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Location: Singapore WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy projects while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: Monitor execution across equities, FX, Futures and other asset classes, trading in different regions. Provide first-line support for any issues arising from the automated execution flow. Conduct project work in areas including adding new liquidity to the execution platform and reducing the cost of implementing WorldQuant’s models. Analyze large datasets to guide further automation and refinement of execution desk processes. Interface directly with Portfolio Managers, Brokers, Senior Management, Compliance, Risk and many other teams. What You’ll Bring: Degree in a quantitative or technical discipline from a top tier institution 1+ years of work experience gained in a buy-side or sell-side institution in a Trading, DevOps or Analytics role supporting investment strategies Enthusiasm to learn more about financial markets and execution trading Experience with scripting languages (Python) and databases (SQL) a strong plus Experience with at least one mainstream asset class (equities, FX, fixed income, credit, derivatives) By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: Chicago DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. The Team: The IAM Team is a net-new, vanguard group that will own, implement, and drive DRW’s comprehensive identity capabilities, aligning them to evolving business requirements. This dedicated group collaborates with stakeholders to advance agentic identity, enhanced authentication and authorization controls, and other emerging identity and security innovations, with potential expansion into customer identity and access management (CIAM). The Role: We are seeking an experienced Identity Engineer to own the delivery, operation, and continuous improvement of our enterprise authentication and authorization services. The IAM team is responsible for the security, compliance, availability, and user experience of these services; you'll execute implementations, participate in and influence design decisions, and ensure integrations across on ‑ prem and cloud environments meet SLAs and control requirements. The role focuses on SSO, federation, MFA, and secure access management. Key Responsibilities: Own, implement, and operate end-to-end enterprise authentication and federation solutions; drive architecture reviews and collaborate to influence design decisions , ensuring security, compliance, availability, and performance. Implement, configure, and support SAML 2.0, OAuth 2.0, OpenID Connect (OIDC), LDAP, and JWT ‑ based integrations. Integrate identity solutions with enterprise, third ‑ party applications, APIs, SaaS platforms, and custom web/mobile apps, including SSO, provisioning (SCIM/API), and secure API authentication. Implement MFA, adaptive authentication, fine ‑ grained access policies, and authorization models that meet security standards. Support identity lifecycle and directory integrations with IAM and directory services (e.g., Entra ID/Azure AD, Active Directory, ADFS) and provisioning systems. Troubleshoot authentication/authorization flows; perform root ‑ cause analysis, incident response, and performance tuning. Ensure compliance with security, audit, and regulatory requirements and support related assessments. Collaborate closely with security, infrastructure, application, and DevOps teams to deliver and operate identity services. Create and maintain runbooks, SOPs, operational procedures, and technical documentation. Required Qualifications: Strong written and verbal communication, stakeholder management, and cross ‑ team collaboration skills. 5+ years of experience in Identity & Access Management (IAM), or equivalent hands-on experience. Strong hands-on experience implementing and operating commercial identity platforms and enterprise identity services (Ping AIC and PingFederate preferred, or the ability to implement required features in Ping). Deep knowledge of SSO, federation, and authentication/authorization protocols (SAML 2.0, OAuth 2.0, OpenID Connect, JWT). Experience integrating with directory and lifecycle systems (Active Directory/LDAP, Azure AD/Entra ID, ADFS) and provisioning (SCIM/API). Practical experience with MFA, adaptive authentication, fine-grained authorization, and access policy enforcement. Strong troubleshooting skills across authentication flows, certificates, TLS, networking, and related infrastructure. Scripting/automation skills (Shell, Python, Go, PowerShell) and familiarity with IaC/CI-CD tools (Terraform, Ansible, or similar). Comfortable working in Linux environments and producing operational runbooks and technical documentation. Bonus Points: Experience in banking or financial services (regulated enterprise environments). Hands ‑ on cloud experience (AWS, Azure/Entra, or GCP) and container platforms (Docker, Kubernetes). Experience with API security, OAuth/OIDC for APIs, and zero ‑ trust architectures/use cases. Practical experience with CIAM or customer identity projects. Ping Identity certifications or other security/identity certifications. Observability and monitoring experience for identity services (Prometheus, ELK, Splunk, etc.) The annual base salary range for this position is $150,000 to $200,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-LD1]

Location: South Africa; United Kingdom; United Arab Emirates; Namibia; Spain; Germany About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team. Job Type: 2 week Project Engagement: Independent Contractor Job Summary Are you a sales professional who knows QuickBooks inside and out and wants to shape the future of Artificial Intelligence? This team is seeking experienced Sales Development Representatives and Sales Ops experts to stress-test frontier AI systems. In this role, you will use your real-world expertise to challenge AI models with complex sales scenarios, ensuring they can handle the nuances of pricing, forecasting, and customer communication. Your work will directly influence how the next generation of AI supports global sales teams. Key Responsibilities Develop realistic, high-complexity sales prompts that mimic the daily demands of a Sales Manager or Business Owner. Create tasks involving tiered pricing, discount structures, and QuickBooks data exports to test the model’s ability to generate accurate pipelines and forecasts. Produce high-quality deliverables including spreadsheets, quotes, proposals, and outbound email sequences. Evaluate AI-generated outputs with a critical eye, reviewing them as you would a junior rep’s work before it reaches a client. Author objective scoring rubrics with precise, checkable criteria to allow other professionals to grade model performance consistently. Requirements 5+ years of experience in Sales, Account Management, or Sales Operations with a proven track record of hitting targets. 3-4+ years of hands-on experience using QuickBooks (Online or Desktop) for estimates, invoicing, and sales reporting. Exceptional written English and an uncompromising eye for detail. Immediate availability to commit 40 hours per week for a 2-week intensive engagement. Ability to work independently as a contractor and deliver high-quality work on a flexible schedule. Nice-to-Haves Prior experience in data annotation or training AI models. Deep familiarity with CRM workflows and advanced sales automation tools.

Location: Kyiv, Ukraine; Uzhhorod, Ukraine; Lviv, Ukraine; Odesa, Ukraine; Vinnytsia, Ukraine; Chernivtsi, Ukraine Are you interested in technical content around AI and machine learning? Label Your Data is looking for a Content Writer to create high-quality content for our blog, social media, and newsletter. You’ll help us build authority in the ML space as a specialist AI training data provider. You’ll work closely with our Head of Content Marketing, who will provide context, priorities, feedback, and support while giving you room to take ownership of your work and contribute your own ideas. What you will do: Write SEO/AEO blog articles on AI/ML, data annotation, and related technical topics; Create content for our social media channels and newsletter; Monitor AI/ML news and industry trends, and suggest relevant content ideas; Conduct in-depth research to produce technically accurate, audience-focused content; Develop visual concepts and prepare clear design briefs for blog articles and social media posts; Own content delivery end-to-end and take responsibility for its quality across blog and social media. What we need: Advanced English; 3+ years of B2B content writing experience, ideally in tech or AI; Prior experience writing about AI/ML, data science, or related technical topics; Solid understanding of SEO/AEO principles and best practices; Strong research skills and the ability to explain complex topics clearly; Strategic content thinking: the ability to understand the audience, purpose, angle, and business goal behind each piece before writing; Ability to connect audience challenges with Label Your Data’s expertise and how our team can help, rather than simply explain a topic broadly; Responsible use of AI writing tools with rigorous human editing and fact-checking; A proactive, self-organized, and results-oriented mindset, with a willingness to suggest ideas, take on new formats, and grow beyond assigned tasks; Basic Figma experience would be a plus. We offer: Competitive monthly rate in USD; Business hours; Opportunity to work fully remotely; Greenhouse conditions for self-development; Inclusive international environment; Supportive and collaborative team; Paid intensive training and trial period; Responsive management interested in your growth and long-lasting cooperation. If you take ownership of your work, enjoy learning, and want to grow as a content specialist in the AI/ML space, we’d love to hear from you. 📌 Important: Please share no more than 3 portfolio pieces you’re most proud of and that best reflect our content expectations. Keep them organized in one place (no long link lists, multi-folder submissions, or published website links). Avoid surface-level pieces that start with a generic H2 “What is...?” explainer — we want to see your original thinking, audience understanding, and approach to shaping content. *We celebrate diversity and are proud to be an equal opportunity employer.

