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Location: Oklahoma, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role As a Data Center Technician , you will play a vital role in maintaining and optimizing the IT infrastructure within our data center. This includes working hands-on with modern technologies such as the advanced H200 GPU cloud cluster. Your responsibilities will include supporting the data center’s IT infrastructure by troubleshooting and resolving hardware issues, performing hardware and network diagnostics, carrying out physical repairs, and ensuring the smooth operation of critical systems. This is a shift-based role and may also require occasional travel between data center locations. You will work onsite in our Oklahoma data center location. Your responsibilities will include: Diagnosing and resolving issues related to IT hardware and ensuring the continuous support of the data center's IT infrastructure across all compute, storage, and networking platforms. Collaborating effectively with internal teams and external contractors to address technical and operational challenges across the data center floor. Installing, upgrading, and decommissioning hardware based on operational requests, change requests, and project requirements. Managing and maintaining the connectivity of fiber optic cables, copper patch cords, and structured cabling in accordance with Nebius standards and documentation. Planning, executing, and monitoring regular IT tasks — including preventive maintenance, break/fix activities, and routine deployments — to maintain and improve data center infrastructure operations. Supporting the Return Merchandise Authorization (RMA) process by assisting with hardware identification, fault documentation, and coordination with the DC Diagnostic & RMA team, in accordance with established Nebius procedures. Developing and maintaining clear, accurate documentation including hardware configurations, troubleshooting guides, maintenance logs, and operational runbooks. Collaborating with cross-functional stakeholders including shift leads, infrastructure engineers, and DC management to ensure work is completed to standard and on schedule. Participating in shift-level technical tasks and project execution as directed by the Senior DC Technician or Lead DC Technician. Monitoring and reporting on the status of assigned work items, incidents, and hardware tasks through Nebius ticketing and operational systems. We expect you to have: Hands-on experience diagnosing and resolving server hardware issues in a production or enterprise data center environment. A solid understanding of data center operations, server architecture, and network equipment principles. Basic proficiency in the Linux operating system and familiarity with command-line tools for system identification, log review, and basic diagnostics. Practical experience working with server IT hardware, enterprise-grade network switches, and fiber optic cabling. Proficiency with standard documentation and productivity tools including spreadsheets, with the ability to maintain logs, records, and operational reports. A proactive, responsible, and quality-focused approach to work with a strong commitment to safety and process adherence. Core Physical Requirements: Ability to stand and remain on your feet for extended periods, typically four or more consecutive hours during active shift operations. Ability to safely lift, carry, and position equipment weighing up to 50 pounds unassisted, and heavier loads with appropriate team-lift protocols or mechanical aids. Comfortable working at heights including ascending and descending ladders, raised platform equipment, and elevated data center infrastructure. Ability to work in confined spaces such as under raised floors, within enclosed rack enclosures, and in cable management pathways. Comfortable working in environments with variable temperatures, including cold aisle containment zones and active cooling infrastructure. Manual dexterity sufficient to handle small form-factor components, precision cabling, and fine connector installations. Visual acuity sufficient to read equipment labels, small-form-factor interface indicators, and detailed wiring diagrams in variable lighting conditions. Ability to push or pull equipment carts, server sleds, and wheeled infrastructure weighing up to 500 pounds on level surfaces. It will be an added bonus if you have: Valid Driving License Project planning skills Compensation We offer competitive hourly rates, ranging from $30.00 – $42.00 per hour based on your experience. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Bengaluru Workplace: Hybrid 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 As a Product Backend Engineer on Harvey’s product engineering team, you will design and operate the backend systems that turn cutting-edge AI capabilities into seamless, dependable product experiences. You’ll build secure, multi-tenant services, orchestrate interactions with LLMs and agentic tools, and help define the backend architecture that powers Harvey’s rapidly expanding product surface. Your work will have immediate business and customer impact as you ship the foundational systems behind our next generation of AI products. WHAT YOU'LL DO - Collaborate closely with Product to prioritize customer-focused work and deliver reliable features quickly in a fast-moving environment. - Design and own backend services and APIs that power Harvey’s web applications, workflows, and integrations. - Model and manage data in Postgres and related data stores to support low-latency, reliable user experiences. - Build secure, multi-tenant, permissions-aware systems with appropriate auditing for enterprise and government customers. - Implement backend features and workflows that use LLMs and agentic tools, orchestrating calls to our AI systems from robust, well-structured services. - Collaborate with frontend, product, and design partners to shape solutions, define clear API contracts, and ship features end-to-end. - Add meaningful logging, metrics, and tracing so services are observable, debuggable, and ready for on-call ownership. - Improve performance and scalability by profiling bottlenecks, tuning queries, and refining service boundaries as usage grows. - Participate in code reviews, technical design discussions, and an on-call rotation for the services you own. WHAT YOU HAVE - 10+ years of backend engineering experience building and operating production web applications or SaaS products. - Track record of building fast-growing SaaS products by leveraging PWA technologies - Track record of shipping highly intuitive products, strong attention to detail - Strong programming skills in Python and experience with a modern web framework (e.g., FastAPI or Flask). - Hands-on experience with relational databases (e.g., Postgres) - Solid understanding of API design, authentication/authorization, background job patterns, and robust error handling. - Experience building for Cloud Infrastructure such as Azure, AWS, or GCP. - Comfort operating services in production using logs, metrics, dashboards, and alerts, including participation in an on-call rotation. ADDITIONAL INFORMATION - Work eligibility: Must be authorized to work in India. Visa sponsorship is not available for this role. PLEASE FIND THE APPLICANT PRIVACY FOR THIS REGION HERE https://www.harvey.ai/legal/india-applicant-privacy-notice. #LI-DM1 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: Home based - EMEA; Office Based - London, UK Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. The role of a Technical and Reporting Accountant at Canonical: If you are passionate about the technology industry and want to work for a company that aligns with your interests, we might be the place for you! Canonical, and our world class Ubuntu product, attracts some of the leading talent from around the world. Come and work with exceptional people and advance your career in Finance! Our Finance team is growing and it's a really exciting time to join the team. We are looking for bright, motivated people who have a passion for making a difference. You will be seeking an opportunity to drive process improvements and change, input your ideas and truly contribute to a highly productive team. We are looking for an exceptional Technical and Reporting Accountant with IFRS experience to help us ready the business for public market scrutiny through our planned IPO. The right candidate will have domain expertise and a passion for IFRS. Location: This role may be office based in London, or Remote in EMEA Time Zones. What your day will look like Research and interpret new and existing accounting standards Provide technical accounting advice for complex transactions Draft accounting papers and policy documentation Monitor regulatory changes and assess their impact on the business Assist with the year end external audit process and support the internal audit team Assist in the month end reporting process to deliver timely and accurate information to management Ensure compliance with relevant accounting standards (e.g. IFRS, local GAAP) Assist in the preparation of statutory accounts and annual reports across multiple subsidiaries and jurisdictions Support the finance team's wider plans to prepare for an IPO Improve the efficiency of financial processes and procedures and monitor compliance Share knowledge between team members to ensure cover is available when needed Actively develop your own skills to ensure current knowledge of applicable standards and regulations Establish strong relationships with key colleagues outside the wider finance team What we are looking for in you Exceptional academic track record and subsequent career performance. Bachelor's degree in Accounting or equivalent. Qualified accountant (ACCA, ACA, ACMA, CPA, etc.). Strong knowledge of IFRS and local GAAP. Experience in financial reporting and statutory accounts preparation. Experience at a large public accounting firm, or public multinational corporate accounting department preferred. NetSuite or similar enterprise grade systems experience. Business level written and spoken English. Sincere personal motivation aligned with our mission. International travel 2-4 times a year for company events up to two weeks long. In addition we expect that you will match our values, by being: Precise, taking care to deliver correctness and clarity. Reliable, delivering high quality work that builds trust and confidence. Accessible, collaborating to build products and systems that are usable. Adroit, blending enthusiasm, knowledge, adaptability, style and character. What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Team Member Assistance Program & Wellness Platform Opportunity to travel to new locations to meet colleagues Priority Pass and travel upgrades for long-haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004.​ Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Location: Remote (USA) Workplace: remote Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.   We’re a team of fiercely driven individuals committed to making healthcare more sustainable—and we’re looking for passionate people to help us get there.   For more information, visit arcadia.io.     Why This Role Is Important to Arcadia  Arcadia's data platform powers population health analytics for health plans, ACOs, and provider groups across the country. As a Lead Analytics Engineer — Data Modeling & Quality, you sit at the intersection of data quality ownership and analytical data modeling. You'll own the SQL and DBT layer that transforms raw clinical and claims data into trusted, production-grade datasets, while also serving as the quality authority for the data those models produce. This is a hybrid role — deeper SQL and DBT expertise than a traditional Data Health Professional, with a more analytical and model-focused scope than a Data Engineering role. You're less focused on pipeline infrastructure and more on the logic, shape, and trustworthiness of the data itself.   