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Location: Hamburg adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually. Running the Engine Behind 200M+ Daily Ad Decisions Behind every ad decision at adjoe is a system designed to operate at massive scale, serving more than 770 million mobile users every year. The Demand API Integrations team owns the systems that connect our platform to the global adtech ecosystem, handling over 5.5 billion API requests daily across installs, events, views, clicks, and postbacks from Mobile Measurement Partners. We operate a dedicated A/B testing environment against live traffic to validate system behavior under real-world conditions, allowing us to evaluate advertiser integrations, benchmark partner performance, and verify attribution accuracy end-to-end before deploying globally. We integrate TensorFlow-based ML models to predict user engagement and purchase likelihood, directly influencing real-time ad distribution. To meet our strict 100ms latency constraint, we prioritize efficient model serving, low-latency data access, and deliberate system design. Your Mission & Who We Are Looking For - High-Scale Backend Product Leadership: You will own the roadmap and backlog for the campaign distribution engine that serves over 200 million daily mobile users, balancing rapid business feature requests with long-term platform integrity. We are looking for someone with 5+ years of experience as a Product Lead (preferably in B2B SaaS) managing backend-heavy, high-load systems who can navigate ambiguity and drive product delivery end-to-end. - Technical & Data Fluency: You will partner daily with software engineers, BI analysts, and data scientists to translate business objectives into functional requirements, assess feasibility, and leverage ML models for campaign optimization. You understand APIs and database architectures (like Druid) well enough to evaluate technical trade-offs, debate implementation details directly with engineers, and translate complex mechanics for commercial stakeholders. - Hypothesis-Driven Experimentation: You will maximize publisher revenue and campaign matching efficiency by validating product hypotheses before spending engineering capacity. We need a product leader who systematically defines success metrics, runs and evaluates A/B tests, and uses quantitative performance data to either iterate on winning logic or cut underperforming initiatives early. - People Management & Team Growth: You will lead the Demand Integrations product function, running regular 1-on-1s, driving career planning, and hiring new talent to scale the team. We are looking for an experienced people manager who mentors team members in product thinking, delivery accountability, and commercial ownership. - Hands-On AI Prototyping: You will accelerate product discovery and requirements definition by building functional proof-of-concepts yourself rather than waiting on dev cycles. You must be fluent enough with modern AI tooling to independently build and demonstrate a working prototype of a feature. - Pluses (Technical & AdTech Background): Direct experience in the AdTech ecosystem or a formal technical background gives you a head start in understanding our external partner integrations, auction dynamics, and high-throughput data pipelines. 🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team. What’s in It for You? At adjoe, we are not just managing campaigns, we're helping build the business engine behind one of the fastest-growing adtech platforms in mobile. We are proactively curious: we question status quo, think outside the box, connect the dots. The partnerships you close, the strategies you execute, and the markets you develop will directly shape how adjoe scales globally. - Go Big. Own commercial initiatives that move revenue and expand adjoe's market position. - Move Fast. Operate in a high-velocity environment where decisions are made quickly and impact is visible immediately. - Be Direct. Work in a culture where feedback is honest, collaboration is real, and politics are low. - Thrive Together. Grow alongside a diverse, global team of 250+ people from over 40 countries across 7 offices. - Have Fun. Celebrate wins, build lasting industry relationships, and bring your energy to a team that genuinely enjoys what they do. We welcome applications from people who will contribute to the diversity of our company.

Location: Malta About the Role As an Infrastructure Engineering Tech Lead at Betsson Group, you will provide technical leadership and direction across our infrastructure platforms, helping ensure that our environments are reliable, resilient, secure, scalable and well engineered. You will be a senior hands-on member of the Infrastructure team, combining deep technical expertise with the ability to guide engineering decisions, establish technical standards and support the development of engineers within the team. You will work closely with Infrastructure Engineers, architects, technical leadership and other technology teams to shape the evolution of our infrastructure platforms, ensuring that solutions are designed with operational excellence, automation, standardisation and long-term sustainability in mind. This is a technical leadership role rather than a people-management position. You will lead through technical expertise, collaboration, mentoring and influence while remaining actively involved in engineering and delivery. What You’ll Work On Provide technical leadership and direction across our on-premises and cloud infrastructure platforms. Be a hands-on technical leader, contributing to the design, implementation and continuous improvement of infrastructure solutions. Act as a technical authority and escalation point for complex infrastructure challenges. Define and promote engineering standards, best practices and reusable technical patterns across the team. Champion Infrastructure as Code (IaC), automation and standardisation to improve efficiency, consistency and scalability. Drive improvements in infrastructure reliability, resiliency, availability and performance. Identify and help address technical debt and infrastructure lifecycle risks, supporting platform modernisation. Provide technical mentoring and guidance to Infrastructure Engineers, encouraging knowledge sharing and continuous development. Collaborate with other technical teams to ensure solutions align with architecture, security and engineering standards. Contribute to the Infrastructure technical roadmap and evaluate opportunities for modernisation and continuous improvement. Participate in the Infrastructure team on-call roster. What You Bring Proven experience in a technical leadership role within an infrastructure or operations team. In-depth knowledge of infrastructure technologies, including on-premises solutions, physical servers, network equipment, and storage solutions. Experience with automation and Infrastructure as Code technologies such as Ansible and Terraform. Experience with cloud computing platforms, preferably with AWS Strong understanding of Windows and Linux environments. Strong troubleshooting and problem-solving skills, with the ability to lead to the resolution of complex technical issues. Hold certifications such as MCSA, MCSE, CCNA, CCNP, Linux LPIC/RHCSA/RHCE, CKA, CKAD, CKS, and VMware VCP-DCV are highly desirable. Understanding of infrastructure monitoring, observability, performance and capacity management. Strong understanding of KPIs and SLAs. Ability to establish technical standards and influence engineering decisions across teams. Strong communication, collaboration and technical mentoring skills. Excellent project management and organizational skills. Bachelor's degree in Computer Science, Information Technology, or a related field. Benefits Hybrid working model Private health insurance Life insurance Wellness allowance Home office set-up allowance 24 days annual holiday leave + additional days for public holidays falling on weekends Flexible compensation benefits Remote working from abroad options Who We Are Betsson Group is one of the largest companies within the Global iGaming space and can trace our heritage as far back as the 1960’s. We’re Swedish and publicly listed too with our Operational HQ located on the Mediterranean Island of Malta. We strive to deliver the best customer experience in the industry. As a market leader within iGaming we offer online gaming products across 12+ jurisdictions and 20+ brands. You will be part of a passionate team, which is building an industry leading, scalable, multi-brand platform used by hundreds of thousands of our customers! Product Development at Betsson Group Our Product Development organisation is truly Global with cross functional teams spanning 6 Tech Hubs – Malta, Budapest, Stockholm, Tallinn, Malaga and Athens. With around 1,000 strong professionals, the Product Development organisation is spear-headed by our CTO-CPO with all our talented Area Teams working together. Ready to Apply? If this sounds like your next step, please submit your CV in English. By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Location: Philippines Salmon Bank (Rural Bank) Inc., the banking arm