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Location: Hong Kong Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. QRT is seeking a Quantitative Developer with strong Python skills and a deep understanding of systems design and reliability principles to help evolve and scale our high-performance trading platform. You'll build tools, automation, and design systems that support the speed and reliability our business depends on. Your future role within QRT Collaborate with developers, researchers, traders, and platform teams to build and improve business-critical systems Build automation for operations, deployment, monitoring, and incident response Evaluate and implement tools that balance performance, complexity, and maintainability Own and evolve our observability stack: metrics, logs, tracing, and alerts Your Present Skill Set Bachelor's degree in Computer Science or a strongly related field Strong Python programming skills Strong problem-solving skills and deep understanding of computer science fundamentals Commitment to code clarity, documentation, and reducing technical debt Hands-on experience with Linux/Unix systems in production environments Proven track record designing and delivering scalable systems in production environments Knowledge of low-latency systems, trading environments, market data, or exchange protocols QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Remote, Global Workplace: Remote ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role We’re looking for a Software Engineer, AI Tooling Infrastructure to join our AI Tooling team and help build and run the backend services behind Supabase’s AI products. The Supabase MCP server is one example of what the team runs in production, alongside the services that support agent skills and the dashboard assistant. You’ll work closely with the Platform, SRE, Auth, Billing and Edge Functions teams, and with the engineers on the AI Tooling team who build the product surfaces. The AI Tooling team runs its own services in production and carries its own on-call. Traffic from AI clients and agents behaves differently from traffic from people: hundreds of calls a minute, retry loops, and no reading of deprecation warnings. This role makes sure the services they use are reliable, correctly authorized and observable. It is a systems and infrastructure role rather than a product AI role, and it is not an SRE role. You will build and operate these systems, not only advise on them. This role is ideal for someone who thrives in async, fast-paced environments, owns what they ship in production, and is excited about building developer tools that scale to millions. WHAT YOU’LL BE RESPONSIBLE FOR In this role, you’ll: - Build and operate the production backend services behind Supabase’s AI products, including the MCP server: deployment, scaling, configuration and release. - Take ownership of how those services are structured, including splitting or reshaping a service when that makes it safer to run and easier to change. - Define, measure and meet reliability targets for the services the team runs. Set SLOs with the SRE team, track error budgets, and use them to decide what to fix first. - Participate in the AI Tooling team on-call rotation, and be a first responder for incidents in those services. Investigate, fix, coordinate with other teams during incidents, and write the follow-ups and runbooks. - Work the AI Tooling team support queue alongside on-call, and turn recurring issues into fixes rather than repeated manual answers. - Own authentication and authorization for AI and agent clients: OAuth apps, scoped tokens, and permissions that make sense for agents as well as humans, including how we change or deprecate a permission without breaking existing integrations. - Own observability for the services the team runs: metrics, traces, logs, dashboards and alerts, so we find problems before customers do. - Handle capacity and abuse for agent traffic: rate limits, cost and safety controls, and behavior under load or when a dependency degrades. - Improve the architecture of the services the team owns as they grow, including splitting or reshaping a service when that makes it safer to run and easier to change. - Work with the Platform team on shared code, review ownership and release process, and with the SRE team on infrastructure, alerting and incident practice. - Contribute to the code of the AI Tooling team’s tools, such as the MCP server, where it affects reliability and security, in partnership with the engineers who own the product surface. YOU MIGHT BE A GOOD FIT IF YOU Must have: - Have 5+ years of experience building and running backend services in production, and have carried on-call for them. - Write strong TypeScript or Go, and are comfortable working in the other. - Have designed and operated APIs with real consumers: versioning, error handling, rate limiting, and backwards-compatible change. - Know OAuth, OIDC, JWT and API authorization well enough to debug them in production and to explain where implementations commonly deviate from the spec. - Have a good understanding of PostgreSQL and relational databases. - Are comfortable with CI/CD, Docker and containerized deployments, and with infrastructure as code. Any tool is fine. - Can debug across services: follow a slow or failing request through several systems using metrics, traces and logs. - Communicate clearly in writing, work with a wide range of stakeholders, and thrive in async, globally distributed teams. - Are comfortable navigating ambiguity and moving quickly. Pick your centre of gravity. We expect you to be deep in at least one of these, and to tell us which: - APIs and auth: You have designed permission models, token scopes or OAuth flows for third-party or machine clients, and you have migrated them without breaking users. - Operations: You have run production services yourself: carried the pager, written alerts and runbooks, used SLOs or similar to decide what to fix, and made shared systems less risky over time. - Gateways and distributed systems: You have built or run proxies or gateways, or debugged hard failures across services (retries, partial failures, upstream outages, fail-open vs fail-closed decisions), and you can reason about load and degradation. Nice to have: - Experience with agent tooling (MCP or similar), or serving traffic from AI agents and LLM clients. - Experience moving a service out of a larger codebase while keeping existing clients working. - Experience with Grafana, OpenTelemetry, Logflare or a similar observability stack, and real SLO work. - Open-source contributions, especially to Node.js, Go, TypeScript or API tooling. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

The Role We're looking for a Product Manager to own core parts of the Duvo platform – the durable, repeatable primitives that let AI agents execute end-to-end work for enterprises.