What Success Looks Like In 3 months Independently triage and resolve pipeline data quality issues Author at least one new DBT model or refactor an existing one to meet current modeling standards Understand the end-to-end pipeline from ingress through silver and gold, and be able to trace a data quality issue to its root layer In 6 months What You'll Be Doing DATA MODELING & DBT DEVELOPMENT Author, review, and maintain DBT models using Spark/Hudi from ingest through bronze and silver Help clients understand their data model, assumptions, and limitations through intentional validation Troubleshoot and fix issues, then write DBT tests to catch issues proactively Optimize SQL performance for slow-running jobs Partner with Data Engineering on table design, partition strategy, and incremental patterns DATA QUALITY OWNERSHIP Triage and classify data quality alerts, distinguishing source-level issues from transform-layer failures Design and maintain volume monitors and DQ monitors (null rate, distribution, future-date checks) Author and apply clinical DQ rules (entity volume, field coverage, LOINC coverage, referential integrity) and claims validation rules across silver and gold layers Conduct quality reviews for connector promotions — evaluating silver entity coverage, validation rule pass rates, and bronze-to-silver transformation correctness Own the ticket queue for DQ, attribution, hierarchy, and customer-specific data quality issues, writing clear customer-facing findings CROSS-FUNCTIONAL QUALITY COLLABORATION Lead data quality reviews during connector installation and promotion (UAT → PRD), including claims validation playbooks and null analysis Partner with Data Engineering on root-cause triage for errors, ingress anomalies, and silver table issues surfaced through data quality monitoring Coordinate with the Measure Implementation Team (MIT) when data quality issues affect quality measure scores Contribute to and enforce data modeling standards across teams TECHNOLOGIES Data modeling: DBT-Spark, SQL, Claude Warehousing: Amazon Redshift, Apache Hudi, AWS Athena Data quality: volume/DQ monitors, DBT tests Orchestration: Argo Workflows, Airflow Source control: Git / GitHub, PR-based review workflows Observability: Grafana, Jira Healthcare data: Claims (plan/professional/pharmacy), EHR (clinical entities), MPI What You'll Bring Education: Bachelor's or Master's degree in Computer Science, Statistics, Business, Economics, or a related field Experience: Advanced SQL: window functions, complex CTEs, aggregation patterns, performance tuning on columnar databases DBT: hands-on experience authoring models, tests, macros, and yml documentation; familiarity with incremental strategies Healthcare data literacy: working knowledge of claims data (professional, institutional, pharmacy), clinical data (EHR entities), and common quality dimensions (member months, coverage rates, null patterns) Data quality mindset: ability to differentiate source data issues from transform issues, design systematic validation checks, and communicate data quality findings clearly Skills: Clear communicator — able to translate technical findings for clients and non-technical stakeholders Strong analytical judgment — you can look at a distribution and know when something is wrong Ability to manage several projects simultaneously, leveraging AI tooling to stay organized and efficient Genuine desire to learn and apply AI tools for operational efficiency Would Love For You To Have Experience with Spark SQL and Hudi table format Familiarity with data quality monitoring tools Comfortable operating in an AI-first environment using Claude to build/verify various day-to-day workflows Exposure to population health analytics concepts: HEDIS measures, risk adjustment, value-based care metrics Python scripting for data investigation and automation Experience with Argo Workflows or similar orchestration platforms Healthcare data standards: ICD-10, CPT, NDC, LOINC, NPI What You'll Get Work alongside a talented team on some of the most complex and rewarding challenges in healthcare data Flexible, fully remote work environment with the resources and support to do your best work Exposure to senior leaders Be on the front lines of AI adoption — use cutting-edge tools to accelerate your work and shape how the team operates in an AI-first environment Make a meaningful impact on healthcare data operations by improving the quality, reliability, and trustworthiness of data that drives patient care decisions Be a part of a mission driven company that is transforming the healthcare industry Become a member of the talented, energized, diverse and purpose-driven Arcadian Community About Arcadia Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website. Protect Yourself If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website. This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.  For any security-specific roles, the responsibilities would be further defined by the hiring manager.

Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. We are seeking a seasoned Staff Engineer to help drive our Continuous Integration (CI)  team. This role is critical in ensuring the reliability, scalability, and efficiency of our development pipelines, enabling engineers across the company to ship high-quality software quickly and confidently. The Staff Engineer will help drive the design, implementation, and optimization of systems that support automated testing, build orchestration, and deployment. What you’ll do Systems & Operations Own the design, scalability, and reliability of build and pipelines across multiple services and platforms. Ensure fast, reliable feedback cycles for developers by optimizing build times, test coverage, and reporting. Implement monitoring, alerting, and incident response processes for CI systems to minimize downtime. Collaboration & Enablement Work closely with across engineering to ensure smooth integrations and deployment workflows. Identify developer pain points and lead initiatives to improve productivity through tooling, automation, and best practices. Evangelize CI/CD practices across the organization to raise engineering efficiency standards. Leadership & Strategy Contribute to and help drive the vision for continuous integration and developer productivity infrastructure. Lead and mentor other CI engineers, fostering a culture of ownership, collaboration, and technical excellence. Partner with engineering leadership to align CI systems with broader product and platform goals. What we look for Proven experience driving and leading engineering efforts in CI, build systems, or developer productivity domains. Strong background in modern build systems (e.g. GitHub, Buildkite, Artifactory). Familiarity with cloud-native environments (AWS, Kubernetes) and infrastructure-as-code practices. Solid programming background (Python, Kotlin, Java, or similar) and ability to guide technical decision-making. Excellent problem-solving skills, with the ability to balance long-term vision with short-term impact. This position requires either equivalent practical experience or a Bachelor’s degree in a related field Proficiency with managing build systems and frameworks for large monorepos. Active contributor to open source projects or previous experience with large-scale software development at a leading tech company is a plus. About You: You are driven by a passion for CI/CD and possess a deep commitment to enhancing developer experiences. You excel in a collaborative team setting, valuing diverse perspectives and contributions. You are proactive, taking initiative to solve complex systems challenges and drive impact across the organization. Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. Pay Grade - P Equity Grade - 7 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). CAN base pay range per year: $181,000 - $241,000 This posting is for an existing vacancy. #LI Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. We are seeking a seasoned Staff Engineer to help drive our Continuous Integration (CI) team. This role is critical in ensuring the reliability, scalability, and efficiency of our development pipelines, enabling engineers across the company to ship high-quality software quickly and confidently. The Staff Engineer will help drive the design, implementation, and optimization of systems that support automated testing, build orchestration, and deployment. What you’ll do Systems & Operations Own the design, scalability, and reliability of build and pipelines across multiple services and platforms. Ensure fast, reliable feedback cycles for developers by optimizing build times, test coverage, and reporting. Implement monitoring, alerting, and incident response processes for CI systems to minimize downtime. Collaboration & Enablement Work closely with across engineering to ensure smooth integrations and deployment workflows. Identify developer pain points and lead initiatives to improve productivity through tooling, automation, and best practices. Evangelize CI/CD practices across the organization to raise engineering efficiency standards. Leadership & Strategy Contribute to and help drive the vision for continuous integration and developer productivity infrastructure. Lead and mentor other CI engineers, fostering a culture of ownership, collaboration, and technical excellence. Partner with engineering leadership to align CI systems with broader product and platform goals. What we look for Proven experience driving and leading engineering efforts in CI, build systems, or developer productivity domains. Strong background in modern build systems (e.g. GitHub, Buildkite, Artifactory). Familiarity with cloud-native environments (AWS, Kubernetes) and infrastructure-as-code practices. Solid programming background (Python, Kotlin, Java, or similar) and ability to guide technical decision-making. Excellent problem-solving skills, with the ability to balance long-term vision with short-term impact. This position requires either equivalent practical experience or a Bachelor’s degree in a related field Proficiency with managing build systems and frameworks for large monorepos Active contributor to open source projects or previous experience with large-scale software development at a leading tech company is a plus. This position requires either equivalent practical experience or a Bachelor’s degree in a related field. About You: You are driven by a passion for CI/CD and possess a deep commitment to enhancing developer experiences. You excel in a collaborative team setting, valuing diverse perspectives and contributions. You are proactive, taking initiative to solve complex systems challenges and drive impact across the organization. Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. Base Pay Grade - P Equity Grade - 13 Employees new to Affirm typically come in at the start of the pay range . Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $230,000 - $290,000 USA base pay range (all other U.S. states) per year: $204,000 - $264,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: New York Office Workplace: Hybrid Taktile empowers financial institutions to transform into truly AI-native organizations. We’re growing rapidly with enterprise customers across banks and insurance companies, and we’re looking for a Lead Solutions Engineer in our NYC headquarters. As a Lead Solutions Engineer focused on enterprise pre-sales, you are the technical bridge between our enterprise prospects and our AI-powered decisioning platform. You will partner with the Sales Team to architect AI-driven solutions for the world's most innovative financial institutions. Your mission is to secure the technical win by demonstrating how Taktile leverages Generative AI and advanced ML to solve complex credit, risk, and fraud challenges. You are a trusted advisor to our customers and help them achieve their strategic goals and realize value by using Taktile in their decisioning tech stack. If you are passionate about cutting-edge technology, stay up to date on the latest AI developments, and have a few years of hands-on experience with Python, APIs, and modern AI models in customer-facing environments - all while thriving in a an awesome team that empowers you to grow, then we think you'll love this job! About You - You excel at navigating complex Enterprise organizations with stakeholders across different levels of seniority and including both technical stakeholders in an organization (e.g. Principal Engineers, Data Scientists) as well as business stakeholders (e.g. Risk Managers, Credit Analysts). - You have 3+ years of hands-on experience writing production Python code - You are curious and customer-centric. You enjoy learning about our customers’ and prospects’ businesses and helping them solve challenges. - You are able to plan and manage the technical scope of Proof of Concepts (POCs) and technical evaluations. You excel at managing multiple high-stakes prospects simultaneously while partnering with Sales to drive deals to close - You are humble and have a growth mindset, with a willingness to learn new skills and methodologies and bring best practices into our business. - You are collaborative and work well with your peers in Marketing, Sales, Product, Engineering and the Customer Success team. - You have a proven track record of supporting high-contract-value enterprise deals. You understand that winning an enterprise deal requires more than just good code—it requires strategic positioning, deep discovery, and the ability to handle complex technical objections. - You are open to a hybrid work model and can work from our NYC office at least three days per week. What You'll Do - You help scale the impact of the Solutions function by creating reusable collateral, establishing solution patterns, and mentoring others on customer engagement and technical strategy. - You discover and translate customer's strategic priorities and problem statements into high impact Agentic AI use cases leveraging Taktile during the sales process and throughout the Enterprise sales cycle, focusing on uncovering high-value AI use cases that justify significant investment and strategic partnership. - You lead the design and execution of proof-of-value projects that combine customer data, ML/AI models, and Taktile’s platform to demonstrate strategic ROI. You build technical prototypes and demos leveraging the Taktile platform that simulate production-grade integrations and workflows. - You collaborate with partners and customers to design and build solutions in Taktile's Agentic Decisioning Platform. - You lead proof-of-value projects and can communicate the value opportunity of a full implementation and the corresponding strategic roadmap to senior stakeholders up to C-level executives. - You work with product management to share competitive intelligence and prospect insights gathered during the sales process, helping shape Taktile's AI product roadmap and positioning strategy. - You lead the discovery for new use cases and implement them on the platform to assess product-solution fit. You provide feedback to our product team and share results of your discovery with go to market functions. Ideal, But Not Required - You have experience operating in a technical leadership role—whether by owning strategic accounts, mentoring junior team members, or shaping solution strategy at scale in a high-growth environment. - Live for Customer Value: You have at least 5-7 years of experience working within Enterprise Solution/ Sales Engineering in B2B SaaS, or in a senior technical consulting role - Technical expertise: You have deep expertise with enterprise-level infrastructure and architecture, including an extensive understanding of APIs. - You have experience building, tuning, or deploying ML models (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow) in production settings - Experience with AI use cases in financial services (e.g. fraud detection, credit scoring, underwriting) is a strong plus. - You are comfortable explaining how a model works to both a technical stakeholder such as a CTO and domain experts such as Credit Risk Managers - You have acquired domain expertise in the financial services industry (banking, insurance, capital markets, payments, etc.). Our Offer - Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here - Make an impact and meaningfully shape an early-stage company - Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo - Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. - Receive a top-of-market equity and cash compensation package - Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes. - Use the equipment of your choice including meaningful home office set-up. Our Stance - We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply - We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears About Us Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com https://taktile.com. About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process. Your Privacy. Taktile ("we" or "us") is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references. How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities. Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)). Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates' data becomes part of their employment records. Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent. California residents have additional rights under the CCPA, including the right to know, delete, and correct personal information. Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review. International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms. By submitting your application, you acknowledge that you have read and understood Taktile's Applicant Privacy Policy https://taktile.com/legal/applicant-privacy-policy. To exercise your rights or ask questions, contact privacy@taktile.com.

Location: Warsaw, Poland Are you looking for the next professional opportunity that will challenge you and advance your career? Join our team now! Tickmill is looking to hire a Senior AI/ML Engineer (AI Lead) to join our rapidly expanding team. The ideal candidate will be a highly hands-on and business-oriented professional, capable of designing and delivering production-grade AI systems that drive measurable business impact. About Tickmill. Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options). Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide. Our culture is built on trust, transparency, and high standards.  We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields. Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can. We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth. Join the Tigers! What does the role look like? The Senior AI/ML Engineer (AI Lead) will have the chance to: • Design, develop, and productionise machine learning models end-to-end (training, validation, deployment, monitoring, retraining), ensuring reliability in real-world environments. • Lead the development of AI use cases such as client lifetime value (CLV), churn prediction, and fraud/abuse detection, with clear alignment to business outcomes and measurable impact. • Build and establish robust MLOps practices, including model deployment pipelines, CI/CD, environment promotion (dev/stage/prod), and lifecycle management. • Implement model monitoring frameworks to track performance, data drift, data quality, and business impact, with clear retraining and escalation strategies. • Ensure model explainability and transparency using techniques such as SHAP, feature attribution, and other interpretability methods appropriate for business-critical and regulated contexts. • Define and enforce best practices around model governance, documentation, versioning, and auditability, proportional to model risk and business impact. • Collaborate closely with Data Engineering to ensure high-quality data pipelines, feature engineering, reproducibility, and scalable data foundations. • Work cross-functionally with Product, Risk, Commercial, and other stakeholders to translate business problems into pragmatic AI solutions, balancing speed and robustness. • Drive continuous improvement through feedback loops, monitoring insights, and model retraining strategies, rather than one-off model delivery. • Mentor team members and promote best practices in production AI, MLOps, and applied machine learning delivery. What do you need to succeed in this role? • 5–8+ years of experience building and deploying machine learning models in production environments (not just experimentation). • Strong Python programming skills and solid software engineering fundamentals (testing, code quality, modular design, maintainability). • Strong understanding of machine learning concepts, model evaluation, feature engineering, and practical considerations in production systems (e.g. data leakage, drift, stability). • Hands-on experience with large-scale data processing (Spark / PySpark). • Experience with ML lifecycle tools (MLflow or similar) for experiment tracking, model management, and reproducibility. • Experience building and maintaining CI/CD pipelines (GitHub Actions preferred) for ML or data workflows. • Strong SQL skills and experience working with large, complex datasets in real-world environments. • Proven ability to deliver AI/ML solutions with measurable business impact, not just model performance improvements. • Experience working with model deployment, monitoring, drift detection, and retraining strategies in production systems. • Strong communication skills with the ability to work effectively with both technical and non-technical stakeholders, translating trade-offs clearly. • Ability to operate effectively in environments with evolving requirements, imperfect data, and delivery pressure, balancing MVP speed with production robustness. The below are considered as a plus: • Experience in fintech, trading, or financial services environments, particularly where models influence business-critical decisions. • Experience with real-time or streaming ML systems. • Familiarity with modern AI approaches such as LLMs, embeddings, or retrieval-augmented generation (RAG), particularly where applied to business workflows or integrated with structured data. • Experience working in regulated environments and implementing model governance frameworks (e.g. auditability, explainability, approvals, documentation standards). • Experience contributing to team standards, mentoring, or leading applied AI delivery. By joining us, you can expect: • Unique opportunity for a career in a global, fast-growing company. • Attractive remuneration package based on qualifications and experience. • Opportunities to learn and grow through our “Employee Training & Development program”. • Hybrid work flexibility. • Multiple events to bond with the team and the group. • Birthday and loyalty benefits. Make your next career step and apply NOW! *Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.

