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Location: New York, United States; San Jose, California, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Opportunity As an Associate General Counsel for Employment, you will be responsible for global employment matters reporting directly to the Global Head of Employment Legal, who is located in the US. You will work closely with other members of the Legal team and business leaders throughout the company, but especially with our global HR, finance, and compliance departments. The ideal candidate will be based out of our San Jose, California or New York office. The right candidate will have an understanding of and enthusiastic belief in the cryptocurrency/digital asset space, 7+ years of experience working on employment matters for a top law firm as well as in-house at a fast-paced, brand-name business. We are looking for a teammate with strong academic credentials and excellent analytical skills. The ideal candidate will have strong expertise and experience in advising business leaders to produce quick analyses of issues related to employment law and HR, including recruiting, hiring, immigration, internal investigations, employee relations and employment litigation and arbitration. We offer a competitive base salary and bonus structure as well as excellent benefits and an opportunity to work in a cutting-edge industry that will be the future of financial services What You’ll Be Doing Supporting the business by managing and handling legal HR, employment, and recruiting matters for the company and its global affiliated entities, with a primary focus on supporting OKX group operations in the US and across the globe. Supporting our HR, finance, compliance and recruiting departments on a daily basis by providing legal advice and guidance on all employment matters affecting the company; Driving the strategy and managing employment litigation and arbitration matters and retaining and supervising outside counsel; Supporting HR and compliance by advising on internal investigations and interviewing employees; Working with other members of the Legal team and business partners on legal issues and matters touching on employee retention, payroll, executive compensation, benefits, performance management, and immigration and visa issues; Build and uplevel employment legal processes and infrastructure, moving the function from ad hoc support toward a structured, best-in-class practice. Partner directly with senior regional leadership to operationalize their strategic direction. What We Look For In You Attorney licensed to practice law in the US. 7+ years of experience at a top-tier law firm and/or in-house legal team working on international employment matters; Comfortable working independently in a fast-paced, growth-stage and multi-cultural environment; Ability to effectively advise and build trust with business teams; Ability to work in a high-functioning legal team and feel comfortable in a collaborative working environment; Experience working on cross-jurisdictional matters and a global legal team; Ability to translate complex legal concepts into practical and actionable business advice for non-legal audiences; Drafting, reviewing and negotiating offer letters, employment agreements, incentive plans and severance agreements. 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! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $171,733 - $257,599 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. #LI-SK1 #LI-HYBRID Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Container runtimes were designed for general-purpose software workloads. AI inference is not a general-purpose workload. Running large models at production scale exposes cracks in every layer of the container stack: runtimes unaware of GPU memory constraints, images that take minutes to pull when a model needs to scale to thousands of replicas, and isolation mechanisms that weren’t designed for the multi-tenant serving environments that production AI requires. The tools the industry has relied on for a decade weren’t built for this, and patching around those limitations at higher layers only goes so far. Baseten owns the entire pipeline, from the moment a developer pushes a model to the moment a request gets a response. That vertical ownership means we can fix these problems at the root. The Runtime Fabric team is doing exactly that: purpose-building the container runtime and storage layers for AI inference workloads, led by some of the world’s top containerd maintainers. As Engineering Manager for Storage Products on the Runtime Fabric team, you will lead the engineers who build and run the storage products behind that stack: the Baseten Delivery Network (BDN), which sits in the cold start path of every model on the platform, the snapshotters and filesystems that expose model weights and container images to a running container, and the storage that model deployment and training need next. The team is advancing the next generation of caching for inference workloads, from the origin tier to the GPU host. You will own reliability for the area as a measured outcome, report to the head of Runtime Fabric, and stay close to the code through design and code review. If you’ve managed systems engineers and have hands-on experience with caching, content-addressable storage, or distributed filesystems, we’d love to talk. EXAMPLE INITIATIVES - How the Baseten Delivery Network (BDN) makes cold starts fast https://www.baseten.co/blog/how-the-baseten-delivery-network-bdn-makes-cold-starts-fast/ - Extending BDN from model weights to container image layers, training checkpoints, and deployment artifacts - Lazy-loading snapshotters and block-level delivery (EROFS, FUSE, ublk) so a container can start before the full image or model has arrived RESPONSIBILITIES Team Leadership and Culture - Hire and grow a team of 5 to 10 systems engineers with storage, caching, and Linux expertise - Run the team’s planning and delivery: scope work against the Runtime Fabric roadmap, set priorities, and ship on a predictable cadence - Provide regular coaching, feedback, and career development support to your direct reports - Own on-call health for the team’s services, including escalation paths and follow-through on incidents Technical Direction - Guide the architecture and evolution of the Baseten Delivery Network: the tiered caching and weight delivery product that makes cold starts 2-3x faster and eliminates thundering herd failures during burst scaling events - Shape storage products tailored to Baseten’s workloads: extend BDN from model weights to container images, training checkpoints, and deployment artifacts, and define the interfaces that model deployment, training, and customers use to reach them - Oversee the on-host side of delivery: lazy-loading snapshotters, EROFS and overlayfs layouts, and block-level delivery (FUSE, ublk) for multi-gigabyte files - Own reliability of the delivery path as a measured outcome: end-to-end instrumentation from snapshotter initialization to first inference request, targets for cold start and cache behavior, tolerance for failing upstream registries and object stores, and safe rollout of changes to a path every customer depends on - Make the delivery path work across heterogeneous clusters and cloud providers, each with its own object store and network - Review designs and code across the area, and take on hands-on work where it unblocks the team - Champion the team’s contributions back to containerd and the snapshotter ecosystem alongside the maintainers on the Runtime Fabric team Cross-Functional Partnership - Act as the point of contact for storage across Baseten, ensuring model deployment, training, and platform teams have the integration support they need - Optimize requirements for the underlying storage platforms with the infrastructure team: object storage, local NVMe and block storage, and network bandwidth per cluster, so that capacity and provider decisions account for what the delivery path needs - Manage the team’s dependencies in both directions: sequence work that model deployment, training, and infrastructure teams block on, and negotiate interfaces and timelines with the teams and upstream projects the storage path depends on - Work with the head of Runtime Fabric and product stakeholders to prioritize storage investments based on customer impact and infrastructure reliability - Communicate team progress, technical trade-offs, and incidents