The AI Security Sales Executive is a quota-carrying sales role dedicated to Abnormal's AI Security suite: five products built to help customers govern AI, secure AI, and defend against rogue AI. Own AI Security in your region.

As a Product Engineer at Dropbox, you will play a pivotal role in shaping the future of collaboration and file sharing. Your responsibilities will revolve around developing and enhancing our suite of Dropbox Products to deliver exceptional user experiences.

As a Senior Associate, Broker Dealer Operations, you'll join the Coinbase Capital Markets (CCM) team and serve as a subject-matter expert within the operational engine supporting Coinbase's U.S. equities brokerage business.

The Technical Support Engineer 2 (TSE2), Triage & Discovery is the front line of Alloy’s technical support experience. Serve as the first technical point of contact for incoming support requests—respond quickly, ask targeted follow-up questions, and build a clear understanding of what the customer actually needs.

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. As an Intermediate Backend Engineer on the GitLab Orbit team, you'll help build and operate a graph data service that supports GitLab Duo agents, analytics, and architecture-level features across GitLab.com, Dedicated, and Self-Managed deployments. You'll join a Rust-first team that values clear ownership, thoughtful system design, and rigorous thinking about data and reliability. The Knowledge Graph service is a Rust backend that builds a property graph from GitLab’s software development lifecycle (SDLC) and code data. It uses ClickHouse, NATS JetStream, and the Data Insights Platform. It exposes secure graph queries and MCP tools used by AI agents and product features. In this role, you’ll deliver features and improvements in well-scoped areas, learn the broader architecture, and contribute to reliability, observability, and operational readiness. In your first year, you’ll take clear ownership of specific components or features (for example, parts of the SDLC indexing pipeline or query paths). You’ll help reduce single points of failure with better tests and runbooks, and you’ll help the team ship analytical services that are easier to maintain and evolve over time. What you’ll do Implement and iterate on backend features in the Rust-based Knowledge Graph service, including changes to the query engine, SDLC and code indexing flows, and API endpoints (including MCP endpoints) under guidance from senior and staff engineers. Maintain integrations between Knowledge Graph and the rest of the GitLab platform, working in areas that touch GitLab Rails, the Data Insights Platform (Siphon, NATS, ClickHouse), and GitLab Duo Agent Platform. Contribute to system design discussions by proposing options, raising questions, and documenting decisions, with a focus on reliability, scalability, and maintainability for analytical graph workloads. Improve the operational maturity of the service by adding or enhancing metrics, logging, runbooks, alerts, and small readiness tasks, and by participating in on-call rotation as appropriate for your level and experience. Collaborate asynchronously with product, data, infrastructure, security, and AI counterparts to clarify requirements, align on scope, and ship features safely for customers and sustainably for the team. Use AI-assisted development workflows responsibly (for example, using Knowledge Graph-backed agents and internal Duo tooling), and share what works with the team while keeping a strong focus on code quality and correctness. Participate in code reviews, knowledge-sharing sessions, and pairing to both learn from others and help maintain consistent standards across the codebase. Contribute across the stack when needed, including occasional Ruby work for Rails integration and authorization paths, or small frontend changes related to Knowledge Graph features (for example, Software Architecture Map UI plumbing). Take part in on-call or operational support where your team’s ownership model requires it. What you’ll bring Professional experience building and maintaining backend systems in production, with an understanding of reliability, maintainability, and how to support services over time (for example, incident response and follow-ups). Proficiency in at least one modern backend language and strong interest in Rust, with either prior Rust experience or clear evidence you can ramp quickly and deliver in a Rust-first, performance-sensitive codebase. Some exposure to distributed data or analytics systems (for example, OLAP databases, Kafka- or NATS-style messaging, or change data capture (CDC) pipelines), or strong motivation to develop those skills in this role. Interest in graph data modeling and query patterns (property graphs, multi-step (n-hop) traversals, aggregations), and willingness to learn the tools and concepts used in Knowledge Graph over time. Practical experience (or strong interest) using AI tools in day-to-day development, along with a thoughtful approach to validating outputs and integrating AI into your workflow. A language-agnostic mindset and evidence that you can pick up new languages and frameworks as needed (for example, Ruby, Go, or TypeScript/Vue where the work touches