Location: New York; San Francisco Workplace: Hybrid 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 We’re looking for a versatile Senior Analytics Engineer to partner closely with our Finance team in building the financial data foundation that drives decision-making at Harvey. With product-market fit already proven and demand surging across diverse customer segments, you’ll design clean, reliable pipelines and semantic data models that turn source data into usable insights. As an Analytics Engineer on our team, you’ll help evolve our data stack, champion best practices in testing and documentation, and collaborate closely with product, finance, and leadership to ensure every team can answer its own questions with confidence. If you combine engineering rigor with a love of storytelling through data we’d love to meet you. WHAT YOU'LL DO - Design and build scalable data models and pipelines using dbt to transform raw data into clean, reliable assets that power company-wide financial analytics and decision-making. - Define and implement a robust semantic layer (e.g. LookML/Omni/Other) that standardizes financial and operating metrics, including revenue, retention, customer growth, usage, margin, and forecast inputs. - Partner cross-functionally with Product, Finance, and the Exec Team to deliver intuitive, consistent dashboards and analytical tools that surface business health metrics (ARR, NRR). - Establish and champion data modeling standards and best practices, guiding the organization in how to model data for accuracy, performance, usability, and long-term maintainability. - Lead data governance initiatives, ensuring high standards of data quality, consistency, documentation, and access control across the analytics ecosystem. - Structure financial metric definitions, business logic, and accounting context in ways that can support AI-assisted reporting, natural language analytics, and automated anomaly detection. WHAT YOU HAVE - 5+ years of experience in Analytics Engineering, Data Engineering, Data Science, or similar field. - Deep expertise in SQL, dbt, Python, Snowflake. - Experience with modern BI tools like (Looker/Omni, or similar). - Skilled at defining core financial and operating metrics, uncovering insights, and resolving data inconsistencies across complex systems. - Strong familiarity with version control (GitHub), CI/CD, and modern development workflows. - Bias for action – you prefer launching usable, iterative data models that deliver immediate value over waiting for perfect solutions. - Strong communicator who can build trusted partnerships across Finance, GTM, Product, and Exec stakeholders. - Comfortable working through ambiguity in fast-moving, cross-functional environments. - Balances big-picture thinking with precision in execution — knowing when to sweat the details and when to move quickly. - Experience modeling financial, billing, subscription, CRM, or usage-based revenue data. - Strong understanding of business metrics such as ARR, MRR, churn, retention, expansion, bookings, billings, and revenue recognition. BONUS - Early employee at a hyper-growth startup - Experience with or knowledge of AI and LLMs - Data Engineering Experience - Experience managing data warehouse (preferably Snowflake) - Experience at world-class enterprise orgs (ex: Brex, Ramp, Stripe, Palantir) COMPENSATION $155,000 - $235,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-CD1 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: Bengaluru Workplace: Hybrid 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 As a Product Backend Engineer on Harvey’s product engineering team, you will design and operate the backend systems that turn cutting-edge AI capabilities into seamless, dependable product experiences. You’ll build secure, multi-tenant services, orchestrate interactions with LLMs and agentic tools, and help define the backend architecture that powers Harvey’s rapidly expanding product surface. Your work will have immediate business and customer impact as you ship the foundational systems behind our next generation of AI products. WHAT YOU'LL DO - Collaborate closely with Product to prioritize customer-focused work and deliver reliable features quickly in a fast-moving environment. - Design and own backend services and APIs that power Harvey’s web applications, workflows, and integrations. - Model and manage data in Postgres and related data stores to support low-latency, reliable user experiences. - Build secure, multi-tenant, permissions-aware systems with appropriate auditing for enterprise and government customers. - Implement backend features and workflows that use LLMs and agentic tools, orchestrating calls to our AI systems from robust, well-structured services. - Collaborate with frontend, product, and design partners to shape solutions, define clear API contracts, and ship features end-to-end. - Add meaningful logging, metrics, and tracing so services are observable, debuggable, and ready for on-call ownership. - Improve performance and scalability by profiling bottlenecks, tuning queries, and refining service boundaries as usage grows. - Participate in code reviews, technical design discussions, and an on-call rotation for the services you own. WHAT YOU HAVE - 10+ years of backend engineering experience building and operating production web applications or SaaS products. - Track record of building fast-growing SaaS products by leveraging PWA technologies - Track record of shipping highly intuitive products, strong attention to detail - Strong programming skills in Python and experience with a modern web framework (e.g., FastAPI or Flask). - Hands-on experience with relational databases (e.g., Postgres) - Solid understanding of API design, authentication/authorization, background job patterns, and robust error handling. - Experience building for Cloud Infrastructure such as Azure, AWS, or GCP. - Comfort operating services in production using logs, metrics, dashboards, and alerts, including participation in an on-call rotation. ADDITIONAL INFORMATION - Work eligibility: Must be authorized to work in India. Visa sponsorship is not available for this role. PLEASE FIND THE APPLICANT PRIVACY FOR THIS REGION HERE https://www.harvey.ai/legal/india-applicant-privacy-notice.. #LI-DM1 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: China Workplace: OnSite ABOUT HUMAN ARCHIVE Human Archive is a research lab backed by Y Combinator focused on modeling human embodied intelligence. Humans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence — including the human hand, proprioception, and vision — remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself. Founded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability. The deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity. We are building the infrastructure to accelerate that transition by assembling the Human Archive mafia. You will own meaningful systems from day one and see your work directly impact model capabilities. This is a once-in-a-generation inflection point. If you want to help reshape physical labor and work on problems that matter at civilizational scale, join us. What you'll work on The single hardest role on the team. You'll own the entire optics and calibration stack — lens selection, image quality, intrinsics, extrinsics, ISP tuning, multi-camera alignment. End to end. Optics and sensor selection - Lens characterization (MTF, distortion, chromatic aberration) - Sensor variant evaluation and selection - Optical mount tolerance budget with the mechanical team - IR filter and lens shading correction approach Image quality and ISP tuning - AE, AWB, color matrix, gamma, lens shading correction - Multi-camera color and exposure consistency - Image quality validation in mixed real-world lighting Multi-stage calibration pipeline - Camera intrinsics and fisheye distortion modeling - Stereo and multi-camera extrinsics - Camera-IMU spatial and temporal calibration - Magnetometer calibration in the assembled stack Calibration infrastructure - Rig design and fixture builds (turntables, lighting, targets) - Calibration software pipeline - Automated verification and QA systems - Documentation for factory deployment Production and field calibration - Factory-floor calibration procedure - Per-unit calibration QA gating - Field calibration drift monitoring - Sensor / lens transition tooling Required technical experience - Hands-on multi-camera calibration (intrinsics, stereo, multi-rig) - Fisheye distortion modeling (Kannala-Brandt or equivalent) - IMU calibration: bias, alignment, Allan variance, temperature curves - Calibration tooling and infrastructure for production - Comfortable in both the optics lab and the calibration software stack Strong plus - OpenCV, Kalibr, or similar calibration frameworks - ISP tuning on Qualcomm, NXP, or Ambarella platforms - AR/VR, autonomous vehicle, or research-grade capture device background - Camera-IMU temporal alignment - Manufacturing calibration line experience - Uncertainty quantification and error analysis About this role Your work determines whether thousands of hours of captured data is usable. Bad calibration is silent — data passes acceptance and fails downstream model training months later. The candidate pool is small. We pay top of band.