of Salmon Group Ltd., is a technology-driven challenger bank in the Philippines operating under a BSP license. We combine the trust of a licensed institution with the speed and convenience of a modern financial product. Work within regulated financial infrastructure, where product, risk, compliance, operations, technology, and customer experience are closely connected. About the Role Salmon is hiring a Payment Partner Settlements Officer to join the Payment Partner Settlement (PPS) Unit within Banking Operations. You will process and monitor payments, settlements, reconciliations, cash movements and transaction exceptions, making sure every entry is properly approved, accurately recorded and fully evidenced. You will work with finance, operations, payment partners, technology, risk and compliance to keep payment flows controlled and reliable. What You’ll Do Settlement and reconciliation operations - Compare reports related to payment partner settlement, and validate data and entries submitted for posting. - Monitor discrepancies and resolve unreconciled customer payments within the aging period. - Ensure all entries have appropriate approvals under the Delegated Authority (DA). - Follow up with internal and external stakeholders to close open items. - Ensure Payment Partners remit customer payments within the agreed turnaround time. Payment partner management - Secure all required documents and complete due diligence before starting business with a Payment Partner. - Support Payment Partner vendor evaluation, and commission and services payments. - Coordinate immediately with Payment Partners on gaps, and hold regular meetings to maintain a smooth relationship. Compliance and complaints - Coordinate CTR/STR matters with Compliance. - Handle and resolve complaints related to payment partner settlements. - Comply with SEC, BSP, AMLC and other regulatory requirements, and help combat money laundering by ensuring required processes are in place. Documentation and evidence - Maintain reconciliation evidence, status trackers, approvals, exception logs and case notes for auditability. - Document processes with the PPS Unit Head, and review and update them on time. - Organize team files (soft and hard copy) in line with the record retention policy, and keep the team audit-ready. End-to-end process ownership - Ensure maker-checker and segregation of duties are in place. - Monitor completion of team tasks within the agreed turnaround time. - Promptly identify and escalate issues, and propose resolutions to your supervisor. - Identify process and system improvements with controls in place, and participate in UAT/UVT for changes that affect the team. Team operations - Act as maker within your delegated authority. - Act as reliever for team members on leave, and across Back Office as needed, without compromising segregation of duties or controls. - Take part in cross-functional assignments within Back Office. Cross-team collaboration - Work closely with the PPS Unit Head, Banking Operations colleagues and Salmon stakeholders in support of the Bank’s business model and strategic direction. - Partner with finance, operations, technology, risk and compliance to keep payment flows controlled. What We’re Looking For - Bachelor’s degree in Business Administration, Finance, Accountancy or a related field - 2-3 years of experience in banking operations, settlements, reconciliation, payments or a related control function (experience in a BSP-supervised institution, especially digital banking, is an advantage) - Working knowledge of payment settlement and reconciliation processes, or the ability to be trained in them - Strong attention to detail and a control mindset, including awareness of approval and delegated authority requirements - Strong documentation and written communication skills - Strong coordination and follow-through skills - Awareness of AML, BSP and other regulatory requirements - Ability to meet the Bank’s fit and proper standards, including pre-employment screening

Location: Poland - Remote Location: Poland – Remote Employment Type: Full-time, B2B Contract Compensation: PLN 12,000–22,000 net + VAT per month (B2B) About PubNub PubNub powers real-time interactive experiences that drive engagement, retention, and monetization. Our market-leading platform for real-time interactive apps enables customers to efficiently and effectively build, manage, and optimize engaging apps that captivate and delight users. Founded in 2012, PubNub is backed by notable investors like The Raine Group, Sapphire, Scale, Relay, Cisco, Bosch, Ericsson, and HPE. To date, over 2,000 companies worldwide, including Amazon, RingCentral, Gameloft, and DAZN, choose PubNub to build and enhance large-scale apps that launch quickly to engage, monetize, and retain users. At PubNub, you’ll enjoy the freedom of a remote-first environment paired with a collaborative culture designed to support your unique work style, so you can do your best work. About Blocks.ai Blocks.ai is a new initiative being built by PubNub, focused on connecting AI agents with the people, applications, and other agents that need to reach them. The team combines early-stage product ownership and experimentation with PubNub's infrastructure and engineering expertise. This role is part of PubNub and is dedicated to Blocks Network. About the Role We're looking for a technically hands-on Developer Advocate to help developers discover, build with, and successfully adopt Blocks.ai. You'll work at the intersection of engineering, developer education, community engagement, and product feedback. From building AI agents and sample applications to creating tutorials, engaging with technical communities, and supporting developer adoption, you'll play an important role in growing the Blocks.ai ecosystem. You'll collaborate closely with Product, Engineering, and Growth to make the platform more accessible and useful for developers and enterprise technical teams. Success in this role means enabling more developers to build and connect working AI agents, increasing engagement with the platform, and turning developer feedback into practical improvements. Key Responsibilities Build working AI agents, demos, sample applications, and reusable templates that demonstrate real-world Blocks.ai use cases. Create technical tutorials, articles, videos, workshops, and developer education materials. Engage with developers through GitHub, Discord, technical forums, community events, and hackathons. Help developers troubleshoot integrations and successfully connect agents, applications, and services. Identify onboarding friction and provide actionable feedback to Product and Engineering, including reproduction steps and improvement recommendations. Collaborate on documentation, SDKs, APIs, and developer tooling improvements. Support technical workshops, demos, and developer discussions with prospective enterprise customers. Track developer engagement, successful integrations, active agents, and ecosystem adoption. About You Minimum Requirements Experience in Developer Relations, Developer Advocacy, Software Engineering, or a similar developer-facing technical role. Strong hands-on programming experience in Python, TypeScript, or another relevant language. Practical experience building AI agents, LLM-powered applications, or integrations using APIs and frameworks. Experience creating technical content, developer demos, workshops, or sample applications. Ability to explain complex technical concepts clearly to developers with different experience levels. Strong problem-solving skills and a developer-first mindset. Experience collaborating with Engineering and Product teams to improve developer experiences. Strong English communication and presentation skills. Nice to Have Familiarity with MCP, agent-to-agent communication, or multi-agent architectures. Experience with emerging AI-agent frameworks and tools. Contributions to open-source projects or developer communities. Experience supporting technical evaluations, integrations, or enterprise developer adoption. Why PubNub At PubNub, you'll help power real-time experiences used by millions around the world. What sets us apart is our people-first culture and strong sense of collaboration. Our team values the opportunity to contribute meaningfully, grow their skills, and help build innovative, high-impact technology. We offer competitive B2B compensation and the flexibility of a remote-first environment. We're committed to fostering collaboration, professional growth, and opportunities to make a meaningful impact. With Blocks.ai, you'll also have the opportunity to help shape an emerging AI-agent platform, influence developer experience, and build a technical community from an early stage. Ready to Make an Impact? If you're passionate about AI agents, love building technical solutions, and enjoy helping developers succeed, we'd love to hear from you. Join us and help grow the developer ecosystem around Blocks.ai. Information Accuracy Candidates are expected to provide accurate, complete, and truthful information throughout the application and hiring process. Any material misrepresentation or omission may affect employment eligibility.