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. Sr. Principal Engineer, Data & Machine Learning San Mateo, CA Why PlayStation Data & Intelligence PlayStation reaches more than 100+ million people. Behind those experiences is one of the largest consumer data estates in entertainment: tens of petabytes under management and trillions of telemetry events a year, powering personalization, experimentation, partner analytics and enterprise decisions across the company. We are in the middle of a multi-year shift in how that data creates value. Today intelligence often arrives after the moment has passed. Our goal is a connected intelligence layer where trusted context about players, content, partners and the business is built once, reused everywhere, activated at the point of decision, and improved by evidence about what happened next. That includes serving AI models and agents with the same governed meaning, quality and permissions we give to people. This role helps shape how that is built across PlayStation. The Role We are looking for a Senior Principal Engineer, Data & Machine Learning to serve as chief architect for our Data & Intelligence organization and as the senior technical authority for how SIE builds, reuses and activates trusted data and intelligence. This is one of SIE’s most senior individual-contributor roles. You will report directly to the Vice President of the organization, sit on the leadership team alongside the Sr. Directors who run our two delivery portfolios, chair our architecture review forum, and lead a community of Principal Engineers anchored to the major architectural seams. You will have no direct reports by design; your leverage comes from the architecture, the standards and the decisions the whole organization builds against. This is a hands-on role. You will author architectures and reference implementations, prototype uncertain approaches, review the designs and code that matter most, and step in directly when a technical problem puts an important outcome at risk. What You’ll Own You will set the architecture for, and drive reuse across, the initiatives that define the next three years of data and intelligence at PlayStation: A single, reusable understanding of the player. The context, lifecycle and lifetime-value intelligence that powers experiences and decisions across PlayStation, built once and reused rather than rebuilt per use case. Content and game understanding. Intelligence about titles, experiences and how players engage with them, connected through engagement and content graphs to improve discovery, personalization and new AI experiences. Creator and partner intelligence. Reusable title, launch and lifecycle intelligence available to partners at the point of decision, before launch, while live and after. Unified measurement. Experimentation, attribution and causal measurement so the company knows what changed an outcome, by how much, and what to do next. Activation. Real-time signals, activation data products and APIs that deliver trusted context into the systems that personalize and act. Semantic and conversational intelligence. A shared layer of business meaning and metrics that people, analytical tools and AI agents can query and trust. Enterprise decision data. Decision-grade finance and supply-chain data that accelerates transformation programs across SIE. Trusted foundations and golden paths. Data contracts, certification, lineage, unified events and standard publish-to-consume paths, with trust designed into the lifecycle; and launch data readiness so priority launches have their signals and measures from day one. What You’ll Do Translate our multi-year Data & Intelligence strategy into a coherent technical strategy and target architecture, with clear principles for trusted data products, ML systems, shared intelligence, evaluation, activation and lifecycle management. Chair the architecture review forum: set its charter and cadence, publish decisions, track adoption and hold the line on non-conforming designs. Own the boundary decisions between platform capabilities built for reuse and domain delivery, and keep them stable. Define and ratify the standards teams build against: data contracts, golden paths, model evaluation and experimentation, observability, reliability, cost and lifecycle management. Lead the technical direction of our hardest cross-organizational initiatives; author proposals, reference designs and prototypes that establish a credible path from concept to production. Work directly with engineering and data science teams to remove critical blockers, so that decisions become usable capabilities rather than architecture on paper. Partner with security, privacy, legal, governance and responsible-AI teams to embed controls throughout the data and ML lifecycle, including the responsible use of proprietary data, third-party and foundation models, and externally hosted AI services. Identify duplicative capabilities, drive rationalization and retirement, and improve interoperability across SIE’s data and ML landscape. Advise senior executives on major technical investments, tradeoffs, emerging capabilities and long-term risk; produce the written recommendations that drive annual planning. Connect technical investment to named consumers, decisions and measurable outcomes; define how we measure adoption, reuse, time-to-action, quality, reliability, safety and cost. Lead a community of Principal Engineers; mentor Principal, Staff and Senior engineers, architects, ML engineers and data scientists. Represent SIE’s data and machine learning direction in senior leadership forums, partner organizations and, where appropriate, the broader industry. What We’re Looking For 15+ years in software, data or machine learning engineering, including 9+ years leading the architecture and delivery of large-scale, complex systems. A track record of authoring architectures, standards or platforms that were adopted across multiple organizations and stayed in use. Experience taking data, ML or decisioning systems serving tens of millions of consumers into production and operating them at scale. Experience chairing, or being the deciding technical voice in, an architecture review forum spanning multiple engineering organizations. Deep expertise in at least two of: reusable data products, semantic and metadata layers and data contracts; ML platforms, lifecycle management, evaluation and decisioning; real-time signals, distributed inference and activation platforms; experimentation and causal measurement; generative AI, retrieval and agentic systems; responsible AI, privacy and technical governance. Strong command of distributed systems, cloud, data architecture, APIs, security, reliability, observability and performance engineering. Demonstrated ability to influence senior executives, engineering and product leaders, and cross-functional partners without direct authority. Outstanding written communication. This role leads through documents. Experience mentoring Staff, Principal or similarly senior technical professionals. Master’s degree in Computer Science, Machine Learning, Engineering or a related discipline, or equivalent experience. Nice to Have Data and ML applied in gaming, entertainment, media, digital commerce or another large-scale consumer ecosystem. Personalization, recommendations, customer intelligence, content intelligence, experimentation or predictive decisioning at scale. Shared data or ML platforms serving multiple products and organizational domains. Feature, vector, graph, semantic or knowledge platforms; AI gateways and LLMOps. Experience translating research or emerging technology into production capabilities. Contributions to the field through open source, patents, publications, standards or conference talks. Why You’ll Love This Role Set the technical direction for data and intelligence across PlayStation. Own the architecture behind experiences reaching more than 100 million people. Report directly to the VP and sit on the organization’s leadership team. Build once, reuse everywhere: the mandate is to end duplicated work, not add to it. Work with strong Principal and Staff engineers, data scientists and product leaders across the company. Stay hands-on at the most senior IC level. #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. $304,200 — $456,200 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: Englewood Cliffs, NJ Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations.  Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions.  Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment.  Join us and become a part of a company that is shaping the future of technology.  