Location: Danbury, United States What Can We Do for You? Competitive Pay (Depending on Experience and License). Company Phone and iPad provided for efficient job management. A stable work environment where your leadership is valued. Continuous professional training and development opportunities. Medical, dental, and vision insurance Long-term disability, short-term disability, and company-paid life insurance. 401K plan with company match. PTO and paid holidays. Responsibilities and Expectations Lead and execute advanced diagnostics, repairs, and preventative maintenance on complex commercial HVAC equipment (5+ tons), including chillers, boilers, VRF systems, air handlers, and roof-top units (RTUs). Act as the senior technical resource for the commercial service team, providing expert guidance, troubleshooting support, and mentorship to junior technicians. Interpret and work from commercial blueprints, wiring diagrams, and technical specifications to ensure compliant and effective repairs. Ensure all service work adheres strictly to local codes, EPA regulations (especially Section 608 for refrigerants), manufacturer specifications, and safety standards. Provide professional and clear communication to facility managers, building owners, and engineers regarding system status, complex repair options, and system efficiency recommendations. Utilize company-provided iPad and smartphone for efficient service documentation, time tracking, digital reporting, and professional communication. Ensure the company vehicle is fully stocked, organized, and properly maintained for complex commercial needs. Requirements Required: 3-5 years of experience in Commercial HVAC service and repair. S-2 (Unlimited Heating, Piping & Cooling) or D-2 (Limited Warm Air, A/C, and Refrigeration) License is REQUIRED. Demonstrated experience in taking ownership of commercial jobs, performing high-level diagnostics, and leadership or mentoring. Strong technical knowledge of commercial-grade HVAC systems, electrical schematics, controls (DDC), and refrigeration principles. Must hold a current EPA Section 608 Universal Certification for refrigerant handling. Proficiency with technology, including using an iPad and company smartphone for daily job management. Must have a valid driver's license and maintain a clean driving record.

Location: Remote Senior Drilling Engineer About the Company In the coming decades, demand for critical minerals such as copper, lithium, and cobalt will continue to grow. These minerals are needed to build electric infrastructure, vehicles, data centers, and electronics. However, the mining industry is making 10x fewer discoveries per dollar spent on exploration compared to 30 years ago because the easy-to-find, near surface deposits have largely been discovered. KoBold was founded to be the first AI native mineral exploration, mine development, and technology development company. Our goal is to turn mineral exploration into a repeatable science to discover the minerals the world needs—by integrating artificial intelligence, human intelligence, and new technology. Our multidisciplinary teams of data scientists, engineers, and geologists work together to build data systems, design new sensors, and establish industry-leading workflows to develop and test subsurface predictions on our exploration projects. Our first discovery, Mingomba, is a high-grade copper deposit in Zambia, found after spending materially less than industry average. We are developing Mingomba with the same technical rigor that we apply to exploration. The Mingomba team brings together mine and processing engineers, geologists, data scientists, software engineers, and community, health & safety, construction, and operations specialists. By combining industry knowledge and cutting edge technology, we are developing Mingomba into a world class project that has safer and more predictable outcomes for ourselves, partners, and communities. It is expected to create thousands of good jobs for generations. KoBold runs exploration programs in eight countries, all with the potential for another discovery. KoBold is privately held; investors include institutional asset managers T. Rowe Price and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Breakthrough Energy Ventures, BOND Capital, Durable Capital, StepStone, and Standard Investments; and strategic natural resources companies BHP and Mitsubishi. About the Role: In the role of Senior Drilling Engineer, you will design, plan, and provide technical oversight of drilling programs across KoBold’s global exploration portfolio. You will work closely with our science teams to translate exploration objectives into hole designs, drilling programs, and operational plans that deliver safe, high-quality data collection at optimal cost. You will report to the Vice President Field Operations and collaborate daily with Geologists, Data Scientists, Field Operations, Drilling, HSE, and other functions. Your primary responsibility will be to serve as the technical lead for drilling engineering on multiple concurrent projects across diverse geographies and commodities. Responsibilities Design and Plan Lead hole design, drilling method selection, and rig specification for complex exploration drilling programs including diamond core, sonic, reverse circulation and air core programs Develop comprehensive drilling execution plans: scope, cost estimates, schedules, risk assessments, and procurement strategies Complete detailed engineering design to inform the development of drilling programs for various hole types including casing design, torque and drag analysis, directional drilling design, mud system design. Complete detailed root cause analysis on all downhole failures with a particular focus on rod string and thread failures, stuck in hole, wireline failures and the correlation to dogleg severity, hole trajectory, and adherence to good drilling practices. Collaborate with KoBold’s science teams to translate exploration hypotheses and data collection objectives into executable drilling programs and AFEs Lead procurement processes from RFP development through bid evaluation and contractor selection, including assessment of contractor safety management plans and technical capability Contribute to data collection planning during all phases of the Exploration Project Lifecycle Generate creative drilling solutions that improve efficiency, data quality, or safety beyond conventional approaches Mentor 2 junior drilling engineers to develop skills related to all aspects noted above Execute Provide technical oversight of drilling operations across multiple concurrent programs, ensuring adherence to hole design, safety standards, and data collection objectives Use advanced hole design and analysis software tools to conduct analyses and develop recommendations during active programs Manage and direct contractor performance, providing technical guidance, feedback, and improvement recommendations Track and forecast production rates, costs, and resource requirements; synthesize complex operational scenarios with benefits and risks for leadership review Ensure drilling safety and value engineering principles are applied throughout program execution Identify and resolve complex multivariable drilling problems using independent judgment and technical expertise Mentor 2 junior drilling engineers to develop skills related to all aspects noted above Close Lead post-program reviews and lessons learned to drive continuous improvement in drilling operations Contribute to the development of KoBold’s drilling engineering standards and best practices Mentor 2 junior drilling engineers to develop skills related to all aspects noted above Compliance and Stakeholder Engagement Ensure drilling programs comply with applicable regulatory, environmental, and permitting requirements across multiple jurisdictions Ensure execution is conducted within applicable permitting processes, land access agreements, community relations obligations, third-party agreements, and any joint venture requirements Represent KoBold to drilling contractors, regulatory bodies, and external partners with professionalism and sound judgment Qualifications Undergraduate or Masters degree in Mechanical, Petroleum, Civil, Geological or Electrical with 7+ years of progressive experience in drilling engineering for oil and gas and/or mineral exploration Fully competent in all standard drilling techniques and procedures, with advanced knowledge of diamond core drilling operations across multiple program types, geographies, and commodities Advanced knowledge of construction methodology relevant to drilling programs, including seasonal and terrain-specific construction (tracks, pads, access