You'll rate and edit the samples we provide, following our guidelines.

Location: Pasig City, Philippines DUTIES & RESPONSIBILITIES: Performs tasks according to the assigned medical writing activities including systematic literature reviews primarily for the generation of Clinical Evaluation Reports (CER), Summary of Safety and Clinical Performance (SSCP), State of the Art (SOA), Post-Market Surveillance (PMS) including Periodic Safety Update Reports (PSUR), and Premarket Approval (PMA) Food and Drug Administration (FDA) Reports, including Humanitarian Device Exemption (HDE), Investigative Device Exemption (IDE) Reports, and Health Economics and Market Access (HEMA) research. The specific tasks are to be determined based on the assigned role in the project. Supports review of work done by peer teammates, on need basis Alerts and escalates to senior members as required, whenever project deliverable risks are visualized, OR issues are encountered impacting the delivery schedule Ensures error-free and acceptable quality of assigned deliverables Responsible for ensuring training compliance and timesheet compliance Ensures that all assigned goals (e.g., utilization and efficiency) are met as per set standards for the performance year Follows and complies with the Company’s Code of Conduct, Policies, and Procedures Responsible for confidentiality, integrity, availability, and safeguarding of data Responsible for reporting of security incidents and PIMS breaches as applicable Complies with company QMS, ISMS, and PIMS requirements and applicable regulatory requirements Demonstrates adherence and compliance to PIMS/GDPR requirements as follows: data processed fairly, transparently, and lawfully; collected for specified and legitimate purposes; adequate, relevant, and limited to the specified purposes; processed in a secure manner ROLE REQUIREMENTS: At least 1-3 years of experience in medical writing, or any related field as applicable Can work in a diverse team environment Good analytical and comprehension skills Proficient in time management and can work with minimal supervision, Proficiency in oral and written English language Proficiency in Microsoft Office Suites (e.g. Word, Excel, PPT, SharePoint). EDUCATIONAL QUALIFICATIONS: Minimum bachelor’s degree in any life sciences field

Responsibilities: - Onboard staff across various departments. - Manage the full hiring process including drafting employment contracts and ensuring compliance with Cypriot labor laws. - Coordinate with government agencies on work permits, visas, and registration. - Organize employee training and development programs and evaluate performance. - Provide HR advice to management and employees. - Maintain internal HR documentation and reporting. Requirements: - Experience in HR, preferably within the financial sector. - Excellent knowledge of Cypriot labor laws. - Experience managing local documentation such as work permits and visas. - Fluency in Russian and English, both written and spoken. - Understanding of HR processes and methodologies. - Strong communication skills and teamwork ability. - Valid work permit for Cyprus. Conditions: - Salary during probation period: €2,500 per month. - Opportunities for career growth and development. - Comfortable office located in the center of Limassol. - Standard corporate benefits. - Professional development and team-building activities. - Visa support is not provided.

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE ROLE We're hiring an experienced Performance Marketer to own and scale paid search and emerging AI advertising channels at LangChain, starting with Google Ads, Bing (Microsoft Advertising), and ChatGPT. You'll own the entire paid acquisition experience, from developing channel strategy and building campaigns to optimizing landing pages, improving conversion rates, and driving qualified pipeline. This is a highly hands-on role. You'll be the person building campaigns, analyzing performance, testing creative, improving landing pages, and identifying new opportunities to scale. We're looking for someone who combines deep paid search expertise with a willingness to experiment with emerging advertising platforms. You should be comfortable managing significant budgets, making data-driven investment decisions, and connecting advertising performance to downstream pipeline rather than just clicks, leads, or conversions. WHAT YOU'LL OWN PAID ACQUISITION STRATEGY AND PIPELINE - Own the strategy across Google Ads, Bing, and ChatGPT advertising, with the opportunity to expand into additional AI-native advertising channels. - Develop channel-specific strategies based on audience intent, available targeting capabilities, and expected pipeline contribution. - Own budget allocation, forecasting, and performance against pipeline targets. - Balance investment across branded, non-branded, competitor, and product-specific campaigns, along with emerging AI advertising opportunities. - Identify opportunities to scale high-performing campaigns and build repeatable playbooks for new channels. - Develop testing roadmaps across audiences, messaging, bidding, conversion experiences, and new advertising formats. END-TO-END CAMPAIGN EXECUTION You'll own campaign execution across all three channels: - Google Ads: Build, launch, and manage campaigns across branded, non-branded, competitor, and product search, including keyword research, match types, negative keywords, bidding, and budget optimization. - Bing / Microsoft Advertising: Develop and manage campaigns tailored to Microsoft's search audience, identifying opportunities to extend reach and capture incremental high-intent demand. - ChatGPT advertising: Develop and execute an early advertising strategy, testing available placements, audience approaches, messaging, and conversion experiences as the platform evolves. - Creative and messaging: Write and test ad copy in partnership with Product Marketing, adapting messaging to each channel and its user intent. - Experimentation: Run structured tests to improve acquisition efficiency, traffic quality, and pipeline conversion. - Campaign operations: Own campaign setup, tracking validation, launch readiness, troubleshooting, and day-to-day optimization. PAID CONVERSION EXPERIENCE AND WEBSITE OPTIMIZATION - Own the website conversion experience for traffic acquired through Google, Bing, and ChatGPT. - Build and optimize dedicated landing pages for paid acquisition campaigns using Webflow or similar tools. - Develop and execute A/B tests across landing page messaging, layouts, CTAs, and forms. - Identify friction across the full user journey, from ad interaction to product sign-up, demo request, or meeting booking. - Optimize conversion paths for both developers exploring LangSmith and enterprise buyers evaluating commercial solutions. - Partner with Marketing Operations to improve form conversion, qualification, routing, and meeting booking. - Ensure landing page experiences reflect the user's intent and context across different advertising channels. MEASUREMENT, REPORTING, AND OPTIMIZATION - Own performance reporting across spend, traffic, conversions, qualified leads, meetings, opportunities, and pipeline. - Develop channel-specific measurement frameworks for Google Ads, Bing, and ChatGPT based on their available reporting and conversion capabilities. - Partner with Marketing Operations to connect advertising conversion signals with HubSpot and Salesforce data. - Optimize established search channels toward downstream pipeline signals, including offline conversion tracking where supported. - Establish a testing and measurement approach for emerging channels where attribution and optimization capabilities may be less mature. - Analyze performance across channels, audiences, campaigns, and landing pages to identify where to invest, optimize, or reduce spend. CROSS-FUNCTIONAL PARTNERSHIP - Partner with Product Marketing to translate positioning into search campaigns, AI advertising messaging, and landing page experiences. - Work closely with Web and Design on landing page development and conversion experimentation. - Collaborate with Marketing Operations on tracking, attribution, CRM integrations, and reporting accuracy. - Align with Demand Generation on product launches, campaign priorities, budget allocation, and pipeline targets. WHAT WE'RE LOOKING FOR - 5–11 years in performance marketing, paid search, or B2B growth marketing, ideally in developer tools, infrastructure, or technical SaaS. - Deep hands-on expertise in Google Ads and experience managing Microsoft Advertising. - Proven experience personally building, launching, and optimizing paid search campaigns. - Strong understanding of campaign architecture, keyword intent, bidding strategies, negative keywords, and search budget optimization. - Experience testing new advertising platforms or emerging acquisition channels. Curiosity about AI-native search and advertising is important. - Strong experience with conversion rate optimization, landing page development, and A/B testing. - Experience managing meaningful budgets and optimizing toward qualified pipeline and revenue outcomes. - Strong analytical