adjacent systems). Solid fundamentals in system design for your level, including the ability to reason about trade-offs, ask good questions, and align your implementation work with documented architectural decisions. Comfort working in a low-process, high-ownership environment where you take responsibility for your work, refine problem statements with teammates, and communicate progress clearly in writing across time zones in an all-remote team. About the team GitLab Orbit sits within the Data Engineering organization. We work closely with partners across AI (Duo Agent Platform), analytics, infrastructure and delivery, and security because our work spans many parts of the platform. We collaborate asynchronously rather than following a feature factory model. A key challenge for us right now is scaling sustainably as usage grows and team members take time off. That includes hardening multi-tenant behavior. At the same time, we're bringing Knowledge Graph to The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $115,200 — $162,000 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role Reports to: Manager, Renewals This is an individual-contributor, tactical role focused on timely, accurate execution rather than strategic decision-making. The Associate Renewals Manager works under the general direction of Senior Renewals Managers and their manager, following specific instructions and frameworks in day-to-day work. Solutions and outputs are reviewed by more senior team members and/or the direct manager. What You’ll Do Manage an assigned portfolio of customer renewals tracking key dates and driving them to on-time closure. Have real, consultative conversations with customers throughout the renewal cycle to understand how they're actually using the product and where they're headed next. Identify and surface expansion opportunities — additional seats, tiers, or modules — that come out of those conversations. Probe for new use cases and unmet needs within existing accounts, connecting what customers describe to relevant GitLab capabilities they aren't yet using. Prepare and send renewal quotes, order forms, and related documentation accurately and on schedule, structuring them to reflect any expansion identified. Prepare and send renewal quotes, order forms, and related documentation accurately and on schedule. Analyze moderately complex renewal situations (usage trends, contract terms, pricing) by reviewing existing account factors, escalating anything unusual to a senior team member or manager and helping to mitigate any risk identified. Explain moderately complex renewal terms and issues to customers and internal stakeholders, working to build alignment. Collaborate with Sales, Customer Success, and Finance to help identify expansion opportunities, resolve blockers and keep renewals moving. Communicate proactively and transparently with customers and internal stakeholders, adapting to GitLab's communication framework. Maintain accurate, up-to-date records in the CRM/renewals system for forecasting and reporting. Prioritize tasks with guidance from more senior team members to drive quality, timely results. Contribute to team goals by working collaboratively with peer RM’s. What You’ll Bring Can execute basic renewal processes independently ("basic knots") and has been introduced to more advanced scenarios ("complex knots") such as multi-year deals, upsell-attached renewals, or non-standard terms. Developing understanding of GitLab's way of working, values, and high-performance culture. Awareness of GitLab's remote work best practices. Growth mindset and sense of ownership — proactively seeks out ways to learn and improve, and takes action rather than waiting for direction. Strong attention to detail and organizational skills; comfortable managing many renewals at once. Clear written and verbal communication skills. Ability to follow defined processes and frameworks while flagging exceptions appropriately. Collaborative mindset and openness to feedback and coaching from senior teammates and manager. The ability to travel for events such as trainings, team offsites, customer meetings, etc. About the team The Renewals team focuses on protecting and growing GitLab's recurring revenue by managing the full contract lifecycle for our subscription customers. As a Renewal Manager, you'll be part of a quota-carrying team that works closely with Sales, Customer Success, Finance, and Legal to ensure timely, accurate renewals and strong customer retention across regions in an all-remote, asynchronous environment. The team is responsible for forecasting renewal outcomes, identifying and addressing churn risk, and uncovering opportunities to expand GitLab adoption, while continuously improving processes and best practices that support predictable, sustainable growth. How GitLab will support you Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental leave Home office support Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $53,760 — $105,000 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

-As a Technical Support Engineer at Turnkey, you’ll help developers integrate, debug, and succeed with our SDKs and APIs across a range of environments — from React and mobile apps to backend servers and CLI tools.