clearly to the team and to leadership REQUIREMENTS - Experience managing a team of engineers in a systems, infrastructure, or storage context, including hiring and performance management - Hands-on background in distributed storage systems, content-addressable storage, or large-scale caching infrastructure - Strong systems programming background in Go, Rust, and/or C/C++, with the ability to engage credibly in code reviews and architectural discussions - Working knowledge of the Linux storage stack: filesystems, the page cache, block devices, and mounts - Understanding of how container images are structured, stored, and delivered at scale - Strong written and verbal communication skills, with the ability to influence without authority across teams NICE TO HAVE - Contributions to containerd/containerd, snapshotter projects (stargz, soci, nydus, overlaybd), distribution/distribution, or closely related open-source projects - Familiarity with lazy-loading snapshotters or peer-to-peer image distribution - Experience with EROFS, FUSE, ublk, or io_uring - Experience building or operating CDN, object storage, or large-scale caching infrastructure - Experience running storage services on Kubernetes BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Director, Infrastructure Lease Accounting to lead technical accounting for our most complex infrastructure and energy arrangements — the data center leases and related structures underpinning our recently significant investment in American computing infrastructure. As we continue our rapid growth, you will ensure the financial statement accuracy of the most technically complex contracts we enter into. This is an opportunity to be at the heart of one of the fastest-scaling companies in the industry, and to shape how Anthropic accounts for the highest-stakes arrangements underpinning our compute and energy portfolio. You will serve as the technical accounting subject matter expert for arrangements spanning data center leases (ASC 842), and counterparty or joint-venture structures (ASC 810 VIE analysis). You'll work closely with Real Estate, Legal, Finance, and external auditors to ensure accounting implications are understood before commitments are made. Responsibilities Serve as the technical accounting subject matter expert for Anthropic's most complex infrastructure arrangements, leading classification, measurement, and subsequent accounting judgments Apply ASC 842 to complex lease arrangements, including lease identification, modifications, reassessments, and embedded leases within compute, colocation, and data center contracts Apply ASC 810 to counterparty and joint-venture structures, including variable interest entity (VIE) analysis for special purpose entities Apply ASC 815 to energy and infrastructure arrangements, including consideration of embedded derivatives Lead technical accounting analysis and memo preparation for new arrangements, ensuring positions are well-reasoned, supported, and auditor-ready Partner with Real Estate, Legal, and Finance teams during contract negotiation and execution to ensure accounting implications are understood before commitments are made Serve as a trusted finance partner to non-finance stakeholders — explaining the financial statement impact of their decisions in clear, simple terms they can act on Serve as a key point of contact with external auditors on technical accounting matters within your portfolio Mentor accounting professionals across the Infrastructure Accounting team on technical accounting matters Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of technical accounting work Minimum qualifications Have 12+ years of progressive experience in accounting, with meaningful time in a technical accounting role Hold a Bachelor's degree in Accounting or Finance; CPA required Possess strong technical accounting knowledge of ASC 842 (leases), ASC 810 (consolidation, including VIE analysis), and ASC 815 (derivatives and hedging), applied to real arrangements Have a track record of authoring and defending technical accounting memos on complex, judgment-intensive arrangements Demonstrate strong analytical abilities and comfort working with large, complex contracts and datasets Have a track record of improving scalable technical accounting processes in fast-moving environments Are adept at translating technical accounting concepts into financial implications for non-finance stakeholders Communicate clearly and influence effectively across cross-functional partners — Real Estate, Legal, Finance, and Procurement Have experience partnering with engineering, infrastructure, or operations teams to improve financial reporting and cost transparency Preferred qualifications Background in a Big 4 technical accounting practice (SEC reporting / technical consultation) combined with industry experience Experience at hyperscalers, utilities, or energy companies with meaningful PPA, REC, or commodity-arrangement exposure Experience with renewable energy contracts, carbon markets, or related clean-energy accounting frameworks Exposure to data center and compute-related infrastructure arrangements (including colocation, dark fiber IRUs, and equipment leases) Experience with lease accounting software and derivative / hedge accounting systems at scale SQL proficiency for querying and analyzing large contract and accounting datasets Knowledge of AI/ML infrastructure and associated cost structures Experience applying AI tooling (including Claude) to technical accounting research, memo drafting, or close automation Proven ability to navigate ambiguity and drive results in rapidly changing environments The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 — $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Philippines; Nicaragua; Honduras; Ecuador; El Salvador; Guatemala We are seeking a proactive, clinical Medical Receptionist & Insurance Specialist to support our client's fast-paced Orthopedics, Pain Medicine, and PM&R practice. The ideal candidate has strong clinical nursing experience and a proven track record in high-volume phone engagement, recent eClinicalWorks (eCW) navigation, and thorough insurance verification, consistently converting inquiries into scheduled appointments with warmth and accuracy. Patient Engagement & High-Volume Calls Manage high-volume inbound and outbound telephone calls, including prompt callbacks for missed calls and new inquiries. Re-engage inactive patients and follow up on no-shows to keep treatment plans on track. Drive appointment conversion by building immediate rapport, addressing patient hesitation, and answering benefit questions to secure scheduled visits. Maintain complete and meticulous documentation of every patient interaction in the EHR. Insurance Verification & Benefits Review Perform full-scope insurance verifications—evaluating active/inactive coverage, effective dates, copays, coinsurance, deductibles (met vs. remaining), and out-of-pocket maximums. Differentiate between HMO, PPO, Commercial, Medicare, Workers' Compensation, and PIP policies to determine accurate patient financial responsibility. Identify and coordinate referral and prior authorization requirements before patient visits. Ensure in-network vs. out-of-network benefits and policy limitations are clearly verified. Scheduling & Operations Manage and optimize complex physician calendars using eClinicalWorks (eCW). Confirm, schedule, and reschedule patient visits while maintaining organized follow-up queues. Support external outreach by liaising with referring physician offices, attorneys, and medical-legal contacts to support practice volume growth. Requirements Medical VA Experience: 2+ years of virtual assistant support for a U.S.-based medical practice (handling phone workflows, scheduling, verification, and remote physician collaboration). Software Proficiency: Recent, hands-on experience using eClinicalWorks (eCW) . (Note: Outdated experience with eCW will not be considered). Insurance Expertise: Deep operational knowledge of insurance mechanics beyond basic data entry (HMO/PPO, deductibles, prior auths, commercial payers, Medicare). Communication & Presence: Exceptional English language skills with a cheerful, upbeat, and professional phone demeanor capable of building quick rapport. Please note that this is a full-time contractor position (40 hours per week) with a starting pay rate of $6 per hour depending on skillset and experience. The schedule is Monday through Friday, 8am-5pm EST.

Location: Serbia; Georgia; Montenegro; Kazakhstan We are looking for an experienced Fullstack QA Engineer with a background in fintech, banking or other finance-related products to join our banking QA team. We build mobile banking apps on shared backend APIs. You will test both mobile apps and backend services by hand and help us build test automation for APIs and mobile apps. Our products move real money - cards, transfers, payments - so quality here matters. What You Will Do Test new features and run regression for iOS and Android apps; Test backend APIs and integrations: requests, responses, logs; Design and maintain test cases and checklists in TestRail; Build, maintain and run automated API tests with Postman and Newman in GitLab CI; Maintain and extend our existing Java / REST Assured API test framework (TestRail integration, Allure reporting), and bring it back to regular runs; Contribute to mobile UI test automation for iOS and Android — together with developers in their native test suites or with cross-platform tools — with a focus on end-to-end checks against the real backend; Prepare test data and test accounts for automated and manual runs; Help evolve our test automation approach and tooling; Clarify requirements directly with developers and product managers — we have no business analysts, so you will often find out how things should work yourself; Take part in release checks (release candidate testing, post-release smoke) and help improve QA processes; Use AI tools to speed up your work — and verify what they produce. Requirements 3+ years of experience as a QA Engineer; Experience in fintech, banking, payments or other finance-related products; Solid test design skills: you write test cases and checklists from short task descriptions; Hands-on experience testing mobile apps on both iOS and Android (TestFlight / Firebase builds); Strong API testing skills: HTTP, REST, status codes, authorization; Hands-on API test automation: comfortable reading and extending automated API tests in code (Java or Kotlin preferred) and writing simple tests by analogy - not framework architecture from scratch - plus Postman/Newman (scripts, environments, collections); experience running it in CI; Proxy tools - Charles or Proxyman: inspecting traffic, breakpoints, mocking responses; Working with logs to localise bugs; Strong communication skills and a proactive attitude: you ask questions, dig into unclear tasks and own the result; Readiness to test manually - this is not a pure automation role; Russian - native․ Nice to have Building test automation in code from scratch: framework, CI pipeline, reporting; GitLab CI: pipelines, schedules, artifacts; Basic SQL; Mobile UI test automation: Appium, Espresso/Kaspresso or XCUITest; Experience with feature flags and testing releases with partial rollout. Benefits Fully remote work; Monday-Friday schedule, approximately 10:00/11:00 to 18:00/19:00 Moscow/Cyprus time; A service agreement with a Cyprus or Kazakhstan based company; A fixed monthly salary in euros; Paid annual leave of 21 working days; Paid sick leave; Public holidays: New Year holidays through January 4-6, plus May 1-2 or May 8-9; One additional paid day off per month; The opportunity to attend conferences and take training courses at the company's expense; Challenging and engaging tasks; Training on the company's products and processes; A genuinely comfortable and professional working environment; Opportunities to grow and develop together with the company and its products.

Location: Houston, United States We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects. For over 50 years, we have supported our clients across the world with unrivalled expertise, equipment, and technology throughout the entire asset lifecycle – both offshore and onshore. Operating through our global business lines of Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions, we provide a broad range of specialist services including cranes, lifting, fluid power, training, equipment rental, pipeline, process, subsea, and valve services. At EnerMech, we are driven by operational excellence, innovation, and technical expertise, delivering value through integrated solutions that reduce risk, improve efficiency, and enhance performance for our customers worldwide. About the role Enterprise Business Systems (EBS) is EnerMech’s global transformation and technology function. It supports 25 legal entities across four regions and covers infrastructure, cybersecurity, application management, service desk support, transformation initiatives, and enterprise data and intelligence. As PMO Manager, you will be at the center of how EBS decides what to work on and how that work gets delivered. You will run demand intake and prioritization, give leadership a clear view of the portfolio and capacity, and keep our governance forums working well. You’ll do this while the function delivers major technology and data platform programs. Reporting to the VP Transformation & EBS, this is a hands-on role for someone who brings structure and rigor and still makes governance easy for the business to engage with. Key responsibilities: Demand management: Own the EBS demand management process. Make sure every business request is captured, assessed, prioritized, resourced and governed to delivery. Work with business and technology leaders to help them make prioritization decisions that weigh demand against capacity, strategy and operational need. Portfolio management: Keep a complete, accurate view of the EBS project portfolio, covering status, milestones, risks, budget, benefits and delivery performance. Lead portfolio health reviews that bring dependencies, resource constraints and delivery risks to the surface early and drive mitigation. Resource management: Plan and optimize resourcing across EBS teams, contractors and third-party partners. Support annual technology planning, budgeting and roadmap development with demand forecasting and capacity modelling. Application change management: Oversee the full lifecycle of application change requests and defects. Make sure changes are assessed, approved, controlled and implemented through governance. Coordinate with support partners, project managers and technical teams so that enhancements, releases and fixes are delivered on time. Governance: Run the EBS governance forums, including schedules, agendas, action logs, decision registers and communications. Work with project managers and sponsors so that business cases, benefits plans and investment proposals are robust and aligned to strategy. Reporting: Build and maintain portfolio, demand, capacity and performance dashboards that support decision-making. Prepare clear, high-quality papers and packs for the Technology Committee, Architecture Review Board, Change Advisory Board, Data Governance Council, Design Authorities and the EBS Leadership Team. Continuous improvement: Improve PMO processes, governance frameworks, reporting and portfolio practices to raise delivery performance and the experience of the stakeholders who use them. Requirements About you: You are an experienced PMO and portfolio management professional who has run governance and managed technology portfolios in complex, multi-entity or global organizations. You can bring order to competing priorities and are comfortable challenging diverse stakeholders constructively. Your reporting turns data into decisions. You are structured and disciplined, and you can adapt when priorities change. Requirements Essential Bachelor’s degree in Business, Information Systems or a related discipline, or equivalent experience Typically 7+ years in PMO, portfolio or project management roles, including 3+ years leading or managing a PMO within an IT function Hands-on experience running demand intake, triage and prioritization across both BAU and project work Experience managing change requests and defects for ERP or other business-critical systems, including working with third-party support partners Experience in resource and capacity planning across multiple teams A track record of producing reporting and papers for executive and steering committees Strong stakeholder management, communication and analytical skills A recognized project or portfolio management certification (e.g. PMP, MSP or P3O) Nice to have: ITIL 4 Foundation Agile or hybrid delivery experience (e.g. Scrum, SAFe, Kanban) Benefits Why Join EnerMech? At EnerMech, you'll join a global organisation where innovation, collaboration and technical excellence drive everything we do. You'll have the opportunity to influence business strategy, develop long-term customer partnerships and contribute to some of the world's most challenging energy and industrial projects. We offer a collaborative and entrepreneurial environment where commercial leadership is valued, professional development is encouraged and your contribution will directly support the continued growth and success of our business. Diversity & Inclusion EnerMech is committed to creating a diverse and inclusive workplace where everyone feels valued, respected, and empowered to succeed. We welcome applications from candidates of all backgrounds and experiences.