skills and fluency in CPC, CVR, CPL, cost per opportunity, pipeline contribution, and attribution. - Working knowledge of Google Ads, Microsoft Advertising, GA4, Google Tag Manager, HubSpot, Salesforce, and Flint/Webflow. - Comfortable with technical products and developer audiences. - A strong experimentation mindset and willingness to build new programs without an established playbook. - Comfortable with ambiguity and true ownership. COMPENSATION We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Salary Range: $165,000-$190,000 COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: San Jose, California, United States 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. About the Opportunity We are looking for an experienced engineer to lead the architecture and hands-on development of the ML and data infrastructure behind our risk and fraud prevention systems. You will help teams move models from experimentation into reliable production services, improve model execution performance, and build scalable data foundations for training, evaluation, and real-time decisions. What You’ll Be Doing Improve model inference latency, throughput, resource utilization, and cost. Profile the full prediction path —from feature retrieval and preprocessing to model execution — and deliver measurable improvements without unacceptable model-quality regressions. Build reusable infrastructure for model packaging, versioning, deployment, serving, monitoring, and rollback across cloud platforms and regions. Design and optimize offline data pipelines on Databricks, Apache Spark, and warehouse/lakehouse technologies, addressing data modeling, partitioning, joins, shuffles, skew, incremental processing, and cost. Connect offline and online feature pipelines, ensuring point-in-time correctness, consistent feature definitions, freshness, lineage, and reproducible backfills. Evolve reliable feature services and data integrations supporting risk models and decision systems. Set technical direction, mentor engineers, and lead delivery across ML, data engineering, cloud infrastructure, security, and product teams. What We Look For In You A record of building and operating large-scale distributed systems, ML infrastructure, or data platforms, with technical ownership across teams. Hands-on experience optimizing production model performance, supported by measurable improvements in latency, throughput, utilization, or cost. Deep understanding of Databricks and Spark, or comparable offline data platforms, including execution plans, distributed query optimization, storage layouts, data correctness, and workload cost management. Experience with the model lifecycle, including training/serving integration, validation, deployment, observability, and rollback. Strong Python, SQL, and at least one backend or systems language such as Java, Scala, Go, or C++. Ability to turn ambiguous requirements into clear architecture and deliver maintainable systems through hands-on engineering and technical leadership. Nice to Haves SageMaker, Alibaba Cloud PAI/EAS, or comparable ML platforms. Inference optimization using tools such as ONNX Runtime, TensorRT, or Triton. Delta Lake, MLflow, feature stores, Kafka, Flink, and low-latency data stores. Fraud detection or financial risk systems. Fluency in Mandarin Perks & Benefits Competitive total compensation package L&D programs 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! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $214,666 to 321,999 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. #LI-SK1 #LI-HYBRID 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: Chicago, IL or Remote CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy , creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we’re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and seamlessly. We’re pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair journey. Through purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at www.cccis.com . The Role As a Senior Machine Learning Engineer, you'll own models and evaluations end to end within a problem area and turn the results into product decisions. You'll join a new engineering group at CCC building AI-native products for our auto casualty business, the injury side of auto claims. The group is small and senior, and it's growing fast. Our teams work on: Medical bills: AI products that help claims teams handle the medical bills on injury claims accurately and efficiently. Claims decision support: products that help claims professionals make better, faster decisions on injury claims. Agentic Rules Platform: the rules engine and agentic tooling behind decisions across our casualty products, plus the evaluation infrastructure every team relies on. Your impact: You'll show, with evidence, whether our AI works and whether it's worth it. You'll build models on real claims data, design the evaluations that compare our AI with expert decisions, and measure the impact customers see. Most of our products run on large language models, so you'll combine statistical modeling with LLM evaluation and write the production code to ship both. Salary range is: $180,000 - 225,000 This position is bonus eligible. Key Responsibilities: Build and ship statistical, ML, and hybrid LLM models (including retrieval and embeddings) on real claims data Design evaluations and gold datasets with data labelers and subject matter experts, and run them continuously as the product changes Measure impact through experiment design, baselines, and ROI analysis, and explain the results clearly to product, sales, and customers What success looks like: In your first month , you've run your first evaluation on real data and shared what you found. By six months , you've shipped a model or evaluation to production, and a product decision was made on evidence you produced. Requirements: Typically 5+ years of experience in machine learning, data science, or quantitative engineering roles A strong quantitative foundation (statistics, probability, experiment design) from a degree, research, or equivalent experience Strong Python and SQL, and a track record of taking models to production and measuring how they perform Hands-on experience with both statistical ML and LLM-based approaches (RAG, embeddings, vector search), including evaluating LLM outputs Real experience working faster with AI-assisted tools, with examples you can walk us through Nice to have Causal inference, survival analysis, or calibration methods applied to business decisions Experience fine-tuning models for domain-specific tasks Interview Policy & Privacy Notice: A video interview is required for this position. Video interviews are transcribed. Transcriptions are retained and may be reviewed by CCC and our recruiters. Candidates are not permitted to use generative AI or automated assistance during the interviews unless explicitly allowed by the interview team for a specific exercise. Our Job Applicant Privacy Notice is available HERE . About CCC's Commitment to Employees: CCC Intelligent Solutions understands that our employees play an integral role in our vision to shape a world where life just works. Our team is defined by our values of Integrity, Customer-Focus, Innovation, Inclusion & Diversity, Tenacity, and Connection. Through diverse perspectives, purposeful innovation, and the strength of connections, our technologies empower the people and industry relied upon to keep lives moving forward when it matters most. At CCC, together everyone can thrive as we innovate and collaborate, creating employee experiences that just work. We are committed to providing opportunities for our people to make real-life impacts, advance in their careers, and contribute to CCC’s success. CCC offers competitive compensation and benefits to support you and your families, including: 401K Match Paid time off Annual Incentive Plan Performance Bonus Comprehensive health insurance Adoption Assistance Tuition Reimbursement Wellness Programs Stock Purchase Plan options Employee Resource Groups For more information about our benefits, please check out our careers site . Here, you belong. You are seen, valued, and respected. We celebrate you for who you are and all you bring. Every voice is heard and is important to our success. You can hear what employees have to say about our culture here