At LG, we strive to make Life Good for Everyone. Employee Relations Manager We are seeking an experienced Employee Relations Manager with HR Business Partner expertise to lead employee relations for key business units across the United States. In this role, you will foster a positive organizational culture and strengthen people management capabilities through training, coaching, and workforce analytics. You will lead workplace investigations—including complex, high-risk cases—in partnership with Legal, Compliance, and business leadership. You will also own compliance and risk management responsibilities across all HR practices and policies (including PTO, severance, leaves, and anti-discrimination) for an extended HR shared services environment spanning multiple manufacturing and office locations. The ideal candidate is a trusted advisor with sound judgment, exceptional communication skills, and a passion for building an ethical, inclusive workplace. This role operates at a manager level in scope and requires the ability to achieve measurable improvements in engagement, performance, and risk mitigation within a multicultural, multilingual environment. Performance Goals Analyze employee relations trends and recommend proactive solutions to strengthen culture and reduce risk; reduce repeat complaints and grievances year-over-year through targeted interventions. Close employee relations cases within agreed SLAs while maintaining legally defensible documentation. Develop and facilitate manager coaching and training programs that improve manager effectiveness scores and increase participation through engaging content. Lead investigations and corrective actions that reduce legal exposure and mitigate litigation risk in high-stakes cases. Identify systemic issues and launch prevention initiatives that measurably improve engagement and retention in assigned business units. Educate and coach leaders assigned from headquarters on U.S. employment law, regulatory expectations, and workplace practices. Key Responsibilities Employee Relations & Investigations Serve as the lead HR partner for employee relations: intake, triage, investigation, resolution, and documentation. Resolve complex employee relations issues in alignment with company values and legal compliance requirements. Conduct impartial workplace investigations and produce clear, defensible reports with actionable recommendations. Partner with Legal, Internal Audit, Compliance, and Compensation on high-risk and sensitive matters. Manager Development & Coaching Coach leaders on performance management, progressive discipline, restructuring, and terminations to ensure consistency, compliance, and cultural competency. Design and deliver high-impact manager training on topics such as performance coaching, difficult conversations, and anti-harassment. Serve as a key stakeholder in initiatives to strengthen people manager capabilities across the organization. Provide assimilation support and ongoing coaching for internationally assigned leaders to help them effectively manage employees in the U.S. context. Compliance, Policy & Analytics Design, communicate, and deliver training on policy enhancements for employees and managers at all levels. Maintain company policy documentation—online and in handbooks—ensuring it is accurate, accessible, and user-friendly. Conduct HR process audits across key compliance and regulatory areas to measure effectiveness. Track employee relations metrics, produce trend analyses, and implement targeted prevention programs. Develop and monitor key analytics, KPIs, and audit indicators in partnership with HR Centers of Excellence for core programs (compensation decisions, promotions, learning and development, performance distributions). Manage Affirmative Action Plan (AAP) compliance and related matters. Culture & Engagement Play a visible role in HR department and company-wide cultural and employee engagement initiatives, including Global Culture Council and Employee Resource Groups. Contribute to continuous improvement of employee relations processes, tools, and reporting. Provide backup support to HRBPs on specific matters or during peak periods as needed. Qualifications Required 10+ years of HR experience, including 5+ years in employee relations handling complex investigations, sensitive situations, or labor relations Proven track record of reducing employee relations incidents and improving manager performance through coaching and process improvements Strong investigative, analytical, and written and system reporting skills Deep knowledge of employment law, policy interpretation, and risk mitigation obtained through HRBP experience Exceptional communication skills across all formats, with strong interpersonal professionalism and problem-solving abilities High emotional intelligence and credibility with senior leaders Demonstrated ability to handle confidential and sensitive matters with discretion Ability to work on-site five days per week in Englewood Cliffs, NJ, if in the commutable area, or one of the main LGE facilities in the US Willingness to travel as needed for training delivery, investigations, forums, or conferences Preferred HRBP experience in a global or matrixed organization Experience communicating employment matters across diverse cultural perspectives and organizational levels #LI-GJ1` Recruiting Range $115,000 — $160,000 USD Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied .

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As a member of the Compute Strategy & Operations team, you will sit at the intersection of supply intelligence, demand forecasting, and cross-functional execution, turning a complex, fast-moving hardware market into a predictable, reliable foundation for our customers and internal engineering teams. This is not a purely analytical role. You will own the end-to-end capacity planning process: from translating customer commitments and growth forecasts into concrete supply requirements, to coordinating fulfillment across vendors, finance, and the infrastructure team, to building the systems that make all of this repeatable and scalable. When supply is constrained and tradeoffs are unavoidable, you are the person in the room who can model the options, make a clear recommendation, and drive alignment fast. You are a strong fit if you have operated at the intersection of strategy and execution before — someone who is equally comfortable building a capacity model in a spreadsheet and running a cross-functional war room when a customer deployment is at risk. EXAMPLE INITIATIVES - Demand-Supply Alignment Framework: Build and own the process that translates customer pipeline, signed commitments, and growth projections into a forward-looking GPU demand signal — so the team is never caught flat-footed when a customer scales faster than expected. - Constrained Allocation Playbook: Define the decision framework for how Baseten allocates scarce GPU supply across competing customers and regions, including escalation paths and tradeoff criteria for leadership. - Capacity War Room Ownership: Lead cross-functional response when a high-stakes capacity situation arises — coordinating across Sales, SRE, Finance, and Vendor relationships to resolve it with minimal customer disruption. - Strategic Briefings for Leadership: Produce clear, concise capacity health reports and scenario analyses for senior leadership, enabling confident decisions on customer commitments, vendor negotiations, and CapEx allocation. RESPONSIBILITIES - Own the capacity planning process end to end: intake, triage, prioritization, fulfillment tracking, and post-mortem learnings - Translate customer commitments, sales pipeline, and infrastructure growth targets into concrete GPU demand forecasts across regions, GPU types, and timelines - Partner with Finance to model capacity scenarios, evaluate new supply opportunities, and support CapEx decision-making - Work closely with the Capacity Acquisition team to align supply procurement with forward demand, flagging gaps and risks early - Coordinate cross-functionally across Sales, SRE, and Infrastructure teams to resolve capacity conflicts and ensure customer commitments are honored - Build and maintain the operational cadence that keeps capacity planning structured, visible, and free of ad-hoc Slack chaos - Develop reporting and dashboards that give leadership a real-time view of capacity health, utilization trends, and risk exposure - Identify recurring operational gaps in the capacity lifecycle and drive process improvements that reduce toil and improve reliability REQUIREMENTS - 5+ years of experience in strategy, operations, consulting, finance, or a similarly analytical and execution-oriented role - Demonstrated ability to own complex, cross-functional processes with multiple stakeholders and competing priorities - Strong quantitative and modeling skills — comfortable building demand forecasts, scenario analyses, and capacity models from scratch - Excellent communication skills, with a track record of distilling ambiguous situations into clear recommendations for senior leadership - High ownership mindset: you identify what is broken, build the fix, and follow through until it is working - Operates well under pressure and in ambiguous, fast-moving environments where the playbook does not yet exist NICE TO HAVE - Familiarity with GPU infrastructure, cloud platforms, or AI/ML ecosystem - Experience in a high-growth startup or Series B+ environment where operational processes were being built from scratch - Exposure to vendor or partner management, particularly in hardware, cloud, or infrastructure contexts BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco; New York City Perplexity Computer is one of the defining products of the new era of agentic AI. Millions of people use Perplexity to transform knowledge into action, and the Agent Capabilities team sits at the intersection of frontier AI research and product innovation, building the foundations that shape how users and agents solve increasingly complex tasks. As every major breakthrough in AI models creates new possibilities, the