roads) Advanced understanding of helicopter-supported exploration drilling, including utilization optimization and emergency response considerations Proficiency in hole design and analysis software tools Strong understanding of procurement processes: RFP development, bid evaluation, contract administration, and vendor management Demonstrated commitment to health and safety standards, including incident management, root cause analysis, and corrective action implementation Comprehensive knowledge of industry drilling codes, company standards, and safety policies Ability to design complex drilling programs including scope, cost estimates, risk assessments, procurement, and execution plans Ability to work in remote and isolated locations for extended periods across diverse global environments A high degree of independence and the ability to work effectively with limited supervision Must speak, read, and write in English, French fluency considered a strong positive Valid First Aid Certification (Level 3 or Wilderness First Aid preferred) Working towards or holding P.Eng. designation or equivalent professional registration Preferred Expert-level knowledge of drilling operations across multiple program types, geographies, and commodities, preference given to those with experience in Africa Experience working on projects with dedicated exploration teams including both Geologists and Data Scientists, demonstrating sustained partnership and effective interdisciplinary collaboration Understanding of regulatory, environmental, and permitting frameworks across multiple jurisdictions Experience with logistics tied to complex remote drilling operations, including helicopter, weather, camps, chartered flights, and camp infrastructure Experience evaluating and introducing new drilling technologies and methodologies Experience mentoring junior drilling engineers and technical staff Additional language skills (French, or languages relevant to KoBold’s operating jurisdictions) are an asset What We Value Effective communication with team members across Geology, Data Science, HSE, Aviation, Legal, Community Relations, and Land and Permitting Perpetuating KoBold’s ethical standards through your own actions and in communicating with others Active collaboration with science teams to ensure drilling programs are optimized for data collection objectives Translating complex technical drilling programs into clear, executable operational work packages for cross-functional audiences Composure and professionalism in high-pressure field situations; serving as a stabilizing presence when others look for direction Receiving constructive and critical feedback with grace and providing constructive guidance to others Interest in contributing broadly to the success of the company and eagerness to pitch in where needed What to Expect Joining KoBold means getting the opportunity for hands-on exposure to our exploration projects around the world. All employees are expected to travel to project sites, with a minimum of one week per year. Field-facing and technical roles spend significantly more time in the field. KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunities for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status. This position is a Full-Time Employee Location: Location: Remote. Preference will be given to candidates legally authorized to work in the United States, Canada, Australia, South Africa, United Kingdom, or Zambia. Compensation ranges are listed in USD. If you are based outside the US, the range may not translate directly: US pay reflects a different market with different competitive dynamics, so we benchmark roles against the local market rather than converting the listed figure.

Location: Tel Aviv Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally. As a Software & Data Engineer at Via, you will play a central role in building and evolving the data infrastructure that powers one of the world's leading transportation platforms. You'll work with rich, complex transportation data - from ride bookings and payments to real-time operational signals - designing the pipelines and systems that turn raw data into clean, reliable, and actionable insight across the business. This is a high-ownership role on a talented and deeply motivated engineering team in Tel Aviv, where your work will directly shape how Via understands and improves its service for cities and riders around the world. About the Role: Design and build highly scalable, reliable data pipelines that serve clean, structured data across Via's engineering, product, and business teams - ensuring the entire organisation can trust the data it works with Own the architecture of complex data models that translate messy, real-world transportation data - bookings, payments, driver activity, and more - into systems that are fast, efficient, and built to scale Lead end-to-end development across the full data lifecycle: from architecture and design through to deployment, monitoring, and continuous improvement Proactively monitor data quality and reliability, identifying and resolving discrepancies before they reach stakeholders - building the kind of data infrastructure people can depend on Collaborate with a broad forum of engineers, analysts, and business stakeholders to identify data needs, design POCs, and ship scalable solutions that make a real difference to how Via operates Contribute to the adoption and evolution of our modern data stack, including DBT, Airflow, Iceberg storage, and AWS big data tooling such as Glue, EMR, and Athena About You: 5+ years as a Data Engineer with production-grade Python and SQL Solid data warehousing experience (e.g., Snowflake, Databricks, Redshift, BigQuery). Hands-on AWS familiarity: Lambda, S3, SNS/SQS, Firehose, and related lake/ingestion patterns. Platform mindset: reliability, observability, and systematic production debugging. Terraform/IaC skills: read, modify, and ship changes for EKS-based deployments. AI tooling fluency: Cursor/Claude as a primary workflow, can navigate unfamiliar codebases with AI assistance Experienced with modern data stack tooling; DBT, Airflow, and Iceberg storage are a significant advantage, as is familiarity with AWS big data services and BI tools such as Looker or Tableau Passionate about data and genuinely curious about technology - you're the kind of person who identifies a gap, designs a solution, and sees it through without being asked A strong collaborator who thrives working across engineering and business teams, comfortable translating ambiguous business needs into precise, well-designed data models Self-driven and comfortable navigating complexity independently - you bring clarity to hard problems and raise the bar for the people around you Compensation and Benefits: Our product impacts millions of users around the world  providing alternative transport solutions that are more: efficient and accessible, changing cities to make them greener. Competitive compensation package which includes base salary and equity Health insurance with a discount for family members Hybrid work and a lovely office situated in the heart of TLV, in Midtown, close to the light rail and train station Career development and growth opportunities Other perks: Freefit and other sports lessons, 10bis/Cibus - you choose!, happy hours, team events, communities and many more benefits There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride? Via is an equal opportunity employer. We’re Via, and we build technology that changes the way the world moves. We’re driven by a simple mission: to create modern and efficient public transportation systems that provide far greater access to jobs, healthcare, and education. With our best in class suite of products, we make transit thrive. Our teams of worldclass engineers, data-scientists, product managers, operations specialists, marketers, transit experts and more bring cutting-edge AI-powered software and innovative technology-enabled operations to our partners across the globe. Founded in 2012, Via builds solutions to digitize, automate, and enable data-driven decision making for entire transportation networks; fixed-route buses, microtransit, paratransit, school buses, autonomous vehicles, and more. If you’re excited to be at the forefront of modernizing the future of transportation, are up for solving tough problems, and willing to become/already are a transit nerd, we are the place for you. Even if your past experience doesn’t align perfectly with every qualification in the job description for this role, we encourage you to apply. You may be just the right candidate for this or other opportunities. Ready to join the ride? Via is an equal opportunity employer.