Location: Chicago, IL or Remote CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy , creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we’re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and seamlessly. We’re pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair journey. Through purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at www.cccis.com . The Role As a Senior AI Engineer, you'll own agents end to end within a problem area, from the first prototype to measured performance in production. You'll join a new engineering group at CCC building AI-native products for our auto casualty business, the injury side of auto claims. The group is small and senior, and it's growing fast. Our teams work on: Medical bills: AI products that help claims teams handle the medical bills on injury claims accurately and efficiently. Claims decision support: products that help claims professionals make better, faster decisions on injury claims. Agentic Rules Platform: the rules engine and agentic tooling behind decisions across our casualty products, plus the evaluation infrastructure every team relies on. You'll build the AI agents behind our products. They work with complex documents and claim data, call tools, and support claims experts in their daily work. You'll own the orchestration, retrieval, evaluations, and guardrails that make them safe to rely on, and you'll write the production code to ship them. Salary range is: $180,000 - 225,000 This position is bonus eligible. Key Responsibilities: Design and build LLM-powered agents and workflows: orchestration, tool use, retrieval, structured extraction, and human-in-the-loop review Build evaluations with data labelers and subject matter experts, and run them on every change Make agents production-grade: guardrails, observability, cost and latency, and careful handling of sensitive health data What success looks like: In your first month, you've shipped a measured improvement to an existing agent. By six months, an agent you built is in production with customers, backed by evaluation results. Requirements: Typically 5+ years of professional software or ML engineering experience, including meaningful recent work with LLMs Strong production engineering skills in Python, including API services, and comfort working in TypeScript At least a year of shipping LLM-powered products to real users, including retrieval (RAG, embeddings, vector search) and prompt engineering Experience designing evaluations for non-deterministic systems, and the habit of measuring before and after every change A quantitative mindset: you're comfortable with metrics, sampling, error analysis, and knowing when a result is real Real experience shipping faster with AI-assisted or agentic engineering tools, with examples you can walk us through Nice to have: Document understanding, OCR, or extraction from complex documents Experience fine-tuning LLMs or working with multimodal data Interview Policy & Privacy Notice: A video interview is required for this position. Video interviews are transcribed. Transcriptions are retained and may be reviewed by CCC and our recruiters. Candidates are not permitted to use generative AI or automated assistance during the interviews unless explicitly allowed by the interview team for a specific exercise. Our Job Applicant Privacy Notice is available HERE . About CCC's Commitment to Employees: CCC Intelligent Solutions understands that our employees play an integral role in our vision to shape a world where life just works. Our team is defined by our values of Integrity, Customer-Focus, Innovation, Inclusion & Diversity, Tenacity, and Connection. Through diverse perspectives, purposeful innovation, and the strength of connections, our technologies empower the people and industry relied upon to keep lives moving forward when it matters most. At CCC, together everyone can thrive as we innovate and collaborate, creating employee experiences that just work. We are committed to providing opportunities for our people to make real-life impacts, advance in their careers, and contribute to CCC’s success. CCC offers competitive compensation and benefits to support you and your families, including: 401K Match Paid time off Annual Incentive Plan Performance Bonus Comprehensive health insurance Adoption Assistance Tuition Reimbursement Wellness Programs Stock Purchase Plan options Employee Resource Groups For more information about our benefits, please check out our careers site . Here, you belong. You are seen, valued, and respected. We celebrate you for who you are and all you bring. Every voice is heard and is important to our success. You can hear what employees have to say about our culture here

Location: US - Culver City, California, United States Scopely is hiring a Corporate Finance Manager to join our Finance team in Culver City on a hybrid basis. Corporate Finance oversees company-wide financial planning and reporting, and you will have broad visibility into Scopely’s P&L and business operations. You will own Scopely’s corporate close and reporting cadence, a core part of the role while automation matures. Success means progressively replacing manual processes with AI-native automation until the cadence runs itself. As automation frees capacity, your focus will shift to higher-impact work: partnering across the company to evaluate returns and facilitate growth of Scopely-wide initiatives. Why This Role Stands Out Lead the Automation: Be part of an AI-first finance team and drive Corporate Finance process improvement and automation projects from concept to launch See the Big Picture: Consolidate Scopely-wide financials across all our titles including leading games like MONOPOLY GO!, Pokémon GO, MARVEL Strike Force, and Star Trek Fleet Command Guide Leadership: Partner directly with the CFO to evaluate the company’s trajectory, surfacing risk early, and shaping mitigation plans. Prepare and present reporting deliverables to the CFO and finance leadership Size the Return: Model returns on competing initiatives with cross-functional partners to inform investment decisions. Grow Your Craft: Report to the Corporate Finance Senior Director who will invest in your development with hands-on mentorship What We're Looking For Experience: 5+ years in corporate finance, FP&A, investment banking, consulting, or other strong analytical roles. Experience with month-end close, consolidation, and financial reporting. Process Improvement: Demonstrated ability to develop scalable financial processes and introduce automation that reduces repetitive manual work Financial Modeling & Analytics: Advanced Excel/Google Sheets skills with a demonstrated ability to build models that size the financial impact of company-wide initiatives Stakeholder Management: Proven ability to partner with senior cross-functional stakeholders, build consensus, and influence decisions without direct authority.Communication: Excellent written and verbal communication skills with the ability to synthesize complex analysis into clear, concise narratives and recommendations Nice to Have Experience with financial systems (Oracle, Workday Adaptive Planning) and data platforms (BigQuery). A genuine interest in games, consumer products, or technology-driven businesses. For candidates in CA, CO, NJ, NY, and WA, the annual salary range is provided below. In addition to base pay, employees may be eligible for equity, bonuses, and a comprehensive benefits package, including healthcare benefits, retirement benefits, pet insurance, paid holidays, paid Scopely free days, and unlimited paid time off. Base pay offered may vary depending on job-related knowledge, skills, and experience. CA, CO, NJ, NY, and WA Annual Salary Range $113,000 — $168,000 USD About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Claude Partner Network is how consulting firms, systems integrators, and other services partners build practices around Claude. When a company chooses a partner, it wants to know which firms have done this work well, in its industry and for its use case. Specializations are how the program will give it: credentials showing that a partner has demonstrated expertise in a given domain area. As Partner Specializations Lead, you'll own this program end to end: the requirements a firm has to meet, the evidence review that decides who qualifies, the benefits that make a specialization worth earning, and the operating rhythm that keeps it credible year after year. Your job is to take an early framework into a structure that scales: opening it to thousands of partners, running evaluation cycles, and launching new specializations with cross-functional input. This role suits someone who likes owning a standard. You'll work with partner managers, operations, enablement, marketing, and industry teams who each hold a piece of the program, and with senior leaders at partner firms who care a great deal about the outcome. A specialization only means something if it's earned, so you'll need to be rigorous with evidence, consistent in your decisions, and firm and clear when the answer is no. Key responsibilities Own each specialization's requirements, evidence standards, and benefits, and keep them current as our products and the partner network change Run each evaluation cycle from invitation to decision: collect partner evidence, reconcile it against internal data, lead the review, and document every decision Make and defend qualification decisions, including borderline cases, and apply the standard consistently across firms of very different sizes Communicate outcomes to partner executives and their Anthropic account teams, including clear guidance for firms that did not qualify Open the program to the wider partner network, and recommend which specializations come next based on customer demand, partner readiness, and Anthropic's priorities Define the evidence standard for new specializations with Applied AI, Product, and industry go-to-market teams Coordinate the teams