Agent Capabilities team is responsible for turning frontier AI breakthroughs into reusable product capabilities. We are often the first to evaluate emerging model capabilities, determine where they create real user value, and transform them into reliable, scalable, high quality experiences for both users and agents. This is a highly leveraged role with broad ownership at the intersection of frontier AI research, agent systems, platform engineering, and product innovation. Tech Stack: Python | Go | Rust | PostgreSQL | DynamoDB | AWS | TypeScript WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Evaluate frontier models against real user tasks, identify useful behaviors and failure modes, and turn the most promising advances into production agent systems. Own the lifecycle from rapid prototyping and evaluation through launch, monitoring, and iteration. - Improve agents’ ability to plan, use tools, manage context, recover from errors, and complete long-running tasks reliably. - Apply state of the art ML and LLM techniques to design scalable agent capabilities such as skills, plugins, artifact generation, tools integrate and use, auto-research, and multi-agent collaboration. Shape the architecture, abstractions, and product experiences that enable both users and agents to compose increasingly sophisticated solutions for real-world tasks. - Own agent behavior and capabilities end-to-end, from user-facing products and interfaces to backend services. Define offline and online evaluations for task completion, correctness, safety, latency, cost, and user satisfaction. Iteratively improve across models, prompts, harnesses, and products for different problem spaces. - Build secure, observable, and reliable agent systems, including permissions and safeguards for sensitive actions. Develop tracing, replay, and monitoring infrastructure that makes agent failures reproducible and actionable. - Collaborate closely with PM, Data Science, Research, to identify high-impact opportunities in understanding and validating emerging model capabilities, and turn complex agent behaviors into simple, reliable product experiences. - Apply relevant advances in models, inference, evaluation, and agent architecture when they produce measurable improvements in production performance. Set technical direction on ambiguous problems and raise the bar through design reviews, mentorship, and technical leadership. QUALIFICATIONS - Typically 6+ years of professional software engineering experience, with a track record of building and owning robust AI-powered, large-scale, user-facing or data-intensive products. Exceptional candidates with less experience and an outstanding record of impact are encouraged to apply. - Strong software engineering fundamentals, with experience building and operating AI/ML products, backend services, or distributed systems at scale. - Experience owning the AI product lifecycle, including data analysis, rigorous evaluation, production monitoring, and iterative improvement. Able to define metrics and use production data and user feedback to guide decisions. - Practical experience in one or more relevant areas, such as agent harnesses, tool use, context engineering, model evaluation, browser automation, or long-running task execution. - Strong product judgment and execution: you can translate ambiguous user needs into applied AI or ML problems and ship durable solutions with measurable user impact. - Genuine interest in frontier AI capabilities, agent systems, and excitement for rapidly exploring, evaluating, and productizing new model behaviors. NICE TO HAVE - Experience with LLM context engineering or harness engineering, experience with subagents, coding assistants, long-running or autonomous task execution. - Deep familiarity with the strengths and limitations of current model families across reasoning, tool use, context management, and long-horizon tasks. - Experience building agent permissions, safeguards, evaluation infrastructure, or production observability systems. - Experience with mid-training, post-training, or reinforcement learning for frontier or open-source models, along with a strong understanding of model strengths and limitations across reasoning, tool use, context management, and long-horizon tasks. - AI/ML research experience demonstrated through publications, open-source contributions, or other meaningful research impact. - Time spent at a fast-growing startup or on a high-ownership engineering team.

Location: San Francisco; New York City Perplexity Computer is one of the defining products of the new era of agentic AI. Millions of people use Perplexity to transform knowledge into action, and the Agent Capabilities team sits at the intersection of frontier AI research and product innovation, building the foundations that shape how users and agents solve increasingly complex tasks. As every major breakthrough in AI models creates new possibilities, the Agent Capabilities team is responsible for turning frontier AI breakthroughs into reusable product capabilities. We are often the first to evaluate emerging model capabilities, determine where they create real user value, and transform them into reliable, scalable, high quality experiences for both users and agents. This is a highly leveraged role with broad ownership at the intersection of frontier AI research, agent systems, platform engineering, and product innovation. Tech Stack: Python | Go | Rust | PostgreSQL | DynamoDB | AWS | TypeScript WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Evaluate frontier models against real user tasks, identify useful behaviors and failure modes, and turn the most promising advances into production agent systems. Own the lifecycle from rapid prototyping and evaluation through launch, monitoring, and iteration. - Improve agents’ ability to plan, use tools, manage context, recover from errors, and complete long-running tasks reliably. - Apply state of the art ML and LLM techniques to design scalable agent capabilities such as skills, plugins, artifact generation, tools integrate and use, auto-research, and multi-agent collaboration. Shape the architecture, abstractions, and product experiences that enable both users and agents to compose increasingly sophisticated solutions for real-world tasks. - Own agent behavior and capabilities end-to-end, from user-facing products and interfaces to backend services. Define offline and online evaluations for task completion, correctness, safety, latency, cost, and user satisfaction. Iteratively improve across models, prompts, harnesses, and products for different problem spaces. - Build secure, observable, and reliable agent systems, including permissions and safeguards for sensitive actions. Develop tracing, replay, and monitoring infrastructure that makes agent failures reproducible and actionable. - Collaborate closely with PM, Data Science, Research, to identify high-impact opportunities in understanding and validating emerging model capabilities, and turn complex agent behaviors into simple, reliable product experiences. - Apply relevant advances in models, inference, evaluation, and agent architecture when they produce measurable improvements in production performance. Set technical direction on ambiguous problems and raise the bar through design reviews, mentorship, and technical leadership. QUALIFICATIONS - Typically 6+ years of professional software engineering experience, with a track record of building and owning robust AI-powered, large-scale, user-facing or data-intensive products. Exceptional candidates with less experience and an outstanding record of impact are encouraged to apply. - Strong software engineering fundamentals, with experience building and operating AI/ML products, backend services, or distributed systems at scale. - Experience owning the AI product lifecycle, including data analysis, rigorous evaluation, production monitoring, and iterative improvement. Able to define metrics and use production data and user feedback to guide decisions. - Practical experience in one or more relevant areas, such as agent harnesses, tool use, context engineering, model evaluation, browser automation, or long-running task execution. - Strong product judgment and execution: you can translate ambiguous user needs into applied AI or ML problems and ship durable solutions with measurable user impact. - Genuine interest in frontier AI capabilities, agent systems, and excitement for rapidly exploring, evaluating, and productizing new model behaviors. NICE TO HAVE - Experience with LLM context engineering or harness engineering, experience with subagents, coding assistants, long-running or autonomous task execution. - Deep familiarity with the strengths and limitations of current model families across reasoning, tool use, context management, and long-horizon tasks. - Experience building agent permissions, safeguards, evaluation infrastructure, or production observability systems. - Experience with mid-training, post-training, or reinforcement learning for frontier or open-source models, along with a strong understanding of model strengths and limitations across reasoning, tool use, context management, and long-horizon tasks. - AI/ML research experience demonstrated through publications, open-source contributions, or other meaningful research impact. - Time spent at a fast-growing startup or on a high-ownership engineering team.