You will identify and approach prospects in manufacturing, logistics, software, and related sectors, present media opportunities, and close deals.

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. Sierra’s Applied Research team works to make the models behind our agents better, faster, and cheaper across many kinds of tasks. Our work covers post-training open-weight models for specialized capabilities, new approaches to voice AI, and the benchmarks the field uses to measure agents, including τ-bench. As an Applied Research Intern, you’ll join the team for a research project, working with a mentor, you’ll pick a problem that matters to how AI agents perform in the real world, run rigorous experiments, and potentially write up what you find for a top venue. If you want your research to reach both the research community and production agents used by millions of people, come do it at Sierra. WHAT YOU’LL DO - Own a research project from start to finish, from framing the question and running experiments to writing and submitting a paper. - Push agent evaluation forward, for example by extending τ-bench to new domains, modalities, or long-horizon tasks, or by building new ways to measure reliability and consistency. - Study how agents reason, use tools, and follow policies over multi-turn conversations, and find out where and why they fail. - Explore post-training methods such as supervised fine-tuning and reinforcement learning to improve agent behavior, and measure the gains rigorously. - Work with large-scale, proprietary datasets of text and audio interactions to find research questions grounded in real customer problems. - Work with researchers and engineers across Sierra, and where it makes sense, turn your findings into improvements in production. WHAT YOU’LL BRING - Currently pursuing a PhD in computer science, machine learning, or a related field. - A research track record, such as first-author publications or submissions at venues like NeurIPS, ICML, ICLR, ACL, EMNLP, Interspeech or ICASSP. - Strong experimental skills: you design clean experiments, build careful baselines, and are honest about what the results do and do not show. - Fluency in Python and modern ML tooling (for example, PyTorch, and LLM inference and training stacks). - High agency and a builder’s mindset. You’ll work across the stack to get an experiment running. - Clear, direct communication, both in writing and when presenting research. EVEN BETTER - Research experience with LLM agents, tool use, or multi-turn dialogue. - Experience designing benchmarks or evaluations, especially ones tied to real-world outcomes. - Experience with supervised fine-tuning, reinforcement learning, or long-horizon optimization. - Experience with speech, voice, or multimodal models. - Open-source contributions to ML research code or benchmarks. INTERN QUALIFICATIONS - The internship is open to students currently enrolled in a PhD program. - Duration and start dates are flexible. Interns are embedded with the Applied Research team and work under the guidance of a mentor. - The internship is based in our San Francisco office. We are in person Monday through Thursday. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: Seoul Workplace: Remote WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey’s Legal Engineers are former practising lawyers who bridge customers, sales, and product to support all aspects of our sales strategy and product development. As trusted advisors to the lawyers they work with, they lead sharp discovery and tailored product demonstrations, translating real legal work into Harvey solutions that provide clear value for lawyers. In Korea, this role is a rare chance to pioneer Harvey’s presence in one of Asia’s most sophisticated legal markets. As a strategic partner to Korean law firms and in-house teams, you will help lawyers do higher-quality work faster and with more confidence using Harvey, and you will thrive in ambiguity while doing it. What You’ll Do - Work directly with lawyers at current and prospective customers in Korea to uncover workflow pain points, recommend solutions, and show how Harvey fits into real legal work. - Serve as the voice of the customer, translating feedback and legal workflow insights, including those specific to Korean legal practice and Korean-language needs, into concrete, lawyer-ready product direction. - Partner closely with product, engineering, sales, and marketing to shape Harvey’s roadmap and ensure the product evolves in ways lawyers trust and adopt. - Build and refine product demonstrations, workflows, and use cases in Korean and English that reflect how Korean legal teams actually work, including how AI is changing that work. - Introduce new capabilities in a way that’s tailored, credible, and compelling for each customer, continuously raising the bar for how Harvey is deployed. - Provide competitive and market intelligence on the Korean and wider APAC legal tech landscape. - Strengthen Harvey’s reputation in Korea and across APAC as a credible, substantive, and forward-looking AI partner to the legal industry. What You Have You move confidently through uncertainty, operate at speed, and ship solutions that work, iterating quickly with lawyers, sales teams, and product partners to help Harvey and its customers win. You bring deep curiosity about AI’s potential to transform legal work, a bias towards action, and the creativity to solve problems nobody has cracked yet. - Based in Seoul and eligible to work in South Korea. - Korean legal qualification (변호사 자격) or equivalent. - At least 3 years of experience as a qualified lawyer at a top-tier Korean or international law firm and/or in-house, with strong exposure to complex legal workflows and client expectations. - Fluency in Korean and English, with the ability to operate seamlessly across both in professional settings. - Demonstrated ability to exercise sound judgment and make confident, well-reasoned recommendations. - Ability to operate across legal, product, and sales contexts, translating between stakeholders with clarity and precision. - Executive presence and relationship-building skills, with comfort engaging partners, senior associates, in-house counsel, and legal leadership. - Sales, customer-facing, or law firm business development experience is a plus, particularly where you’ve helped shape solutions rather than just present them. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-EL1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Remote - US Founded in 2012, Bugcrowd is the preemptive security platform that unifies exposure discovery and assessment, offensive testing, and intelligence shaped by AI and human insight to help organizations avoid, discover, and validate real-world risk. Bugcrowd helps security teams move faster by identifying the exposures that matter most so they can act first and stay ahead of attackers. By combining the power of humans and AI, teams can preempt attack paths and prevent breaches. Based in San Francisco and New Hampshire, Bugcrowd is supported by General Catalyst, Rally Ventures, Costanoa Ventures, and others. Visit www.bugcrowd.com . Job Summary The Manager, Security Operations is responsible for leading a team of Security Consultants while ensuring the timely and accurate triage, validation, and resolution of security submissions. This role requires a strong technical foundation in application security, incident response, and vulnerability assessment, combined with proven people leadership skills. The ideal candidate is an experienced security professional who excels at developing team members, driving operational excellence, improving processes through data and automation, and partnering cross-functionally to deliver exceptional outcomes for customers. Essential Duties and Responsibilities Lead, coach, and develop a team of Security Consultants through regular feedback, career development, and performance management. Serve as a subject matter expert in at least one security specialty (web, network, cloud, or mobile) and provide technical guidance to internal and external stakeholders. Demonstrate expertise across all vulnerability submission types and support complex escalations and appeals, partnering with other business units as needed. Drive operational excellence by measuring team performance, identifying opportunities for automation, and implementing process improvements. Plan, prioritize, and manage team workloads while adapting to changing business needs and customer priorities. Mentor team members and contribute to the growth of the broader security organization through knowledge sharing and technical leadership. Build strong cross-functional partnerships to improve workflows and deliver high-quality customer outcomes. Lead effective meetings, clearly communicate priorities, and ensure timely execution of action items. Act as a trusted advisor to leadership and customers by providing sound technical judgment and operational insight. Stay current on security industry standards, emerging threats, and best practices to continuously improve team capabilities. Education, Experience, Knowledge, Skills, and Abilities 5+ years of experience in Security Operations, Application Security, Incident Response, Vulnerability Management, or a related field. Previous experience leading, supervising, or mentoring technical teams. Strong understanding of common vulnerability classes, including the OWASP Top 10. Experience with incident response, vulnerability triage, and validation. Excellent analytical, problem-solving, organizational, and decision-making skills. Exceptional written and verbal communication skills with the ability to influence technical and non-technical stakeholders. Preferred Experience Proven ability to manage multiple priorities in a fast-paced environment. OSCP or a comparable security certification, or equivalent hands-on offensive security or vulnerability research experience. Experience using Python to automate workflows or process operational data. Experience using Tableau or similar business intelligence tools to create dashboards and drive data-informed decisions. Demonstrated success implementing operational improvements through metrics, automation, and continuous improvement initiatives. Working Conditions and Physical Requirements This role will require periodic travel to support business needs. The Manager, Security Operations is expected to attend onsite events such as Bug Bashes and other customer-facing engagements, as well as participate in in-office events at irregular intervals. Travel will vary depending on business priorities but should be anticipated as a recurring responsibility of the position. Pay Range Disclosure At Bugcrowd, we strive for fairness, equality and to create an environment that allows our people to perform at their very best. Our compensation philosophy is to foster a collaborative community that rewards, attracts and retains the best possible talent. The provided salary details are based on US national averages and we retain the flexibility to tailor to the needs of the business. The national estimate for the current base range for this position is $129,280- $161,600. This position may also be eligible to participate in a discretionary bonus program or commission plan, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Culture At Bugcrowd, we understand that diversity in the workplace is vital to a company’s success and growth. We strive to make sure that people are included and have a sense of being part of making Bugcrowd not only a great product but a great place to work. We regularly hear from both customers and researchers that Bugcrowd feels like a family, and we strive to maintain that internally as well. Our team consists of a broad range of people: musicians, adventure sports junkies, nature lovers, parents, cereal enthusiasts, night owls, cyclists, artists—you get the point. At Bugcrowd, we are solving security threats and vulnerabilities