that deliver the program's benefits (marketing, the partner directory, field enablement, technical support) so that earning a specialization leads to something real Work with Partner Enablement so that partner learning paths and certifications support each specialization Build the operating rhythm: renewal, remediation periods, an appeals path, and the tracking and reporting that show whether the program is working Design the review process to scale, using Claude and automation so that routine steps don't depend on a person Write and maintain partner-facing guidance (program guide sections, FAQs, application materials), clear enough for a partner to know where it stands without asking us, and internal guidance for field teams Use program data to recommend where each requirement's bar should sit and when it should move, and bring those recommendations to partner leadership Minimum qualifications Experience owning an external-facing program with published requirements (a partner, channel, certification, accreditation, or similar program), including running at least one full evaluation, qualification, or renewal cycle Experience making qualification or eligibility decisions against a written standard and communicating those decisions, including declines, to senior external stakeholders Experience working with CRM or PRM data, such as Salesforce reports or a partner portal, as a regular part of your job Strong writing: able to produce clear program requirements, decision memos, and partner-facing guidance that need little editing Experience leading work to a fixed date across several teams you do not manage, such as operations, marketing, enablement, and field teams Work effectively where the process is still being built and the details are still changing Are excited about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications Experience designing or running a partner competency, specialization, or credential program at a technology company Experience with services partners (systems integrators, consultancies) from either side: managing them at a vendor, or building a practice around a vendor's technology at a firm, and an understanding of how those firms decide where to invest their people SQL or BI-tool skills sufficient to pull and check your own program data Experience taking a program from its first launch to a repeatable operating cycle Experience launching a program publicly with marketing and communications partners Enough technical depth to judge whether a partner's evidence of a software or AI deployment holds up Experience working with customers in regulated or specialized industries, such as financial services, healthcare, or the public sector Experience designing partner benefits or incentives, and an understanding of how they change partner behavior Hands-on experience building AI workflows with Claude or similar tools, and curiosity about how AI changes professional services delivery The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Canada About Improvado Improvado is a marketing data and AI analytics platform for enterprise brands and agencies. We connect 500+ marketing and sales data sources, normalize them through a governed data model, and put an AI agent on top so marketing teams can ask questions of their own data without going through BI or IT. What we sell: extraction and 500+ connectors; data transformation (SQL and dbt-compatible); Marketing Data Governance — taxonomy, naming, data-quality rules; warehouse and storage; dashboards; AI agent and MCP access to live marketing data; DECS, data engineering as a service on a 2 to 4 week SLA. Who buys it: Economic buyers: CMO, VP Marketing, VP Demand Gen, agency COO and ops leadership Technical evaluators: VP or Director of Marketing Analytics, marketing analysts, data engineering, sometimes IT and security Segments: enterprise brands, mid-market, agencies Verticals: pharma and healthcare, financial services, retail and eCommerce, gaming, agencies Why this role, now Our messaging is not aligned. Positioning, web, sales pitch, product and content each carry a different version of what Improvado is. The market categorizes us as "marketing ETL" while we position as an AI marketing analytics platform. That gap costs us deal quality and price. The category is crowded and moving fast. Battlecards exist but decay, and nobody owns keeping them true. Attribution, incrementality and causal measurement is where deals are won and lost — and it is the hardest thing to argue credibly without hand-waving. Analyst firms are a silent blocker. When an enterprise buyer asks Gartner or Forrester about Improvado, there is no briefed narrative waiting for them. You would not start from a blank page. We already have a positioning registry, roughly 11 documented buyer personas, a pain-point and value-prop library, competitor intel reports and about 10 battlecards. They are inconsistent and under-used. Your first job is to make one version true and make people use it. What you'll own Positioning and messaging. Core positioning, category framing and message hierarchy across ICPs and personas. ICP and persona documentation that is used, not filed. The messaging layer of new product and feature launches, including the internal rollout that makes the field able to sell it. Competitive intelligence and win/loss. A structured win/loss interview program with quarterly readouts. Living battlecards. Monitoring competitor positioning, pricing and product moves, and driving our counter-positioning. Sales enablement. The core pitch narrative, demo storyline and objection-handling framework. The messaging components of new-rep onboarding. A standing weekly cadence with Sales leadership — not quarterly check-ins. Direct support on competitive and enterprise deals: RFPs, security and technical evaluations, displacement plays. Market and analyst relations. The Improvado narrative for Gartner, Forrester and category influencers, so that a buyer's analyst call becomes an accelerator rather than a blocker. Feeding structured market and buyer insight back into product prioritization. What we're looking for 4 to 8 years in product marketing, or an equivalent blend of product marketing with marketing analytics, marketing or data ops, sales engineering, analytics consulting, or product management on a data product. Category fluency in marketing data and measurement: attribution models, incrementality testing, MMM, data governance and taxonomy, warehouses and ETL/ELT — including where each is honestly weak. B2B SaaS sold to marketing or data buyers. Marketing analytics, martech, measurement, CDP, BI and data-infrastructure vendors are the reference profile. Proof you have shipped, not just documented: positioning that changed the website and the pitch, battlecards reps actually opened, a win/loss program that survived past its second quarter. Writing that survives contact with a skeptical technical buyer — claim and evidence, not adjective stacking. Comfort operating close to Sales: weekly cadence, deal reviews, live calls, direct feedback. Nice to have: hands-on SQL, dbt or BI, enough to validate a claim yourself. Experience marketing AI capabilities without hype. Analyst-relations experience. Agency-side or enterprise-brand background. Vertical depth in pharma and healthcare, financial services, retail and eCommerce, or gaming. Not a fit if: your product marketing has been mostly launch logistics and content calendars; you need a fully staffed team and a finished brand system to be effective; you are uncomfortable being told in a deal review that your messaging did not work. How we measure success Win rate in competitive deals against our top 3 named competitors, baseline set in month 1. Stage-to-stage conversion on open opportunities, particularly discovery to demo to proposal. Time-to-first-deal for new reps. Field adoption of enablement assets — measured, not assumed. Win/loss program running on cadence, with themes that visibly change product and GTM decisions. Message consistency: a quarterly audit across web, deck, product UI and content. What We Offer Remote-first environment Strong product/market fit: marketing data product for US-based enterprises 20 working days of PTO per year US holidays and additional days off Professional development reimbursement