Location: Bulgaria; Czech Republic; Slovenia; Spain; Albania; Greece; Croatia; Estonia; Serbia; Poland; Armenia; Portugal; Italy; France / Paris; Türkiye; Romania; Slovakia Workplace: Remote JOB DESCRIPTION Location: Remotev- EMEA (occasional travel to client sites and HQ) Start date: ASAP Languages: Fluent English is mandatory; French is a plus Industry: AI Infrastructure / Sovereign Cloud / Modular Data Centers Pragmatike is recruiting on behalf of a fast-growing European deep-tech company building a sovereign, energy-efficient alternative to traditional hyperscale cloud providers. Our client is one of the very few companies in the sector to control the full value chain end to end flexible energy sourcing, modular data center infrastructure, and distributed orchestration software, delivered as one integrated AI compute platform. As part of its rapid growth, the company is strengthening the Finance team of its infrastructure division, which deploys modular micro data centers for cities, institutions, energy producers and enterprises. PROFESSIONAL BACKGROUND: We're looking for a senior Finance Business Partner who is equally comfortable working with internal operational and commercial teams and engaging directly with end clients. This is not a pure reporting role: you will build the financial models that underpin investment decisions, and you'll be confident presenting and defending ROI directly in front of a client or partner. Experience in a startup or hyper-growth environment, and/or in infrastructure, energy or capex-heavy industries (data centers, industrials, cleantech), is a strong plus. Autonomy, analytical rigor and ease with client-facing communication are essential. YOUR RESPONSIBILITIES: - Act as Finance Business Partner to the commercial, operations and product teams, bringing financial analysis to bear on their key decisions. - Build and maintain financial simulation models (business plans, unit economics per infrastructure unit, deployment scenarios) to support the company's growth strategy. - Model and present ROI and TCO of infrastructure deployments directly to clients (cities, institutions, energy producers, enterprises), supporting the commercial team throughout the sales cycle. - Own monthly financial reporting, profitability analysis by site/unit, and tracking of key performance indicators (margin, cash conversion, payback period). - Contribute to budgeting and forecasting, and challenge operational assumptions in partnership with business teams. - Analyze the cost structure of manufacturing and deploying infrastructure units, and identify optimization levers with the industrial/production teams. - Prepare financial materials for governance bodies (executive committee, board, investors) and support due diligence for fundraising or asset financing. - Collaborate with finance teams across the group's other operating companies to ensure consistency of models and consolidated reporting. WHAT YOU BRING: - Proven senior-level experience in corporate finance, FP&A, or business finance, ideally in a capex-intensive environment (infrastructure, energy, industrials, telecom, data centers). - Excellent financial modeling skills (advanced Excel, ROI models, NPV/IRR, multi-scenario business plans). - Demonstrated ability to present and simplify complex financial analysis for non-financial audiences, including clients and partners. - Solid understanding of the cost and profitability mechanics of physical assets (capex, depreciation, operating costs, recurring revenue). - Strong analytical skills, structured thinking, and rigor in producing finance deliverables under time pressure. - Fluent English (mandatory, international working environment); working knowledge of French is a plus. - Comfortable operating in a fast-growing environment with shifting priorities and limited established process. NICE TO HAVE: - Prior experience in AI infrastructure, cloud, data centers, or renewable energy. - Familiarity with asset financing mechanisms (project finance, leasing, structured financing) applied to industrial equipment. - Experience in a multi-entity / multi-country environment, with group-level consolidated reporting. - Interest in BI and reporting automation tools (Power BI, SQL, scripting). - Prior experience in consulting, investment banking, or private equity, with a focus on infrastructure or the energy transition. WHY JOIN US: Our client is one of the very few companies worldwide to control the entire AI infrastructure value chain, from energy through to orchestration software. You will join a team deploying a tangible technology, modular units operational within months, on an ambitious growth trajectory toward becoming one of the largest distributed infrastructure networks globally. Expect real autonomy from day one, direct access to clients and group leadership, and the opportunity to build the financial foundations of a company building something that doesn't exist yet. Pragmatike is dedicated to a fair, transparent, and inclusive recruitment process. We ensure that no applicant is discriminated against based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with the General Data Protection Regulation (GDPR), your personal data will be processed lawfully, fairly, and securely. We collect and use your personal data solely for recruitment purposes, including sharing it with our client(s) for employment consideration. You have the right to request access, correction, or deletion of your data at any time. We are committed to maintaining the confidentiality and security of your information throughout the recruitment process.

Location: London, UK Workplace: OnSite ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Ramp is building its UK partnerships ecosystem, and we're looking for a Channel Partner Manager who can turn relationships across a myriad of industries into meaningful customer opportunities. This is a generalist role for someone who can see where a partnership makes sense, move quickly, and build momentum across a varied partner portfolio. You'll identify how and where Ramp can create value for a prospective partner's customer base, then carry the relationship through to qualified introductions and customer adoption. You'll learn what uniquely motivates each partner and turn early success into a repeatable flywheel of referrals. Some relationships will need to be built from the ground up; others will need sharper activation and follow-through. The mix will evolve, so you should be comfortable moving between different partner models while staying focused on commercial outcomes. You'll work closely with Ramp's UK Sales team and colleagues in Partnerships, Marketing, Events, Product, and Engineering to connect the right partners and customers and make each introduction count. WHAT YOU'LL DO - Build and manage a varied portfolio of UK partners, adapting your approach to each relationship and industry. - Identify how Ramp can create value for a prospective partner's customer base, then prioritize relationships with the clearest path to fast execution. - Understand what matters to each partner and shape a referral motion that gives them a compelling reason to keep bringing relevant customers to Ramp. - Create repeatable sources of qualified introductions through partner enablement, account mapping, joint campaigns, events, and warm networks. - Use business communities, hospitality, and executive events when they can create relevant introductions and measurable commercial value. - Coordinate partner introductions and follow-up with Ramp's Sales team so opportunities have a clear owner and a strong customer experience. - Track partner activity from introduction through qualified opportunity and customer adoption; use the data to refine each motion and focus time on what works. - Run regular partner reviews, keep commitments moving across teams, and represent Ramp credibly with partner executives and prospective customers. WHAT YOU NEED - 5+ years of experience, including 3+ years in partnerships, business development, partner sales, account management, or commercial strategy. - A record of building trusted senior relationships and delivering measurable commercial results through partners. - The ability to learn different partner business models quickly, understand their customers, and spot where Ramp can create value. - Strong commercial judgement in prioritizing prospects, shaping warm introductions, and managing opportunities with sales teams. - Experience executing partner go-to-market activity, such as enablement, account mapping, campaigns, events, or co-sell programs. - Comfort using performance data to assess partner activity, report results, and adjust course. - Excellent written, verbal, and listening skills, with the ability to work across partner organizations and internal teams. - A hands-on, organized working style that keeps multiple relationships and commitments moving at once. - UK-based, with flexibility to travel across the UK and attend occasional evening or weekend partner events. NICE TO HAVES - A background in strategy consulting or investment banking. - Experience creating B2B pipeline through partner networks, executive events, hospitality, or account-based campaigns. - Familiarity with UK small and medium-sized businesses and the finance leaders who buy and use Ramp's products. - Experience building a new partner motion in a growing market or adapting a successful approach to a new partner category. WHAT SUCCESS LOOKS LIKE - Ramp has a prioritized UK partner portfolio with a clear customer opportunity and path to activation for each active relationship. - Partners and Ramp teams know who owns each introduction, opportunity, and next step. - Partner activity produces a consistent flow of relevant introductions, qualified opportunities, and customers. - Partners continue to bring relevant referrals because the relationship creates value for their customers and for their own business. - The strongest partner motions are repeatable, and the team has evidence to decide where to invest next. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Barcelona; Paris; Amsterdam Workplace: Remote ABOUT VOODOO Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way. This remote role is located within a two-hour time difference of CET. TEAM Our Gaming team is made up of hybrid-casual, casual, and mid-core experts. Our 'Core' games team supports internal and external studios worldwide in creating, developing, and launching new hit games, whilst our 'Live' games team focuses on delivering higher engagement on our existing and successful games. Joining our Live games team means collaborating with gaming industry experts on globally renowned, enduring games while embracing exciting new entrepreneurial ventures. With over seven billion downloads worldwide and a portfolio of more than 10 resilient hybrid games generating more than $20m per year, we are the world's largest and most successful hybrid publisher. You will be joining one of our Live Studios, working on Paper.io http://Paper.io 2 https://play.google.com/store/apps/details?id=io.voodoo.paper2&hl=en_US. With Paper.io http://Paper.io 2, we’re building an iconic game that players will never forget! We're a small team of excellent people who take care of everything from ideas to testing, and we intend to grow while maintaining our high standards.   ROLE As a Concept Artist focusing on Concept Art, you will play a vital role in shaping the visual identity of Paper.io http://Paper.io 2 https://play.google.com/store/apps/details?id=io.voodoo.paper2&hl=en_GB. Collaborating closely with the Art Director, you will create, develop, and integrate stunning game assets, elevating the production quality of our live games as we transition them into the casual space. - Art Creation: - Design and produce high-quality concept art for characters, environments, and props. - Work on illustrations for icons or stylised assets that align with the game’s aesthetic. - Creating key art illustrations with final render. - Collaboration: - Partner with the Art Director to align on visual style and direction. - Actively contribute by providing creative ideas and constructive feedback. - Conceptualisation: - Gather references, brainstorm ideas, and create mock-ups that clearly communicate the artistic vision. - Contribute to the creative direction by delivering compelling and innovative designs.   PROFILE - Experience: - 4+ years as a Concept Artist, in the mobile gaming industry. - Strong capabilities in concept art, including a keen eye for detail, composition, and style. - Ability to adapt to different visual styles and produce assets that align with the game’s vision. - Strong Illustration skills - Technical Proficiency: - Skilled in tools like Maya, Blender, Unity, and Photoshop. - Proficient in low-poly modelling and texturing pipelines; familiarity with Maya rigging workflows is a plus. - Experience working with Unity - Familiar with AI pipelines - Soft Skills: - Excellent communication skills, with the ability to convey ideas clearly and collaborate effectively with a multidisciplinary team. - Resourceful and proactive, with the ability to troubleshoot and iterate effectively. - Strong problem-solving abilities   Nice to have - Create low-poly 3D models, including texturing, to meet both technical and artistic requirements. - Experience in VFX creation or animation.   BENEFITS - Best-in-class compensation - Other benefits according to the country you reside

Location: Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Warsaw, Poland; Yerevan, Armenia Do you care about building a user base from scratch, testing unproven acquisition channels, and implementing wild ideas beyond paid search? Are you enthusiastic about shipping now, preferring to go live with rough ideas today over polishing presentations for next month? If so, this is the role for you. In this role, you’ll join the team building Qure , an AI copilot for web testing automation. This desktop app turns manual testing flows into production-ready automated scripts, saving hours of manual coding. We’re a seven-person team funded directly by JetBrains. About JetBrains Innovation Hub JetBrains builds software development tools used by more than 15 million people, over 300,000 companies, and 88 of the Fortune Global Top 100. Innovation Hub is its internal startup incubator, where small autonomous teams build new products, funded and employed by JetBrains. Qure runs inside the Innovation Hub with its own roadmap, go-to-market strategy, and customers. For you, that means a founding role without the runway risk. You build acquisition from zero, with the funding, benefits, and stability of an established company behind you. What you’ll do Qure is a fresh product, so the acquisition channel map is practically blank. Paid search, video, newsletters, marketplaces, paid communities, and content are all unproven for Qure. We need someone to determine how best to find its audience. With a high degree of freedom, a lean team, and no marketing bureaucracy, decisions you make on Monday go live by Wednesday. Day to day, you will: Run parallel channel experiments across paid search, video, communities, and organic traffic to discover what actually converts. Shut down underperforming channels early using your own data to ground the decision. Produce your own marketing assets, including ad copy, screen recordings, and landing pages. Work directly with the product team to ship acquisition-focused product requirements, such as custom onboarding flows or free tools. Build and maintain end-to-end funnel tracking, from a user’s initial click to aha moment to LTV. What you’ll bring Comfort operating without a playbook and deciding what to test when acquisition channels are entirely unproven. Honesty about performance, with the discipline to cut underperforming channels based on data before anyone asks you to. A bias for action that favors shipping functional campaigns quickly over prolonged polishing. What you’ll need Demonstrated success growing self-serve products with direct responsibility for user activation. Experience managing marketing budgets across channels and reallocating spending based on user acquisition economics. The capability to create your own creative assets – including copy, landing pages, and product demos – without relying on external agencies or designers. Daily experience using LLMs in your own work for research, creative drafting, and data analysis, with the judgment to know when they help or hinder work. Experience working inside a startup or a small, fast-moving product team. Experience doing marketing for developer tools, QA products, or AI tools is a plus. What success looks like In your first three months, success means establishing a fully measurable acquisition funnel from a user’s first click to the aha moment. You will have run parallel channel experiments, determined the true cost per active user or B2B lead, shut down non-viable channels, and identified one or two channels worthy of significant investment. Why join JetBrains? Strong base salary. We offer competitive pay that reflects your skills and experience. Flexible work location. Enjoy the freedom to work from home or from the office. Remote work. Spend up to 30 days per year working remotely from abroad. Extra time off. More days to relax, recharge, and do the things you love. Medical insurance allowance. Enjoy peace of mind for you and your family Learning and development opportunities. Access to conferences, courses, and language classes. Language classes. Pick up the local language or sharpen your English skills. Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays. Mental health support. To help you feel your best, we provide easy access to professional mental health services. Sports benefit. Enjoy an on-site gym or sports club stipend. Internal events. Join company-wide celebrations and team gatherings. *Some benefits may vary depending on location. If this sounds like the right challenge for you, submit your application and let's talk. #LI-DNI We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Location: New Delhi WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: This is a highly unique opportunity for a Data Scientist to join a new and rapidly growing intraday team. In this role you will partner with our close-knit team of quantitative researchers, data engineers, technologists and data sourcing colleagues to research, engineer, and validate quantitative signals derived from high-frequency equity market data across multiple global markets, while owning the full lifecycle of a signal, forming a hypothesis about what market behavior predicts, engineering it into a feature, validating it with data, and shipping it into a production research platform. This is a research-focused data science role with meaningful hands-on coding and implementing signals within our internal framework. Key responsibilities include: Research and engineer features from raw, high-frequency market data, translating market behavior hypotheses into quantitative signals. Implement signals within our internal simulation/backtesting framework, iterating between exploratory data analysis and framework-based implementation. Validate features through backtesting across historical data, checking behavior across different markets, regimes, and edge cases (e.g., market open/close, low-liquidity periods). Collaborate with research and engineering teams to align on implementation approaches, validation standards, and research decisions. Explore new and existing data sources to identify candidate signals worth developing further. Becoming a domain expert on different deep learning and machine learning applications for high frequency data, analyzing & understanding the underlying dynamics, market microstructure and behaviors within the data. Develop insights based on the data and collaborate with the research team to generate tradable Developing the utility tools that can further automate the software development, testing