that are relevant to everyone, therefore we believe solving these problems takes all kinds of backgrounds. We value the perspectives and experiences people from underrepresented backgrounds bring. Disclaimer This position has access to highly confidential, sensitive information relating to the technologies of Bugcrowd. It is essential that the applicant possess the requisite integrity to maintain the information in the strictest confidence. The company is authorized to obtain background checks for employment purposes under state and federal law. Background checks will be conducted for positions that involve access to confidential or proprietary information (including trade secrets). Background checks may include Social Security verification, prior employment verification, personal and professional references, educational verification, and criminal history. Applicants with conviction histories will not be excluded from consideration to the extent required by law. Any personal data you submit in connection with your application will be processed in compliance with Bugcrowd's Privacy Policy, which you may review here: https://www.bugcrowd.com/privacy . Equal Employment Opportunity: Bugcrowd is EOE, Disability/Age Employer. Individuals seeking employment at Bugcrowd are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. Bugcrowd is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Bugcrowd will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact HR at ADA at bugcrowd.com. Apply at: https://www.bugcrowd.com/about/careers/

Location: Prague; Limassol; United Kingdom - Remote Workplace: remote The Senior Director, Product Management leads the product team for Azul Prime and is accountable for Prime’s growth. Prime is Azul’s high-performance JVM, and Optimizer Hub, the component that moves JIT compilation and warm-up off the JVMs and into a shared service running in the customer’s Kubernetes environment, is part of it. Prime wins when customers run Java at scale and care about latency, warm-up, and cloud cost. You set Prime’s direction, run the product managers who work on it, and answer to the CPO, CEO, CRO, and SVP of Engineering for the results. This is a player-coach role. You manage a team, and you still own the decisions on strategy, pricing, and the hardest customer conversations. What You'll Own Outcomes. You own whether Prime succeeds or fails in the market. New business, pipeline, pilot-to-production conversion, expansion, renewal, and retention on Prime are your numbers, not just the field’s. You define what success looks like, instrument it, report it honestly when it is bad, and change the product or the plan when the data says the strategy is wrong. Strategy. Set the multi-year direction for Prime: which segments and workloads it wins, what to build versus partner for, and how it fits with Optimizer Hub, Azul Core, Intelligence Cloud, and Payara. Be explicit about what customers compare Prime against, including other JVM vendors, OpenJDK builds, and simply buying more cloud capacity. You own the thesis and you are accountable for whether it holds up. Executive partnership. Report to the CPO and work directly with the CEO, CRO, and CTO. Bring strategy, roadmap, and pricing decisions to the leadership team, argue for them with data, and change your mind in public when the evidence says you should. This is a visible role with real exposure. Go-to-market. Build and run the Prime go-to-market motion with sales, marketing, and customer success: who the buyer is, which accounts to target, what the pitch is, how pilots are structured, and what makes them convert. Work with the Prime sales specialists and field leadership on target accounts, qualification, and deal strategy. Join strategic customer and prospect calls yourself, and keep a clear, evidence-based view of why Prime deals are won, lost, and stalled. Roadmap. Translate strategy into a sequenced, credible roadmap, and make the trade-offs explicit rather than accidental. Build alignment across engineering, sales, and marketing around it, and inspire the teams to deliver it. Communicate it internally and to customers, hold the line on scope, and keep a heavy bias for action. Pricing and packaging. Own how Prime is priced, packaged, and metered, including how Optimizer Hub is packaged as part of it. Prime makes customers’ fleets more efficient, which can shrink the very footprint the price is based on, so the model has to account for that. You build the models, pressure-test them with the field, and work with finance and sales to get them approved and into market. Team leadership. Manage, develop, and hire the product managers on Prime. Give each PM a clear area to own and hold them to outcomes, not requirements. Set the standard for how the team works: written strategy and decisions, customer evidence behind every roadmap call, and AI tools used in daily product work. Inbound product management. Make sure the team works with engineering beyond writing requirements: in the sprints, in design reviews, and in the implementation trade-offs. Customer requirement sessions, customer-facing technical documentation, and the operator experience of installing, sizing, and running Optimizer Hub on Kubernetes all sit with your team. Outbound product management. Partner with marketing on positioning, launches, sales enablement, and public-facing content. Run competitive and market research. Make sure the Prime story lands with developers, platform teams, and the executives who sign. Technical credibility. Hold your own with the engineering teams. You understand JVM architecture and principles of operation, JIT compilation, garbage collection, and warm-up in particular, well enough that engineers treat you as a peer rather than a requirements conduit, and a customer’s platform engineers and CTO do too. What You'll Bring (aka Experience, Skills, Education) Required 15+ years in engineering and/or product roles, with a strong track record of launching and scaling products to revenue. 