Location: San Jose, California, United States 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 We are seeking a Model Risk Director focused on Fraud and AI to join OKX’s Model Risk Management (MRM) function. As a senior member of the second line of defense (2LOD), this leader will provide independent oversight and effective challenge of fraud models used to detect, prevent, and manage fraud risk across OKX’s products and customer journeys. The role will lead end-to-end validation of fraud models, from conceptual soundness, data and implementation review to outcomes analysis, performance monitoring, and remediation follow-up. The portfolio may include supervised machine learning models, anomaly detection, graph and network analytics, rules-based or hybrid systems, and AI-enabled fraud applications. The ideal candidate brings deep hands-on experience in fraud model validation, strong quantitative judgment, and practical experience assessing AI/ML models. This person will partner closely with Fraud, Risk, Product, Data Science, Engineering, Compliance, and Audit teams while maintaining the independence of the MRM function. This is a hands-on, builder role: the successful candidate will independently establish the fraud model validation capability from the ground up, personally execute validations, and play a leading role in assessing AI-enabled systems. What You’ll Be Doing Establish and own the independent validation framework for fraud models and AI-enabled decision systems across OKX products, covering conceptual soundness, data quality, implementation, and outcomes analysis, in line with SR 26-2 and equivalent model risk frameworks. Assess model conceptual soundness, intended use, assumptions, and limitations. Personally execute end-to-end model validations as the technical expert, including independently reproducing results through hands-on data analysis and code review. Assess AI/ML and generative AI applications, including LLM-based and agentic systems, for robustness, reliability, explainability, and appropriate human oversight, applying strong applied AI evaluation expertise. Perform ongoing monitoring review and periodic revalidation to ensure sustained model performance through changing fraud patterns and business conditions. Provide effective challenge to model owners; communicate conclusions, limitations, and risk ratings clearly to senior management and governance forums, and track remediation through closure. Build and continuously mature the fraud model validation capability, standards, and workflows within MRM. What We Look For In You Master’s or Ph.D. in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline, or equivalent experience. 10+ years of quantitative, fraud risk, or model risk experience, with a recognized track record as a hands-on technical expert who personally delivers independent validations of models and decision systems. Excellent communication and judgment, including the ability to explain quantitative findings to senior audiences and constructively challenge model owners. Practical experience with statistical and machine learning methods; proficiency in Python and SQL; working knowledge of SR 11-7 or equivalent model risk and AI governance frameworks. Experience with AI/ML governance and controls, including explainability, fairness, robustness, ongoing monitoring, or generative and agentic AI applications in fraud operations. Nice to Haves Experience establishing validation frameworks, methodologies, or capabilities in settings where they did not previously exist. Strong applied AI capability: hands-on experience evaluating or building ML/LLM-based systems in production, including prompt engineering, evaluation harnesses, fine-tuning assessment, or agentic AI workflows; able to run red-team style testing on AI applications. Perks & Benefits Competitive total compensation package 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! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $200,000 - $300,000 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. 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: New York, United States 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 We are seeking a Model Risk Director focused on Fraud and AI to join OKX’s Model Risk Management (MRM) function. As a senior member of the second line of defense (2LOD), this leader will provide independent oversight and effective challenge of fraud models used to detect, prevent, and manage fraud risk across OKX’s products and customer journeys. The role will lead end-to-end validation of fraud models, from conceptual soundness, data and implementation review to outcomes analysis, performance monitoring, and remediation follow-up. The portfolio may include supervised machine learning models, anomaly detection, graph and network analytics, rules-based or hybrid systems, and AI-enabled fraud applications. The ideal candidate brings deep hands-on experience in fraud model validation, strong quantitative judgment, and practical experience assessing AI/ML models. This person will partner closely with Fraud, Risk, Product, Data Science, Engineering, Compliance, and Audit teams while maintaining the independence of the MRM function. This is a hands-on, builder role: the successful candidate will independently establish the fraud model validation capability from the ground up, personally execute validations, and play a leading role in assessing AI-enabled systems. What You’ll Be Doing Establish and own the independent validation framework for fraud models and AI-enabled decision systems across OKX products, covering conceptual soundness, data quality, implementation, and outcomes analysis, in line with SR 26-2 and equivalent model risk frameworks. Assess model conceptual soundness, intended use, assumptions, and limitations. Personally execute end-to-end model validations as the technical expert, including independently reproducing results through hands-on data analysis and code review. Assess AI/ML and generative AI applications, including LLM-based and agentic systems, for robustness, reliability, explainability, and appropriate human oversight, applying strong applied AI evaluation expertise. Perform ongoing monitoring review and periodic revalidation to ensure sustained model performance through changing fraud patterns and business conditions. Provide effective challenge to model owners; communicate conclusions, limitations, and risk ratings clearly to senior management and governance forums, and track remediation through closure. Build and continuously mature the fraud model validation capability, standards, and workflows within MRM. What We Look For In You Master’s or Ph.D. in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline, or equivalent experience. 10+ years of quantitative, fraud risk, or model risk experience, with a recognized track record as a hands-on technical expert who personally delivers independent validations of models and decision systems. Excellent communication and judgment, including the ability to explain quantitative findings to senior audiences and constructively challenge model owners. Practical experience with statistical and machine learning methods; proficiency in Python and SQL; working knowledge of SR 11-7 or equivalent model risk and AI governance frameworks. Experience with AI/ML governance and controls, including explainability, fairness, robustness, ongoing monitoring, or generative and agentic AI applications in fraud operations. Nice to Haves Experience establishing validation frameworks, methodologies, or capabilities in settings where they did not previously exist. Strong applied AI capability: hands-on experience evaluating or building ML/LLM-based systems in production, including prompt engineering, evaluation harnesses, fine-tuning assessment, or agentic AI workflows; able to run red-team style testing on AI applications. Perks & Benefits Competitive total compensation package 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! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $200,000 - $300,000 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. 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: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Staff Software Engineer, Data Governance & Trust San Mateo, CA About the role Sony Interactive Entertainment is seeking a Staff Software Engineer to help shape and deliver the technical foundation for Data Governance and Trust across our data and AI ecosystem. Our ambition is to make data understandable, reliable, reusable, and appropriately governed for the people, applications, and AI systems that depend on it. Achieving this requires shared platform capabilities, clear ownership, and governance practices embedded into how teams build and operate data products. In this role, you will establish technical direction, lead initiatives across teams, and remain hands-on in architecture and implementation. You will connect metadata, lineage, data quality, semantic context, and policy controls into practical capabilities that help teams use data with confidence. You will also be a trusted technical representative for the Data Governance and Trust group. We are looking for someone who can lead productive discussions, explain complex tradeoffs, navigate difficult conversations, and build alignment across engineering, business, governance, security, and privacy stakeholders. This is an individual contributor leadership role with impact across teams. What you will do Set technical direction and deliver shared capabilities Shape the architecture and technical roadmap for Data Governance and Trust in partnership with engineering leadership, product partners, domain teams, and governance stakeholders. Lead initiatives from discovery and ambiguous requirements through design, implementation, adoption, and ongoing operation. Design and build services, integrations, APIs, and automation that connect metadata, ownership, classification, lineage, quality signals, and policy information across