and deployment workflow. What You’ll Bring: Strong academic background – minimum of a bachelor’s degree in a technical or quantitative field. Strong data science background, with experience turning noisy, real-world data into validated, well-behaved signals or models. Rigorous quantitative programming skills, with the discipline to write accurate, production-quality, and performance aware code, including low-latency implementations where needed. Prior experience with C++ is a plus. Working knowledge of financial markets and how trading/market data behaves, or strong aptitude to learn it quickly. Prior market microstructure knowledge and experience with dark pools, trading and exchange data is a plus. Practical experience with and theoretical understanding of deep neural networks and other machine learning techniques in high frequency domain is a plus. Comfortably making pragmatic modeling tradeoffs under ambiguity while clearly articulating the reasoning behind them with data. Exceptional analytical & problem-solving abilities, with a strong attention to detail. By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Lisbon, Portugal or Austin, US About the role Cloudflare is scaling one of the largest global networks on the Internet, and capacity planning is what keeps that growth ahead of demand. As an Infrastructure Network & Supply Planner on our Infrastructure Capacity Planning team you'll build the products, tools, and AI agents that turn growth and demand forecasts into scalable, execution-ready infrastructure expansions, ensuring the right capacity is in the right place, at the right time and cost, in the shortest time possible. You'll design and ship internal products — forecasting models, planning systems, dashboards, and automated workflows — that make end-to-end infrastructure readiness faster, cheaper, and more reliable at global scale You'll refine and create new AI agents to model demand into supply, network, and capacity scenarios and surface risks early, producing force multipliers that let planners see the whole system and act quickly — shifting time from reactive task-processing to proactive strategy, and scaling impact. You'll partner across planning, operations, procurement, logistics, engineering, and finance to keep Cloudflare's global deployments moving smoothly. What you'll do I nfrastructure Capacity & Expansion Planning Translate demand forecasts into infrastructure capacity plans that support business growth, aligning hardware deployments with performance, cost, and timeline targets. Ensure infrastructure readiness across space, power, connectivity, and hardware availability, identifying capacity constraints early and coordinating mitigation. Deployment Planning & Execution Coordination Build quarterly and weekly deployment plans that are realistic, balanced, and optimized for execution efficiency across operations, logistics, integration partners, and engineering teams. Track progress, resolve blockers, and maintain deployment momentum across the global fleet. Supply, Inventory & Lifecycle Readiness Partner with Procurement and Data Center teams to ensure hardware and resources are available at the right time and locations, and manage inventory to balance availability, cost efficiency, and operational risk. Support hardware refresh and asset lifecycle planning, and align infrastructure investments with budget and growth plans alongside Finance. AI-First Products, Automation & Continuous Improvement Design, build, and ship internal products — forecasting models, dashboards, planning systems, and automated workflows — using AI/agentic tooling to structure messy data, run scenario analyses, and improve planning accuracy. Identify high-leverage opportunities to automate repetitive work, introduce new tools and methodologies, and continuously improve how planning and deployment operate at scale. Cross-Functional Collaboration Act as a central layer across planning, operations, engineering, logistics, procurement, and finance to keep Cloudflare's global deployments moving smoothly. Desirable Skills, Knowledge, and Experience: Experience in capacity planning, infrastructure planning, production/operations planning, supply planning, or a related technical planning role. Strong analytical and problem-solving skills, with experience across complex operational systems and managing multiple priorities in fast-paced environments. Hands-on experience building tools, automation, or internal products Fluency with AI tools in daily work, and a genuine appetite to use and create AI/agentic tooling to scale decision-making and eliminate manual toil. Excellent communication and stakeholder-management skills. Compensation Compensation may be adjusted depending on work location. For Portugal based hires: Estimated annual salary of €36,000-50,000. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Remote - Global Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Role Serve as the on-duty commander for Alpaca's most critical incidents, directing cross-functional response to restore service quickly, keeping the right people engaged and informed, and making sure every incident leaves behind something the organisation can act on. You do not fix the outage. You make the response reliable: correct severity, the right engineers in the room, mitigation that does not stall, leaders informed in time, and follow-up work that survives the call. Things You Get To Do Command incidents end to end. Take command from declaration to mitigation, keeping responders focused on stopping customer and partner impact as fast as possible. Run the bridge, keep observers out of the responders' way, and name a stall out loud when you see one. Classify and hold the line on severity. Set severity at declaration and re-check it as facts arrive. Risk advises on financial and regulatory materiality; the call is yours. Engage the right people, fast. Identify the owning team by service, symptom and blast radius, page them, and expand the responder set the moment the first team is wrong or not enough. When a page goes unanswered, escalate - and escalate the escalation. Bring in the leaders who must make business calls: feature flags, traffic shedding, failover, freeze-or-ship. Hold the bridge, and protect the people fixing it. Keep engineering and technical support uninterrupted - questions from stakeholders, partners and executives come to you. Be the single source of truth to the partner communications team on impact, severity and timing: you decide when a status page update or partner contact is needed, they write and send it, and chasing a late or stale update is yours. Run follow-the-sun handoffs. Deliver warm, high-fidelity handoffs across regions: current impact and severity, mitigation path and next actions, who is in the room, outstanding decisions, and what must not be dropped. The incoming commander confirms ownership before you step away - command never goes dark at a region boundary. Close the loop, on the clock. Maintain the timeline of facts as the incident runs rather than reconstructing it afterwards - in a regulated business that record has to hold up long after the call ends. Once mitigated, make sure a blameless retrospective is scheduled with a named owner and a timebox, and record where the cause sits - that choice sets which follow-up items are mandatory. Every action item needs a real ticket, one named accountable, a priority and a category, delivered inside the agreed service level. If a postmortem produces nothing but low-priority items, treat that as a signal the analysis stopped early and escalate to SRE rather than passing it on. Automate the coordination away. Coordination is the part of this job that should eventually belong to a machine. Every manual prompt you send - the update that is due, the question nobody answered, the partner nobody contacted - is a candidate for automation, and the direction we are heading is AI handling the routine so commanders can spend their attention on judgement. You get us there by working to the decision trees, saying where they are wrong, and being honest about which of your instincts are actually rules. Who You Are (Must-Haves) 4+ years commanding or co-commanding high-severity incidents in a production engineering, SRE or technical operations environment. You direct technical responders under pressure without being the person writing the fix. You make and defend crisp severity and escalation decisions, and you take charge without waiting to be asked. Command means waking senior people at 03:00, interrupting an executive, and telling an experienced engineer to stop what they are doing - with an audience watching. It is a visible, directive role and it needs to be instinctive. You can read a dashboard and judge for yourself whether impact has actually stopped. You communicate clearly with engineers, executives and partner-facing stakeholders - and you know the difference between briefing the comms function and speaking for the company. You are comfortable holding other teams to account in the moment, across a reporting line that is not yours, without turning it into friction. You thrive in a follow-the-sun model with clean cross-region handoffs. You understand FinTech concepts and the trust stakes of API-driven financial platforms. You use AI tools and agentic automation to reduce manual toil and speed up response. You will work a regional coverage window as part of a global 24x7 Incident Commander roster. Who You Might Be (Nice-to-Haves) Formal incident command training - ITIL, Major Incident Management or crisis management. Experience with modern incident management and on-call platforms. You have written severity rubrics, decision trees, escalation matrices, runbooks or incident playbooks. You have commanded in game days, tabletop exercises or incident simulations, not only in production. You have partnered with problem management or reliability programme functions to roadmap incident follow-ups. Online securities trading or capital markets