplitude, Google Analytics, Google Sheets, DataHub, Git, Statsig, DBT Application Platform: PostgreSQL, Ruby, Salesforce Project/Process Management: JIRA, Miro, Figma AI-Native: Claude, Spec-Driven Development How You’ll Contribute: Experimentation & A/B Testing: Partner with Product Managers and stakeholders to define the problem, success metrics, and hypotheses; propose experiments and measure impact on the business Own product A/B testing and the end-to-end product hypothesis pipeline, from ideation to analysis and implementation Formulate hypotheses for new product features, design A/B experiments, analyze results, and provide recommendations to improve user conversion and engagement Design and analyze A/B tests for different pricing models and strategies to maximize revenue while balancing conversion rate and bookings Analytics & Reporting: Build and maintain dashboards in Looker; ensure correctness of data, clarity, usability, and decision support Analyze product funnels, user behavior, and platform performance (activation, conversion, retention, pricing effects) to drive product growth, revenue, and margin Track lifecycle KPIs, trends, and customer feedback, and recommend actions Conduct in-depth product analysis and uncover insights not covered by self-service analytics Data Quality & Partnership: Specify data needs, validate data quality, and collaborate with DWH on marts and metrics Treat analytics as a product: start with “why,” simplify, and ensure usability and adoption What You’ll Bring to Xometry: Education: Bachelor’s or Master’s in Data Science, Computer Science, IT, Engineering, or a related field Experience: 3+ years in product analytics, ideally within B2B/B2C marketplaces Technical Skills: Strong SQL and Python; experience with BI tools (Looker, Tableau, Qlik, or similar); familiarity with Git, JIRA, Confluence, or equivalents Quantitative Skills: Solid foundations in probability and statistics; hands-on experience with statistical analysis and experimentation (hypothesis testing, A/B test design, power analysis), regression, and time-series analysis Nice to Have: Understanding of DWH concepts (design, data structures, ETL/ELT) and applied experience with Statsig or another A/B testing platform Soft Skills: Strong business sense, clear communication, structured thinking, attention to data quality, and the ability to decompose ambiguous asks into deliverables Curiosity: A track record of self-directed development in adjacent disciplines such as entrepreneurship, business administration, product, UX, machine learning, or human behavior and psychology is a strong plus Languages: Fluent English with strong communication skills is required; Russian is a big plus; German or another EU language is a plus Location: Munich, Germany Please apply with an English CV #LI-Hybrid #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: Singapore, Singapore 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 The Asset Team is responsible for delivering transparent and reliable asset management experiences across crypto fund movements, portfolio visibility, transaction history and tax reporting. This role will establish a scalable product framework that supports tax reports and statements for users across different jurisdictions, based on applicable regulatory requirements and customer jurisdiction, address and tax-residency information. What You’ll Be Doing Define the long-term vision, strategy and roadmap for customer tax reporting, client statements and transaction history. Establish a scalable global tax reporting platform and expansion framework, enabling new markets and reporting requirements to be supported efficiently. Partner with Tax, Legal and Compliance teams to assess regulatory developments, determine product impact and prioritize regional initiatives based on regulatory risk, customer needs and business strategy. Own the development of the Tax Center, including tax documents, reporting status, transaction。 Lead integrations and product strategy for tax and reporting providers such as TaxBit and Sovos. Depending on the candidate’s experience, contribute to portfolio management and asset analytics products, including asset dashboards, portfolio performance, asset allocation and P&L experiences. What We Look For In You Bachelor's or Master's degree in a relevant field (e.g., computer science, engineering, fintech, business). Prior working experience in well-known Internet/cryptocurrency companies such as Futu, Tiger, Coinbase, etc. preferably in brokerage, tax technology Ability to translate tax, regulatory and financial requirements into scalable product capabilities, workflows and data requirements. Experience with digital asset tax reporting, cost basis, gains and losses calculations, tax forms or e-invoicing. Rigorous, detail-oriented, and composed under pressure. High sense of ownership and accountability. Excellent analytical and problem-solving skills, with the ability to make data-driven decisions and prioritize competing demands. Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and influence stakeholders. Proficiency in English as it can be used as a working language, Mandarin speaking will be mandatory. 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! #LI-ONSITE #LI-WWW 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, 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 .

Задачи: — Разработка и оптимизация высокопроизводительных backend-систем для data-driven приложений. — Работа с современными технологиями потоковой обработки, распределёнными фреймворками и облачными архитектурами для создания масштабируемых, надёжных и высокодоступных решений. Требования: — Проживание вне России и Беларуси. — Наличие диплома бакалавра (требуется фото диплома при подаче заявки). — Опыт разработки на Java и создания API и сервисов. — Опыт работы со Scala не менее 2 лет. — Опыт работы с Akka не менее 2 лет, особенно для потоковой обработки данных или распределённых систем. — Опыт работы с потоковыми/данными фреймворками, такими как Spark Streaming, Flink, Kafka, Kinesis или аналогичными. — Умение создавать и использовать RESTful API. — Опыт работы с AWS (serverless, compute, storage, data services) и знакомство с DevOps практиками (используется Azure DevOps). — Владение английским языком на уровне B2+ (устный и письменный). Условия: — Удалённая работа. — Контракт B2B. — Минимальный срок контракта 9 месяцев. — Полный рабочий день, 8 часов в день. — Ежедневное пересечение рабочего времени 4 часа с 8:00 до 12:00 по Чикаго. — Отпуск без оплаты. — Зарплата 5400-6600 USD до вычета налогов в месяц.

Location: Jeddah, Saudi Arabia; Makkah, Saudi Arabia The Building Automation Maintenance Engineer (Maintenance Engineer – Systems) will be responsible for maintaining, monitoring, troubleshooting, and continuously improving the Niagara 4-based Automation System (IKAS) and Integrated Fire Alarm Automation System (IFAS) . The role involves system health monitoring, fault diagnosis, user and system administration, software backup management, network coordination, and support for automation system expansion and optimization. Key Responsibilities Monitor IKAS/IFAS functionality and prepare daily system health reports. Investigate system alarms and faults, identify root causes, and implement corrective solutions. Create and manage Niagara 4 user accounts according to approved access levels. Monitor and log system-user activities and report security or access violations. Manage software backups and perform system restoration when required. Coordinate with IT teams to resolve network, server, and virtual machine issues. Support maintenance teams in resolving communication issues between Niagara and connected equipment/devices. Configure Niagara machine IP addresses, network settings, and server communication ports. Provide after-hours technical support when required. Perform system optimization, fine-tuning, and performance improvement activities. Develop and configure SQL database scripts for reporting requirements. Maintain automation-related IT equipment, including servers, workstations, and JACE controllers. Investigate and resolve security alerts raised by Operations and IT departments. Support system expansion projects and ensure vendor/contractor compliance with approved specifications. Continuously develop and maintain Niagara platforms, including system configuration and graphics accuracy. Conduct audits and inspections of automation systems. Develop software solutions to improve system performance and operational efficiency. Prepare monthly system status and performance reports. Coordinate technical activities with software developers and automation system vendors. Collaborate with various departments to develop and implement smart automation solutions. Develop departmental performance, operational, and statistical dashboards. Manage Tridium SMA agreements for Niagara stations, including software patches, bug fixes, and version upgrades. Required Competencies Knowledge of Niagara 4 , including Java and HTML5 implementation. Strong knowledge of Building Automation Systems (BAS) . Knowledge of energy conservation and building energy optimization. Strong problem-solving and Root Cause Analysis (RCA) skills. Good knowledge of fire alarm, lighting control, and power monitoring systems. Fluent in written and spoken English. Qualifications Bachelor’s degree (BSc) in Computer Science, Electrical Engineering, Electronics Engineering , or an equivalent approved discipline. Good knowledge of Building Automation Systems and related security/automation systems. Experience Minimum 7 years of overall experience in the relevant automation/building systems domain. Minimum 3 years of hands-on experience with Niagara platform-based Building Automation Systems . Experience in Niagara 4 system administration, troubleshooting, configuration, and maintenance. Experience with BAS/IBMS, fire alarm, lighting control, power monitoring, and related automation systems is preferred.

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.