the data ecosystem. Establish reusable engineering patterns that embed trust requirements into data publishing, discovery, access, consumption, change, and retirement. Stay hands-on through prototypes, production code, design reviews, and the resolution of complex technical problems. Lead conversations and build alignment Serve as a technical spokesperson for the group in architecture discussions, planning forums, domain engagements, and leadership reviews. Facilitate discussions among stakeholders with different priorities, surface disagreements constructively, and guide decisions toward clear outcomes. Explain technical choices, business implications, risks, and costs to both engineering and nontechnical audiences. Challenge assumptions respectfully, incorporate feedback, and help teams reach workable agreements on standards, ownership, and implementation. Document decisions, clarify responsibilities and dependencies, and follow through on commitments across teams. Build relationships that enable adoption through credibility, collaboration, and influence. Make governance practical and sustainable Partner with governance, security, privacy, and domain stakeholders to translate agreed requirements into implementable controls and traceable evidence. Help domain teams define data contracts, quality expectations, ownership responsibilities, and lifecycle practices supported by shared platform capabilities. Connect quality and reliability signals to accountable owners, consumer communications, and remediation workflows. Evaluate build, buy, and integration choices based on interoperability, usability, reliability, operating cost, and long-term flexibility. Measure success through improvements in approved data use, adoption, reliability, reuse, and operational effort. Prepare the foundation for AI consumption Develop ways to make business meaning, provenance, quality status, and permitted-use information available to applications and AI through supported interfaces. Partner with AI and platform teams on governed access to data and context, including traceability and defined behavior when required trust information is missing. Support shared semantic definitions and metadata models while preserving clear accountability within business domains. Strengthen the team Mentor engineers in system design, technical judgment, stakeholder engagement, and leadership. Raise engineering standards for reliability, maintainability, testing, observability, and documentation. Help engineers take broader ownership and communicate their recommendations effectively. What you bring A track record of designing, building, and operating production software or data platforms, with demonstrated impact across multiple teams. Deep knowledge of metadata management, data governance, lineage, data quality, privacy engineering, access controls, or closely related platform domains, grounded in practical delivery. Hands-on expertise building or extending metadata and catalog platforms such as Atlan, Alation, DataHub, OpenMetadata, or comparable systems. A practical understanding of federated ownership models, data stewardship, semantic models, business glossaries, or certified metrics. The ability to work across warehouse, lakehouse, streaming, and data transformation environments. Demonstrated delivery of data contracts, automated lineage, quality checks, or policy as code. Sound judgment in translating ambiguous business or policy requirements into clear technical designs and delivered outcomes. Proven ability to lead initiatives across teams without direct reporting authority. Skill in leading difficult technical or organizational conversations, resolving competing priorities, and securing clear decisions and commitments. Strong written and verbal communication, including architecture proposals, decision documents, and presentations tailored to different audiences. A collaborative approach grounded in listening, respectful challenge, and shared accountability. A commitment to mentoring engineers, supported by examples of improving the effectiveness of the teams around you. What would be valuable Strong software engineering skills, including proficiency in a language such as Python, Java, or Go, and practical SQL experience. Experience with distributed systems, APIs, integrations, and cloud data infrastructure, including sound judgment about reliability, consistency, security, and failure handling. Experience implementing controls that generate operational evidence. Delivering governed data or context services for analytics, applications, machine learning, or AI agents. Leading platform adoption, modernization, or migration across organizational boundaries. Representing technical work through internal forums, technical writing, communities of practice, or external presentations. What success looks like Partner teams understand the technical direction, the decisions required, and their responsibilities. Cross-team discussions produce documented decisions, accountable owners, and sustained follow-through. Priority workflows demonstrate connected governance capabilities in production, supported by clear operating ownership. Producers and consumers can access relevant meaning, ownership, lineage, quality, and permitted-use information within their workflows. Shared patterns reduce repeated implementation work and manual coordination. Engineers across the group grow in technical judgment, communication, and leadership. #LI-KS1 At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $216,200 — $324,400 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Remote: United States; San Francisco HQ; SF or Remote (US/Canada); Remote: Canada Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE Most infrastructure engineers never get to build a cloud from the metal up. At Render, you will. Developers and businesses around the world run their apps on Render, and we are building our own bare metal footprint to give them better performance and economics. You'll help take our first colocation site from an empty cage to production workloads, then scale that foundation as we expand our physical presence to thousands of hosts over the coming years. You'll join a small, experienced team with real ownership. You'll partner closely with network engineering and our Kubernetes platform team, and the decisions you make now will become the template for every site that follows. WHAT YOU'LL DO - Take our first colocation site from empty cage to production workloads, then scale what you build as we grow to more sites and thousands of hosts - Design how servers go from the loading dock to production with minimal human touch: netboot, imaging, BMC-driven discovery, and host identity - Partner with network engineering on what the fleet needs from the network, from out-of-band management to production connectivity - Build the interface our Kubernetes platform team uses to request capacity, see host health, and coordinate maintenance, so consuming bare metal feels as easy as consuming cloud - Own the fleet's source of truth for hardware, software, and the physical environment - Automate the full server lifecycle, from burn-in and acceptance testing through remediation, staged firmware rollout, and RMA - Build automation like a production system, with guardrails on destructive actions and designs that survive site-level failure - Shape the technical and operational direction of our bare metal platform, from build-vs-buy decisions to how we operate thousands of hosts, and help hire the team that runs it WHAT WE'RE LOOKING FOR - Hands-on experience building and operating automation for bare metal fleets in datacenters or colocation - Both sides of the work: time with physical hardware and colo providers, and modern, software-driven fleet management - Strong Go or Python, and experience designing systems with reconciliation loops and idempotent, failure-tolerant actions - Depth below the abstraction: you know what your tools are doing under the hood and can debug them when they fail - Experience operating through real failures, such as bad hardware batches, flapping BMCs, or a rollout you had to halt - Deep Linux knowledge and solid networking fundamentals (DHCP, PXE, DNS, BGP) - Working knowledge of Kubernetes, enough to design the interface between the fleet and the clusters that run on it - Clear communication, comfort with ambiguity, and the willingness to push back on a plan when something doesn't add up NICE-TO-HAVES - Operating bare metal fleets at a scale of thousands of hosts - Experience on a bare metal or datacenter build-out from its early days - Running a hybrid environment, or moving workloads between public cloud and owned hardware - DCIM/IPAM tools such as NetBox or Nautobot, or provisioning stacks such as Ironic/Metal3, Tinkerbell, or MAAS - Building reconcilers or state machines for physical infrastructure - Hardware depth: component diagnostics, burn-in tooling, firmware, or Redfish and IPMI at fleet scale - Building internal platforms or APIs used by other infrastructure teams - Based near our colocation sites, or able to visit them regularly If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view