Location: Houston, United States EnerMech is a global specialist services company delivering integrated solutions across the energy and infrastructure sectors. We combine technical expertise, operational capability and a strong focus on safety and performance to support customers throughout the lifecycle of their assets. As we continue to grow, we are strengthening our global Commercial capability and are looking for a Director, Sales Force Effectiveness to help transform how we manage sales, opportunities and customer accounts across the business. The Role This is a global role responsible for building and embedding the sales operating system that will support EnerMech's growth ambitions across our three Global Business Lines. You will establish greater consistency and discipline across our sales lifecycle, including sales methodology, CRM, forecasting, KPIs, account management, sales enablement and governance. Working across a global matrix organisation, you will influence senior commercial and business leaders to embed common standards and create greater visibility and predictability across our sales pipeline. Key Responsibilities Build and embed a consistent global sales methodology and operating framework. Lead CRM development, governance and adoption across sales teams. Establish robust sales forecasting, pipeline management and reporting. Develop global sales KPIs and performance measures. Introduce sales technology, automation and AI to improve insight and productivity. Establish strategic account management standards and processes. Develop sales playbooks, tools, training and manager capability. Improve pipeline quality, forecast accuracy, conversion and commercial visibility. Drive adoption and behavioural change across GBLs and regions. Provide senior leadership with clear insight into sales performance, risks and opportunities. Requirements About You We are looking for an experienced Sales Excellence / Sales Effectiveness leader who has personally built and implemented sales operating systems rather than simply worked within them. You will bring strong experience in sales methodology, CRM transformation and adoption, forecasting, sales KPIs, account management and sales enablement, ideally within a complex global or matrix organisation. Experience in energy, oil & gas, engineering or industrial services would be advantageous but is not essential. You will be commercially credible, analytical and influential, with the ability to challenge senior stakeholders and drive meaningful change without relying on direct authority. This is not a traditional Business Development role. It is an opportunity to build the systems, processes and capabilities that enable a global sales organisation to perform more consistently and predictably. Benefits Why Join EnerMech? At EnerMech, you'll join a global organisation where innovation, collaboration and technical excellence drive everything we do. You'll have the opportunity to influence business strategy, develop long-term customer partnerships and contribute to some of the world's most challenging energy and industrial projects. We offer a collaborative and entrepreneurial environment where commercial leadership is valued, professional development is encouraged and your contribution will directly support the continued growth and success of our business. Diversity & Inclusion EnerMech is committed to creating a diverse and inclusive workplace where everyone feels valued, respected, and empowered to succeed. We welcome applications from candidates of all backgrounds and experiences.

Location: Netherlands; Mexico; Israel; United Kingdom; Portugal At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. And now we are looking for a Senior Silicon Physical Design Engineer to join us as part of our team. About the role Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. As a SoC Physical Design Engineer, you will collaborate with functional design, Design for Testing (DFT), architecture, and packaging engineers. In this role, you will solve technical problems with innovative micro-architecture and practical logic circuits solutions, while evaluating design options with optimized performance, power, and area in mind. The AI and Infrastructure team is redefining what’s possible. We empower customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. We're the driving force behind groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. Work Environment Fully remote role. Flexible schedule with participation in team ceremonies and cross-functional collaboration. As a qualified expert, You will Use problem-solving and simulation techniques to ensure performance, power, and area (PPA) are within defined requirements. Collaborate with cross-functional teams to debug failures or performance shortfalls and meet program goals in lab or simulation. Design chips, chip-subsystems, or partitions within subsystems from synthesis through place and route, and sign off convergence, ensuring that the design meets the architecture goals of power, performance, and area. Develop, validate, and improve Electronic Design Automation (EDA) methodology for a specialized sign off or implementation domain to enable cross-functional teams to build and deliver blocks that are correct by construction and ease convergence efforts. We’re looking for you if you have Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. 5 years of experience with System on a Chip (SoC) cycles. Experience with advanced design, including clock/voltage domain crossing, DFT, and low power designs. Experience in high-performance, high-frequency, and low-power designs. Bonus Points Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture. Experience with scripting languages such as Perl, Python, or Tcl. What’s in it for You Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture. Embrace the opportunity for personal and professional growth Take advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more. Feel cared about Be among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values.

Location: Kaunas, Lithuania Join our global team as an Executive Assistant & Office administrator in Kaunas. The Executive Assistant & Office Administrator primarily supports the CEO while organizing and coordinating office administration, procedures, and front-office management to ensure efficient operations, effective communication, and a safe workplace. Position is office-based in Kaunas, Lithuania Responsibilities: Assist the CEO daily with meeting coordination, calendar management, travel bookings, expense reporting, and internal and external liaison Ensure an effective document management system (registration, distribution, archiving), including administration of the e-signature system (eSygnature) Handle all incoming and outgoing correspondence (mail, packages, couriers) Greet visitors and manage the company’s general email inbox and phone line Assist management with internal communication and coordination activities Provide administrative support to colleagues and executives as needed Maintain department documents and ensure timely transfer to the archive Manage office supplies and facility-related orders, and coordinate their distribution to departments Maintain the front desk, meeting rooms, conference areas, and other shared office spaces Arrange business travel, including bookings for transportation, accommodation, and related logistics Support the organization of internal office events and team gatherings Act as a liaison with external service providers (e.g., cleaning, maintenance, courier services) Requirements University degree – considered an advantage At least 2 years of relevant work experience as an Office Administrator Experience as an Executive Assistant is an advantage Fluent Business English and Lithuanian (written and spoken) Strong document preparation and management skills Knowledge of document preparation and archiving regulations/legislation Excellent knowledge of MS Office applications Proactivity, sense of ownership, and strong organizational skills Benefits International team and environment Bonus based on annual performance Professional growth and career opportunities Personal accident and business trip insurance Additional health insurance Rewarding referral policy Monthly lunch and fruit days Team building, global meetings, other CSR activities Modern and new Sustainable office in city center with free parking Salary ranges 1600-2000 eur/gross/month (depending on experience and skills)

Location: Belgrade, Serbia About the Company: Qualix DOO is the Serbian entity of the international Adrian Magnus brand, part of the Carazo Enterprise Group founded in 2012. We operate across Europe, the United States, and Latin America. Our mission is to bring the world’s finest handcrafted cigars to enthusiasts with precision, integrity, and a deep respect for tradition. Position Summary This is an on-site role based in our New Belgrade office, requiring strong communication skills, outbound B2B sales experience, and the ability to collaborate effectively with international partners across time zones. As a B2B Sales Agent you will play a key role in supporting our expansion into the German market, working with distributors, shops, and retail networks across Germany. Fluency in German (C1–C2) is required , along with the confidence to introduce and position our premium cigar brands to new B2B partners. Key Responsibilities Conduct outbound B2B sales outreach to distributors, retailers, and cigar shops across Germany and the DACH market. Build and manage a sales pipeline — from prospecting to follow-up, negotiation and closing Present product catalogs, pricing, and brand stories to potential partners Maintain accurate CRM records (HubSpot) and follow structured outreach and follow-up cycles Coordinate virtual meetings, discovery calls, and product presentations Collaborate with internal teams (logistics, operations, distribution) to support order processing Provide ongoing market insights and feedback to help refine sales strategy Achieve monthly and quarterly sales targets aligned with growth goals Ensure excellent communication and relationship-building with all B2B partners Requirements Minimum 2 years of sales experience in a Germany-speaking or DACH -focused market (B2B preferred) Fluent English Strong background in outbound sales and cold outreach Based in Belgrade and available to work on-site from our office, Monday–Friday, 10:00 AM–6:00 PM (CEST) Excellent communication, persuasion, and relationship-building skills Experience using CRM systems and modern sales tools Strong discipline in remote work, self-organization, and time tracking Benefits Full-time employment under a local Serbian contract Attractive performance bonuses based on results Opportunity for growth within a rapidly expanding international brand Work with premium global products and a multicultural team

Location: Bangladesh; Brazil; India; Colombia; Egypt; Ghana About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Mechanical or Aerospace Engineering Expertto lead a team of technical trainers developing realistic, terminal-based engineering tasks for advanced AI training and evaluation. You will oversee a pod of approximately 5–10 trainers, review tasks for engineering accuracy and reproducibility, and ensure automated graders reliably assess technical outcomes. This role combines advanced engineering expertise, computational modeling, technical quality assurance, and team leadership to help evaluate and improve next-generation AI systems. CONTRACT: Contractor assignment, 4 weeks COMMITMENT: Hourly, up to 40h/week LOCATIONS: Remote - Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam PROCESS: AI Interview NOTES: PhD Degree is mandatory! Key Responsibilities Lead and mentor a team of 5–10 technical trainers, ensuring consistent task quality, productivity, and timely delivery. Review engineering tasks end to end, including problem statements, geometry and mesh files, simulation inputs, material properties, reference solutions, and automated tests. Validate tasks involving finite-element analysis (FEA), computational fluid dynamics (CFD), thermodynamics, heat transfer, dynamics, robotics, flight simulation, propulsion, and orbital mechanics. Ensure tasks reflect realistic mechanical and aerospace engineering workflows and require meaningful, multi-step technical reasoning. Verify engineering correctness across units, equilibrium, conservation laws, boundary conditions, mesh convergence, solver tolerances, reference frames, and numerical stability. Validate computational environments, simulation tools, solvers, and dependencies to ensure reproducible results. Review automated graders to ensure they assess meaningful engineering outputs, including stresses, deflections, natural frequencies, aerodynamic coefficients, thermal performance, orbital parameters, and safety margins. Identify technical inaccuracies, unrealistic assumptions, incorrect tolerances, and opportunities to bypass genuine engineering calculations or simulations. Provide actionable technical feedback, track revisions, and ensure quality issues are resolved before task approval. Onboard trainers, allocate work, monitor quality and throughput, resolve technical blockers, and maintain technical documentation and best practices. Requirements PhD, postdoctoral experience, or equivalent advanced technical expertise in Mechanical Engineering, Aerospace Engineering, or a closely related discipline. Strong programming skills in Python, C/C++, Fortran, Julia, or MATLAB/Octave. Proficiency in Linux and command-line environments. Hands-on expertise in at least one major area, such as FEA, CFD, dynamics, flight simulation, thermal modeling, astrodynamics, guidance, navigation and control (GNC), or propulsion modeling. Strong understanding of engineering simulation, numerical methods, computational modeling, and technical validation. Experience reviewing complex technical work, engineering simulations, computational models, or research outputs. Ability to assess engineering assumptions, numerical accuracy, solver convergence, and computational reliability. Strong analytical judgment and the ability to identify technical errors, edge cases, and flawed engineering assumptions. Experience mentoring, reviewing, or leading small technical teams. Excellent written communication skills for precise technical feedback and documentation.

Location: Pakistan; Indonesia; Kenya; Turkey; Nigeria; Vietnam About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Mechanical or Aerospace Engineering Expertto lead a team of technical trainers developing realistic, terminal-based engineering tasks for advanced AI training and evaluation. You will oversee a pod of approximately 5–10 trainers, review tasks for engineering accuracy and reproducibility, and ensure automated graders reliably assess technical outcomes. This role combines advanced engineering expertise, computational modeling, technical quality assurance, and team leadership to help evaluate and improve next-generation AI systems. CONTRACT: Contractor assignment, 4 weeks COMMITMENT: Hourly, up to 40h/week LOCATIONS: Remote - Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam PROCESS: AI Interview NOTES: PhD Degree is mandatory! Key Responsibilities Lead and mentor a team of 5–10 technical trainers, ensuring consistent task quality, productivity, and timely delivery. Review engineering tasks end to end, including problem statements, geometry and mesh files, simulation inputs, material properties, reference solutions, and automated tests. Validate tasks involving finite-element analysis (FEA), computational fluid dynamics (CFD), thermodynamics, heat transfer, dynamics, robotics, flight simulation, propulsion, and orbital mechanics. Ensure tasks reflect realistic mechanical and aerospace engineering workflows and require meaningful, multi-step technical reasoning. Verify engineering correctness across units, equilibrium, conservation laws, boundary conditions, mesh convergence, solver tolerances, reference frames, and numerical stability. Validate computational environments, simulation tools, solvers, and dependencies to ensure reproducible results. Review automated graders to ensure they assess meaningful engineering outputs, including stresses, deflections, natural frequencies, aerodynamic coefficients, thermal performance, orbital parameters, and safety margins. Identify technical inaccuracies, unrealistic assumptions, incorrect tolerances, and opportunities to bypass genuine engineering calculations or simulations. Provide actionable technical feedback, track revisions, and ensure quality issues are resolved before task approval. Onboard trainers, allocate work, monitor quality and throughput, resolve technical blockers, and maintain technical documentation and best practices. Requirements PhD, postdoctoral experience, or equivalent advanced technical expertise in Mechanical Engineering, Aerospace Engineering, or a closely related discipline. Strong programming skills in Python, C/C++, Fortran, Julia, or MATLAB/Octave. Proficiency in Linux and command-line environments. Hands-on expertise in at least one major area, such as FEA, CFD, dynamics, flight simulation, thermal modeling, astrodynamics, guidance, navigation and control (GNC), or propulsion modeling. Strong understanding of engineering simulation, numerical methods, computational modeling, and technical validation. Experience reviewing complex technical work, engineering simulations, computational models, or research outputs. Ability to assess engineering assumptions, numerical accuracy, solver convergence, and computational reliability. Strong analytical judgment and the ability to identify technical errors, edge cases, and flawed engineering assumptions. Experience mentoring, reviewing, or leading small technical teams. Excellent written communication skills for precise technical feedback and documentation.

Location: Bangladesh; Brazil; Colombia; Egypt; Ghana; India About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Computer Science, Electrical Engineering, or Computer Engineering Expert to lead a team of technical trainers developing realistic, terminal-based tasks for advanced AI training and evaluation. You will oversee a pod of approximately 5–10 trainers, review tasks for technical accuracy, reproducibility, and grading reliability, and ensure they reflect authentic software, computational, and electrical engineering workflows. This role combines advanced technical expertise, computational problem-solving, quality assurance, and team leadership to help evaluate and improve next-generation AI systems. CONTRACT: Contractor assignment, 4 weeks COMMITMENT: Hourly, up to 40h/week LOCATIONS: Remote - Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam PROCESS: AI Interview NOTES: PhD Degree is mandatory! Key Responsibilities Lead and mentor a team of 5–10 technical trainers, ensuring consistent quality, productivity, and timely task delivery. Review technical tasks end to end, including problem statements, codebases, circuit netlists, hardware description languages (HDL), datasets, computational environments, reference solutions, and automated tests. Validate tasks involving high-performance computing (HPC), parallel computing, algorithms, distributed systems, compilers, operating systems, databases, machine learning systems, GPU computing, circuit design, signal processing, power systems, and embedded systems. Ensure tasks reflect realistic software engineering, research, and electrical engineering workflows requiring meaningful, multi-step technical reasoning. Verify technical correctness across algorithm complexity, numerical accuracy, memory management, concurrency, circuit laws, power balance, signal processing, timing constraints, and system stability. Validate compilers, simulation tools, software dependencies, computational environments, and build processes to ensure reproducible results. Identify unreliable tests caused by nondeterministic behavior, race conditions, hardware-dependent performance thresholds, or simulation convergence issues. Review automated graders to ensure they assess meaningful technical outputs, including functional correctness, performance, frequency response, waveforms, timing, efficiency, and system behavior. Identify technical inaccuracies, flawed assumptions, incorrect tolerances, and ways tasks could be bypassed without genuine computation or engineering analysis. Provide actionable technical feedback, track revisions, and ensure quality issues are resolved before task approval. Onboard trainers, allocate work, monitor quality and throughput, resolve technical blockers, and maintain technical documentation and best practices. Requirements PhD, postdoctoral experience, or equivalent advanced technical expertise in Computer Science, Electrical Engineering, Computer Engineering, or a closely related discipline. Strong programming skills in C/C++, Rust, Python, Julia, Fortran, MATLAB/Octave, or hardware description languages (HDL). Advanced proficiency in Linux and command-line environments. Hands-on expertise in at least one major area, such as parallel computing, systems programming, scientific software development, circuit simulation, signal processing, power systems, or digital hardware design. Strong understanding of algorithms, computational systems, numerical methods, software testing, or electrical engineering principles. Experience reviewing complex codebases, technical implementations, engineering simulations, or research outputs. Ability to evaluate algorithm correctness, computational performance, numerical accuracy, concurrency behavior, and technical reliability. Strong analytical judgment and the ability to identify technical errors, edge cases, race conditions, and flawed engineering assumptions. Experience mentoring, reviewing, or leading small technical teams. Excellent written communication skills for precise technical feedback and documentation.

Location: Turkey; Nigeria; Kenya; Pakistan; Indonesia; Vietnam About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Computer Science, Electrical Engineering, or Computer Engineering Expert to lead a team of technical trainers developing realistic, terminal-based tasks for advanced AI training and evaluation. You will oversee a pod of approximately 5–10 trainers, review tasks for technical accuracy, reproducibility, and grading reliability, and ensure they reflect authentic software, computational, and electrical engineering workflows. This role combines advanced technical expertise, computational problem-solving, quality assurance, and team leadership to help evaluate and improve next-generation AI systems. CONTRACT: Contractor assignment, 4 weeks COMMITMENT: Hourly, up to 40h/week LOCATIONS: Remote - Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam PROCESS: AI Interview NOTES: PhD Degree is mandatory! Key Responsibilities Lead and mentor a team of 5–10 technical trainers, ensuring consistent quality, productivity, and timely task delivery. Review technical tasks end to end, including problem statements, codebases, circuit netlists, hardware description languages (HDL), datasets, computational environments, reference solutions, and automated tests. Validate tasks involving high-performance computing (HPC), parallel computing, algorithms, distributed systems, compilers, operating systems, databases, machine learning systems, GPU computing, circuit design, signal processing, power systems, and embedded systems. Ensure tasks reflect realistic software engineering, research, and electrical engineering workflows requiring meaningful, multi-step technical reasoning. Verify technical correctness across algorithm complexity, numerical accuracy, memory management, concurrency, circuit laws, power balance, signal processing, timing constraints, and system stability. Validate compilers, simulation tools, software dependencies, computational environments, and build processes to ensure reproducible results. Identify unreliable tests caused by nondeterministic behavior, race conditions, hardware-dependent performance thresholds, or simulation convergence issues. Review automated graders to ensure they assess meaningful technical outputs, including functional correctness, performance, frequency response, waveforms, timing, efficiency, and system behavior. Identify technical inaccuracies, flawed assumptions, incorrect tolerances, and ways tasks could be bypassed without genuine computation or engineering analysis. Provide actionable technical feedback, track revisions, and ensure quality issues are resolved before task approval. Onboard trainers, allocate work, monitor quality and throughput, resolve technical blockers, and maintain technical documentation and best practices. Requirements PhD, postdoctoral experience, or equivalent advanced technical expertise in Computer Science, Electrical Engineering, Computer Engineering, or a closely related discipline. Strong programming skills in C/C++, Rust, Python, Julia, Fortran, MATLAB/Octave, or hardware description languages (HDL). Advanced proficiency in Linux and command-line environments. Hands-on expertise in at least one major area, such as parallel computing, systems programming, scientific software development, circuit simulation, signal processing, power systems, or digital hardware design. Strong understanding of algorithms, computational systems, numerical methods, software testing, or electrical engineering principles. Experience reviewing complex codebases, technical implementations, engineering simulations, or research outputs. Ability to evaluate algorithm correctness, computational performance, numerical accuracy, concurrency behavior, and technical reliability. Strong analytical judgment and the ability to identify technical errors, edge cases, race conditions, and flawed engineering assumptions. Experience mentoring, reviewing, or leading small technical teams. Excellent written communication skills for precise technical feedback and documentation.

Location: Bangladesh; Brazil; Colombia; Egypt; Ghana; India About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Chemical Engineering Expert to lead a team of technical trainers developing realistic, terminal-based engineering tasks for advanced AI training and evaluation. You will oversee a pod of approximately 5–10 trainers, review tasks for technical accuracy, reproducibility, and grading reliability, and ensure that each task reflects authentic chemical engineering workflows. This role combines advanced chemical engineering knowledge, computational modeling, technical quality assurance, and team leadership to improve how AI systems solve complex engineering problems. CONTRACT: Contractor assignment, 4 weeks COMMITMENT: Hourly, up to 40h/week LOCATIONS: Remote - Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam PROCESS: AI Interview NOTES: PhD Degree is mandatory! Key Responsibilities Lead, mentor, and coordinate a team of 5–10 technical trainers, ensuring consistent quality, productivity, and timely delivery. Review engineering tasks end to end, including problem statements, reaction kinetics, thermodynamic and property data, process flowsheets, computational environments, reference solutions, and automated tests. Validate tasks involving reaction engineering, thermodynamics, phase equilibria, transport phenomena, separation processes, process simulation, process control, optimization, combustion, and electrochemical engineering. Ensure tasks reflect realistic chemical engineering workflows and require meaningful, multi-step technical reasoning. Verify mass and energy balances, thermodynamic consistency, property data, unit handling, numerical accuracy, and solver convergence. Validate computational models, stiff ODE/DAE solvers, tolerances, initial conditions, dependencies, and simulation results for reproducibility. Review automated graders to ensure they assess meaningful engineering outputs, including conversion, yield, selectivity, purity, energy consumption, and process constraint satisfaction. Identify technical inaccuracies, unrealistic assumptions, incorrect tolerances, and opportunities to bypass genuine engineering calculations. Provide actionable technical feedback, track revisions, and ensure issues are resolved before task approval. Onboard trainers, allocate assignments, monitor quality and throughput, resolve technical blockers, and maintain documentation and best practices. Requirements PhD, postdoctoral experience, or equivalent advanced technical expertise in Chemical Engineering. Strong programming skills in Python, Julia, C/C++, or MATLAB/Octave. Proficiency in Linux and command-line environments. Hands-on expertise in at least one major area, such as process modeling, reaction kinetics, thermodynamic modeling, process simulation, or optimization. Strong understanding of chemical engineering fundamentals, numerical methods, computational modeling, and technical validation. Experience reviewing complex technical work, chemical process simulations, computational models, or research outputs. Ability to evaluate mass and energy balances, thermodynamic assumptions, numerical accuracy, solver convergence, and computational reliability. Strong analytical judgment and the ability to identify technical errors, edge cases, and flawed engineering assumptions. Experience mentoring, reviewing, or leading small technical teams. Excellent written communication skills for precise technical feedback and documentation.

Location: Pakistan; Indonesia; Kenya; Nigeria; Turkey; Vietnam About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Chemical Engineering Expert to lead a team of technical trainers developing realistic, terminal-based engineering tasks for advanced AI training and evaluation. You will oversee a pod of approximately 5–10 trainers, review tasks for technical accuracy, reproducibility, and grading reliability, and ensure that each task reflects authentic chemical engineering workflows. This role combines advanced chemical engineering knowledge, computational modeling, technical quality assurance, and team leadership to improve how AI systems solve complex engineering problems. CONTRACT: Contractor assignment, 4 weeks COMMITMENT: Hourly, up to 40h/week LOCATIONS: Remote - Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam PROCESS: AI Interview NOTES: PhD Degree is mandatory! Key Responsibilities Lead, mentor, and coordinate a team of 5–10 technical trainers, ensuring consistent quality, productivity, and timely delivery. Review engineering tasks end to end, including problem statements, reaction kinetics, thermodynamic and property data, process flowsheets, computational environments, reference solutions, and automated tests. Validate tasks involving reaction engineering, thermodynamics, phase equilibria, transport phenomena, separation processes, process simulation, process control, optimization, combustion, and electrochemical engineering. Ensure tasks reflect realistic chemical engineering workflows and require meaningful, multi-step technical reasoning. Verify mass and energy balances, thermodynamic consistency, property data, unit handling, numerical accuracy, and solver convergence. Validate computational models, stiff ODE/DAE solvers, tolerances, initial conditions, dependencies, and simulation results for reproducibility. Review automated graders to ensure they assess meaningful engineering outputs, including conversion, yield, selectivity, purity, energy consumption, and process constraint satisfaction. Identify technical inaccuracies, unrealistic assumptions, incorrect tolerances, and opportunities to bypass genuine engineering calculations. Provide actionable technical feedback, track revisions, and ensure issues are resolved before task approval. Onboard trainers, allocate assignments, monitor quality and throughput, resolve technical blockers, and maintain documentation and best practices. Requirements PhD, postdoctoral experience, or equivalent advanced technical expertise in Chemical Engineering. Strong programming skills in Python, Julia, C/C++, or MATLAB/Octave. Proficiency in Linux and command-line environments. Hands-on expertise in at least one major area, such as process modeling, reaction kinetics, thermodynamic modeling, process simulation, or optimization. Strong understanding of chemical engineering fundamentals, numerical methods, computational modeling, and technical validation. Experience reviewing complex technical work, chemical process simulations, computational models, or research outputs. Ability to evaluate mass and energy balances, thermodynamic assumptions, numerical accuracy, solver convergence, and computational reliability. Strong analytical judgment and the ability to identify technical errors, edge cases, and flawed engineering assumptions. Experience mentoring, reviewing, or leading small technical teams. Excellent written communication skills for precise technical feedback and documentation.

Location: Brazil Are you passionate about helping others build sustainable fitness habits? Join us as a Virtual Physical Fitness Trainer, guiding clients through short, goal-specific fitness engagements — all from the convenience of your own space. This is a flexible, freelance role: you set your own hours, making it a great complement to an existing job or private practice. Format at a glance Engagement type: Freelance, virtual-only, 1:1 (video + in-app chat) Session length: 30 or 60 minutes Session volume: Limited credits per presenting issue (per client's employer plan); extensions require a new, distinct goal Service model: Consultation & education — not physical therapy or medical treatment; not overseen by a medical department Client relationship: Short-term and goal-focused — expect healthy client rotation, not long-term retention Why to join us As part of our community, you'll collaborate with other fitness professionals to expand access to high-quality, structured fitness coaching. You'll help clients make real, focused progress within a defined engagement — and then move on to help the next client. What you'll do Provide 1:1 virtual fitness coaching through video sessions and in-app chat, working within each client's allotted credits. Conduct a baseline assessment (PAR-Q, fitness/injury history, and GP clearance for relevant chronic conditions) before building any plan. Design personalized or templated workout programs tailored to the client's goals, fitness level, and equipment access. Educate clients on strength, cardio, flexibility, and recovery principles, and cue proper form via live video. Track progress and close out each presenting issue with a clear outcome before starting a new one. Tag each session with the single Main PI that best matches the client's focus, plus up to three Secondary PIs, per the Q3 2026 PI taxonomy (see the Holistics PI Manual). Recognize when a client's needs go beyond fitness coaching and refer to the appropriate licensed professional or Intellect service. Respond to in-app chat within the 12-hour SLA and complete session notes within 24 hours. What's in scope Personalized/templated training plans and virtual fitness assessments. Live-session coaching, form cues, and technique demonstrations. Progress tracking, goal setting, and motivation/adherence support. General education on warm-up, cool-down, recovery, sleep, and hydration. What's out of scope Diagnosing or treating any injury, illness, or chronic condition. Physical therapy, rehab protocols, or “corrective” treatment. Recommending or prescribing supplements or performance-enhancing substances. Meal plans or specific dietary prescriptions (refer to Nutrition). Counselling on disordered eating or mental health concerns (refer to Intellect's mental health professionals). Promising specific outcomes, timelines, or guaranteed results. Requirements Proven experience as a personal trainer / fitness coach (typically 5+ years of active practice). Bachelor's in Exercise Science, Kinesiology, or related field, plus a recognized certification (e.g., ACE / NASM / NCSF / NSCA / ACSM / NESTA / ISSA), current or renewal in progress. Strong communication in English and local language; able to simplify concepts for non-experts. Language: Must speak Portuguese. Comfortable working within a structured, credit-based consultation model — even if your background involved longer-term or clinical care. Clear judgment about when to refer a client out, and willingness to do so even when it means the engagement ends. Tech-savvy: video conferencing, fitness-tracking tools, comfortable documenting session notes on a platform. PLEASE ATTACH AN ENGLISH VERSION RESUME Benefits Flexible hours and remote work from anywhere. The opportunity to make a focused, meaningful impact for a steady rotation of clients. A collaborative, mission-driven community of wellbeing professionals. Freedom to innovate and bring your unique expertise to our growing platform

Location: Brazil Fuel | Health | Empower | Change As a Virtual Nutritionist/Dietitian , you’ll guide clients toward healthier lives through personalized, evidence-based nutrition counseling. What You’ll Do Deliver virtual nutrition coaching via video and text Create educational and engaging nutrition content Design innovative nutrition programs Build strong, trust-based client relationships Requirements What We’re Looking For Degree in Nutrition or related field RDN or equivalent certification Strong communication and content creation skills Comfort with virtual platforms Benefits What We Offer Flexible, remote work Opportunity to make a global impact Creative and professional freedom Ideal to supplement your current job