experience, or another regulated, market-hours-sensitive domain. How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Team The Compliance function at OKX is responsible for promoting a strong compliance culture and supporting the business in meeting its regulatory obligations and managing enterprise risk. The Product Compliance team is responsible for embedding compliance into the product lifecycle and supporting the compliant development, launch and ongoing operation of OKX products and features globally across all markets in which our products and services are offered. We work closely with Product, Engineering, Legal, Risk, Central Compliance and local Compliance teams to identify regulatory and compliance requirements, assess product risks and develop practical solutions that support responsible commercial growth. About the Opportunity We are seeking an experienced, hands-on and commercially minded Senior Compliance Manager to join our Product Compliance team. This is a senior individual-contributor role focused primarily on the day-to-day review of new products, material product changes and existing product enhancements. The emphasis is on delivering timely, well-reasoned product compliance assessments using a risk-based approach, ensuring that material compliance risks are sufficiently mitigated and the firm’s regulatory positioning protected. You will act as a trusted compliance partner throughout the product development lifecycle, helping Product and Engineering teams navigate complex regulatory requirements while enabling commercially viable outcomes. You will be expected to distinguish between legal or regulatory constraints that cannot be crossed, risks that can be addressed through proportionate controls, and residual risks that require documented escalation or risk acceptance. What You’ll Be Doing Own and deliver day-to-day compliance reviews of new products, features, market expansions and material changes to existing products across OKX's global business and product suite. Review product requirements, technical documentation, user journeys, onboarding flows, trading or transaction mechanics, reward structures, disclosures and operational processes. Apply a risk-based waterfall that distinguishes hard legal or regulatory blockers from risks that may be addressed through controls, product conditions, jurisdictional restrictions, monitoring or escalation. Conduct and document product compliance risk assessments covering areas such as regulatory perimeter and licensing, AML/CFT, sanctions, KYC, consumer protection, financial promotions, trading and market conduct, asset safeguarding, data privacy and third-party risk. Produce clear, concise and evidence-based and solutions-based compliance recommendations setting out identified risks, required mitigants, residual exposure and the proposed approval or escalation route. Work directly with Product, Engineering, Legal, Risk, Central Compliance and local Compliance teams to develop practical and scalable solutions to identified compliance requirements. Maintain complete and accurate documentation and audit trails for product reviews, decisions, conditions, exceptions, approvals and subsequent changes. Support post-launch monitoring, control testing and assurance in partnership with Audit, Product and other Compliance teams, and drive remediation of identified issues. Promote a compliance-by-design culture within the product lifecycle; communicate the Product Compliance framework and program requirements to relevant stakeholders and deliver targeted training or guidance to Product, Engineering and business teams as required. Support special projects and priority product launches in a fast-paced and continually evolving environment. What We Look For In You At least 8 years of relevant experience in Compliance, Legal or Risk within financial services, fintech, payments or the cryptocurrency industry. Bachelor's degree in law, finance, business, economics, engineering or a related field, or equivalent practical experience. Significant hands-on experience in product compliance, regulatory advisory or product risk assessment, including advising on new products and material product changes. Strong understanding of the digital-asset industry and the products offered by crypto platforms, including trading, custody, payments, staking or earn products, lending, structured products, wallets or DeFi. Strong working knowledge of relevant regulatory and compliance requirements, including licensing and regulatory-perimeter considerations, AML/CFT, sanctions, KYC, consumer protection, financial promotions and trading or market-conduct requirements. Demonstrated ability to analyze products or initiatives involving significant complexity and risk and translate regulatory requirements into practical product requirements and controls. Experience in and demonstrated success in leveraging AI-enabled technology to maintain risk assessment standards, including ongoing tuning of agentic skills aligned with the Company’s risk appetite. Excellent risk judgment and the ability to balance compliance rigor with a pragmatic, risk-based approach that supports responsible commercial outcomes. Proven ability to develop and deliver repeatable product compliance solutions, controls and review processes aligned with broader group requirements. Strong project-management and execution skills, including the ability to manage multiple concurrent reviews, maintain accurate documentation and meet product-launch deadlines. Excellent written and verbal communication skills, with the ability to present clear recommendations and lead discussions with Product, Engineering, Legal, Risk, senior management and other Compliance stakeholders. Strong stakeholder-management skills and the ability to influence product decisions and constructively challenge proposals without compromising Compliance rigor. Self-motivated, proactive and comfortable operating independently within a fast-paced, globally dispersed team. High personal integrity and sound professional judgment, including the ability to identify when an issue requires escalation. Nice to Haves Direct product compliance or regulatory advisory experience at a crypto exchange, fintech or technology-led financial-services company. Experience supporting multi-jurisdictional product launches and applying regulatory requirements across the United States, European Union, Middle East or Asia-Pacific. Practical knowledge of CeFi trading products, including spot, derivatives, leverage, custody, institutional products and OTC flows. Familiarity with Web3 products, blockchain technology, smart contracts, DeFi protocols and digital-asset transaction flows. Experience developing compliance risk-assessment frameworks, controls, and key risk indicators. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Baku, Azerbaijan Alumil, one of the most evolved and technologically advanced groups in the research, development and producing of architectural aluminium systems in Europe, is looking for a Sales Executive based in Azerbaijan . Who are we looking for? The role is responsible for identifying and developing new business opportunities, building strong relationships with key stakeholders (architects, façade consultants, contractors, developers, fabricators, distributors) and expanding the company’s presence across Azerbaijan. Responsibilities Identify new customers, projects and business opportunities. Build and manage strong relationships with architects, façade consultants, developers, contractors and other key stakeholders. Identify projects at an early stage and influence product/system specification. Manage the sales pipeline and follow opportunities from project identification through tender and award. Promote the company’s architectural aluminium solutions and provide appropriate support. Develop and manage key accounts and strategic partnerships. Prepare and negotiate commercial proposals in collaboration with internal teams. Monitor market trends, competitor activity and emerging construction trends. Collaborate with the technical and logistics team in order to convert opportunities into successful projects. Candidate Profile Bachelor's degree in Business, Engineering or related field. 4+ years of experience in business development, sales or commercial roles within the façade, aluminium, glazing, cladding, building materials or construction industry. Proven experience in market penetration and managing strategic customer relationships. Understanding of construction projects, specifications, tenders and procurement processes. Tech savviness -proven experience in CRM use. Ability to engage confidently with both technical and commercial stakeholders. Strong negotiation, presentation and influencing skills. Commercially oriented, with a strong understanding of sales pipelines, margins and business targets. Excellent communication and relationship-building skills. Strong project prioritization and organisational skills. Willingness to travel as required. What is in for the candidate? Provision of private life & health insurance Bonus scheme Work equipment (mobile phone, laptop, car) Continuous learning and support Excellent working environment About us At ALUMIL we are building excellence every day. Alumil has more than 30 years of experience in the production of architectural aluminium systems and 3.000 employees. We are one of the most advanced companies globally owning state-of-the art production lines in our 12 factories in Europe. Alumil, is a family-owned business that also embraces all of its employees like family. Our culture’s primary focus is on integrity, team spirit, initiative, loyalty and “meraki” (spirited work). ALUMIL opposes any discrimination, unequal treatment and violation of human rights and ensures the provision of equal opportunities at work. When hiring and evaluating employees, it does not discriminate based on race, gender, religion, age, disability, sexual orientation, nationality, political beliefs or social status.