10+ years in product management, including owning a product or product line end to end: strategy through launch through revenue. 5+ years managing teams, including hiring, developing, and managing product managers. Track record shipping enterprise infrastructure or developer software sold to platform and engineering teams, such as language runtimes, application performance, observability, or cloud cost optimization. Ability to develop a deep working knowledge of JVM architecture and operation: JIT compilation, garbage collection, and warm-up. Demonstrated ownership of pricing and packaging for a technical product, including the cross-functional work of getting a model approved and into market. Experience building a go-to-market motion with sales: working enterprise deals, and understanding DevOps engineers, platform engineers, and developers as the key influencers in a sales cycle. Experience conducting market and competitor research with focus on product impacts and positioning. Experience directly interacting with customers and prospects - building customer relationships, discussing roadmap and strategy and conducting customer interviews Strong domain knowledge of public cloud (AWS, Azure, GCP) and Kubernetes. Fluency with AI tools and experience operating in an AI-first product management organization. You use them in your daily product work and have a view on where they help and where they don’t. Excellent written and verbal communication in English, equally effective with an engineer and with a Fortune 100 CIO. Comfortable in a fully remote, async, multi-time-zone setup. Self-directed, and a strong writer, because writing is how decisions get made here. Comfortable in a startup-shaped environment where bringing order to chaos is part of the job. Nice to have Hands-on software or quality engineering background: you have written code and debugged production systems. Experience with open source communities and licensing. Experience taking a product from early traction to a durable revenue line. Experience leading across more than one product at once, especially products at different stages or sold through different motions. Experience with infrastructure software that customers deploy and operate themselves, not just SaaS. Working knowledge of Java and Java development tooling. Education Bachelor’s degree in a related field or equivalent work experience. An advanced degree and/or relevant certifications are nice to have, but not required. Location This can be a fully remote role, ideally be based in one of Azul's European locations such as Prague, Czech Republic or Limassol, Cyprus, OR any other location in Europe or the EU. What we Offer ·         Comprehensive compensation and healthcare packages ·         Referral Program ·         Work-life balance, remote-first, paid time off, company shutdown, holidays ·         Work with top experts worldwide whom contribute to the Java ecosystem   Our Culture & Values   ·         Maniacal Customer Focus ·         Innovation & Excellence ·         Initiative & Courage ·         Impact & Influence ·         Integrity & Transparency ·         Diversity, Inclusion & Teamwork   Employment at Azul is contingent upon the completion of reference and background checks.

Location: San Francisco Perplexity is seeking energetic researchers and engineers to join our Secure Intelligence Institute (SII), Perplexity's flagship research center for advancing security, privacy, and trust in frontier intelligence. SII’s goals are to advance frontier AI security research, translate those advances into concrete improvements in Perplexity's systems, and share knowledge and resources that strengthen the broader AI ecosystem. As a member of SII, you'll conduct original and impactful research on improving the security and privacy of frontier intelligence systems. Your goal will be to conduct research that is not only rigorous in theory, but practical enough to improve the systems people rely on every day. This work will be informed by the realities of operating general-purpose AI systems used by millions of people and thousands of enterprises, and you'll be expected to translate both your own research and advances from the broader community to practical improvements that protect and defend Perplexity's users. RESPONSIBILITIES - Develop threat models for emerging attack surfaces in AI-native products, including browser, search, and autonomous agents. - Identify and analyze security and privacy threats across AI systems, infrastructure, and user-facing products. - Develop novel defenses, mitigations, and detection mechanisms for security and privacy in AI-native products. - Build security evaluation frameworks, benchmarks, and datasets to measure the effectiveness of different defense mechanisms. - Partner with Perplexity’s Security Engineering team to translate state of the art research into shipped security features and hardened system architectures. - Collaborate with top-tier academic and industry researchers in SII's external research network. - Publish findings at premier venues and contribute to the broader security research community. QUALIFICATIONS - Hold a PhD (or equivalent research experience) in Computer Science, Computer Engineering, or a related field, with a primary focus on security and/or privacy. - Experience publishing at top security conferences (IEEE S&P, USENIX Security, ACM CCS, NDSS) demonstrating original, impactful research contributions. - Deep expertise in one or more of: security of agentic systems, systems security, web and applications security, program analysis, and software security. - Proficiency in Python (bonus points for TypeScript, Go, and/or Rust). - Ability to operate with high independence, willing to dive in and take ownership, and comfortable in a fast-paced environment where research directly informs product. - Clear and concise communcation, translating complex attack narratives into actionable insights for engineering and leadership.