Location: Remote About us OpenZeppelin is the security standard onchain finance is built on. Founded in 2015, our mission is to accelerate the world's transition to an open financial system, built on open standards and secured by rigorous research. Our open-source Contract Libraries have facilitated over $35 trillion in onchain value and are used by 10 of the top 10 tokenized money market funds and 9 of the top 10 stablecoins by market cap. We combine AI-native security tooling with deep research and a decade of audit expertise to support leading institutions and crypto-native teams shaping the next generation of digital assets like DTCC, Fidelity, Coinbase, Uniswap, Aave, the Ethereum Foundation, and many more across the full secure development lifecycle. Please note: Always refer to OpenZeppelin's official job page for the most accurate information about our open roles, as we have seen multiple third party job sites posting inaccurate information. The Secure Development team ❤️ OpenZeppelin is the security partner of choice for the most important protocols in Web3. Our Secure Development team sits at the intersection of building and breaking: we design, implement, and harden production-grade libraries and smart contracts for leading projects across EVM, Starknet, Stellar/Soroban, Arbitrum Stylus, Aptos, and beyond, often as an embedded extension of the client's engineering team. We work the way the rest of the industry will five years from now. Every developer on the team is a fully AI-native engineer, supported by outstanding internal AI tooling built for every phase of secure development. Developers own their workstreams end-to-end — agents amplify their effectiveness, and peers, security researchers, and external auditors provide rigorous review on every piece of work that ships. The Canton Network engagement This role joins an active 24-month, multi-million-dollar commitment to build the open-source DeFi foundations of the world's most institutional blockchain. You'll deliver production-ready Reference Implementations (privacy-preserving DEX, lending, cross-chain stablecoin settlement, confidential auction launchpad, and more), the OpenZeppelin Contracts Library for Daml that Canton developers will import, and Canton standards implementation. Within this, you will: Own features of the OpenZeppelin Contracts Library for Daml end to end, from design through audit: examples include a Timelock, access control, vaults, or token standard support. Design and implement components of the year-1 Reference Implementations: privacy-preserving DEX, lending protocol, cross-chain stablecoin settlement, and confidential auction launchpad. Implement and shepherd the OZ Daml versions of CIP-56, CIP-86, CIP-103, future CIPs. Coordinate with Digital Asset on spec evolution and with ChainSafe on middleware alignment. Present and defend your designs in technical discussions with Digital Asset, the Canton Foundation, and other partners. Work with OpenZeppelin's security researchers on threat models, audit preparation, and fixes for the components you own. Use AI systems as core daily tools for research, design, implementation, testing, and security work. Build agents, skills, and workflows, and share what works with the team. Contribute developer-experience and security feedback upstream into the Canton protocol, Splice, the Daml SDK, and the Splice Wallet Kernel. Research privacy-preserving DeFi, multi-party authorization patterns, and Canton-specific primitives, and share what you learn with the team. You have Production Daml fluency. You understand templates, choices, controllers/observers/signatories, multi-party authorization, sub-transaction views, and propose/accept patterns as first-class primitives. Running an SV, contributing to Splice internals, governance, or Canton Coin tokenomics. Canton architecture depth. You understand the network, not only the code: the Global Synchronizer and private synchronizers, what each party and synchronizer sees in a transaction, smart contract upgrades, and the token standards (CIP-56, CIP-112). 3+ years of smart contract development in production. This includes hands-on work on Canton or another UTXO-based or privacy-preserving architecture (Cardano, Midnight, Zcash, Aleo, Mina, or similar). You can reason about Canton's privacy boundaries the way an EVM developer reasons about storage slots. Production DeFi experience. You have shipped DeFi primitives such as AMMs, vaults (ERC-4626 or equivalent), lending protocols, or cross-chain settlement, and you understand the security pitfalls of each. You know the standard EVM patterns (access control, token standards, lending pools, DEXs), because many Canton standards reuse them. A security-first mindset. This is non-negotiable. You build secure code by default, you think adversarially about every line you write, and you find vulnerabilities when you review Daml code. We look for a developer with a security mindset, not a security researcher. Published audits, threat models, or disclosures are a plus. An AI-native workflow. Claude Code, Cursor, or equivalent is your daily driver. You know agents, harnesses, and skills, not only autocomplete. You hold AI output to the same standard as a colleague's pull request, and you stay accountable for everything you ship. Fluency in client-facing communication (English) Autonomy and proactivity. Nice to have Cryptography or financial-engineering background. Privacy-preserving DeFi rewards both. Institutional finance and compliance design experience. Credential gates, multi-party attestation, custody flows, capital-markets microstructure, RWA tokenization, settlement. Experience running an SV , contributing to Splice internals, governance, or Canton Coin tokenomics. Cross-chain interoperability exposure. Production work with at least one major cross-chain messaging protocol (Chainlink CCIP, LayerZero, Wormhole, Axelar, or similar). Library / SDK API design taste. You've built reusable, import-first developer libraries, not just applications. You have opinions on extensibility patterns (hooks, modular components, override points) and on what makes an audited primitive pleasant to consume. Experience applying AI to security work. You've already used AI as a serious instrument in security workflows: audit assistance, vulnerability research, fuzzing, invariant or spec analysis, static-analysis augmentation, or similar. Hands-on experience with non-EVM ecosystems. Starknet, Stellar/Soroban, Arbitrum Stylus, Aptos, Move-based chains. Open-source contributions to widely-used libraries in the smart-contract or AI-tooling space. Logistics Our interview process is designed to be fast (we target ~30 days from first call to offer) while still giving both sides a clear "yes." The full process consists of: Recruiter interview (30-45 minutes) Manager interview (60 minutes) Team interview (45 minutes) Leadership Interview (30 minutes) Paid technical work trial Please let us know if you require any accommodations for the interview process, and we’ll do our best to provide assistance. Benefits Meet your teammates at company gatherings around the world 😎 Enjoy the flexibility of fully remote work 🌎 Take the time you need with flexible time off 🏝 Grow your family with 8 weeks of paid leave for primary caregivers, 4 weeks for secondary caregivers, and a one-time $3,600 baby bonus 💙 Build your ideal home office with up to $500 in equipment support 🪑 Stay covered with medical insurance 🏥 Keep growing with learning and development opportunities 🧠 Get a monthly stipend for your preferred co-working space 💻 At OpenZeppelin , we are an equal opportunity employer and we value different perspectives. We are committed to building a diverse workforce. This includes but is not limited to gender, race, sexual orientation, religion, national origin and other characteristics that make each one of us unique. In this uniqueness, we find the most value. Come join us! Use of AI as part of the recruiting process As part of OpenZeppelin’s recruitment process, we may use automated tools, including artificial intelligence, to assist in reviewing applications and assessing candidate qualifications. These tools are used to support our People team by identifying relevant skills and experience, and are not used to make decisions solely by automated means. All hiring decisions involve human review. Any personal data provided as part of your application will be processed in accordance with OpenZeppelin’s Data Privacy Notice . If you have questions about this recruitment process or would like to request human review of your application, please contact us at talent@openzeppelin.com.

Location: Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity As an Infra Product Manager focused on Algorithm and Search, you will be responsible for the deep, high-quality delivery of core Web3 Infra components — primarily the algorithm platform, search system, and related AI capabilities that serve Wallet, DEX, and other businesses. You will work closely with engineering, data, and data science teams to ensure that core problems are solved correctly, that products meet stringent performance, accuracy, and scalability bars, and that every release is reliable and production-grade. This role demands strong execution discipline, technical depth, and the ability to drive complex algorithmic and search problems from design through delivery. What You’ll Be Doing Algorithm Platform Development: Design and iterate the algorithm platform supporting on-chain data analytics, trading signal discovery, risk control, and recommendation scenarios. Own the full lifecycle of algorithm models — integration, evaluation, deployment, monitoring, and iteration — to ensure efficient and reliable outputs. Web3 Search System: Drive the product design and continuous optimization of the Web3 search system (across tokens, addresses, NFTs, transactions, protocols, and more). Improve relevance, recall, latency, and ranking quality through close collaboration with search and data engineering teams. AI Integration: Embed AI capabilities (AI Agent, LLM, embedding / vector retrieval) into algorithms and search products to deliver smarter on-chain intelligence and trading experiences. Validate model effectiveness, fine-tune, and productionize. Onchain Data and Smart Contract Analysis: Conduct deep research on smart contracts, protocol mechanics, and on-chain behaviors. Translate protocol-level insights into algorithmic features, search signals, and product improvements. Quality & Delivery Excellence: Own end-to-end delivery quality — from spec, to dev, to QA, to launch, to post-launch metrics. Build robust evaluation, monitoring, and iteration loops to ensure long-term product health. What We Look For In You Education: Bachelor's degree or above in Computer Science, Software Engineering, Statistics, or a related field. Work Experience: 5+ years of Product Manager experience. Strong preference for candidates with hands-on experience in algorithm platforms, search / recommendation systems, or AI products. Web3 industry experience is a plus. Technical Skills: Solid understanding of algorithm platforms, ML model lifecycles, evaluation metrics, and offline/online experimentation. Hands-on experience with search systems (indexing, ranking, relevance, retrieval) is highly valued. Proficiency in AI technology, AI Agent, LLM, embedding / vector retrieval, and AI application experience. Experience with blockchain fundamentals, smart contracts, on-chain data analysis, consensus mechanisms, and cross-chain technologies. Familiar with onchain and Web3 ecosystems, with active engagement in the crypto community. Soft Skills: Strong execution discipline, attention to detail, and ownership over delivery quality. Strong problem-solving skills, with the ability to break down complex algorithmic / search problems into solvable pieces. Excellent communication and collaboration skills with engineering, data, and data science teams. Fluent in English and Chinese. Nice to Haves Knowledge of Web3-related products and deep technical understanding of blockchain, smart contracts, and related technologies. Experience with on-chain trading and an understanding of on-chain opportunity discovery processes. Familiarity with tokenomics and an understanding of economic incentive mechanisms in the Web3 space. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-MX1 #LI-ONSITE Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Hong Kong, Hong Kong SAR Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity As an Infra Product Manager focused on Algorithm and Search, you will be responsible for the deep, high-quality delivery of core Web3 Infra components — primarily the algorithm platform, search system, and related AI capabilities that serve Wallet, DEX, and other businesses. You will work closely with engineering, data, and data science teams to ensure that core problems are solved correctly, that products meet stringent performance, accuracy, and scalability bars, and that every release is reliable and production-grade. This role demands strong execution discipline, technical depth, and the ability to drive complex algorithmic and search problems from design through delivery. What You’ll Be Doing Algorithm Platform Development: Design and iterate the algorithm platform supporting on-chain data analytics, trading signal discovery, risk control, and recommendation scenarios. Own the full lifecycle of algorithm models — integration, evaluation, deployment, monitoring, and iteration — to ensure efficient and reliable outputs. Web3 Search System: Drive the product design and continuous optimization of the Web3 search system (across tokens, addresses, NFTs, transactions, protocols, and more). Improve relevance, recall, latency, and ranking quality through close collaboration with search and data engineering teams. AI Integration: Embed AI capabilities (AI Agent, LLM, embedding / vector retrieval) into algorithms and search products to deliver smarter on-chain intelligence and trading experiences. Validate model effectiveness, fine-tune, and productionize. Onchain Data and Smart Contract Analysis: Conduct deep research on smart contracts, protocol mechanics, and on-chain behaviors. Translate protocol-level insights into algorithmic features, search signals, and product improvements. Quality & Delivery Excellence: Own end-to-end delivery quality — from spec, to dev, to QA, to launch, to post-launch metrics. Build robust evaluation, monitoring, and iteration loops to ensure long-term product health. What We Look For In You Education : Bachelor’s degree or above in Computer Science, Software Engineering, or a related field. Work Experience : 5+ years of Product Manager experience. Strong preference for candidates with hands-on experience in algorithm platforms, search/recommendation systems, or AI products. Web3 industry experience is a plus. Technical Skills : Solid understanding of algorithm platforms, ML model lifecycles, evaluation metrics, and offline/online experimentation. Hands-on experience with search systems (indexing, ranking, relevance, retrieval) is highly valued. Proficiency in AI technology, AI Agent, LLM, embedding / vector retrieval, and AI application experience. Experience with blockchain fundamentals, smart contracts, on-chain data analysis, consensus mechanisms, and cross-chain technologies. Familiar with onchain and Web3 ecosystems, with active engagement in the crypto community. Soft Skills : Strong execution discipline, attention to detail, and ownership over delivery quality. Strong problem-solving skills, with the ability to break down complex algorithmic / search problems into solvable pieces. Excellent communication and collaboration skills with engineering, data, and data science teams. Fluent in English and Chinese. Nice to Haves Knowledge of Web3-related products and deep technical understanding of blockchain, smart contracts, and related technologies. Experience with on-chain trading and an understanding of on-chain opportunity discovery processes. Familiarity with tokenomics and an understanding of economic incentive mechanisms in the Web3 space. 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! Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong #LI-MX1 #LI-ONSITE 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: Jakarta, Indonesia; Bangkok, Thailand; Kuala Lumpur, Malaysia; Philippines; Indonesia About Aura by Hex Trust Aura by Hex Trust is the private wealth business of Hex Trust. We bring institutional-grade digital asset infrastructure - custody, trading, yield, structured products - to high net worth (HNW) individuals and family offices, delivered through a Relationship Manager–led model backed by an easy-to-use app. The wealth opportunity in digital assets is one of the most underserved segments in the industry. HNW clients want exposure but lack a trusted, regulated, full-service partner. Aura fills that gap, combining the security and licensing of Hex Trust with the personal service private clients expect. About Hex Trust Hex Trust is a fully-licensed digital asset financial institution building the infrastructure institutions use to operate in crypto. Custody, staking, capital markets, investment solutions, payments, fiat ramping, RWAs, and tokenization — all on one regulated platform. Founded in 2018, we're licensed across multiple jurisdictions (HK, SG, Dubai, SVG). As institutional capital moves into crypto and the RWA and payments narratives accelerate, we're one of the few players who can serve institutions as a fully-regulated, one-stop-shop partner. We serve 600+ institutional clients globally: funds, family offices, banks, foundations, token issuers, payment firms, OTC desks, and corporates. We're well-capitalized, growing consistently, and built on a sustainable model. We operate 24/7 from hubs in Hong Kong, Singapore, Dubai, and Vietnam. You'll work alongside a senior commercial team, own real institutional relationships, and get exposure to the most active parts of the market. We're scaling fast. If you want to sell into the institutional side of crypto at a firm that's actually licensed to do it, this is the place. Position Summary We offer an attractive, formula-based, uncapped bonus structure tied directly to revenue, paid quarterly. As a Relationship Manager at Aura, you'll originate and grow your own book of HNW and family office clients on a fresh platform. You'll have direct access to the full Hex Trust group - institutional products, regulated infrastructure, and senior leadership -  and real influence over product direction as we scale. This is an early-stage hire. If you're an experienced wealth or sales professional looking to build something rather than inherit it, this is the seat. Duties & Responsibilities Establish and grow long-term relationships with HNW clients , family offices, and private wealth channels, contributing to increased AUM, trading volume, and product adoption Cultivate and expand partnerships with relevant distribution partners and intermediaries to further drive growth in AUM. Lead prospect and client meetings, clearly articulating Hex Trust’s value proposition and capturing feedback for continuous improvement. Identify cross-selling opportunities across trading, structured products, and lending solutions to deepen client engagement. Work with Marketing Team to identify and support activities designed to attract and activate client base Oversee smooth onboarding and ongoing relationship management in collaboration with compliance, legal, and operations. Deliver best-in-class, white-glove service—positioning Hex Trust as a trusted partner for private clients and family offices in digital assets. KPIs: No. of clients, Revenue, Assets on Platform, Net New Money Requirements 5–15 years of experience in relationship management, private banking, wealth management, and/or institutional/crypto financial services. Demonstrated success in growing AUM and managing sophisticated private clients or family office accounts. Strong knowledge of financial markets and investment products; digital asset familiarity required. Proven ability to deliver high-touch, client-first service in a demanding environment. Excellent communication, presentation, and negotiation skills with credibility in front of senior stakeholders. Entrepreneurial, adaptable, and proactive in identifying solutions and opportunities. Fluency in English required; additional languages (e.g., Mandarin, Arabic) are highly valued. Candidates who do not tick all the boxes are still encouraged to apply, those with less experience will still be considered for the position but with relevant adjustments to seniority. Benefits As one of the leading Web3 innovators, Hex Trust offers a front-row seat in the ever-changing blockchain & crypto industry. We genuinely believe that people are our greatest asset, and invest heavily so they’re best prepared to support our mission to unlock ownership in decentralized markets! You will be joining a company that is always committed to creating a supportive & inclusive environment that promotes personal and professional growth that furthers your success and drives innovation, collaboration, and passion in the blockchain space. At Hex Trust, we are proud of our H.E.X. culture: Heart Empowerment Xcellence Join us at Hex Trust and not only can you look forward to working with blockchain professionals to build the decentralized future, but also: Competitive Salaries & Bonuses Generous Amounts of Paid Time Off (incl. leave for Birthdays, Work Anniversary, and Mental Health etc.) Access to Corporate Discounts and exclusive Employer Perks Medical & Retirement Plans Professional Learning and Development Opportunities Elevate your work using cutting-edge technology Fun & friendly office spaces in Hong Kong, Singapore, Dubai and Vietnam Regular company & social events Hex Trust is an equal-opportunity employer devoted to diversity and inclusion in the workplace. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status.