Location: San Francisco Perplexity is seeking software engineers to join our Training Infrastructure team. We’re responsible for the large-scale RL and agent evaluation platforms that enable Perplexity to train state-of-the-art models and optimize agent harnesses. We are full-stack engineers with a broad remit. If you join us, you’ll build the distributed systems that orchestrate AI workloads across global-scale compute infrastructure. You’ll also define novel user and agent interfaces for designing, managing, and launching experiments. You’ll create tools that make experiment results legible to humans and agents alike, enabling everything from ad-hoc experiment retrospectives to closed-loop autoresearch. And much more! A strong candidate will possess both experience and passion for solving difficult problems at the intersection of AI, distributed systems, and research acceleration. QUALIFICATIONS - 2+ years of experience developing and shipping distributed systems for compute-intensive workloads, with a focus on reliability, scalability, and performance. - Proficiency in a general-purpose backend language such as Python, Rust, C++, or Go, and experience with cloud infrastructure and container orchestration, such as AWS and Kubernetes. - Familiarity with reinforcement learning (RL), agent evaluation, or ML infrastructure, and an interest in building systems that accelerate experimentation and model development. - BS, MS, or PhD in Computer Science, Engineering, or a related field, or equivalent practical experience. 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.

Location: New York, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Opportunity This role focuses on strengthening OKX US' first line of defense while serving as the primary operational engine and bridge between the US business and control functions. Operating in a highly fluid environment, this position bridges the gap between hands-on internal controls and strategic US market execution. You will work shoulder-to-shoulder with control functions across every aspect of the US business, from managing KYC/KYB onboarding pipelines and marketing content reviews to leading US executive reporting and customer support alignment. The ideal candidate thrives in ambiguity, moves comfortably between granular risk management and growth strategy, and elevates organizational maturity to sustain OKX’s growth, integrity, and regulatory excellence. What You’ll Be Doing Controls Partnership & Operational Strategy KYC / KYB Pipeline & Remediation: Support Compliance-managed KYC and KYB onboarding pipelines, identifying friction points, accelerating throughput between business units and Compliance, and resolving operational friction. Risk Governance and Coordination: Serve as the key liaison to the US Risk organization, providing assistance in the monitoring of KRIs and the implementation of the risk framework. Customer-Facing Content Governance: Lead the cross-functional workflow for Compliance and Legal reviews of growth assets, including marketing campaigns, product launches, promotional materials, and client communications. Client Support & Compliance Alignment: Partner closely with Client Support and Compliance to streamline escalated customer workflows, ensure client support operations reflect regulatory requirements, and resolve customer-impacting compliance bottlenecks. Controls Product Management: Work with Legal, Compliance, and Risk to understand key risks associated with new product launches, and utilize relationships with Product to promote innovation and product delivery. Local Market Governance Executive Reporting: Lead and coordinate reporting for executive meeting cadences, including soliciting updates and insight from business and control leads to present a cohesive view of US market performance and opportunities. Policy & Procedures: Support the drafting and upkeep of operational policies and procedures. Prepare regular risk, control, and operational performance reporting for senior leadership. First-Line Defense Leadership: Represent business operations in first-line risk management activities, supporting RCSAs, maintaining risk registers, and ensuring control effectiveness. What We Look For In You Experience: 3+ years of progressive experience in Strategic Operations, Program Management, Compliance Operations, Governance, or Risk Management within fintech, crypto/web3, or heavily regulated financial services. Fluidity & Growth Mindset: A "builder" mindset with high comfort in ambiguous, rapidly evolving environments. Ability to pivot smoothly from tactical execution (tracking pipeline bottlenecks) to strategic alignment (launching new market initiatives). Incident & Process Acumen: Proven track record leading cross-departmental incident response, mapping workflows, and executing post-incident remediation. Cross-Functional Stakeholder Management: Superior written and verbal communication skills; demonstrated ability to build trusted partnerships across control and first line teams. Perks & Benefits Competitive total compensation package L&D programs for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $107,002 to $160,503 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. #LI-SK1 #LI-HYBRID Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .